Control device and program for injection molding machine

Abstract

Provided is a control device and program for an injection molding machine that can even grasp the energy ratio with respect to consumed power of the injection molding machine. A control device for an injection molding machine that has a cylinder, a heater disposed on the periphery of the cylinder, and a screw disposed inside the cylinder, the control device calculating the energy ratio with respect to consumed power at a prescribed time, the control device for the injection molding machine comprising: a consumed power calculation section that calculates consumed power of the injection molding machine; an operation information acquisition section that acquires operation information including a heater operating rate of the heater and a rotational speed of the screw; a characteristic information acquisition section that acquires characteristic information including a power of the heater and a motor torque for driving the screw; an energy value calculation section that calculates at least a heat conduction energy value transferred from the heater to the resin and a shear energy value generated by the screw, based on the characteristic information and the operation information; and an energy ratio calculation section that calculates the energy ratio of the injection molding machine, based on the heat conduction energy value, the shear energy value, and the consumed power.

Description

Technical Field

[0001] This disclosure relates to a control device and program for an injection molding machine. Background Technology

[0002] Previously, an injection molding machine was known in which granules (resin) placed in a hopper were melted inside a cylinder and then injected into a mold. A heater was arranged on the outer periphery of the cylinder of the injection molding machine. The granules were melted by heating the cylinder with the heater.

[0003] Injection molding machines utilize heat supplied from a heater and frictional heat generated by the rotation of a screw to melt resin. From an energy-saving perspective, it is preferable to control the power consumption of the heater and motor. As such a technology, a technique for measuring the power consumption of the heater has been proposed (for example, see Patent Document 1). In addition, a technique for calculating molding conditions that minimize or eliminate power consumption has been proposed (for example, see Patent Document 2).

[0004] Existing technical documents

[0005] Patent documents

[0006] Patent Document 1: Japanese Patent No. 5882848

[0007] Patent Document 2: Japanese Patent No. 5714838 Summary of the Invention

[0008] The problem the invention aims to solve

[0009] Furthermore, in an injection molding machine, the particles fed from the hopper melt due to heat conduction from the heater and shear heating generated by the rotation of the screw. Generally, "thermal conduction" is characterized by a relatively low heat supply capacity but a small deviation. Conversely, "shearing" is characterized by a relatively high heat supply capacity but a large deviation. Preferably, the ratio of "thermal conduction" to "shearing" is optimally allocated according to the requirements of the molded product. Moreover, it is preferable if the energy ratio of the injection molding machine relative to its power consumption can be controlled.

[0010] Solution for solving the problem

[0011] (1) This disclosure relates to a control device for an injection molding machine, wherein the injection molding machine has a cylinder, a heater disposed around the periphery of the cylinder, and a screw disposed inside the cylinder, the control device calculating the energy ratio relative to the power consumption at a predetermined time, the control device for the injection molding machine comprising: a power consumption calculation unit that calculates the power consumption of the injection molding machine; an operation information acquisition unit that acquires operation information including the heater operating rate of the heater and the rotational speed of the screw; a characteristic information acquisition unit that acquires characteristic information including the power of the heater and the motor torque for driving the screw; an energy value calculation unit that calculates at least the thermal conductivity energy value transferred from the heater to the resin and the shear energy value generated by the screw based on the characteristic information and the operation information; and an energy ratio calculation unit that calculates the energy ratio of the injection molding machine based on the thermal conductivity energy value, the shear energy value, and the power consumption.

[0012] (2) Additionally, this disclosure relates to a program for causing a computer to operate as a control device of an injection molding machine, wherein the injection molding machine has a cylinder, a heater disposed around the periphery of the cylinder, and a screw disposed inside the cylinder, the control device calculating the energy ratio relative to power consumption at a predetermined time, and the program causing the computer to function as the following units: a power consumption calculation unit that calculates the power consumption of the injection molding machine; an operation information acquisition unit that acquires operation information including the heater operating rate and the screw rotation speed; a characteristic information acquisition unit that acquires characteristic information including the power of the heater and the motor torque for driving the screw; an energy value calculation unit that, based on the characteristic information and the operation information, calculates at least the thermal conductivity energy value transferred from the heater to the resin and the shear energy value generated by the screw; and an energy ratio calculation unit that, based on the thermal conductivity energy value, the shear energy value, and the power consumption, calculates the energy ratio of the injection molding machine.

[0013] The effects of the invention

[0014] According to this disclosure, a control device and program for an injection molding machine can be provided, which can even control the energy ratio of the injection molding machine relative to the power consumption. Attached Figure Description

[0015] Figure 1 This is a schematic diagram of an injection molding machine including the control device according to the first embodiment of this disclosure.

[0016] Figure 2This is a block diagram illustrating the control device of the first embodiment.

[0017] Figure 3 This is a schematic diagram showing the display content of the control device according to the first embodiment.

[0018] Figure 4 This is a flowchart illustrating the operation of the control device according to the first embodiment.

[0019] Figure 5 This is a block diagram illustrating the control device according to the second embodiment of this disclosure.

[0020] Figure 6 This is a schematic diagram showing the outline of the operation of the estimation unit of the control device according to the second embodiment.

[0021] Figure 7 This is a flowchart illustrating the operation of the control device according to the second embodiment.

[0022] Figure 8 This is a schematic diagram showing the display content of the control device according to the third embodiment of this disclosure.

[0023] Figure 9 This is a schematic diagram showing the display content of the control device according to the fourth embodiment of this disclosure.

[0024] Figure 10 This is a block diagram illustrating the control device according to the fifth embodiment of this disclosure.

[0025] Figure 11 This is a flowchart illustrating the operation of the control device according to the fifth embodiment.

[0026] Figure 12 This is a schematic diagram showing the display content of the control device according to the sixth embodiment of this disclosure.

[0027] Figure 13 This is a block diagram illustrating the control device according to the sixth embodiment.

[0028] Figure 14 This is a flowchart illustrating the operation of the control device according to the sixth embodiment. Detailed Implementation

[0029] Below, refer to Figures 1 to 14 To illustrate one embodiment of the present disclosure, the control device 1 and program of the injection molding machine 10 are described.

[0030] First, the injection molding machine 10 controlled by this embodiment will be described.

[0031] Injection molding machine 10 is a device that shapes particles by melting them and injecting them into a mold (not shown). For example... Figure 1 As shown, the injection molding machine 10 includes, for example, a cylinder 101, a heater 102, and a safety cover 103.

[0032] The cylinder body 101 is, for example, a cylindrical body. One axial end of the cylinder body 101 tapers in diameter towards the destination end. The cylinder body 101 has a screw (not shown) inside along the axial direction. The screw stirs the molten particles while moving the particles toward one end of the cylinder body 101.

[0033] Heaters 102 are disposed around cylinder block 101. Multiple heaters 102 are disposed, for example, along the axial direction of cylinder block 101. In this embodiment, three heaters 102 are disposed axially to cover the outer periphery of cylinder block 101. The heaters 102 heat cylinder block 101 to, for example, 200 degrees Celsius or higher.

[0034] The safety cover 103 is a concave shape disposed around the heater 102. The safety cover 103 is configured to prevent contact with the heater 102 when the temperature becomes relatively high.

[0035] According to the injection molding machine 10 described above, granules melt inside a cylinder 101 heated to over 200 degrees Celsius by a heater 102. A screw injects the molten granules from one end of the cylinder 101 into a mold. Thus, the injection molding machine 10, for example, molds a plastic article.

[0036] The control device 1 of the injection molding machine 10 according to the following embodiment calculates the thermal energy value of heat conduction from the heater 102 to the resin, and the shear energy value generated by the rotation of the screw. Furthermore, the control device of the injection molding machine 10 according to the following embodiment calculates the power consumption of the injection molding machine 10 and the energy ratio (sometimes referred to as energy efficiency) relative to the power consumption. Therefore, in the following embodiment, it is possible to easily determine the operating state of the injection molding machine 10. In addition, in the following embodiment, "in operation" refers to the instant at which the injection molding machine 10 is currently operating. Furthermore, in the following embodiment, "predetermined time" refers to the moment at which the surface temperature of the heater 102 is estimated.

[0037] [First Implementation Method]

[0038] Next, refer to Figures 1 to 4 To illustrate the control device 1 of the injection molding machine 10 according to the first embodiment of this disclosure.

[0039] Control device 1 is a device used to control the injection molding machine 10. Specifically, control device 1 is a device used to control the molding conditions of the injection molding machine 10. For example... Figure 1As shown, the control device 1 is connected to, for example, the injection molding machine 10. The control device 1 controls molding conditions such as injection molding speed, pressure, cylinder 101 temperature, mold temperature, and the injection volume of molten particles. Figure 2 As shown, the control device 1 includes an action information storage unit 11, an action information acquisition unit 12, a characteristic information storage unit 20, a characteristic information acquisition unit 21, a performance information storage unit 13, a performance information acquisition unit 14, a power consumption calculation unit 15, an energy value calculation unit 22, an energy ratio calculation unit 16, an output unit 18, and an output control unit 19.

[0040] The motion information storage unit 11 is, for example, a recording medium such as a hard disk. The motion information storage unit 11 stores the setting values ​​and measurement values ​​of the injection molding machine 10. Additionally, the motion information storage unit 11 stores measurement values ​​from sensors. For example, the motion information storage unit 11 stores the screw rotation rate R per unit time and the load current rate r during molding. M The operating rate r of heater 102 i Flow rate Q, cooling water outlet temperature T OUT and cooling water inlet temperature T IN Used as action information.

[0041] The motion information acquisition unit 12 is implemented, for example, by the CPU performing the operation. The motion information acquisition unit 12 acquires motion information including the heater operating rate of the heater 102 and the screw rotation speed. In this embodiment, the motion information acquisition unit 12 acquires motion information from the motion information storage unit 11.

[0042] The characteristic information storage unit 20 is, for example, a recording medium such as a hard disk. The characteristic information storage unit 20 stores constants related to the injection molding machine 10 as characteristic information. For example, the characteristic information storage unit 20 stores motor torque T including mechanical efficiency and reduction ratio, and load current rate r during idling. M0 The power of heater 102 (W) i The density ρ of water and the specific heat C of water W Used as characteristic information.

[0043] The characteristic information acquisition unit 21 is implemented, for example, by an operation performed by a CPU. The characteristic information acquisition unit 21 acquires characteristic information including the power of the heater 102 and the torque of the motor used to drive the screw.

[0044] The performance information storage unit 13 is, for example, a recording medium such as a hard disk. The performance information storage unit 13 stores the performance data of the injection molding machine 10 as performance information. For example, the performance information storage unit 13 stores the performance data as the ratio of the thermal energy transferred from the heater 102 to the cylinder 101 to the heat generated by the heater.

[0045] The performance information acquisition unit 14 is implemented, for example, by an operation performed by the CPU. The performance information acquisition unit 14 acquires performance information from the performance information storage unit 13. In this embodiment, the performance information acquisition unit 14 acquires the ratio of the heat generated by the heater 102 to the energy value of heat conducted from the heater 102 to the cylinder 101 as performance information. The performance information acquisition unit 14 sets the heat generated by the heater 102 as E. Hi Let the thermal energy transferred from heater 102 to cylinder 101 be E. Ei We obtain the performance of the ratio β as represented by the following formula 1. Here, i (i = 1, 2, ..., k) are natural numbers, representing the numbers used to identify the k heaters 102.

[0046] [Number 1]

[0047] (Indicates each heater)

[0048] The power consumption calculation unit 15 is implemented, for example, by operation of a CPU. The power consumption calculation unit 15 calculates at least the total power consumption of the injection molding machine 10. For example, the power consumption calculation unit 15 calculates the total power consumption of the injection molding machine 10 on a per sampling cycle basis. The power consumption calculation unit 15 calculates the voltage and current values ​​of the electricity flowing through the injection molding machine 10 by measurement. For example, the power consumption calculation unit 15 calculates the accumulated power consumption at each arbitrary time (e.g., each injection). Furthermore, the calculated power consumption is displayed on the output unit 18 at each arbitrary time (e.g., each injection).

[0049] The energy calculation unit 22 is implemented, for example, by operation performed by a CPU. Based on characteristic information and operation information, the energy calculation unit 22 calculates at least the thermal conductivity energy transferred from the heater 102 to the resin and the shear energy generated by the screw. The energy calculation unit 22, for example, sets the shear energy (J) generated by the screw rotation as E. S Let T be the motor torque (N·m) including mechanical efficiency and reduction ratio, R be the screw rotation per unit time (rad / s), and r be the load current rate during molding. M Set the load current rate during idling to r. M0 To calculate the following equation 2. Therefore, the energy value calculation unit 22 calculates the workload of the screw rotation motor as the shear energy value (J)E. S Motor torque can be either rated torque or maximum torque. Load current rate is a command value from the controller used to control the rotation of the screw motor, representing the ratio of load torque to motor torque.

[0050] [Number 2]

[0051]

[0052] In addition, the energy value calculation unit 22 sets the thermal conductivity energy value (J) to E. T Let the heat output (J) of heater 102 be E. Hi The energy value E that is transferred from heater 102 to cylinder 101 without dissipating heat into the atmosphere. Ei The heat output E relative to heater 102 Hi Let the ratio be β (0 < β ≤ 1), and let the heat (J) removed by the cooling water be E. W Let the heat conduction (J) to the main body of the machine (hopper side) be E0, and let the power (W) of the heater 102 be set to W. i Set the heater operating rate of heater 102 to r. i The density of water (g / cm³) 3 Let ρ be the heat of water and C be the specific heat of water (J / g·K). W The water flow rate (cm) 3 Set the temperature ( / s) to Q, and set the cooling water outlet temperature (K) to T. OUT Set the cooling water inlet temperature (K) to T. IN To calculate the following equation 3, the energy value calculation unit 22 calculates the thermal conductivity energy value E. T The heater operating rate will be described using a command value from a controller (not shown) that controls the heater 102, indicating the amount of operation of the heater 102. Alternatively, as an example, the controller may specify the command value based on the detected value at a temperature control point.

[0053] [Number 3]

[0054]

[0055] The energy ratio calculation unit 16 is implemented, for example, by a CPU. The energy ratio calculation unit 16 calculates the ratio with the power consumption as the denominator and the sum of the thermal conductivity energy value and the shear energy value as the numerator. The energy ratio calculation unit 16 is based on the thermal conductivity energy value E. T Shear energy value E S and power consumption E P To calculate the energy ratio η of injection molding machine 10 E The energy ratio calculation unit 16 calculates, for example, the power consumption E of the injection molding machine 10 as a whole by calculating the following formula 4. P The energy value E used when the resin melts M The ratio of energy η E Among them, the energy value E M The thermal energy E transferred from heater 102 to resin. T The shear energy value E generated by the rotation of the screwS sum.

[0056] [Number 4]

[0057]

[0058] The output unit 18 is, for example, a display unit such as a monitor. The output unit 18 outputs the calculated heat dissipation to the outside. The output unit 18 is, for example... Figure 3 The power consumption E of the injection molding machine 10 is shown. P The melt energy value E of the resin M and energy ratio η E .

[0059] The output control unit 19 is implemented, for example, by operation of the CPU. The output control unit 19 outputs the calculated power consumption E of the injection molding machine 10. P The melt energy value E of the resin M and energy ratio η Eη .

[0060] Next, refer to Figure 4 This will explain the process performed by control device 1.

[0061] First, the characteristic information acquisition unit 21 acquires characteristic information (step S1). The characteristic information acquisition unit 21 acquires characteristic information, for example, from the characteristic information storage unit 20.

[0062] Next, the power consumption calculation unit 15 calculates the power consumption (step S2). Next, the motion information acquisition unit 12 acquires motion information (step S3). The motion information acquisition unit 12 acquires, for example, motion information that has been pre-stored in the motion information storage unit 11.

[0063] Next, the energy value calculation unit 22 calculates the energy value (step S4). Next, the energy ratio calculation unit 16 calculates the energy ratio (step S5). Next, the output unit 18 outputs the power consumption, energy value, and energy ratio (step S6).

[0064] Next, it is determined whether the calculation of energy value and energy ratio should be repeated (step S7). If the calculation is repeated (step S7: "Yes"), the process returns to step S2. On the other hand, if the calculation is terminated (step S7: "No"), the processing based on this procedure ends.

[0065] Next, the procedure of this embodiment will be described.

[0066] The control device 1 of the injection molding machine 10 includes various structures that can be implemented individually by hardware, software, or a combination thereof. Here, implementation by software means implementation by having a computer read in and execute the program.

[0067] Programs can be stored and supplied to a computer using various types of non-transitory computer-readable media. Non-transitory computer-readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., floppy disks, magnetic tapes, hard disks), optical-magnetic recording media (e.g., optical discs), CD-ROMs (Read Only Memory), CD-Rs, CD-R / Ws, and semiconductor memories (e.g., mask ROMs, PROMs (Programmable ROMs), EPROMs (Erasable PROMs), flash ROMs, and RAMs (Random Access Memory)). Additionally, display programs can also be supplied to a computer via various types of transitory computer-readable media. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can supply programs to a computer via wired communication paths such as wires and optical fibers, or via wireless communication paths.

[0068] The control device 1 and program of the injection molding machine 10 according to the first embodiment achieve the following effects.

[0069] (1) A control device 1 for an injection molding machine 10, wherein the injection molding machine 10 has a cylinder 101, a heater 102 disposed around the cylinder 101, and a screw disposed inside the cylinder 101, the control device calculating the energy ratio relative to the power consumption at a predetermined time, the control device 1 for the injection molding machine 10 comprising: a power consumption calculation unit 15, which calculates the power consumption of the injection molding machine 10; an operation information acquisition unit 12, which acquires operation information including the heater operating rate of the heater 102 and the rotational speed of the screw; a characteristic information acquisition unit 21, which acquires characteristic information including the power of the heater 102 and the motor torque for driving the screw; an energy value calculation unit 22, which calculates at least the thermal conductivity energy value transferred from the heater 102 to the resin and the shear energy value generated by the screw based on the characteristic information and the operation information; and an energy ratio calculation unit 16, which calculates the energy ratio of the injection molding machine 10 based on the thermal conductivity energy value, the shear energy value, and the power consumption. Thus, the energy value and energy ratio can be obtained together with the power consumption. Therefore, it is easy to judge the quality of the energy ratio relative to the electricity consumed.

[0070] (2) The control device 1 of the injection molding machine 10 also includes a performance information acquisition unit 14, which acquires the ratio of the heat generated by the heater 102 to the energy value conducted from the heater 102 to the cylinder 101 as performance information. The energy value calculation unit 22 calculates at least the thermal energy value transferred from the heater 102 to the resin and the shear energy value generated by the screw based on the operation information, characteristic information, and performance information. Thus, the thermal energy value and shear energy value can be easily calculated based on the heat generated by the heater 102 and the energy value conducted to the cylinder 101.

[0071] [Second Implementation]

[0072] Next, refer to Figures 5 to 8 The control device 1 of the injection molding machine 10 according to the second embodiment of this disclosure will be described. In describing the second embodiment, the same reference numerals are used to refer to the same constituent elements, and their descriptions are omitted or simplified.

[0073] The purpose of the control device 1 for the injection molding machine 10 according to the second embodiment is to calculate the thermal conductivity energy value E with higher accuracy by using the surface temperature of the heater 102, compared to the first embodiment. T The control device 1 of the injection molding machine 10 according to the second embodiment estimates the surface temperature at a specified time by using the correlation between the actual surface temperature of the heater 102, the set temperature set in the heater 102, and the heater operating rate of the heater 102.

[0074] The control device 1 of the injection molding machine 10 according to the second embodiment differs from that of the first embodiment in the content acquired by the motion information acquisition unit 12, the characteristic information acquisition unit 21, and the performance information acquisition unit 14. Additionally, as... Figure 5 As shown, the control device 1 of the injection molding machine 10 according to the second embodiment differs from that of the first embodiment in that it includes a surface temperature acquisition unit 23, an estimation unit 25, and a shift calculation unit 24.

[0075] The operation information acquisition unit 12 also acquires the heater operating rate and the set temperature of the heater 102 within a specified period as operation information. For example, the operation information acquisition unit 12 also acquires the set temperature T of the heater 102. Si and the atmospheric temperature T near heater 102 R .

[0076] The characteristic information acquisition unit 21 also acquires the heat dissipation characteristics of the heater 102 as characteristic information. For example, the characteristic information acquisition unit 21 also acquires the heater surface area A. i Thermal conductivity h, emissivity ε, and Stefan-Boltzmann coefficient σ.

[0077] The performance information acquisition unit 14 acquires the performance data, specifically the change in the ratio of the surface temperature of the heater 102 to the set temperature, corresponding to the change in the heater operating rate of the heater 102 within a specified period, as performance information. The performance information acquisition unit 14 also acquires, for example, the heater operating rate r of the heater 102. jk The corresponding surface temperature T of heater 102 is shifted. Hjk With the set temperature T of heater 102 Sjk The ratio α jk The performance over time. Specifically, the performance information acquisition unit 14 records the past operating rate r of each heater 102. jk The ratio α of the past set temperature of heater 102 to the past surface temperature of heater 102 is obtained. jk (Surface temperature / Set temperature). Here, j (j = 1, 2, ..., m) is a natural number representing the numerical value used to identify the measurement results of the quantity m times. Here, k (k = 0, 1, ..., n) is an integer representing the numerical value used to identify the time points up to n.

[0078] The surface temperature acquisition unit 23 is implemented, for example, by operation of the CPU. The surface temperature acquisition unit 23 acquires the surface temperature of the heater 102 during a predetermined period immediately preceding a predetermined time. For example, the surface temperature acquisition unit 23 acquires the surface temperature T of the heater 102 during the period included in the acquired operation information in each sampling cycle. H .

[0079] The estimation unit 25 is implemented, for example, by operation performed by the CPU. The estimation unit 25 estimates the surface temperature of the heater 102 at a predetermined time. The estimation unit 25 estimates the surface temperature at the predetermined time using data from the data included in the data set that are similar to or consistent with the operation information and the calculated ratio of the surface temperature to the set temperature. The estimation unit 25 estimates the surface temperature T of the heater 102 at the predetermined time, for example, based on the operation information, the data set information, and the acquired surface temperature. HC .like Figure 6 As shown, the estimation unit 25, for example, determines the heater operating rate r of heater 102 from the performance information, which includes the operation information of the specified period immediately preceding the specified time. k The shift and the set temperature T of heater 102 Sk With respect to the surface temperature T of heater 102 Hk The ratio α k The actual performance during a period similar to or consistent with the trend. The estimation department 25 obtains the heater operating rate r of heater 102 at a specified time. C The corresponding set temperature T of heater 102 at a specified time. SCWith respect to the surface temperature T of heater 102 HC The ratio α C The estimation unit 25 estimates the ratio α obtained by... C The set temperature T of heater 102 included in the action information SC Multiply to estimate the surface temperature T of heater 102 at a specified time. HC The estimation unit 25 uses, for example, the record with the highest consistency rate (κ coefficient, etc.) with the shift as the record similar to the shift. The estimation unit 25 uses the records included in the record information that are similar to or consistent with the shift in the ratio of the operation information and the obtained surface temperature of the heater 102 to estimate the surface temperature at a specified time.

[0080] The shift calculation unit 24 is implemented, for example, by an operation performed by a CPU. Based on the acquired operation information and the acquired surface temperature, the shift calculation unit 24 calculates the shift in the ratio of surface temperature to set temperature corresponding to the shift in heater operating rate contained in the operation information. For example, the shift calculation unit 24 calculates the heater operating rate r of heater 102 contained in the operation information. k The ratio α of the surface temperature of heater 102 to the set temperature of heater 102 corresponds to the change in temperature. k The shift. The shift calculation unit 24, for example, calculates the operating rate r of each heater of heater 102. k To calculate the surface temperature T of heater 102 Hk / The set temperature T of heater 102 Sk The value of .

[0081] The energy calculation unit 22 calculates the heat dissipation from the surface of the heater 102 to the atmosphere based on the estimated surface temperature, characteristic information, and operation information. Furthermore, the energy calculation unit 22 calculates at least the thermal conductivity energy transferred from the heater 102 to the resin and the shear energy generated by the screw. For example, the energy calculation unit 22 sets the heat dissipation (J) from the heater 102 to the atmosphere as E. Ai Let the convective heat dissipation (J) be E. Ci Let the radiative heat dissipation (J) be E. Ri Let the surface temperature (K) of heater 102 be T. H Let the atmospheric temperature (K) near heater 102 be T. R The surface area (m²) of heater 102 2 Let A be the case. i Thermal conductivity (W / m) 2 Let K be h, emissivity be ε, and Stefan-Boltzmann coefficient (W / m) be h. 2 K 4Let σ be the number used to identify the k heaters 102, and let i = 1, 2...k. Use the following formula 5 to calculate the heat dissipation E. Ai .

[0082] [Number 5]

[0083]

[0084] Alternatively, the energy calculation unit 22 can also use the temperature difference between the surface temperature of the heater 102 and the ambient temperature as a function of thermal conductivity h to calculate the convective heat dissipation E. Ci In this way, the energy value calculation unit 22 uses parameters calculated based on the surface temperature as part of the characteristic information to calculate the thermal conductivity energy value and the shear energy value.

[0085] In addition, the energy value calculation unit 22 sets the thermal conductivity energy value (J) to E. T Let the heat output (J) of heater 102 be E. Hi Let E be the convective heat dissipation (J) from the heater 102 and a portion of the cylinder 101. Ci The radiative heat dissipation (J) from a portion of the heater 102 and cylinder 101 is E. Ri Let E be the amount of heat (J) that is removed by the cooling water. W Let the heat conduction to the hopper side (J) be E0, and let the power of heater 102 (W) be W. i Set the heater operating rate of heater 102 to r. i Let E be the convective heat loss (J) from the area not covered by the heater 102. CNi Let E be the radiative heat loss (J) from the area not covered by the heater 102. RNi The density of water (g / cm³) 3 Let ρ be the heat of water and C be the specific heat of water (J / g·K). W The water flow rate (cm) 3 Set the temperature ( / s) to Q, and set the cooling water outlet temperature (K) to T. OUT Set the cooling water inlet temperature (K) to T. IN Use the following equation 6 to calculate the thermal conductivity value E. T .

[0086] [Number 6]

[0087]

[0088] Next, refer to Figure 7 This will explain the process performed by control device 1.

[0089] First, the characteristic information acquisition unit 21 acquires characteristic information (step S11). The characteristic information acquisition unit 21 acquires characteristic information, for example, from the characteristic information storage unit 20.

[0090] Next, the power consumption calculation unit 15 calculates the power consumption (step S12). Next, the motion information acquisition unit 12 acquires motion information (step S13). The motion information acquisition unit 12 acquires, for example, motion information that has been pre-stored in the motion information storage unit 11.

[0091] Next, the surface temperature acquisition unit 23 acquires the surface temperature of the injection molding machine 10 during operation (step S14). Next, the performance information acquisition unit 14 acquires performance information (step S15). Next, the shift calculation unit 24 calculates the shift in the ratio of the surface temperature to the set temperature (step S16). Next, the estimation unit 25 estimates the surface temperature of the injection molding machine 10 at a predetermined time (step S17).

[0092] Next, the energy value calculation unit 22 calculates the energy value (step S18). Additionally, the energy ratio calculation unit 16 calculates the energy ratio (step S19). Next, the output unit 18 outputs the power consumed, the energy value, and the energy ratio (step S20).

[0093] Next, it is determined whether the calculation of energy value and energy ratio should be repeated (step S21). If the calculation is repeated (step S21: "Yes"), the process returns to step S12. On the other hand, if the calculation is terminated (step S21: "No"), the process based on this procedure ends.

[0094] The control device 1 and program of the injection molding machine 10 according to the second embodiment achieve the following effects.

[0095] (3) The control device 1 of the injection molding machine 10 further includes: a surface temperature acquisition unit 23, which acquires the surface temperature of the heater 102 during a specified period immediately preceding a specified time; and an estimation unit 25, which estimates the surface temperature of the heater 102 at the specified time. The operation information acquisition unit 12 also acquires the heater operating rate of the heater 102 and the set temperature of the heater 102 during the specified period as operation information. The characteristic information acquisition unit 21 also acquires the heat dissipation characteristics of the heater 102 as characteristic information. The performance information acquisition unit 14 acquires the performance of the change in the ratio of the surface temperature of the heater 102 to the set temperature corresponding to the change in the heater operating rate of the heater 102 during the specified period as performance information. The estimation unit 25 estimates the surface temperature of the heater 102 at the specified time based on the operation information, performance information, and the acquired surface temperature. The energy value calculation unit 22 calculates the heat dissipation from the surface of the heater 102 to the atmosphere based on the estimated surface temperature, characteristic information, and operation information, and at least calculates the thermal conductivity energy value transferred from the heater 102 to the resin and the shear energy value generated by the screw. By calculating the heat dissipation based on the estimated surface temperature of heater 102, the thermal energy transferred from heater 102 to resin can be calculated with high accuracy. Furthermore, the energy ratio can also be calculated with high accuracy.

[0096] (4) The control device 1 of the injection molding machine 10 also includes a shift calculation unit 24, which calculates the shift in the ratio of surface temperature to set temperature corresponding to the shift in heater operating rate included in the action information based on the acquired motion information and the acquired surface temperature. The estimation unit 25 estimates the surface temperature at a specified time using the actual data included in the actual data that are similar to or consistent with the motion information and the calculated shift in the ratio of surface temperature to set temperature. As a result, the thermal conductivity value and energy ratio can be calculated with higher accuracy.

[0097] [Third Implementation Method]

[0098] Next, refer to Figure 8 The control device 1 of the injection molding machine 10 according to the third embodiment of this disclosure will be described. In describing the third embodiment, the same reference numerals are used to refer to the same constituent elements, and their descriptions are omitted or simplified.

[0099] like Figure 8 As shown, the control device 1 of the injection molding machine 10 according to the third embodiment differs from that of the first and second embodiments in that the energy value calculation unit 22 calculates the ratio of thermal conductivity energy value to shear energy value. Additionally, the output unit 18... Figure 8 The output energy ratio is as shown.

[0100] The control device 1 and program of the injection molding machine 10 according to the third embodiment achieve the following effects.

[0101] (5) The energy value calculation unit 22 calculates the ratio of the thermal conductivity energy transferred from the heater 102 to the shear energy generated by the screw. Thus, the ratio of thermal conductivity energy to shear energy can be easily determined.

[0102] [Fourth Implementation Method]

[0103] Next, refer to Figure 9 The control device 1 of the injection molding machine 10 according to the fourth embodiment of this disclosure will be described. In describing the fourth embodiment, the same reference numerals are used to refer to the same constituent elements, and their descriptions are omitted or simplified.

[0104] The control device 1 of the injection molding machine 10 according to the fourth embodiment differs from that of the first to third embodiments in that the power consumption calculation unit 15 calculates the power consumption of the heater 102. Furthermore, the control device 1 of the injection molding machine 10 according to the fourth embodiment differs from that of the first to third embodiments in that the energy ratio calculation unit 16 calculates the heat generated E by the heater 102 using the following formula 7. Hi The thermal conductivity energy E transferred from heater 102 to resin T The ratio is the heater efficiency η. H Additionally, the output section 18, as shown... Figure 9 The output heater efficiency is as shown.

[0105] [Number 7]

[0106]

[0107] The control device 1 and program of the injection molding machine 10 according to the fourth embodiment achieve the following effects.

[0108] (6) The power consumption calculation unit 15 calculates the power consumption of the heater 102, and the energy value calculation unit 22 calculates the ratio of the power consumption of the heater 102 to the thermal energy value. Therefore, the efficiency of the heater 102 can be easily determined. Consequently, it is easy to determine the extent to which heat dissipation from the heater 102 to the atmosphere, cooling water, and the main body of the machine can be suppressed.

[0109] [Fifth Implementation]

[0110] Next, refer to Figures 10 to 11 The control device 1 of the injection molding machine 10 according to the fifth embodiment of this disclosure will be described. In describing the fifth embodiment, the same reference numerals are used to refer to the same constituent elements, and their descriptions are omitted or simplified.

[0111] The control device 1 of the injection molding machine 10 according to the fifth embodiment is also a device that calculates plasticity. The control device 1 of the injection molding machine 10 according to the fifth embodiment differs from that of the first to fourth embodiments in the content acquired by the motion information acquisition unit 12, the characteristic information acquisition unit 21, and the performance information acquisition unit 14. Furthermore, as... Figure 10 As shown, the control device 1 of the injection molding machine 10 according to the fifth embodiment differs from that of the first to fourth embodiments in that it also includes a plasticity calculation unit 26.

[0112] The motion information acquisition unit 12 acquires resin pressure and resin temperature as motion information during the metering process. Additionally, the motion information acquisition unit 12 also acquires the metering stroke S and metering time T. M .

[0113] The characteristic information acquisition unit 21 also acquires the screw diameter as characteristic information.

[0114] As performance information, the performance information acquisition unit 14 also acquires the performance data of resin pressure and resin temperature in the metering process as performance information.

[0115] The plasticity calculation unit 26 is implemented, for example, by an operation performed by a CPU. Based on operation information and performance information, the plasticity calculation unit 26 calculates the resin density and uses the calculated resin density to calculate the amount of resin that the injection molding machine 10 can melt per unit time as the plasticity. The plasticity calculation unit 26 calculates the plasticity P based on the number of injections. That is, the plasticity calculation unit 26 calculates the weight of plastic material that the injection molding machine 10 can melt per unit time based on the number of injections. The plasticity calculation unit 26 calculates the mass flow rate of the resin that is metered and accumulated at the front of the cylinder 101 during the metering process. That is, the plasticity (g / s) is set as P, the screw diameter (mm) is set as D, and the resin density (g / mm²) is set as... 3 Let ) be ρ R Set the measuring stroke (mm) to S and the measuring time (s) to T. M Use the following formula 8 to calculate plasticity.

[0116] [Number 8]

[0117]

[0118] Next, refer to Figure 11 This will explain the process performed by control device 1.

[0119] First, the characteristic information acquisition unit 21 acquires characteristic information (step S101). The characteristic information acquisition unit 21 acquires characteristic information, for example, from the characteristic information storage unit 20.

[0120] Next, the power consumption calculation unit 15 calculates the power consumption (step S102). Next, the motion information acquisition unit 12 acquires motion information (step S103). The motion information acquisition unit 12 acquires, for example, motion information that has been previously stored in the motion information storage unit 11.

[0121] Next, the surface temperature acquisition unit 23 acquires the surface temperature of the injection molding machine 10 during operation (step S104). Next, the performance information acquisition unit 14 acquires performance information (step S105).

[0122] Next, the energy value calculation unit 22 calculates the energy value (step S106). Additionally, the energy ratio calculation unit 16 calculates the energy ratio (step S107). Next, the plasticity calculation unit 26 calculates the plasticity (step S108). Next, the output unit 18 outputs the power consumption, energy value, energy ratio, and plasticity (step S109).

[0123] Next, it is determined whether to repeat the calculation of energy value, energy ratio, and plasticity (step S110). If the calculation is repeated (step S110: "Yes"), the process returns to step S102. On the other hand, if the calculation ends (step S110: "No"), the process based on this procedure ends.

[0124] The control device 1 and program of the injection molding machine 10 according to the fifth embodiment achieve the following effects.

[0125] (7) The motion information acquisition unit 12 acquires resin pressure and resin temperature as motion information during the metering process, and the performance information acquisition unit 14 acquires the actual resin pressure and resin temperature during the metering process as performance information. The plasticity calculation unit 26 calculates the resin density based on the motion information and performance information, and uses the calculated resin density to calculate the amount of resin that can be melted per unit time of the injection molding machine 10 as plasticity. This allows for confirmation of the plasticity relative to the energy ratio. Therefore, molding that achieves a balance between energy ratio and plasticity can be implemented.

[0126] [Sixth Implementation Method]

[0127] Next, refer to Figures 12 to 14 The control device 1 of the injection molding machine 10 according to the sixth embodiment of this disclosure will be described. In describing the sixth embodiment, the same reference numerals are used to refer to the same constituent elements, and their descriptions are omitted or simplified.

[0128] like Figure 12 As shown, the control device 1 of the injection molding machine 10 according to the sixth embodiment is a device capable of displaying changes in energy ratio and plasticity using a graph. Furthermore, the control device 1 of the injection molding machine 10 according to the sixth embodiment accepts the selection of the displayed energy ratio and plasticity, and can set the selected energy ratio and plasticity as molding conditions for the injection molding machine 10.

[0129] The control device 1 of the injection molding machine 10 according to the sixth embodiment differs from that of the first to fourth embodiments in that the output unit 18 can display the energy ratio and plasticity. Additionally, as... Figure 13 As shown, the control device 1 of the injection molding machine 10 according to the sixth embodiment differs from the first to fifth embodiments in that it also includes a molding condition storage unit 27, an input acquisition unit 28, a molding condition acquisition unit 29, and a setting unit 30.

[0130] Output unit 18 displays molding information corresponding to the specified energy ratio and plasticity. Output unit 18, for example... Figure 12 The output unit 18 displays a table showing the energy ratio and plasticity, as shown. For example, it displays the energy ratio and plasticity by injection count. Furthermore, the output unit 18 is configured to display a cursor for selecting the energy ratio and plasticity. The output unit 18 is also configured to display details of the molding conditions related to the energy ratio and plasticity that coincide with the displayed cursor.

[0131] The molding condition storage unit 27 is, for example, a recording medium such as a hard disk. The molding condition storage unit 27 stores the molding conditions set for the injection molding machine 10. For example, the molding condition storage unit 27 stores the start injection, end injection, metering position, and injection speed for each different molding condition. For example, the molding condition storage unit 27 stores molding conditions in cycles following the start of the cycle.

[0132] The input acquisition unit 28 is implemented, for example, by an action performed by the CPU. The input acquisition unit 28 acquires the specified energy ratio and plasticity from the displayed energy ratio and plasticity. The input acquisition unit 28, for example, acquires input indicating that a molding condition coinciding with the cursor position has been selected.

[0133] The molding condition acquisition unit 29 is implemented, for example, by an operation performed by a CPU. The molding condition acquisition unit 29 acquires the molding conditions of the injection molding machine 10 and the duration of the operation using those molding conditions as molding information. For example, the molding condition acquisition unit 29 acquires the duration of the operation as the number of injections.

[0134] The setting unit 30 is implemented, for example, by the CPU. The setting unit 30 sets molding conditions for the injection molding machine 10 that correspond to the specified energy ratio and plasticity. For example, the setting unit 30 sets molding conditions for the injection molding machine 10 at a position that coincides with the cursor by obtaining an instruction to set the injection molding machine 10 in the input acquisition unit 28.

[0135] Next, refer to Figure 14 This will explain the process performed by control device 1.

[0136] First, the characteristic information acquisition unit 21 acquires characteristic information (step S201). The characteristic information acquisition unit 21 acquires characteristic information, for example, from the characteristic information storage unit 20.

[0137] Next, the power consumption calculation unit 15 calculates the power consumption (step S202). Next, the motion information acquisition unit 12 acquires motion information (step S203). The motion information acquisition unit 12 acquires, for example, motion information that has been pre-stored in the motion information storage unit 11.

[0138] Next, the surface temperature acquisition unit 23 acquires the surface temperature of the injection molding machine 10 during operation (step S204). Next, the performance information acquisition unit 14 acquires performance information (step S205).

[0139] Next, the energy value calculation unit 22 calculates the energy value (step S206). Additionally, the energy ratio calculation unit 16 calculates the energy ratio (step S207). Next, the plasticity calculation unit 26 calculates the plasticity (step S208). Next, the output unit 18 outputs the power consumption, energy value, energy ratio, and plasticity (step S209).

[0140] Next, it is determined whether the molding conditions have changed (step S210). If there is no change (step S210: "Yes"), the process proceeds to step S211. On the other hand, if there is a change (step S210: "No"), the process proceeds to step S212.

[0141] In step S211, it is determined whether the calculation of energy value, energy ratio, and plasticity should be repeated. If the calculation is repeated (step S211: "Yes"), the process returns to step S202. On the other hand, if the calculation is terminated (step S211: "No"), the process based on this procedure ends.

[0142] In step S212, the molding condition storage unit 27 stores the changed molding conditions. Next, the process proceeds to step S211.

[0143] The control device 1 and program of the injection molding machine 10 according to the sixth embodiment achieve the following effects.

[0144] (8) The control device 1 of the injection molding machine 10 further includes: an output unit 18 capable of displaying energy ratio and plasticity; an input acquisition unit 28 capable of acquiring a specified energy ratio and plasticity from the displayed energy ratio and plasticity; and a molding condition acquisition unit 29 capable of acquiring the molding conditions of the injection molding machine 10 and the period of operation using the molding conditions as molding information, and the output unit 18 displays molding information corresponding to the specified energy ratio and plasticity. Thus, the shift in energy ratio and plasticity can be easily observed regarding the operating injection molding machine 10. Furthermore, the molding conditions can be easily determined for the specified energy ratio and plasticity.

[0145] (9) If the molding conditions change, the molding condition storage unit 27 saves the molding conditions, for example, in a cycle after the cycle begins. Thus, compared to saving all molding conditions related to molding, the molding conditions can be stored using the minimum required storage area.

[0146] (10) The control device 1 of the injection molding machine 10 also includes a setting unit 30, which sets molding conditions for the injection molding machine 10 that correspond to the specified energy ratio and plasticity. As a result, the molding conditions that previously utilized the energy ratio and plasticity of the injection molding machine 10 can be easily reset.

[0147] The preferred embodiments of the control device and program for the injection molding machine of this disclosure have been described above. However, this disclosure is not limited to the above embodiments and can be modified appropriately.

[0148] For example, in the above embodiments, the injection molding machine 10 can also be either a coaxial screw type or a plunger type.

[0149] Furthermore, in the above embodiments, the measurement data related to surface temperature included in the performance information can be measured either by a temperature sensor as a direct method or by thermal imaging (radiation thermometer) as an indirect method.

[0150] Furthermore, in the above embodiments, the measured data related to surface temperature included in the performance information need to exist at least once in each heater 102. The more measurement points there are, the higher the accuracy of calculating the energy value.

[0151] Furthermore, in the above embodiment, the motion information acquisition unit 12 can also acquire the set value on the injection molding machine 10 regarding the screw rotation amount R. Additionally, the motion information acquisition unit 12 can also acquire values ​​from a detector such as an encoder mounted on the screw rotation motor.

[0152] In addition, in the above embodiment, the energy value calculation unit 22 and the power consumption calculation unit 15 can also perform calculations in any interval such as each unit time or each cycle time.

[0153] Furthermore, in the above embodiment, the energy value calculation unit 22 and the power consumption calculation unit 15 can also calculate the total energy value and the total power consumption. Additionally, the energy value calculation unit 22 and the power consumption calculation unit 15 can also calculate the energy value and power consumption per unit time within any calculation interval.

[0154] In addition, in the above embodiment, the energy value calculation unit 22 may also use the value displayed by the power meter installed on the screw rotation motor as the motor's workload, and use it as the shear energy value.

[0155] Furthermore, in the above embodiment, the energy calculation unit 22 can also calculate the shear energy value using methods other than calculating the motor's workload. For example, the energy calculation unit 22 can also calculate based on the amount of temperature rise in the resin caused by frictional heat between the screw and the resin. Alternatively, the energy calculation unit 22 can also calculate based on the resin's viscosity and strain rate.

[0156] Furthermore, in the above embodiment, the energy value calculation unit 22 or the power consumption calculation unit 15 can also calculate the heat output E of the heater 102 based on the current value flowing through the heater 102 and the resistance value of the heater 102. H .

[0157] Furthermore, in the above embodiment, the output unit 18 may also output the energy value, energy ratio, and average value of plasticity over a certain period of time. Additionally, the output unit 18 may also output the energy value and energy ratio at a specific time.

[0158] Furthermore, in the above embodiments, the output unit 18 may not be the screen of the injection molding machine 10, but rather a PC or the like located in a separate location from the injection molding machine 10. Additionally, the output unit 18 may also be a centralized management device for managing multiple injection molding machines 10.

[0159] In addition, in the above embodiment, the output unit 18 may also display all calculated parameters in addition to the above-mentioned parameters.

[0160] Furthermore, in the above embodiment, the surface temperature acquisition unit 23 can also acquire the surface temperature of the heater 102 as a ratio relative to a set temperature. That is, the surface temperature acquisition unit 23 can also acquire the ratio α of the surface temperature of the heater 102 to the set temperature of the heater 102. k The surface temperature of the heater 102 can be used instead. In this case, the control device 1 of the injection molding machine 10 may not have a shift calculation unit 24. The estimation unit 25 may also use the shift of the ratio of the shift of the actual data contained in the actual data to the actual data of the operation information and the obtained surface temperature of the heater 102 to estimate the surface temperature at a specified time.

[0161] Furthermore, in the above embodiment, the power consumption calculation unit 15 can also calculate the power used when driving the injection molding machine 10, the power used in the heater 102, and the power used in the control device 1 of other injection molding machines 10, etc., separately. The power consumption calculation unit 15 can also further detect the power used when driving the injection molding machine 10 separately for each driving motor. The power consumption calculation unit 15 can also calculate the power consumption of the motor based on mechanical efficiency, motor torque, motor speed, and motor load current rate. Additionally, the power consumption calculation unit 15 can also calculate the power consumption of the heater 102 based on the heater power and heater operating rate. The power consumption calculation unit 15 can also calculate the heat output E of the heater 102. Hi .

[0162] Furthermore, in the above embodiment, the energy ratio calculation unit 16 may not use the overall power consumption E of the injection molding machine 10. P The energy ratio η is calculated using the electricity consumed in the injection unit. E That is, the energy ratio calculation unit 16 can also calculate the energy ratio by taking the sum of the electricity used in the heater 102 and the electricity used in the screw drive (rotation + forward and backward) as the consumed electricity. In addition, the output unit 18 displays the calculated energy value and energy ratio at each arbitrary time (e.g., injection cycle). At this time, the energy value calculation unit 22 can also calculate the accumulated energy value and energy ratio at any arbitrary time.

[0163] In addition, in the above embodiment, the estimation unit 25 can also calculate the set temperature T of the heater 102. S With respect to the surface temperature T of heater 102 Hk The ratio α k In addition, the estimation unit 25 can also obtain ratios calculated externally.

[0164] Alternatively, in the above embodiment, the surface temperature acquisition unit 23 may use the measured value of the sensor or a value provided from an external source as the surface temperature. The surface temperature acquisition unit 23 may also acquire the surface temperature estimated by the estimation unit 25.

[0165] Furthermore, in the first embodiment described above, the performance information acquisition unit 14 acquires the thermal energy value E transferred from the heater 102 to the cylinder 101 without dissipating heat to the atmosphere. Ei Relative to the heat output E of the heater Hi The ratio β. The ratio β can also be a constant (e.g., 0.7). Alternatively, the ratio β can also be a variable. In the case of a heat insulation cover, the ratio β can be, for example, 0.95. In the case of a regular cover, the ratio β can be, for example, 0.6. In addition, when the set temperature is 250 degrees or higher, the ratio β can be set to, for example, 1.05 times the above value. In addition, the ratio β can also be obtained by using the regression equation of Equation 9 below. Furthermore, when the ratio β is input from an external source, the control device 1 of the injection molding machine 10 may not have a performance information acquisition unit 14.

[0166] [Number 9]

[0167] β=β1x1+β2x2+…+β N x N

[0168] (β is a constant, and x is a variable that varies depending on the measurement conditions)

[0169] Furthermore, in the above embodiments, the density ρ of the resin R It can also be input externally as a constant. Additionally, the density ρ of the resin... R It can also be obtained by the characteristic information acquisition unit 21. Additionally, the plasticity calculation unit can also calculate the resin density ρ. R The resin pressure and resin temperature are considered as variables that vary. In this case, the relationship between the resin pressure change caused by the resin density and resin temperature can also be obtained beforehand as empirical information. Regarding resin pressure, a measured value of the resin pressure can be obtained by installing a pressure sensor in the nozzle or cylinder 101. Alternatively, the resin pressure can be obtained as the value from a pressure detection sensor (load sensor) installed for screw control. The resin temperature can also be a measured value from a temperature sensor installed in the nozzle or cylinder 101. Alternatively, the resin temperature can use a value set for heater control. The resin density can also be calculated for each sampling cycle. Alternatively, the resin density can be calculated as an average value for each arbitrary time (e.g., the number of injections).

[0170] All implementation methods can be implemented not only individually, but also in combination. For example, implementation method 1 and implementation method 3 can also be implemented in combination.

[0171] Explanation of reference numerals in the attached figures

[0172] 1: Control device; 10: Injection molding machine; 12: Motion information acquisition unit; 14: Performance information acquisition unit; 15: Power consumption calculation unit; 16: Energy ratio calculation unit; 21: Characteristic information acquisition unit; 22: Energy value calculation unit; 23: Surface temperature acquisition unit; 24: Push calculation unit; 25: Estimation unit; 26: Plasticity calculation unit; 28: Input acquisition unit; 29: Molding condition acquisition unit; 30: Setting unit; 101: Cylinder; 102: Heater; 103: Safety cover.

Claims

1. A control device for an injection molding machine, wherein, The injection molding machine has a cylinder, a heater disposed around the periphery of the cylinder, and a screw disposed inside the cylinder. The control device calculates the energy ratio relative to the power consumption at a specified time. The control device of the injection molding machine includes: A power consumption calculation unit calculates the power consumption of the injection molding machine; The motion information acquisition unit acquires motion information including the heater operating rate of the heater and the screw rotation speed; The characteristic information acquisition unit acquires characteristic information including the power of the heater and the torque of the motor used to drive the screw; The energy value calculation unit calculates at least the thermal conductivity energy transferred from the heater to the resin and the shear energy generated by the screw, based on the characteristic information and the action information. as well as The energy ratio calculation unit calculates the energy ratio of the injection molding machine based on the thermal conductivity energy value, the shear energy value, and the power consumption.

2. The control device for the injection molding machine according to claim 1, wherein, It also includes a performance information acquisition unit, which acquires the ratio of the heat generated by the heater to the energy value of heat conduction from the heater to the cylinder as performance information. The energy value calculation unit calculates at least the thermal conductivity energy transferred from the heater to the resin and the shear energy generated by the screw, based on the action information, the characteristic information, and the performance information.

3. The control device for the injection molding machine according to claim 2 further comprises: A surface temperature acquisition unit acquires the surface temperature of the heater during a predetermined period immediately preceding the predetermined time; and The estimation unit estimates the surface temperature of the heater at the specified time. The action information acquisition unit also acquires the heater operating rate and the set temperature of the heater during the specified period as the action information. The characteristic information acquisition unit also acquires the heat dissipation characteristics of the heater as the characteristic information. The performance information acquisition unit acquires the performance data corresponding to the change in the ratio of the heater's surface temperature to the set temperature during the specified period, which is used as performance information. The estimation unit estimates the surface temperature of the heater at the specified time based on the action information, the performance information, and the acquired surface temperature. The energy value calculation unit calculates the heat dissipation from the surface of the heater to the atmosphere based on the estimated surface temperature, the characteristic information, and the operation information, and at least calculates the thermal conductivity energy transferred from the heater to the resin and the shear energy generated by the screw.

4. The control device for the injection molding machine according to claim 3, wherein, It also includes a shift calculation unit, which calculates, based on the acquired motion information and the acquired surface temperature, a shift in the ratio of the surface temperature to the set temperature corresponding to a shift in the heater operating rate included in the motion information. The estimation unit uses the performance data contained in the performance data that are similar to or consistent with the action information and the calculated change in the ratio of the surface temperature to the set temperature to estimate the surface temperature at the specified time.

5. The control device for the injection molding machine according to claim 3, wherein, The surface temperature acquisition unit acquires the surface temperature of the heater as a ratio relative to the set temperature. The estimation unit uses the performance data contained in the performance data that are similar to or consistent with the movement information and the obtained ratio in terms of the change in the surface temperature of the heater to estimate the surface temperature at the specified time.

6. The control device for an injection molding machine according to claim 4 or 5, wherein, The estimation unit estimates the surface temperature at the specified time based on the ratio of the surface temperature at a moment shown by actual data showing a similar or consistent trend in the surface temperature of the heater to the set temperature.

7. The control device for an injection molding machine according to any one of claims 3 to 5, wherein, The energy value calculation unit uses parameters calculated based on the surface temperature as part of the characteristic information to calculate the thermal conductivity energy value and the shear energy value.

8. The control device for an injection molding machine according to any one of claims 1 to 5, wherein, The energy ratio calculation unit calculates the ratio with the power consumption as the denominator and the sum of the thermal conductivity energy value and the shear energy value as the numerator.

9. The control device for an injection molding machine according to any one of claims 1 to 5, wherein, The energy value calculation unit calculates the ratio of the thermal conductivity energy transferred from the heater to the resin to the shear energy generated by the screw.

10. The control device for an injection molding machine according to any one of claims 1 to 5, wherein, The power consumption calculation unit calculates the power consumption of the heater. The energy ratio calculation unit calculates the ratio of the power consumed by the heater to the thermal conductivity value.

11. The control device for an injection molding machine according to any one of claims 2 to 5, wherein, It also includes a plasticity calculation unit, which calculates the amount of resin that the injection molding machine can melt per unit time as its plasticity. The motion information acquisition unit acquires resin pressure and resin temperature during the metering process as the motion information. As the performance information, the performance information acquisition unit acquires the performance data of resin pressure and resin temperature in the metering process as performance information. The plasticity calculation unit calculates the resin density based on the action information and the performance information, and uses the calculated resin density to calculate the amount of resin that the injection molding machine can melt per unit time as the plasticity.

12. The control device for the injection molding machine according to claim 11, further comprising: An output section that can display the energy ratio and the plasticity; The input acquisition unit acquires the specified energy ratio and plasticity from the displayed energy ratio and plasticity; and The molding condition acquisition unit acquires the molding conditions of the injection molding machine and the period of operation using the molding conditions as molding information. in, The output unit displays molding information corresponding to the specified energy ratio and plasticity.

13. The control device for an injection molding machine according to claim 12, wherein, It also includes a setting unit that sets molding conditions for the injection molding machine that correspond to the specified energy ratio and plasticity.

14. A non-transitory computer-readable medium storing a program for causing a computer to operate as a control device for an injection molding machine, wherein... The injection molding machine has a cylinder, a heater disposed around the periphery of the cylinder, and a screw disposed inside the cylinder. The control device calculates the energy ratio relative to the power consumption at a specified time, and the program enables the computer to function as the following components: A power consumption calculation unit calculates the power consumption of the injection molding machine; The motion information acquisition unit acquires motion information including the heater operating rate of the heater and the screw rotation speed; The characteristic information acquisition unit acquires characteristic information including the power of the heater and the torque of the motor used to drive the screw; The energy value calculation unit calculates at least the thermal conductivity energy transferred from the heater to the resin and the shear energy generated by the screw, based on the characteristic information and the action information. as well as The energy ratio calculation unit calculates the energy ratio of the injection molding machine based on the thermal conductivity energy value, the shear energy value, and the power consumption.

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