A method, device and electronic equipment for predicting grinding surface roughness

Abstract

The present invention provides a method, device, and electronic device for predicting grinding surface roughness. The method comprises: determining a first degree of influence of workpiece feed rate, grinding tool rotational speed, and workpiece grinding depth on grinding force; determining a second degree of influence of contact arc length, workpiece feed rate, grinding tool rotational speed, and workpiece grinding depth on grinding surface roughness; and based on the first and second degrees of influence, determining a third degree of influence of contact arc length and grinding force on grinding surface roughness, and predicting grinding surface roughness based on the third degree of influence. By establishing a theoretical prediction model for grinding surface roughness with respect to grinding force and contact arc length, the present invention facilitates adjustment of grinding process parameters while improving model prediction accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of grinding process parameter optimization, and in particular to a method for predicting grinding surface roughness. Background Art

[0002] Ground surface roughness refers to the flatness and smoothness of machining marks on a workpiece's surface. It is a key physical characteristic that influences the technical performance of a workpiece's surface, significantly impacting its tribological properties such as friction, wear, and lubrication. Numerous factors influence ground surface roughness, making experimental research on grinding surfaces time-consuming and labor-intensive. Consequently, many researchers have attempted to develop models of ground surface roughness.

[0003] Grinding force and contact arc length have an important influence on the machining roughness of the workpiece. Most existing technologies have established a model of grinding roughness with respect to the undeformed cutting thickness from a geometric perspective, but have failed to establish a theoretical analysis model of grinding surface roughness with respect to grinding force and contact arc length. Summary of the Invention

[0004] In view of this, it is necessary to provide a method for predicting grinding surface roughness, which can improve the prediction accuracy of grinding surface roughness by establishing a theoretical analysis model of grinding roughness with respect to grinding force and contact arc length.

[0005] In order to solve the above problems, on the one hand, the present invention provides a method for predicting grinding surface roughness, comprising:

[0006] Determining a first degree of influence of the workpiece feed speed, the grinding tool rotational linear speed, and the workpiece grinding depth on the grinding force;

[0007] Determine the second degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the ground surface roughness;

[0008] Based on the first influence degree and the second influence degree, a third influence degree of the contact arc length and the grinding force on the grinding surface roughness is determined, and the grinding surface roughness is predicted based on the third influence degree.

[0009] In some possible implementations, the first impact degree is calculated using the following formula:

[0010]

[0011] Where, F n is the normal grinding force, F t is the tangential grinding force, b is the width of the grinding tool, v w is the workpiece feed speed, v s is the linear speed of the grinding tool, a dis the grinding depth of the workpiece, K1 and K2 are the chip forming force coefficients.

[0012] In some possible implementations, determining the second degree of influence of the contact arc length, the workpiece feed speed, the grinding tool rotational speed, and the workpiece grinding depth on the grinding surface roughness includes:

[0013] According to the definition of surface roughness, the fourth degree of influence of groove depth on the roughness of the ground surface is determined;

[0014] Determine the fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on groove depth;

[0015] Based on the fourth influence degree and the fifth influence degree, a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness is determined.

[0016] In some possible implementations, the fourth impact degree is calculated using the following formula:

[0017]

[0018] Where R av is the grinding surface roughness perpendicular to the grinding direction, E(R av ) is the expected surface roughness perpendicular to the grinding direction, ξ1 is the grinding residual area coefficient, h is the groove depth, E(h 2 ) is the expected square of the groove depth.

[0019] In some possible implementations, determining the fifth degree of influence of the contact arc length, the workpiece feed speed, the grinding tool rotation speed, and the workpiece grinding depth on the groove depth includes:

[0020] According to the conservation principle of grinding amount, the sixth degree of influence of workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction is determined;

[0021] Determine the seventh degree of influence of groove depth and contact arc length on the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction;

[0022] Based on the sixth influence degree and the seventh influence degree, a fourth influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the groove depth is determined.

[0023] In some possible implementations, the sixth impact level is calculated using the following formula:

[0024] MRR=ba d vw =E(A t )v S

[0025] Where, MRR is the grinding material removal rate, b is the width of the grinding tool, and a d is the workpiece grinding depth, v w is the workpiece feed speed, A t is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, E(A t ) is the expected projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the direction of abrasive particle movement, v S is the linear speed of the abrasive tool.

[0026] In some possible implementations, determining the seventh degree of influence of the groove depth and the contact arc length on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the abrasive particle movement direction includes:

[0027] Determine the eighth degree of influence of the groove depth and the number of effective abrasive grains in the grinding tool on the projected area of ​​all abrasive grains involved in grinding on the plane perpendicular to the direction of abrasive grain movement;

[0028] Determine the ninth degree of influence of contact arc length on the effective abrasive grain number of abrasive tool grinding;

[0029] Based on the eighth influence degree and the ninth influence degree, a seventh influence degree of the groove depth and the contact arc length on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the movement direction of the abrasive particles is determined.

[0030] In some possible implementations, the eighth impact degree is calculated using the following formula:

[0031] E(A t )=N d E(A ch )=ξ2N d E(A c )=ξ2N d E(h 2 )tanθ

[0032] Where A t is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, E(A t ) is the expected projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, N d A is the effective number of abrasive grains in grinding tool, ch is the projected area of ​​a single abrasive particle on the plane perpendicular to the direction of abrasive particle movement, E(A ch ) is the expected projection area of ​​a single abrasive particle on the vertical plane of the abrasive particle motion direction, ξ2 is the grinding overlap area coefficient, A cis the projected area of ​​the abrasive on the vertical plane of the abrasive motion direction without considering the superimposed cutting phenomenon of the abrasive, E(A c ) is the expected projection area of ​​the abrasive on the vertical plane of the abrasive motion direction without considering the abrasive superposition cutting phenomenon, h is the groove depth, E(h 2 ) is the expectation of the square of the groove depth, θ is the cone angle of the abrasive particle;

[0033] The ninth impact level is calculated by the following formula:

[0034] N d =C d S ABCD =blC d

[0035] Where C d is the effective number of abrasive grains per unit area of ​​the grinding tool, S ABCD is the grinding contact area, b is the width of the grinding tool, and l is the contact arc length.

[0036] On the other hand, the present invention also provides a grinding surface roughness prediction device, comprising:

[0037] Grinding parameter acquisition unit;

[0038] an influence degree determining unit, configured to determine a first influence degree of the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding force, and a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness;

[0039] The roughness prediction unit is used to establish a third influence degree of the contact arc length and the grinding force on the grinding surface roughness based on the first influence degree and the second influence degree, and then predict the grinding surface roughness in combination with the obtained grinding parameters.

[0040] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein:

[0041] The memory is used to store programs;

[0042] The processor is coupled to the memory and is used to execute the program stored in the memory to implement the steps in the above-mentioned grinding surface roughness prediction method.

[0043] The beneficial effect of adopting the above embodiment is: the grinding surface roughness prediction method provided by the present invention first determines the first degree of influence of the workpiece feed speed, the grinding tool rotation linear speed and the workpiece grinding depth on the grinding force, and then determines the second degree of influence of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed and the workpiece grinding depth on the grinding surface roughness. Finally, combining the first degree of influence and the second degree of influence, the third degree of influence of the contact arc length and the grinding force on the grinding surface roughness is determined, thereby realizing the prediction of the grinding surface roughness through the contact arc length and the grinding force, facilitating the adjustment of the grinding process parameters while improving the model prediction accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A schematic flow chart of an embodiment of a method for predicting grinding surface roughness provided by the present invention;

[0046] Figure 2 For the present invention Figure 1 A schematic flow chart of an embodiment of step S101;

[0047] Figure 3 For the present invention Figure 2 A schematic flow chart of an embodiment of step S202;

[0048] Figure 4 For the present invention Figure 3 A schematic flow chart of an embodiment of step S301;

[0049] Figure 5 A schematic structural diagram of an embodiment of a grinding surface roughness prediction device provided by the present invention;

[0050] Figure 6 This is a schematic structural diagram of an embodiment of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0051] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0052] It should be understood that the schematic drawings are not drawn to scale. The flowcharts used in the present invention illustrate operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowcharts can be implemented out of sequence, and steps that have no logical contextual relationship can be reversed in order or implemented simultaneously. In addition, those skilled in the art, guided by the content of the present invention, can add one or more other operations to the flowcharts or remove one or more operations from the flowcharts. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0053] The terms "first" and "second" in the embodiments of the present invention are used only for descriptive purposes and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Therefore, technical features specified as "first" or "second" may explicitly or implicitly include at least one of these features. "And / or" describes the association between associated objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone.

[0054] References herein to "embodiments" mean that a particular feature, structure, or characteristic described in connection with the embodiments may be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it constitute a separate or alternative embodiment that is mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0055] The present invention provides a method for predicting grinding surface roughness, which is described below.

[0056] In order to facilitate the understanding of the relevant parameters in the grinding surface roughness model, this paper first introduces the relevant parameters in combination with specific application scenarios. The overall structure of the grinding equipment is that the grinding surface is flat, the worktable drives the workpiece to do reciprocating linear motion, the spindle drives the grinding wheel to do rotational motion, and the workpiece feed speed is v w , the linear speed of the grinding wheel is v S , the workpiece grinding depth is a d The width of the grinding wheel is b, and the number of effective abrasive grains per unit area of ​​the grinding wheel involved in the grinding process is C. d During the grinding process, the contact arc length between the grinding tool and the workpiece is l, the grinding material removal rate is parameter MRR, and grooves will appear on the workpiece surface after grinding, and the groove depth is parameter h.

[0057] Furthermore, in order to facilitate the determination of the grinding surface roughness model, the following assumptions are made:

[0058] 1) The present invention does not consider the scratching and plowing stages, but only the cutting formation stage.

[0059] 2) Abrasive grains are distributed on the grinding tool to cut the workpiece. The shape of the abrasive grains is conical, and the cone angle of the abrasive grains is 2θ. The depth of the groove formed by a single abrasive grain cutting the workpiece is h. The grooves formed on the surface of the workpiece after the abrasive grains cut the workpiece are triangular in shape, and their size is determined by the cutting thickness or the groove depth.

[0060] 3) During the grinding process, the undeformed cutting thickness and the height of the abrasive grains follow the Rayleigh distribution. Therefore, the groove depth corresponds to the undeformed cutting thickness. The groove depth and the undeformed cutting thickness have the same probability density function, which also follows the Rayleigh distribution. The expression is:

[0061]

[0062] Where h is the groove depth and σ is the Rayleigh distribution parameter.

[0063] Based on the above description, Figure 1 A schematic flow chart of an embodiment of the method for predicting grinding surface roughness provided by the present invention is shown in FIG. Figure 1 As shown in Figure 2, the grinding surface roughness prediction methods include:

[0064] S101, determining a first degree of influence of the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding force;

[0065] S102, determining a second degree of influence of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness;

[0066] S103 : Determine a third influence degree of the contact arc length and the grinding force on the grinding surface roughness based on the first influence degree and the second influence degree, and predict the grinding surface roughness based on the third influence degree.

[0067] Compared with the prior art, the present application first determines the first degree of influence of the workpiece feed speed, the grinding tool rotation linear speed and the workpiece grinding depth on the grinding force, and then determines the second degree of influence of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed and the workpiece grinding depth on the grinding surface roughness. Finally, combining the first degree of influence and the second degree of influence, the third degree of influence of the contact arc length and the grinding force on the grinding surface roughness is determined. In this way, the grinding surface roughness can be predicted by the contact arc length and the grinding force, which facilitates the adjustment of the grinding process parameters while improving the model prediction accuracy.

[0068] In some embodiments, the grinding force refers to the force caused by the grinding action during the machining process. In step S101, the grinding force can be divided into three mutually perpendicular components, namely normal force, tangential force, and axial force. However, the axial force is much smaller than the other two components and can be ignored. Therefore, the formulas for the normal and tangential grinding forces per unit grinding width are:

[0069]

[0070] Where, F nc is the normal grinding force, F tc is the tangential grinding force, v w is the workpiece feed speed, v s is the linear speed of the grinding tool, a d is the grinding depth of the workpiece, K1 and K2 are the grinding force coefficients.

[0071] The expression of K2 is:

[0072]

[0073] Based on the above normal and tangential grinding forces per unit grinding width, multiplying them by the tool width b can obtain the normal and tangential grinding force model of the entire tool. In other words, the first degree of influence can be calculated by the following formula:

[0074]

[0075] Where, F n is the normal grinding force, F t is the tangential grinding force, b is the width of the grinding tool, v w is the workpiece feed speed, v s is the linear speed of the grinding tool, a d is the grinding depth of the workpiece, K1 and K2 are the chip forming force coefficients.

[0076] In some embodiments, reference Figure 2 , step S102 includes:

[0077] S201, determining a fourth degree of influence of groove depth on grinding surface roughness according to the definition of surface roughness;

[0078] It should be noted that the definition of grinding surface roughness is that the surface roughness is equal to the ratio of the area between the contour and the center line of the groove to the groove width. Considering the superposition of multiple abrasive particles and the fact that the groove depth follows the Rayleigh distribution, it can be concluded that the fourth degree of influence is calculated by the following formula:

[0079]

[0080] Where R av is the grinding surface roughness perpendicular to the grinding direction, E(Rav ) is the expected roughness of the grinding surface perpendicular to the grinding direction, h is the groove depth, E(h 2 ) is the expectation of the square of the groove depth, ξ1 is the grinding residual area coefficient, S b S is the remaining cross-sectional area after cutting without considering the superimposed cutting phenomenon of abrasive particles. k The remaining cross-sectional area after cutting considering the abrasive superposition cutting phenomenon.

[0081] S202, determining a fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed, and workpiece grinding depth on groove depth;

[0082] S203 : Determine a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness based on the fourth influence degree and the fifth influence degree.

[0083] In some embodiments, specifically, referring to Figure 3 , step S202 includes:

[0084] S301, based on the conservation principle of grinding removal, determining the sixth degree of influence of the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the abrasive particle motion direction;

[0085] It should be noted that the conservation principle of grinding volume, that is, the product of the projected area of ​​all abrasive particles involved in grinding in the grinding area and the linear speed of the grinding tool is equal to the grinding material removal rate, so the sixth degree of influence is calculated by the following formula:

[0086] MRR=ba d v w =E(A t )v S

[0087] Where, MRR is the grinding material removal rate, b is the width of the grinding tool, and a f is the workpiece grinding depth, v w is the workpiece feed speed, A t is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, E(A t ) is the expected projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the direction of abrasive particle movement, v S is the linear speed of the abrasive tool.

[0088] S302, determining the seventh degree of influence of the groove depth and the contact arc length on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the abrasive particle movement direction;

[0089] S303 : Based on the sixth and seventh influence levels, determine a fourth influence level of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the groove depth.

[0090] In some embodiments, specifically, referring to Figure 4 Step S302 includes:

[0091] S401, determining the eighth degree of influence of the groove depth and the number of effective abrasive grains of the grinding tool on the projected area of ​​all abrasive grains involved in grinding on a plane perpendicular to the direction of movement of the abrasive grains;

[0092] It should be noted that, according to the expectation that the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction is equal to the product of the expected projected area of ​​a single abrasive particle on the plane perpendicular to the abrasive particle movement direction and the number of effective abrasive particles in the grinding tool, the eighth degree of influence can be calculated by the following formula:

[0093] E(A t )=N d E(ξ ch )=ξ2N d E(A c )=ξ2N d E(h 2 )tanθ

[0094] Where A t is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, E(A t ) is the expected projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, N d A is the effective number of abrasive grains in grinding tool, ch is the projection area of ​​a single abrasive particle on the vertical plane of the abrasive particle motion direction considering the abrasive particle superposition cutting phenomenon, E(A ch ) is the expected projection area of ​​a single abrasive particle on the plane perpendicular to the abrasive particle motion direction, A c is the projected area of ​​the abrasive particles on the vertical plane of the abrasive particle movement direction without considering the abrasive particle superposition cutting phenomenon, ξ2 is the grinding overlap area coefficient, S bb The cutting cross-sectional area without considering the superimposed cutting phenomenon of abrasive particles, S kk The remaining cross-sectional area after cutting considering the abrasive superposition cutting phenomenon.

[0095] S402, determining the ninth degree of influence of the contact arc length on the number of effective abrasive grains in grinding with the abrasive tool;

[0096] It should be noted that the ninth impact level can be calculated using the following formula:

[0097] N d =C dS ABCD =blC d

[0098] Where S ABCD is the grinding contact area, C d is the effective abrasive grain number per unit area of ​​the grinding tool, b is the width of the grinding tool, and l is the contact arc length.

[0099] S403 , based on the eighth influence degree and the ninth influence degree, determining a seventh influence degree of the groove depth and the contact arc length on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the abrasive particle movement direction.

[0100] Based on the eighth, ninth and sixth impact levels above, the calculation formula for the fourth impact level is determined as follows:

[0101]

[0102] Based on the fourth impact level and the third impact level, the calculation formula for the second impact level is determined as follows:

[0103]

[0104] Based on the above second impact level combined with the first impact level, the calculation formula for the third impact level is determined as follows:

[0105]

[0106] or

[0107]

[0108] In the formula, the parameters ξ1 and ξ2 can be determined according to theoretical calculations, which are 0.33 and 0.6 respectively. The parameters b and θ can be determined according to the abrasive material. C d The parameters can be determined by measurement, and k1 and k2 can be determined by further experiments.

[0109] In order to verify the accuracy of the prediction model, the following experiment is carried out. In the experiment, the grinding tool is a 400-mesh grinding wheel with a diameter of 400 mm, the workpiece is aluminum alloy, the machine tool is a plane machine tool, and the contact arc length is based on Calculate, where d s is the equivalent abrasive tool diameter.

[0110] The grinding motion parameters and experimental results are shown in Table 1:

[0111] Table 1 Experimental process parameters and roughness measurement results

[0112]

[0113] Obtain the above process parameters and obtain the grinding surface roughness model as follows:

[0114]

[0115] or

[0116]

[0117] They are the first prediction model and the second prediction model respectively.

[0118] The deviation and deviation rate between the predicted roughness of the workpiece surface obtained using the first prediction model and the actual measured roughness are shown in Table 2:

[0119] Table 2 Bias and bias rate of the first prediction model

[0120]

[0121] The deviation and deviation rate between the predicted surface roughness of the workpiece obtained using the second prediction model and the actual measured roughness are shown in Table 3:

[0122] Table 3 Deviation and deviation rate of the second prediction model

[0123]

[0124]

[0125] Conclusion: From the results in Table 2 and Table 3, it can be seen that the deviation rates of the first prediction model and the second prediction model are both within 10%, indicating that the model accuracy is high and the prediction precision is good.

[0126] In order to better implement a grinding surface roughness prediction method in an embodiment of the present invention, based on a grinding surface roughness prediction method, correspondingly, as Figure 5 As shown, an embodiment of the present invention further provides a grinding surface roughness prediction device 500, comprising:

[0127] 501, grinding parameter acquisition unit;

[0128] 502. An influence degree determining unit, configured to determine a first influence degree of the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding force, and a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness;

[0129] 503. A roughness prediction unit, configured to establish a third influence degree of the contact arc length and the grinding force on the grinding surface roughness based on the first influence degree and the second influence degree, and then predict the grinding surface roughness in combination with the obtained grinding parameters.

[0130] The grinding surface roughness prediction device 500 provided in the above embodiment can implement the technical solution described in the above grinding surface roughness prediction method embodiment. The specific implementation principles of the above units can refer to the corresponding contents in the above grinding surface roughness prediction method embodiment, which will not be repeated here.

[0131] like Figure 6 As shown, the present invention also provides an electronic device 600. The electronic device 600 includes a processor 601, a memory 602 and a display 603. Figure 6 Only some of the components of the electronic device 600 are shown, but it should be understood that implementation of all of the shown components is not required, and more or fewer components may be implemented instead.

[0132] In some embodiments, the memory 602 may be an internal storage unit of the electronic device 600, such as a hard disk or memory of the electronic device 600. In other embodiments, the memory 602 may also be an external storage device of the electronic device 600, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 600.

[0133] Furthermore, the memory 602 may include both an internal storage unit of the electronic device 600 and an external storage device. The memory 602 is used to store application software installed in the electronic device 600 and various data.

[0134] In some embodiments, the processor 601 may be a central processing unit (CPU), a microprocessor, or other data processing chip, configured to execute program codes or process data stored in the memory 602, such as the grinding surface roughness prediction method of the present invention.

[0135] In some embodiments, the display 603 can be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 603 is used to display information on the electronic device 600 and to display a visual user interface. Components 601-603 of the electronic device 600 communicate with each other via a system bus.

[0136] In some embodiments of the present invention, when the processor 601 executes the grinding surface roughness prediction program in the memory 602, the following steps may be implemented:

[0137] Determine the primary influence of workpiece feed rate, grinding tool rotation linear speed and workpiece grinding depth on grinding force;

[0138] Determine the second degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the ground surface roughness;

[0139] Based on the first influence degree and the second influence degree, a third influence degree of the contact arc length and the grinding force on the grinding surface roughness is determined, and the grinding surface roughness is predicted based on the third influence degree.

[0140] It should be understood that, when the processor 601 executes the grinding surface roughness prediction program in the memory 602 , in addition to the above functions, it can also implement other functions. For details, please refer to the description of the corresponding method embodiment above.

[0141] Furthermore, the embodiment of the present invention does not specifically limit the type of the electronic device 600 mentioned. The electronic device 600 may be a portable electronic device such as a mobile phone, a tablet computer, a personal digital assistant (PDA), a wearable device, a laptop computer, or the like. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices equipped with IOS, Android, Microsoft, or other operating systems. The above-mentioned portable electronic devices may also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the present invention, the electronic device 600 may not be a portable electronic device, but a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0142] The above is a detailed introduction to a grinding surface roughness prediction method provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for predicting grinding surface roughness, applied to the surface of a workpiece ground by a grinding tool, characterized in that: The method comprises: Determine the primary influence of workpiece feed rate, grinding tool rotation linear speed and workpiece grinding depth on grinding force; Determine the second degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the ground surface roughness; Determining a third influence degree of the contact arc length and the grinding force on the grinding surface roughness based on the first influence degree and the second influence degree, and predicting the grinding surface roughness based on the third influence degree; Determine the second degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the ground surface roughness, including: According to the definition of surface roughness, the fourth degree of influence of groove depth on the roughness of the ground surface is determined; Determine the fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on groove depth; Determining a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness based on the fourth influence degree and the fifth influence degree; Determine the fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on groove depth, including: According to the conservation principle of grinding amount, the sixth degree of influence of workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction is determined; Determine the seventh degree of influence of groove depth and contact arc length on the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction; Based on the sixth influence degree and the seventh influence degree, a fourth influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the groove depth is determined.

2. A grinding surface roughness prediction method according to claim 1, characterized in that: The first impact degree is calculated by the following formula: Where, is the normal grinding force, is the tangential grinding force, is the width of the mold, is the workpiece feed speed, is the linear speed of the abrasive tool, is the grinding depth of the workpiece, and is the chip forming force coefficient.

3. A grinding surface roughness prediction method according to claim 1, characterized in that: The fourth impact degree is calculated by the following formula: Where, is the roughness of the grinding surface perpendicular to the grinding direction, is the expected roughness of the ground surface perpendicular to the grinding direction, is the grinding residual area coefficient, is the groove depth, is the expectation of the square of the groove depth.

4. A grinding surface roughness prediction method according to claim 1, characterized in that: The sixth impact level is calculated by the following formula: Where, is the grinding material removal rate, is the width of the mold, is the grinding depth of the workpiece, is the workpiece feed speed, is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, is the expected projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the direction of abrasive particle movement, is the linear speed of the abrasive tool.

5. The method for predicting grinding surface roughness according to claim 1, wherein: Determine the seventh degree of influence of groove depth and contact arc length on the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction, including: Determine the eighth degree of influence of the groove depth and the number of effective abrasive grains in the grinding tool on the projected area of ​​all abrasive grains involved in grinding on the plane perpendicular to the direction of abrasive grain movement; Determine the ninth degree of influence of contact arc length on the effective abrasive grain number of abrasive tool grinding; Based on the eighth influence degree and the ninth influence degree, a seventh influence degree of the groove depth and the contact arc length on the projected area of ​​all abrasive particles involved in grinding on a plane perpendicular to the movement direction of the abrasive particles is determined.

6. A grinding surface roughness prediction method according to claim 5, characterized in that: The eighth impact level is calculated by the following formula: Where, is the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction, is the expected projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the direction of abrasive particle movement, is the effective abrasive grain number of the grinding tool, is the projected area of ​​a single abrasive particle on the vertical plane of the abrasive particle movement direction, is the expected projection area of ​​a single abrasive particle on the plane perpendicular to the abrasive particle movement direction, is the grinding overlap coefficient, is the projected area of ​​the abrasive on the vertical plane of the abrasive movement direction without considering the superimposed cutting phenomenon of the abrasive, is the expected projection area of ​​the abrasive on the plane perpendicular to the abrasive motion direction without considering the abrasive superposition cutting phenomenon, is the groove depth, is the expectation of the square of the groove depth, is the cone angle of the abrasive grain; The ninth impact level is calculated by the following formula: Where, is the effective number of abrasive grains per unit area of ​​the grinding tool, is the grinding contact area, is the width of the mold, is the contact arc length.

7. A grinding surface roughness prediction device, characterized in that: include: A grinding parameter acquisition unit, used for acquiring grinding structure parameters and grinding motion parameters; an influence degree determining unit, configured to determine, based on the grinding structure parameters and the grinding motion parameters, a first influence degree of the workpiece feed speed and the grinding tool rotation linear speed on the grinding force, and a second influence degree of the contact arc length, the workpiece feed speed, and the grinding tool rotation linear speed on the grinding surface roughness; a roughness prediction unit, configured to establish a third influence degree of the contact arc length and the grinding force on the grinding surface roughness based on the first influence degree and the second influence degree, and predict the grinding surface roughness based on the third influence degree; Determine the second degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the ground surface roughness, including: According to the definition of surface roughness, the fourth degree of influence of groove depth on the roughness of the ground surface is determined; Determine the fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on groove depth; Determining a second influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the grinding surface roughness based on the fourth influence degree and the fifth influence degree; Determine the fifth degree of influence of contact arc length, workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on groove depth, including: According to the conservation principle of grinding amount, the sixth degree of influence of workpiece feed speed, grinding tool rotation linear speed and workpiece grinding depth on the projected area of ​​all abrasive particles involved in grinding on the vertical plane of the abrasive particle movement direction is determined; Determine the seventh degree of influence of groove depth and contact arc length on the projected area of ​​all abrasive particles involved in grinding on the plane perpendicular to the abrasive particle movement direction; Based on the sixth influence degree and the seventh influence degree, a fourth influence degree of the contact arc length, the workpiece feed speed, the grinding tool rotation linear speed, and the workpiece grinding depth on the groove depth is determined.

8. An electronic device, characterized in that: comprising a memory and a processor, wherein: The memory is used to store programs; The processor is coupled to the memory and is configured to execute the program stored in the memory to implement the steps of the grinding surface roughness prediction method according to any one of claims 1 to 6.

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