3D printer anomaly detection method and device and 3D printer

Abstract

The invention discloses a 3D printer anomaly detection method and device and a 3D printer. The anomaly detection method comprises the steps that a time point corresponding to a stable state of the printer is determined as a stable point time point; heating parameters of the printer at the stable time point and after the stable time point are obtained; according to the heating parameters, reference output power and real-time output power are determined; determining a detection result according to the reference output power and the real-time output power; the detection result is used for indicating whether the printer is abnormal. Compared with the prior art, a detection device does not need to be additionally arranged, the output power of the printer is determined according to the heating parameters only by obtaining the heating parameters of the printer, then whether the printer is abnormal or not is detected through the output power, the maintenance cost and operation complexity of products can be reduced, and the overall economical efficiency and reliability are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of 3D printers, and in particular to a 3D printer abnormality detection method, device and 3D printer. Background Art

[0002] 3D printing (3 Dimensional Printing) is a type of additive manufacturing technology that is based on a computer three-dimensional model and is controlled by software to form a layered manufacturing process. 3D printing technology is usually implemented using a digital technology printer. 3D printers can be used in any industry and are widely used in medicine, construction, automobiles, aerospace, and education.

[0003] During the printing process, if the material fails to adhere to the printing platform successfully, the nozzle on the 3D printer nozzle will gradually accumulate on the nozzle and gradually accumulate upwards, wrapping the entire heating device and cooling fan in the printing material. In this case, it will be difficult to clean the material and cause damage to the nozzle. The nozzle is a key component of the 3D printer. Once damaged, the entire machine cannot be used normally. Therefore, it is crucial to protect the safety of the nozzle.

[0004] In existing 3D printers, it is necessary to add a detection device to the nozzle to realize abnormality detection. This abnormality detection method not only increases the hardware cost, but may also affect the normal operation of the nozzle and even cause the nozzle to increase in size. In addition, the additional detection device requires regular calibration and maintenance, which increases the maintenance cost and operational complexity of the product and reduces the overall economy and reliability. Summary of the invention

[0005] In order to overcome the shortcomings of the prior art, the purpose of the present invention is to provide a 3D printer abnormality detection method, device and 3D printer, which do not require additional detection devices and can detect abnormalities of the nozzle by analyzing the internal data of the 3D printer.

[0006] In order to solve the above problems, the present invention is implemented according to the following scheme: A 3D printer abnormality detection method is provided, comprising: Determine the time point corresponding to when the printer is in a stable state as a stable time point; Obtain the heating parameters of the printer at and after the stabilization time point; Determining a reference output power and a real-time output power according to the heating parameters; A detection result is determined according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

[0007] Compared with the prior art, the present invention provides a 3D printer abnormality detection method with the following beneficial effects: no additional detection device is required, and the output power of the printer can be determined according to the heating parameters by simply obtaining the heating parameters of the printer. Then, whether the printer is abnormal can be detected by the output power, which can reduce the maintenance cost and operation complexity of the product and improve the overall economy and reliability.

[0008] Optionally, the printer includes a heating device; the heating parameters include reference parameters and real-time parameters of the heating device; The obtaining of the heating parameters of the printer at the stable time point and after the stable time point includes: Obtain the baseline parameters of the heating device at the stable time point and the real-time parameters after the stable time point.

[0009] Optionally, determining the detection result according to the reference output power and the real-time output power includes: Determining a power difference according to the reference output power and the real-time output power; A detection result is determined according to the power difference.

[0010] Optionally, determining a detection result according to the power difference includes: When the power difference is less than the power threshold, the detection result is that the printer is normal; When the power difference is greater than or equal to the power threshold, obtaining a duration of the power difference; A detection result is determined according to the duration.

[0011] Optionally, determining the detection result according to the duration includes: When the duration is less than the time threshold, the detection result is that the printer is normal; When the duration is greater than or equal to a time threshold, the detection result is that the printer is abnormal.

[0012] Optionally, the method further includes: when the detection result shows that the printer is abnormal, generating a control instruction, wherein the control instruction is used to control the printer to stop running.

[0013] A 3D printer abnormality detection device is also provided, which is applied to the 3D printer abnormality detection method, comprising: Data acquisition module, used to: Determine the time point corresponding to when the printer is in a stable state as a stable time point; Obtain the heating parameters of the printer at and after the stabilization time point; A power determination module, used to determine a reference output power and a real-time output power according to heating parameters; The abnormality detection module is used to determine a detection result according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

[0014] A 3D printer is also provided, which uses the 3D printer abnormality detection method to perform abnormality detection, including: A print head, used to output printing materials; A heating device for controlling the temperature of the nozzle on the sprinkler; The printing platform is used to receive the printing materials output by the nozzle.

[0015] Optionally, also include: A control device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor to implement the 3D printer abnormality detection method according to any one of claims 1 to 6. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 Flow chart of the anomaly detection method of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present application as detailed in the attached claims. In the description of the present application, it should be understood that the terms "first", "second", "third", etc. are only used to distinguish similar objects, and do not have to be used to describe a specific order or sequence, nor can they be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present application can be understood according to the specific circumstances.

[0019] See also Figure 1 As shown, the present invention provides a 3D printer abnormality detection method, comprising: S1: The time point corresponding to the printer being in a stable state is determined as the stable time point; the printer includes a heating device; the stable state refers to the temperature and output power of the heating device used to heat the nozzle (the output port of the nozzle) of the 3D printer during normal operation, reaching and maintaining a relatively constant level, at which time the average output power of the heating device tends to be stable and no longer fluctuates significantly. The stable state usually occurs after the heating device heats the nozzle to the set temperature and after a period of adjustment and stabilization. Heating the nozzle by the heating device can ensure that the printing material is smoothly extruded from the nozzle to the printing platform of the printer, so the stable state of the heating device heating the nozzle needs to be used as a benchmark.

[0020] S2: Obtaining the heating parameters of the printer at the stable time point and after the stable time point; the heating parameters include the baseline parameters and real-time parameters of the heating device; that is, obtaining the heating parameters of the printer at the stable time point and after the stable time point, that is, obtaining the heating parameters of the heating device at the stable time point and after the stable time point, including: obtaining the baseline parameters of the heating device at the stable time point and the real-time parameters after the stable time point.

[0021] S3: Determine the reference output power and the real-time output power according to the heating parameters; the heating parameters include the proportion of the heating device being turned on, that is, the duty cycle of the heating device when heating the nozzle, that is, the reference parameters include the duty cycle of the heating device at the stable time point, and the real-time parameters include the duty cycle of the heating device after the stable time point; the output power is calculated according to the duty cycle of the heating device, that is, the reference output power is determined according to the reference parameters, and the real-time output power is determined according to the real-time parameters. The calculation formula for calculating the reference output power from the reference parameters (the duty cycle of the heating device at the stable time point) is as follows:

[0022] in, is the reference output power of the heating device at a stable time point, is the reference parameter (the duty cycle of the heating device at a stable time point), is the maximum output power of the heating device.

[0023] The calculation formula for the real-time output power calculated from the real-time parameters (the duty cycle of the heating device after the stabilization time point) is as follows:

[0024] in, is the real-time output power of the heating device after the stabilization time point, is the real-time parameter (the duty cycle of the heating device after the stabilization time point), is the maximum output power of the heating device.

[0025] The above-mentioned reference output power and real-time output power are both output powers per unit time.

[0026] S4: Determine a detection result according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

[0027] According to the reference output power and the real-time output power, the test results are determined, including: Firstly, a power difference is determined according to the reference output power and the real-time output power, where the power difference is the difference between the reference output power and the real-time output power; and then, a detection result is determined according to the power difference.

[0028] Because when the nozzle of the 3D printer is wrapped by the printing material, that is, when there is an abnormality in the 3D printer, the nozzle will be wrapped inside the printing material, so the nozzle cannot directly contact the air and produce a thermal insulation effect. This thermal insulation effect will reduce the temperature fluctuation frequency of the nozzle, thereby changing the heating device to achieve heating to maintain the nozzle temperature, that is, changing the duty cycle (heating parameter) of the heating device per unit time. Therefore, the output power will change when the nozzle is wrapped inside the printing material. This change reduces the real-time output power of the heating device.

[0029] When the power difference is less than the power threshold, it indicates that the real-time output power fluctuation of the heating device is within the normal range and no obvious abnormal changes occur. This is because the nozzle is not wrapped by the printing material, the heating device can work normally, and the real-time output power fluctuation is in line with expectations, that is, it meets the preset power threshold. Specifically, the nozzle is in direct contact with the air, the heat dissipation effect is good, and the heating device can accurately adjust the duty cycle (heating parameters) according to the set temperature to ensure that the real-time output power is maintained near the reference output power. Therefore, the test result at this time is that the printer is in normal working condition, no further adjustment or intervention measures are required, and the printing process can continue; this test result shows that the heating device and nozzle of the 3D printer are working properly, and the printing material can be smoothly extruded and attached to the printing platform of the printer, that is, the printing material does not wrap around the nozzle.

[0030] When the power difference is greater than or equal to the power threshold, it indicates that the real-time output power of the heating device has changed abnormally. This may be because the nozzle is wrapped by the printing material, which prevents the nozzle from directly contacting the air, forming a thermal insulation effect. This insulation effect will reduce the temperature fluctuation frequency of the nozzle, thereby changing the duty cycle (heating parameters) of the heating device per unit time, reducing the real-time output power.

[0031] At this time, in order to accurately determine whether the printer is really in an abnormal state, rather than a short-term fluctuation or interference, it is necessary to obtain the duration of the power difference, that is, the duration of the power difference being greater than or equal to the power threshold. If the power difference is greater than or equal to the power threshold for a long time, it can be directly considered that the printer is in an abnormal state.

[0032] Therefore, the test results are determined based on the duration, including: When the duration is less than the time threshold, it is considered that only a short fluctuation or interference causes the power difference to be greater than the power threshold, and the detection result at this time is that the printer is normal.

[0033] When the duration is greater than or equal to the time threshold, it can be confirmed that this is an abnormality caused by the nozzle being wrapped. The situation at this time is not an accidental power fluctuation. Through the duration and time threshold, the misjudgment of the abnormal state of the printer can be avoided to ensure the accuracy of the detection result. The detection result at this time is a printer abnormality.

[0034] When the detection result shows that the printer is abnormal, a control instruction is automatically generated to control the printer to stop running and to prompt the user to check whether there are nozzle wrapping or other abnormal problems to prevent further equipment damage or print quality problems.

[0035] The present invention also provides a 3D printer abnormality detection device, which is applied to the above-mentioned 3D printer abnormality detection method, comprising: Data acquisition module, used to: Determine the time point corresponding to when the printer is in a stable state as a stable time point; Obtain the heating parameters of the printer at and after the stabilization time point; A power determination module, used to determine a reference output power and a real-time output power according to heating parameters; The abnormality detection module is used to determine a detection result according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

[0036] A 3D printer is also provided, which uses the 3D printer abnormality detection method to perform abnormality detection, including: A print head, used to output printing materials; A heating device for controlling the temperature of the nozzle on the sprinkler; The printing platform is used to receive the printing materials output by the nozzle.

[0037] A control device comprises a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor to implement the above-mentioned 3D printer abnormality detection method.

[0038] The processor can be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0039] The memory can be used to store the computer program or module, and the processor realizes various functions of the 3D printer abnormality detection method by running or executing the computer program or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0040] The above are only preferred embodiments of the present application and are not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims

1. A 3D printer abnormality detection method, characterized in that: include: Determine the time point corresponding to when the printer is in a stable state as a stable time point; Obtain the heating parameters of the printer at and after the stabilization time point; Determining a reference output power and a real-time output power according to the heating parameters; A detection result is determined according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

2. A 3D printer abnormality detection method according to claim 1, characterized in that: The printer includes a heating device; the heating parameters include a reference parameter and a real-time parameter of the heating device; The obtaining of the heating parameters of the printer at the stable time point and after the stable time point includes: Obtain the baseline parameters of the heating device at the stable time point and the real-time parameters after the stable time point.

3. A 3D printer abnormality detection method according to claim 1, characterized in that: The step of determining a detection result according to the reference output power and the real-time output power includes: Determining a power difference according to the reference output power and the real-time output power; A detection result is determined according to the power difference.

4. A 3D printer abnormality detection method according to claim 1, characterized in that: The step of determining a detection result according to the power difference comprises: When the power difference is less than the power threshold, the detection result is that the printer is normal; When the power difference is greater than or equal to the power threshold, obtaining a duration of the power difference; A detection result is determined according to the duration.

5. A 3D printer abnormality detection method according to claim 4, characterized in that: The determining of the detection result according to the duration includes: When the duration is less than the time threshold, the detection result is that the printer is normal; When the duration is greater than or equal to a time threshold, the detection result is that the printer is abnormal.

6. A 3D printer abnormality detection method according to claim 5, characterized in that: Also includes: When the detection result is that the printer is abnormal, a control instruction is generated, and the control instruction is used to control the printer to stop running.

7. A 3D printer anomaly detection device, applied to a 3D printer anomaly detection method according to claims 1-6, characterized in that: include: Data acquisition module, used to: Determine the time point corresponding to when the printer is in a stable state as a stable time point; Obtain the heating parameters of the printer at and after the stabilization time point; A power determination module, used to determine a reference output power and a real-time output power according to heating parameters; The abnormality detection module is used to determine a detection result according to the reference output power and the real-time output power; the detection result is used to indicate whether the printer is abnormal.

8. A 3D printer, using the 3D printer anomaly detection method according to claims 1 to 6 to perform anomaly detection, characterized in that: include: A print head, used to output printing materials; A heating device for controlling the temperature of the nozzle on the sprinkler; The printing platform is used to receive the printing materials output by the nozzle.

9. A 3D printer according to claim 8, characterized in that: Also includes: A control device, comprising a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, at least one program, a code set or an instruction set is loaded and executed by the processor to implement the 3D printer abnormality detection method according to any one of claims 1 to 6.

Images