Top out of the self-learning process
Through the ejection self-learning process, the system assists in adjusting the position of the ejection rod, solving the inefficiency problem of manually adjusting the ejection rod parameters in traditional injection molding machines, and achieving efficient ejection rod position adjustment and intelligent management.
Patent Information
- Application Number
- CN202310056976.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2023-01-16
- Publication Date
- 2025-08-26
- Estimated Expiration
- 2043-01-16
AI Technical Summary
When the mold changes, traditional all-electric injection molding machines need to rely on manual experience to adjust the rod parameters, which is inefficient and difficult to achieve intelligent management.
The ejection self-learning process is adopted, and the ejection position of the ejection rod is adjusted through the system assistance, including setting and comparing the actual ejection value with the preset value, and automatically recording and uploading the adjustment parameters.
It improves the efficiency and operation simplicity of the pin position adjustment, and promotes the development of injection molding machines to intelligent and unmanned management.
Smart Images

Figure CN116353006B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of ejection position adjustment of an ejector pin of an injection molding machine, and in particular to an ejection self-learning process. Background Art
[0002] In the discrete manufacturing sector, injection molding machines, as machine tools for processing plastics, hold a crucial position in the national economy. The quality of injection-molded plastics is closely related to the injection flow rate of the molten plastic. Injection molding technology converts thermoplastic and thermoset materials into plastic products. Injection molding machines are specialized machines for processing plastic parts and other plastics industries, producing nearly 70% of plastic parts. They have become essential equipment in high-tech fields such as aerospace, national defense, electronics, optoelectronics, and communications, providing crucial support for high-end manufacturing industries focused on new energy, new materials, energy conservation, and environmental protection.
[0003] The working principle of a fully electric injection molding machine is similar to that of a syringe. It uses the thrust of a screw (or plunger) to inject plasticized, molten (i.e., viscous) plastic into a closed mold cavity, where it solidifies and sets the final shape. Demolding requires the use of a push rod to push the mold. Traditional fully electric injection molding machines mostly adjust the push rod's thrust based on experience. Once the mold changes, the system's internal control parameters must be modified and adjusted based on the new conditions. This relies heavily on the experience and knowledge of on-site workers, is time-consuming, labor-intensive, and inefficient, limiting the development of injection molding machines towards intelligent, unmanned management. Summary of the Invention
[0004] The technical problem to be solved by the present invention is to provide a simple-to-operate self-learning process for ejection in response to the problems existing in the prior art.
[0005] The technical solution adopted by the present invention to solve the above technical problems is:
[0006] The self-learning process includes the following steps:
[0007] 1) Manually install the mold of the injection molding machine;
[0008] 2) Manually set the working mode of the injection molding machine to the mold adjustment mode, and manually set the ejector parameters, which include the speed and ejection value of the ejector in the first and second stages;
[0009] 3) Press the ejection button to make the ejector rod move forward at the speed and ejection value set for a certain period of time;
[0010] 4) The system reads the first actual jacking value of the jacking rod and compares it with the manually set jacking value of the jacking section. When the first actual jacking value is greater than or less than the manually set jacking value of the jacking section, the system prompts that the jacking section position cannot be reached and returns to step 2). When the first actual jacking value is equal to the manually set jacking value of the jacking section, it proceeds to step 5).
[0011] 5) The ejector continues to move forward according to the speed and ejection value set in the second stage to complete the ejection;
[0012] 6) The system reads the second actual thrust value of the ejector and compares it with the maximum thrust value preset in the system. When the second actual thrust value is greater than or equal to the maximum thrust value preset in the system, the system prompts that the ejector has exceeded the maximum stroke and returns to step 2). When the second actual thrust value is less than the maximum thrust value preset in the system, the system proceeds to step 7).
[0013] 7) The system records the second actual jacking value and uses it as the upper limit of the jacking value of the second jacking section;
[0014] 8) The system uploads the first actual jacking value and the second actual jacking value;
[0015] 9) The self-learning process ends.
[0016] Preferably, in step 2), the push rod parameters also include a fixed mode of the push rod, whether to use a ready position of the push rod, parameters of the ready position of the push rod, whether to select detection of whether the push rod has returned to the origin, and a parameter range for detecting whether the push rod has returned to the origin.
[0017] Preferably, the fixing mode of the push rod includes a normal mode and a reverse pull mode.
[0018] Preferably, the step 9) further includes the self-learning status indicator light displaying green.
[0019] Preferably, the step 2) further includes resetting the electronic ruler to zero.
[0020] Preferably, in step 4), when the first actual jacking value is greater than or less than the manually set jacking value of one section, the system prompts that the jacking position cannot be reached and returns to step 2), the position of the jacking rod remains unchanged.
[0021] Compared with the prior art, the present invention has the following beneficial effects:
[0022] The ejection self-learning process of the present invention can semi-automatically assist the user in adjusting the ejection position of the ejector pin through the system, is easy to operate, and can improve production efficiency. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] Figure 1 The figure is a flow chart of the self-learning process of the present invention. Implementation Method
[0024] The present invention will be described in further detail below with reference to the accompanying drawings and embodiments.
[0025] like Figure 1 As shown in the figure, the self-learning process includes the following steps:
[0026] 1) Manually install the mold of the injection molding machine;
[0027] 2) Manually set the working mode of the injection molding machine to mold adjustment mode, and manually set the ejector parameters, including the ejector speed and ejection value in the first and second ejection stages, the ejector fixed mode, whether to use the ejector preparation position, the ejector preparation position parameters, whether to select the detection of whether the ejector has returned to the origin, and the parameter range for detecting whether the ejector has returned to the origin. The ejector fixed mode includes normal mode and reverse pull mode; reset the electronic ruler to zero;
[0028] 3) Press the ejection button to make the ejector rod move forward at the speed and ejection value set for a certain period of time;
[0029] 4) The system reads the first actual jacking value of the jacking rod and compares it with the manually set jacking value of the jacking section. When the first actual jacking value is greater than or less than the manually set jacking value of the jacking section, the system prompts that the jacking section position cannot be reached, the system issues an alarm, the position of the jacking rod remains unchanged, and the system returns to step 2). When the first actual jacking value is equal to the manually set jacking value of the jacking section, the system proceeds to step 5).
[0030] 5) The ejector continues to move forward according to the speed and ejection value set in the second stage to complete the ejection;
[0031] 6) The system reads the second actual thrust value of the ejector and compares it with the maximum thrust value preset in the system. When the second actual thrust value is greater than or equal to the maximum thrust value preset in the system, the system prompts that the ejector has exceeded the maximum stroke and returns to step 2). When the second actual thrust value is less than the maximum thrust value preset in the system, the system proceeds to step 7).
[0032] 7) The system records the second actual jacking value and uses it as the upper limit of the jacking value of the second jacking section;
[0033] 8) The system uploads the first actual jacking value and the second actual jacking value;
[0034] 9) The self-learning status indicator light turns green, and the self-learning process is completed.
[0035] During self-learning of ejection, in step 4), when the first actual ejection value is greater than the manually set ejection value of the first ejection stage and the process returns to step 2), it indicates that the zero point of the electronic ruler is inaccurate, and the first actual ejection value can be made equal to the manually set ejection value of the first ejection stage by resetting the electronic ruler to zero; when the first actual ejection value is less than the manually set ejection value of the first ejection stage and the process returns to step 2), it indicates that the manually set ejection value of the first ejection stage is too large, and the first actual ejection value can be made equal to the manually set ejection value of the first ejection stage by reducing the manually set ejection value of the first ejection stage; in step 6), when the system prompts that the ejector rod has exceeded the maximum stroke and the process returns to step 2), the second actual ejection value can be made less than the maximum ejection value preset in the system by reducing the manually set ejection value of the second ejection stage.
[0036] The ejection self-learning process of the present invention can semi-automatically assist the user in adjusting the ejection position of the ejector pin through the system, is easy to operate, and can improve production efficiency.
[0037] Finally, it should be noted that the above embodiments only illustrate the technical solutions of the present invention and do not limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.
Claims
1. The self-learning process is characterized by: The steps include: 1) Manually install the mold of the injection molding machine; 2) Manually set the working mode of the injection molding machine to the mold adjustment mode, and manually set the ejector parameters, which include the speed and ejection value of the ejector in the first and second stages; 3) Press the ejection button to make the ejector rod move forward at the speed and ejection value set for a certain period of time; 4) The system reads the first actual jacking value of the jacking rod and compares it with the manually set jacking value of the jacking section. When the first actual jacking value is greater than or less than the manually set jacking value of the jacking section, the system prompts that the jacking section position cannot be reached and returns to step 2). When the first actual jacking value is equal to the manually set jacking value of the jacking section, it proceeds to step 5). 5) The ejector continues to move forward according to the speed and ejection value set in the second stage to complete the ejection; 6) The system reads the second actual thrust value of the ejector and compares it with the maximum thrust value preset in the system. When the second actual thrust value is greater than or equal to the maximum thrust value preset in the system, the system prompts that the ejector has exceeded the maximum stroke and returns to step 2). When the second actual thrust value is less than the maximum thrust value preset in the system, the system proceeds to step 7). 7) The system records the second actual jacking value and uses it as the upper limit of the jacking value of the second jacking section; 8) The system uploads the first actual jacking value and the second actual jacking value; 9) The self-learning process ends.
2. The ejection self-learning process according to claim 1, characterized in that: In step 2), the push rod parameters also include a fixed mode of the push rod, whether to use a ready position of the push rod, parameters of the ready position of the push rod, whether to select detection of whether the push rod has returned to the origin, and a parameter range for detecting whether the push rod has returned to the origin.
3. The ejection self-learning process according to claim 2, characterized in that: The fixing modes of the ejector pin include a normal mode and a reverse pull mode.
4. The ejection self-learning process according to claim 1, characterized in that: The step 9) further includes the self-learning status indicator light showing green.
5. The ejection self-learning process according to claim 1, characterized in that: The step 2) further includes returning the electronic ruler to zero.
6. The ejection self-learning process according to claim 1, characterized in that: In step 4), when the first actual jacking value is greater than or less than the manually set jacking value of one section, the system prompts that the jacking position of one section cannot be reached and returns to step 2), and the position of the jacking rod remains unchanged.
Citation Information
Patent Citations
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