Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts
Abstract
:1. Introduction
2. Methodology
2.1. Characteristics of the Nozzle Pressure Profile
- Nozzle peak pressure (Ppeak): As the highest point on the nozzle pressure curve, the nozzle peak pressure occurs when the molten material transitions from flow to compression upon filling the mold, forming the peak of the nozzle pressure. This is utilized to optimize the injection speed and V/P switchover point, serving as an online quality index for the adaptive process control system.
- Timing of peak pressure (tpeak): The instant of time when the nozzle peak pressure occurs is used to optimize the injection speed.
- Viscosity index (VI): The integral of pressure over time from the start of injection to the end of cooling is primarily employed as an online quality index for the adaptive process control system and assesses changes in product weight, as shown in Equation (1).
2.2. Clamping Force Difference Value
2.3. Adaptive Process Control System
3. Experiment Setups
3.1. Materials
3.2. Equipment
4. Results and Discussion
4.1. Parameter Optimization Process
4.1.1. Injection Speed Experiments
4.1.2. V/P Switchover Point Experiments
4.1.3. Packing Experiments
4.1.4. Clamping Force Experiments
4.2. Adaptive Process Control Experiments
5. Conclusions
- An appropriate injection speed was defined based on the nozzle peak pressure, timing of the pressure peak, and product weight to reduce production time and ensure the stability of product weight during production.
- Since this study utilized a hot runner mold, the transition from the filling stage to the compression stage could not be observed, so the appropriate V/P switchover point was determined by observing the behavior of the melt through the nozzle peak pressure and product weight.
- The compensation effect of the melt during the packing stage for molded products was not ideal, with the packing pressure settings leading to deformations in the gate area, causing product defects.
- An appropriate clamping force was defined when the clamping force difference value was zero.
- The utilization of an adaptive control system effectively stabilized product weight, reducing weight variations and standard deviation from 0.819% and 0.02 g to 0.677% and 0.0178 g, respectively.
Author Contributions
Funding
Institutional Review Board Statement
Data Availability Statement
Conflicts of Interest
References
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BJM368MO | Unit | Value |
---|---|---|
Melt Flow Index | g/10 min | 70 |
Density | g/cm3 | 0.905 |
Shrinkage | % | 1.2 |
Initial Parameters | |||
---|---|---|---|
Injection pressure (bar) | 1580 | Cooling time (s) | 3 |
Melt temperature (°C) | 230 | V/P switchover point (mm) | 14 |
Mold temperature (°C) | 25 | Packing time (s) | 0 |
Hot runner temperature (°C) | 230 | Clamping force (ton) | 166 |
Optimization Experiment Parameters | |||
Injection speed (mm/s) | 75, 100, 125, 150, 175, 200, 225, 250 | ||
V/P switchover point (mm) | 11, 12, 13, 14, 15, 16, 17, 18, 19 | ||
Packing pressure (bar) | 100, 200, 300, 400, 500 | ||
Packing time (s) | 0.1, 0.2, 0.3, 0.4, 0.5 | ||
Clamping force (ton) | 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120 |
Experimental Parameters | |||
---|---|---|---|
Injection pressure (bar) | 1580 | Cooling time (s) | 3 |
Melt temperature (°C) | 230 | Injection speed (mm/s) | 175 |
Mold temperature (°C) | 25 | V/P switchover point (mm) | 14 |
Hot runner temperature (°C) | 230 | Packing time (s) | 0 |
Clamping force (ton) | 138 |
Weight | Without System (%) | With System (%) |
---|---|---|
Left sample | 0.977 | 0.882 |
Right sample | 0.882 | 0.526 |
Total | 0.819 | 0.677 |
Weight | Without System (g) | With System (g) |
---|---|---|
Left sample | 0.0113 | 0.0112 |
Right sample | 0.0095 | 0.0073 |
Total | 0.02 | 0.0178 |
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Cheng, F.-J.; Chang, C.-H.; Wen, C.-H.; Hwang, S.-J.; Peng, H.-S.; Chu, H.-Y. Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts. Polymers 2024, 16, 1057. https://doi.org/10.3390/polym16081057
Cheng F-J, Chang C-H, Wen C-H, Hwang S-J, Peng H-S, Chu H-Y. Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts. Polymers. 2024; 16(8):1057. https://doi.org/10.3390/polym16081057
Chicago/Turabian StyleCheng, Feng-Jung, Chen-Hsiang Chang, Chien-Hung Wen, Sheng-Jye Hwang, Hsin-Shu Peng, and Hsiao-Yeh Chu. 2024. "Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts" Polymers 16, no. 8: 1057. https://doi.org/10.3390/polym16081057
APA StyleCheng, F. -J., Chang, C. -H., Wen, C. -H., Hwang, S. -J., Peng, H. -S., & Chu, H. -Y. (2024). Out-of-Mold Sensor-Based Process Parameter Optimization and Adaptive Process Quality Control for Hot Runner Thin-Walled Injection-Molded Parts. Polymers, 16(8), 1057. https://doi.org/10.3390/polym16081057