Clamping force is a crucial parameter in injection molding. Improper clamping force setting can result in poor product quality and shorter machine lifespan. The objective of this study was to establish an eigenvalue‐injection clamping force peak value by real‐time clamping force measurement with strain gage sensor for prediction, adjustment, and control of injection product quality. In this study, computer‐aided engineering (CAE) structural analysis technique was used to analyze and verify the points of measurement of the sensor. Next, the molded product was conducted using the following injection molding parameters: V/P switchover point, clamping force, injection speed, melt temperature, mold temperature, packing pressure, and packing time. The relationship between injection clamping force peak value and product quality were examined. The results showed that CAE analysis could successfully predict and provide suitable points for sensor measurement. Comparison of analysis and experiment results revealed that injection clamping force peak value and part weight exhibited identical trends. Finally, the injection clamping force peak value not only could it successfully predict product quality, but also it would achieve the purpose of optimizing and stabilizing the clamping force and part weight.

中文翻译：

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实时夹紧力测量特征值，用于预测，调整和控制注射产品质量

夹紧力是注塑成型中的关键参数。夹紧力设置不当会导致产品质量下降和机器寿命缩短。这项研究的目的是通过使用应变片传感器实时夹紧力测量来建立特征值-注射夹紧力峰值，以预测，调整和控制注射产品质量。在这项研究中，计算机辅助工程（CAE）结构分析技术用于分析和验证传感器的测量点。接着，使用以下注射成型参数进行成型品的成型：V / P转换点，合模力，注射速度，熔融温度，模具温度，保压压力和保压时间。检查了注射夹紧力峰值与产品质量之间的关系。结果表明，CAE分析可以成功预测并提供适合传感器测量的点。分析和实验结果的比较表明，注射夹紧力峰值和零件重量表现出相同的趋势。最终，注射夹紧力峰值不仅可以成功预测产品质量，而且可以达到优化和稳定夹紧力和零件重量的目的。