AI Article Synopsis
- Injection molding is a complex and sensitive process where external factors can affect product quality, especially when producing thin-walled parts that require high-speed methods.* -
- The study utilized a hot runner mold equipped with sensors to gather data on various pressure and force metrics, aiming to optimize process parameters like injection speed and clamping force.* -
- Results from implementing the optimized parameters showed significant stabilization in product weight variation, achieving a standard deviation of only 0.677% and 0.0178 grams.*
Article Abstract
Injection molding is a highly nonlinear procedure that is easily influenced by various external factors, thereby affecting the stability of the product's quality. High-speed injection molding is required for production due to the rapid cooling characteristics of thin-walled parts, leading to increased manufacturing complexity. Consequently, establishing appropriate process parameters for maintaining quality stability in long-term production is challenging. This study selected a hot runner mold with a thin wall fitted with two external sensors, a nozzle pressure sensor and a tie-bar strain gauge, to collect data regarding the nozzle peak pressure, the timing of peak pressure, the viscosity index, and the clamping force difference value. The product weight was defined as the quality indicator, and a standardized parameter optimization process was constructed, including injection speed, / switchover point, packing, and clamping force. Finally, the optimized process parameters were applied to the adaptive process control experiments using the developed control system operated within the micro-controller unit (MCU). The results revealed that the control system effectively stabilized the product weight variation and standard deviation of 0.677% and 0.0178 g, respectively.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11053825 | PMC |
| http://dx.doi.org/10.3390/polym16081057 | DOI Listing |
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