AI Article Synopsis

  • * Key process parameters like switchover point, injection speed, packing pressure, and clamping force are optimized based on pressure profile characteristics to enhance production consistency.
  • * The effectiveness of the optimization and adaptive control system was tested with three materials of different viscosities, resulting in significantly reduced variations in product weight, proving the system's reliability.

Article Abstract

The injection-molding process is a non-linear process, and the product quality and long-term production stability are affected by several factors. To stabilize the product quality effected by these factors, this research establishes a standard process parameter setup procedure and an adaptive process control system based on the data collected by a nozzle pressure sensor and a tie-bar strain gauge to achieve this goal. In this research, process parameters such as the switchover point, injection speed, packing pressure, and clamping force are sequentially optimized based on the characteristics of the pressure profile. After the optimization process, this research defines the standard quality characteristics through the optimized process parameters and combines it with the adaptive process control system in order to achieve the purpose of automatic adjustment of the machine and maintain high-quality production. Finally, three different viscosity materials are used to verify the effectiveness of the optimization procedure and the adaptive process control system. With the system, the variation of product weight was reduced to 0.106%, 0.092%, and 0.079%, respectively.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921389PMC
http://dx.doi.org/10.3390/polym15030610DOI Listing

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