Traditional methods, which rely heavily on operator. This study aimed to optimize the injection molding process parameters to reduce energy consumption while maintaining product quality using a design of experiment (doe) approach. To realize the automation of parameter optimization tuning in injection molding process, this thesis proposes different methods to optimize parameter settings corresponding to different process.
These optimization techniques include design of experiments, artificial neural networks, and evolutionary algorithms. Optimization of injection molding process parameters is essential for improving product quality and production efficiency. The plastic injection molding process is essential for rapidly producing intricate plastic parts, yet optimizing its energy efficiency without comprom…
The strengths and weaknesses of each approach were discussed. Recent social, healthcare, and geopolitical events have caused major disruptions to global supply chains, leading to significant negative consequences… Researchers have investigated various parameters affecting energy consumption in injection molding to optimize the process and reduce energy use.