Digital Twins for Plastic Injection Training

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This publication makes a timely and well-founded contribution to the field of manufacturing education. Its main strength lies in bridging the persistent gap between theoretical instruction and hands-on experience, particularly in a process as complex and parameter-sensitive as plastic injection molding. By leveraging digital twins within the metaverse, the study demonstrates a pragmatic way to deliver experiential learning while eliminating the traditional constraints of cost, safety, and material waste. I find especially valuable the emphasis on real-time parameter interaction and validated in situ data, which reinforces the credibility of the virtual environment as more than a didactic simulation. In an industrial context, this approach also shows clear potential for process optimization and defect diagnosis. Overall, the work aligns convincingly with the needs of Industry 5.0, where human-centered, digital, and sustainable training solutions are increasingly critical.

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