Preventing Mold Damage Through AI-Based Smart Manufacturing in Injection Molding

Authors: Dhrudipsinh Dabhi

DOI: https://doi.org/10.5281/zenodo.14123499

Short DOI: https://doi.org/g8qtvg

Country: USA

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Abstract: In the plastic injection molding industry, ensuring the precise placement of metal inserts during the over-molding process is critical to avoiding damage to molds and maintaining product quality. This paper details my experience in implementing a smart manufacturing system at our facility in North Carolina, USA, using AI and machine vision to detect metal insert misalignment. The system prevents the molding press from closing unless all four metal inserts are properly positioned, eliminating the risk of damage. This AI-based solution, which I integrated into our operations in April 2018, solved a significant problem that had previously posed financial, reputational, and supply chain risks. The system’s impact on operational efficiency, cost savings, and maintaining customer satisfaction is explored in detail, with a focus on the practical implementation and results.

Keywords: Injection molding, AI-based manufacturing, smart manufacturing, machine vision systems, mold damage prevention, metal insert misalignment, manufacturing automation, cost reduction, operational efficiency

Paper Id: 231542

Published On: 2018-10-10

Published In: Volume 6, Issue 5, September-October 2018

Cite This: Preventing Mold Damage Through AI-Based Smart Manufacturing in Injection Molding - Dhrudipsinh Dabhi - IJIRMPS Volume 6, Issue 5, September-October 2018. DOI 10.5281/zenodo.14123499

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