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<p>Silicone rubber molds (SRMs) offer cost and time efficiency in the early stages of new product development. However, the conventional cutting of SRMs largely depends on manual expertise, making it challenging to determine parting lines, particularly for components with complex geometries. To overcome this limitation, this study proposes an advanced method for optimizing SRM cutting while minimizing the number of silicone blocks required. The proposed approach integrates digital parting line data obtained from computer-aided design (CAD) software to predefine parting lines before executing the cutting process. Experimental results indicate a substantial reduction in the number of SRM segments, achieving an average reduction ratio of approximately 41%. Furthermore, the success rate of SRM fabrication improves significantly. The findings demonstrate the effectiveness of this streamlined approach in enhancing cutting efficiency through digital parting line information. Moreover, the developed method enhances the success rate of SRM post-processing by enabling precise mold separation, reducing human error, and increasing the overall yield of the silicone molding process. In addition, this study contributes to Sustainable Development Goals (SDGs), particularly Responsible Consumption and Production (SDG 12) and Industry, Innovation, and Infrastructure (SDG 9), by promoting material efficiency and advancing manufacturing technologies.</p>

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A high-efficiency technique for cutting silicone rubber molds using digital parting line data

  • 期刊论文

  • 发表日期：

    2025年4月20日

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  • Chil-Chyuan Kuo,
  • Shu-Xuan Yang,
  • Wan-Rou Shi,
  • Shu-Pin You,
  • Shao-Xuan Qiu,
  • Bo-Wen Yang,
  • Song-Hua Huang,
  • Armaan Farooqui

摘要

Silicone rubber molds (SRMs) offer cost and time efficiency in the early stages of new product development. However, the conventional cutting of SRMs largely depends on manual expertise, making it challenging to determine parting lines, particularly for components with complex geometries. To overcome this limitation, this study proposes an advanced method for optimizing SRM cutting while minimizing the number of silicone blocks required. The proposed approach integrates digital parting line data obtained from computer-aided design (CAD) software to predefine parting lines before executing the cutting process. Experimental results indicate a substantial reduction in the number of SRM segments, achieving an average reduction ratio of approximately 41%. Furthermore, the success rate of SRM fabrication improves significantly. The findings demonstrate the effectiveness of this streamlined approach in enhancing cutting efficiency through digital parting line information. Moreover, the developed method enhances the success rate of SRM post-processing by enabling precise mold separation, reducing human error, and increasing the overall yield of the silicone molding process. In addition, this study contributes to Sustainable Development Goals (SDGs), particularly Responsible Consumption and Production (SDG 12) and Industry, Innovation, and Infrastructure (SDG 9), by promoting material efficiency and advancing manufacturing technologies.