[SIS12] Carbon Neutrality (CN) in PM

[16E-SIS12-06] Foundations and Innovations in Sintering Automation Control: Multidimensional Capacity Optimization and Visual Positioning Strategies

*Y. Wang^{1, 2}, H.-H. Hsiao^{1, 2}, J.-F. Dang¹, K.-J. Wang¹ (1.National Taiwan University of Science and Technology, Taiwan, 2.Auroral Sinter Metals Co, Ltd., Taiwan)

キーワード：Powder Metallurgy, Multidimensional Knapsack Problem, Visual Positioning Strategy, Automation Control, Intelligent Manufacturing

The powder metallurgy (PM) manufacturing excels in cost-effectiveness and the production of intricate components. However, the sintering process poses a significant challenge due to non-standardized component positioning, a crucial consideration for the development of sintering automation in the PM manufacturing. This research establishes a framework for sintering automation control, with a focus on optimizing product positioning within limited space for improved sintering results. The study addresses the Multidimensional Knapsack Problem (MKP) encountered during the pre-sintering positioning operation (as shown in Figure 1). The considerations include carriers and various constraints, such as material properties, process requirements, quality standards, and equipment limitations. The research formulates a visual positioning strategy customized for pre-sintering operations, facilitating strategic decision-making in product placement. These patterns and coordinates also lay the foundation for machine vision-assisted robotic arms, contributing to Intelligent Manufacturing. The findings provide practical solutions for sustainable development and automation in PM manufacturing, highlighting the substantial role of the system in advancing and effectively addressing real-world production challenges.