This dissertation investigates process optimization and die design principles for metal forming processes by focusing on two representative manufacturing technologies: high-pressure die casting (HPDC) of Zn alloys and cold forging of large steel faste...
This dissertation investigates process optimization and die design principles for metal forming processes by focusing on two representative manufacturing technologies: high-pressure die casting (HPDC) of Zn alloys and cold forging of large steel fasteners. Although these processes differ in material systems and deformation mechanisms, they share common engineering challenges related to defect control, mechanical performance, and die durability under severe processing conditions. The primary objective of this study is to establish an integrated framework linking process parameters, material behavior, and die response, and to provide practical design guidelines applicable to industrial production. In the HPDC study, the effects of melt temperature (420–440 °C) and melt speed on porosity formation, microstructure, and mechanical properties of a Zn–Al based alloy were systematically examined. The results showed that variations in melt temperature and speed within the investigated range did not significantly influence grain size or tensile and yield strengths. However, porosity exhibited a strong dependence on melt temperature, decreasing with increasing superheat, while increased porosity led to a pronounced reduction in elongation. These findings indicate that ductility degradation in Zn alloy die castings is governed primarily by porosity rather than grain refinement, and that an appropriate process window is required to suppress defect formation while maintaining mechanical performance. In the cold forging study, the die design for manufacturing large-sized flange bolts—traditionally produced by hot forging—was evaluated to enable cold forging as an alternative process for improved energy efficiency and cost reduction. Finite element method (FEM) analysis was employed to assess stress distributions in preform dies with different geometric configurations. The results revealed that conventional upsetting-based die designs were unsuitable due to excessive principal stresses, whereas trimming-based die configurations provided favorable stress states for cold forging. Optimization of the die outer diameter through FEM analysis led to a significant reduction in stress concentration and an extension of die service life, which was successfully validated through application in actual manufacturing. Overall, this study proposes a unified die–process–defect (or stress) optimization approach applicable to both casting and forging processes. The results contribute to manufacturing engineering by extending conventional process-specific optimization toward a generalized framework for improving product quality, process stability, and die durability in metal component production.