TY - JOUR
T1 - Progress in Integrated Die-Casting Technology for Aluminum Alloys
AU - Miao, Yisheng
AU - Li, Zhongyao
AU - Tian, Ye
AU - Hou, Qinghuai
AU - Wang, Shihao
AU - Wang, Junsheng
N1 - Publisher Copyright:
© American Foundry Society 2025.
PY - 2025
Y1 - 2025
N2 - Abstract: In recent years, lightweight alloys, particularly aluminum alloys, have been widely adopted in the automotive industry, although research on large-scale, integrated, non-heat-treatable die-cast components remain limited. This review focuses on the research progress of non-heat-treatable aluminum alloys used in integrated die-cast components, with an emphasis on the composition design, current applications, and the influence of microstructure on the mechanical properties of Al-Si and Al-Mg alloy systems. It addresses the casting defects commonly encountered during the die-casting process, explores their impact on the mechanical properties, and proposes strategies for process optimization. Furthermore, this review innovatively discusses the latest advancements in die-casting technologies, including X-ray computed tomography (XCT), machine learning, and image processing. Ultimately, the critical challenges, technological advantages, typical applications, and sustainability concepts in the die-casting industry are summarized, and future development trends are explored, with the aim of driving the continued advancement of integrated die-casting technology.
AB - Abstract: In recent years, lightweight alloys, particularly aluminum alloys, have been widely adopted in the automotive industry, although research on large-scale, integrated, non-heat-treatable die-cast components remain limited. This review focuses on the research progress of non-heat-treatable aluminum alloys used in integrated die-cast components, with an emphasis on the composition design, current applications, and the influence of microstructure on the mechanical properties of Al-Si and Al-Mg alloy systems. It addresses the casting defects commonly encountered during the die-casting process, explores their impact on the mechanical properties, and proposes strategies for process optimization. Furthermore, this review innovatively discusses the latest advancements in die-casting technologies, including X-ray computed tomography (XCT), machine learning, and image processing. Ultimately, the critical challenges, technological advantages, typical applications, and sustainability concepts in the die-casting industry are summarized, and future development trends are explored, with the aim of driving the continued advancement of integrated die-casting technology.
KW - integrated die casting
KW - mechanical properties
KW - micropores
KW - non-heat-treatable aluminum alloys
KW - numerical simulation
UR - https://www.scopus.com/pages/publications/105025401949
U2 - 10.1007/s40962-025-01825-y
DO - 10.1007/s40962-025-01825-y
M3 - Article
AN - SCOPUS:105025401949
SN - 1939-5981
JO - International Journal of Metalcasting
JF - International Journal of Metalcasting
ER -