Xinliang Wang
Papers
1
Total Citations
5
H-Index
1
About
Xinliang Wang is a researcher in intelligent manufacturing and mechanical design, with a focus on precision molding technologies. His work centers on the structural optimization and motion simulation of injection molding machine components, particularly the mould clamping mechanism—a critical element in producing high-precision parts for industries ranging from automotive to consumer electronics. Wang’s most-cited paper, “Microstructure of injection moulding machine mould clamping mechanism: design and motion simulation” (2017, 5 citations), addresses the integration of smart design principles into traditional manufacturing processes, offering insights into how complex structures can be reliably produced through advanced simulation. This contribution reflects a broader commitment to bridging mechanical engineering with emerging intelligent systems, enhancing both efficiency and accuracy in production. While his citation count is modest, Wang’s work is foundational for researchers exploring the intersection of mechanical design and automation, and his focus on practical simulation tools supports the ongoing evolution of smart factories. His research underscores the importance of precise mechanical systems in enabling the next generation of manufacturing technologies.
Research Focus
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Top Papers
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