Jen‐Yu Wang
Papers
2
Total Citations
8
H-Index
2
About
Jen-Yu Wang has made pioneering contributions to precision manufacturing and quality control, with a focused expertise in automated measurement systems and 3D geometric modeling for industrial applications. Their most cited work, "Achievement of Accurate Robotic Arm-based Bike Frame Quality Check Using 3D Geometry Mathematical Model" (2019, 6 citations), addresses a critical bottleneck in bicycle manufacturing: the reliance on slow, error-prone human inspection. Wang introduced a robotic arm system integrated with a mathematical 3D geometry model, dramatically improving measurement accuracy and enabling computerized data collection—a leap forward from traditional digimatic calipers and handwritten records. This work directly tackles industry pain points like time consumption and low accuracy. Building on this foundation, their 2020 study "Realisation of three‐dimensional geometric model in case of bike frame measurement" (2 citations) further refined the methodology, demonstrating a practical, automated solution that eliminates human measurement errors while streamlining the entire QC process. Wang’s research stands out for its direct industrial applicability, offering manufacturers a scalable path to digitize quality assurance. Though early in citation impact, these papers represent foundational steps toward smart manufacturing in the bicycle industry, showcasing Wang’s ability to translate complex geometric theory into tangible, efficiency-boosting tools.
Research Focus
Key Achievements
Top Papers
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