Papers
1
Total Citations
4
H-Index
1
About
Zhulin Zhang is a researcher in mechanical engineering and industrial automation, with a primary focus on high-speed press line systems and robotic feeding mechanisms for the automotive manufacturing sector. Zhang’s most notable contribution is the development of a kinematic simulation system for automated feeding robots, which generates real-time kinematic curves to prevent mechanical interference and optimize production efficiency. This work, published in 2018 and cited four times, addresses the intense competitive pressures in the automobile industry by enabling continuous, high-efficiency automated feeding processes. By simulating robot motion in high-speed press lines, Zhang’s research helps manufacturers reduce downtime, improve precision, and accelerate production cycles. While early in its citation impact, this contribution represents a practical engineering solution that supports the broader push toward smart manufacturing and Industry 4.0. Zhang’s work is particularly relevant for researchers and engineers seeking to enhance the reliability and performance of automated systems in heavy industrial settings.
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Top Papers
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