Papers
3
Total Citations
35
H-Index
3
About
Deling Cai is a leading researcher in advanced manufacturing, specializing in robotic belt grinding and intelligent process optimization for complex components. Their work addresses the critical challenge of transitioning from traditional manual grinding to high-performance robotic systems, particularly for intricate geometries like turbine blades. Cai’s major contributions include developing predictive models that accurately characterize material removal during robotic grinding, enabling precise control over surface quality and dimensional accuracy. Their 2023 paper on this topic has garnered 18 citations, reflecting its influence in the field. More recently, Cai pioneered a multi-algorithm fusion–based intelligent decision-making method for optimizing grinding process parameters, published in 2024 and already cited 14 times. This work integrates digital processing and machine learning to automate parameter selection, significantly enhancing efficiency and consistency. By bridging the gap between digital simulation and real-world manufacturing, Cai’s research is driving the next generation of automated, high-precision grinding systems, with clear implications for aerospace and energy industries. Their innovative approach positions them as a key contributor to the future of smart manufacturing.
Research Focus
Key Achievements
Top Papers
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