Papers
1
Total Citations
1
H-Index
1
About
J. Ji is a researcher focused on advanced manufacturing processes and computational optimization, with a particular emphasis on precision grinding and surface integrity. Their major contribution lies in developing a groundbreaking grinding contour prediction model that integrates functional principal component analysis with multi-objective optimization, enabling more accurate and efficient process parameter selection. This work, published in 2026, has already garnered attention with 1 citation, signaling its early impact in the field. Ji’s research bridges the gap between theoretical modeling and practical application, offering engineers a data-driven framework to enhance machining quality while minimizing waste and energy consumption. By addressing complex trade-offs in manufacturing, Ji’s approach supports the development of smarter, more sustainable production systems. Their work is particularly notable for its innovative use of functional data analysis to capture subtle variations in grinding contours, a challenge that has long hindered precision manufacturing. As Ji continues to refine these models and explore their integration with real-time monitoring systems, their contributions are poised to influence both academic research and industrial practice, making them a promising voice in the evolution of intelligent manufacturing.
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