Papers
3
Total Citations
13
H-Index
2
About
Sun Jin is a precision engineering researcher whose work focuses on enhancing the machining accuracy of high-end CNC machine tools. Her primary research areas include kinematic error modeling, error equivalence analysis, and precision assembly optimization for linear axes. Jin’s most significant contribution is the development of a novel error equivalence model that quantifies the relationship between kinematic errors in linear axes—a critical factor limiting the precision of advanced machine tools. This work, published in 2021 and garnering 7 citations, addresses an urgent challenge in assembly processes by providing a systematic framework for error prediction and compensation. In her 2024 study, Jin further advanced the field by analyzing deterministic clamping and positioning errors in ring-shaped workpieces, incorporating alignment uncertainty to improve manufacturing reliability. With a growing citation record, her research bridges theoretical error modeling and practical machining applications, offering valuable insights for both academic researchers and industry engineers striving to push the boundaries of ultra-precision manufacturing.
Research Focus
Key Achievements
Top Papers
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