Rajeeve Mohan, Santhu Varghese Thomas, Rahul Krishnan, Johan George Cherian, Navish Kumar, Amal R, Manikandan Hareendran | International Journal of Structural Mechanics and Finite Elements | Vol 10, Issue 02 | pp. 1-11 | ISSN: 2582-5054
Abstract
Abstract
This review examines advancements in surface error compensation methods for machining thin-walled components, drawing from research published between 2000 and 2025 in high-impact journals. Thin-walled components, commonly used in aerospace, automotive, and electronics, present unique challenges in machining due to their susceptibility to deflection, chatter, and thermal deformation, often resulting in significant surface errors. The objective of this review is to assess how compensation techniques have evolved to address these challenges, focusing on methods that improve machining accuracy, surface quality, and efficiency. The review categorizes compensation strategies into three primary types: model-based, in-process, and hybrid approaches. Model-based methods, such as finite element analysis (FEA) and machining dynamics models, predict potential errors and adjust cutting paths or parameters pre-emptively. In-process methods leverage real-time data from sensors to dynamically modify tool paths, improving adaptability. Hybrid approaches combine predictive models with real-time adaptive control, often integrating machine learning to enhance predictive accuracy and responsiveness. Findings indicate a shift toward hybrid and AI-driven solutions in recent years, with machine learning models increasingly supporting dynamic error compensation. These advancements are making compensation systems faster, more adaptable, and effective, enhancing precision in manufacturing processes. Future trends suggest further integration of smart machining technologies, particularly with Industry 4.0 frameworks, which promise even greater adaptability and cost-efficiency for thin-walled component machining.
Keywords[CD1] :Efficiency, Surface error compensation, Deflection, Thermal deformation, Surface quality
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How to cite this article
@article{MohanR2024,
author = {Rajeeve Mohan and Santhu Varghese Thomas and Rahul Krishnan and Johan George Cherian and Navish Kumar and Amal R and Manikandan Hareendran},
title = {A Review on Surface Error Compensation in Thin-Walled Component Machining},
journal = {International Journal of Structural Mechanics and Finite Elements},
year = {2024},
volume = {10},
number = {02},
pages = {1--11},
issn = {2582-5054},
url = {https://journalspub.com/publication/uncategorized/article=16064}
}