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Cited article:

An ANFIS model for predicting workpiece deformation during the milling of thin-walled composite components

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Journal of Elastomers & Plastics 58 (1) 26 (2026)
https://doi.org/10.1177/00952443251378998

Adaptive Control Strategy for High-Speed Milling of Thin-Walled Components

Zhiwei Wang, Jian Sun and Qingdong Sun
ASME Open Journal of Engineering 5 (2026)
https://doi.org/10.1115/1.4070743

Optimizing machining parameters for thin-walls integrity in Al 6061-T6

Naseem Ahmed, Muhammad Wasif and Syed Amir Iqbal
International Journal on Interactive Design and Manufacturing (IJIDeM) (2026)
https://doi.org/10.1007/s12008-026-02605-6

Sol–gel and co-precipitation synthesized hybrid nanofluids for enhanced CNC turning of AISI 4340 steel: an experimental and machine learning approach

Dame Alemayehu Efa, Dejene Alemayehu Ifa, Naol Dessalegn Dejene, Habtamu Zewude Belachew and Dereje Fedasa Tegegn
Scientific Reports 15 (1) (2025)
https://doi.org/10.1038/s41598-025-25102-4

Machining-induced geometric errors in thin-walled parts—a review of mitigation strategies and development of application guidelines

Umer Draz and Salman Hussain
The International Journal of Advanced Manufacturing Technology 136 (10) 4175 (2025)
https://doi.org/10.1007/s00170-024-14917-6

A novel hybrid approach GREG-fuzzy-GA for minimizing work piece temperature during 2.5D milling of Inconel625 super alloy

Satish Kumar, Arun Gupta, Anish Kumar, Pankaj Chandna and Gian Bhushan
World Journal of Engineering 21 (3) 535 (2024)
https://doi.org/10.1108/WJE-07-2022-0273

Minimization of work piece temperature under the constraints of SR and MRR during 2.5 D milling process of Inconel 625 using GEMG-fuzzy and GA

Satish Kumar, Pankaj Chandna and Gian Bhushan
Multiscale and Multidisciplinary Modeling, Experiments and Design 5 (2) 167 (2022)
https://doi.org/10.1007/s41939-021-00110-9