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Review article

First published 2021-5

Surface roughness of machined wood and advanced engineering materials and its prediction: A review

Zhao-Wei Zhong

Advances in Mechanical Engineering

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Research article

First published 2025

Prediction of machined surface roughness during the high-speed machining of Zr-based bulk metallic glasses

Junsheng Zhang, Yongsen Shang, Haidong Yang [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2024

Surface roughness prediction in turning processes using CEEMD-based vibration signal denoising and LSTM networks

Andrews Athisayam, Manisekar Kondal

Proceedings of the Institution of Mechanical Engineers,Part E: Journal of Process Mechanical Engineering

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Research article

First published 2025-10

Precision prediction of tooth surface roughness in dry hobbing using limited sample data: An approach with potential for enhancing gear surface quality

Xiao Yang, Zhili Zhang, Benjie Li [...]

Proceedings of the Institution of Mechanical Engineers,Part C: Journal of Mechanical Engineering Science

Open access

Research article

First published 2024-1

Prediction of surface roughness and optimization of process parameters for efficient cutting of aluminum alloy

Zhou Yuanzhi, Zhang Guozheng

Advances in Mechanical Engineering

Free access

Research article

First published 2021-5

Prediction models for specific energy consumption of machine tools and surface roughness based on cutting parameters and tool wear

Yu Su, Congbo Li, Guoyong Zhao [...]

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

Free access

Research article

First published 2008-7

Modelling and predicting surface roughness in turning operations using hybrid differential evolution and the group method of data handling networks

G C Onwubolu

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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Research article

First published 2023-10

Development of ultra-low cycle fatigue life prediction model for structural steel considering the effects of surface roughness,loading frequency,and loading amplitude

Aleena Saleem, Hiroshi Tamura, Hiroshi Katsuchi

Advances in Structural Engineering

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Research article

First published 2012-8

Prediction of cutting forces and surface roughness using artificial neural network (ANN) and support vector regression (SVR) in turning 4140 steel

İ Asilturk, H Kahramanli, H El Mounayri

Materials Science and Technology

Free access

Research article

First published 2005-11

A new surface roughness prediction model for ceramic grinding

S Agarwal, P Venkateswara Rao

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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