Sustainable optimization of micro-milling machining parameters considering reliability assessment-Reference-Cited by-同舟云学术

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Sustainable optimization of micro-milling machining parameters considering reliability assessment

Published:2024-08-09 Issue: Volume: Page:1-38
ISSN:1539-7734
Container-title:Mechanics Based Design of Structures and Machines
language:en
Short-container-title:Mechanics Based Design of Structures and Machines

Author:

Ding Pengfei¹,Huang Xianzhen²³

Affiliation:

1. Naval Architecture and Ocean Engineering College, Dalian Maritime University, Dalian, PR China

2. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, PR China

3. Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China, Northeastern University, Shenyang, PR China

Funder

National Natural Science Foundation of China

Applied Basic Research Program of Liaoning Province

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15397734.2024.2377257

Reference80 articles.

1. INFO: An efficient optimization algorithm based on weighted mean of vectors

2. Tool wear and remaining useful life prediction in micro-milling along complex tool paths using neural networks

3. Resilience assessment of critical infrastructures using dynamic Bayesian networks and evidence propagation

4. A review on methods of energy performance improvement towards sustainable manufacturing from perspectives of energy monitoring, evaluation, optimization and benchmarking

5. Investigation of machining stability in micro milling considering the parameter uncertainty

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