Strategy and computational examination of surface grinding machine with predictive diagnostic performance system during operation-Reference-Cited by-同舟云学术

Strategy and computational examination of surface grinding machine with predictive diagnostic performance system during operation

Published:2024-06-13 Issue:7-8 Volume:133 Page:3209-3224
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Chan Tzu-Chi^ORCID,Ullah Aman^ORCID,Dutta Arindam

Funder

National Science Council

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00170-024-13987-w.pdf

Reference67 articles.

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3. Ghan H, Ambekar S (2014) Optimization of cutting parameter for surface roughness, material removal rate and machining time of aluminium LM-26 alloy. Int J Eng Sci Innovative Technol 3(2):294–298

4. Bakhtiaryfard L, Chen YS (2015) Design and analysis of a thermoelectric module to improve the operational life. Adv Mech Eng 7(1):152419. https://doi.org/10.1155/2014/152419

5. Colwell L, Sinnott M, Tobin J (1955) The determination of residual stresses in hardened, ground steel. Trans Am Soc Mech Eng 77:1099–1104. https://doi.org/10.1115/1.4014606

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