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Research Article

Application of statistical and soft computational techniques in machining of Nickel based supper-alloy using cryogenically treated tools for estimation of surface roughness

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Pages 1604-1623 | Received 05 Jan 2021, Accepted 22 Dec 2021, Published online: 30 Jan 2022

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Prashant K. Ambadekar, Sarita Ambadekar, C. M. Choudhari, Satish A. Patil & S.H. Gawande. (2023) Artificial intelligence and its relevance in mechanical engineering from Industry 4.0 perspective. Australian Journal of Mechanical Engineering 0:0, pages 1-21.
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Yogesh V. Deshpande, Dinesh R. Zanwar, A. B. Andhare & P. S. Barve. (2023) Application of ANN modelling for optimisation of surface quality and kerf taper angle in abrasive water jet machining of AISI 1018 steel. Advances in Materials and Processing Technologies 9:3, pages 728-741.
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Yogesh V. Deshpande, Srushti Raut, T. A. Madankar & Atul Andhare. (2023) Influence of biodegradable coolants on machinability improvement – a review. Advances in Materials and Processing Technologies 0:0, pages 1-36.
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S. O. Sada, O. J. Eyenubo, E. Atikpo & C. L. Enyi. (2022) Evaluation of neural network parameters in the prediction of AISI 1050 steel machining performance. Advances in Materials and Processing Technologies 0:0, pages 1-12.
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Articles from other publishers (2)

Yogesh V. Deshpande, Siddhant Binani, Anjali Singh, Mrunal Mohatkar, A. S. Chatpalliwar & P. S. Barve. (2023) Enhancing the machinability of Inconel 625 milling using cryogen and blend of biodegradable oils and application of advanced algorithms. Journal of the Brazilian Society of Mechanical Sciences and Engineering 45:11.
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Jatinder Singh, Kapil Kumar Goyal, Rakesh Kumar & Vishal Gupta. (2022) Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts. Polymer Composites 43:8, pages 5623-5639.
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