Prediction of cutting parameters and reduction of output parameters using machine learning in milling of Inconel 718 alloy. [PDF]
Sci RepHamıd MWH, Özlü B, Ulaş HB, Demir H.
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A Multi-Objective optimization framework for the sustainable machining of Monel 400. [PDF]
Sci RepSen B +7 more
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Lubrication state identification of vibration time-frequency characteristics based on CWT and CNN. [PDF]
Sci RepYu H, Wei H.
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Proactive fault prediction in marine diesel engines using multivariate machine learning. [PDF]
Sci RepMichel M +3 more
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Sol-gel and co-precipitation synthesized hybrid nanofluids for enhanced CNC turning of AISI 4340 steel: an experimental and machine learning approach. [PDF]
Sci RepEfa DA +4 more
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CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]
Sci RepKhetre S, Bongale A, Kumar S.
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Technoeconomic and environmental analysis of cryogenic and MQL-assisted machining of Hastelloy X. [PDF]
Sci RepSen B +8 more
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Analytical and Experimental Research of Lubrication Load-Bearing Characteristics of Microtextured Meshing Interface. [PDF]
Materials (Basel)Wang X, Ruan J, Wang Y, Zou W.
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Application of Minimum Quantity Lubrication in Grinding
Materials and Manufacturing Processes, 2012Fluid delivery in grinding process remains an important matter requiring further research. The growing demand and the rising cost of cutting fluid usage and the environmental aspect of fluid disposal are a key driver for research into alternative fluid delivery techniques.
André Batako
exaly +2 more sources