Model predicted and actual power values.

<div><p>This study aimed to investigate the impact of a lubricant derived from trimethylolpropane trioleate on power consumption and surface roughness during high-speed drilling of Al-6061, with the goal of developing an environmentally friendly cutting fluid. The study investigated the...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Pramod S. Kathmore (20410298) (author)
مؤلفون آخرون:	Bhanudas D. Bachchhav (20410301) (author), Duran Kaya (20410304) (author), Sachin Salunkhe (18385161) (author), Lenka Cepova (20410307) (author), Ondřej Mizera (20410310) (author), Emad Abouel Nasr (8960795) (author)
منشور في:	2024
الموضوعات:	Sociology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified three different measures taguchi experimental outcomes mean square error machine learning algorithm 89 %), followed predicting cutting power accurately predicting power trimethylolpropane trioleate oil surface roughness using surface quality rather anova analysis reveal speed drilling machinability followed feed rate trimethylolpropane trioleate surface roughness surface quality feed rate speed drilling power consumption including power forecasting power xlink "> study investigated study aimed spindle speed significant influence research introduces ranked accordingly projected values noise ratios lubricant derived innovative method energy consumption additive concentration 98 %). 96 %) 90 %). 51 %) 48 %)
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Model predicted and actual power values.

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