Результаты поиска - Barun Haldar
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Supervised Machine Learning Models for Predicting SS304H Welding Properties Using TIG, Autogenous TIG, and A-TIG
Опубликовано 2025-06-01Полный текстThis investigation explores the application of supervised machine learning regression approaches to predict various responses, including penetration, bead width, bead height, hardness, ultimate tensile strength, and percentage elongation in autogenous TIG-, A-TIG-, and TIG-welded joints of SS304H, w...
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Tribological and Acoustic Performance of Luffa acutangula Fiber and Sal Wood Sawdust Reinforced Epoxy Composites: An Experimental Study
Опубликовано 2025-07-01Полный текстHybrid epoxy composites reinforced with Luffa acutangula fiber (LAF) and Sal wood sawdust (SWD) were examined for their tribological and acoustic properties. A consistent 20 wt% LAF was employed throughout all composites, with the SWD content adjusted to 0%, 5%, 15%, and 25%. The engineered composi...
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Single-Step Drilling Using Novel Modified Drill Bits Under Dry, Water, and Kerosene Conditions and Optimization of Process Parameters via MOGA-ANN and RSM
Опубликовано 2025-06-01Полный текстThe burr removal and finishing of drilled hole walls typically require multiple post-processing steps. This experimental study introduces a novel single-step drilling approach using modified drill bits for simultaneous burr removal and surface finishing in aluminum 6061-T6. The odified-1 drill, equi...
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