This book presents select proceedings of the 9th International and 30th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2023). It discusses the latest advances in hybrid manufacturing process and technology, composites fabrication, non-traditional and advanced machining processes, energy beam processing, high performance cutting tools, micro and nano machining of glasses and ceramics, concurrent and reverse engineering, modeling of machining processes, intelligent machining, and super finishing technologies, among other areas. The contents of this book are useful for…mehr
This book presents select proceedings of the 9th International and 30th All India Manufacturing Technology, Design and Research Conference (AIMTDR 2023). It discusses the latest advances in hybrid manufacturing process and technology, composites fabrication, non-traditional and advanced machining processes, energy beam processing, high performance cutting tools, micro and nano machining of glasses and ceramics, concurrent and reverse engineering, modeling of machining processes, intelligent machining, and super finishing technologies, among other areas. The contents of this book are useful for researchers and professionals in the various fields of mechanical engineering.
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Inhaltsangabe
Experimental investigation and hybrid metaheuristic optimization using ANN-MOJAYA on corner accuracy during WEDM for Ti-3Al-2.5V.- Inclusive application of polymer 3D printing and metal additive manufacturing for the development of modular-insert type wheels for green grinding.- Optimization of Abrasive Jet Drilling on Alumina Plate Using Silicon Carbide Abrasive.- Developed a Mathematical model for a Sustainable Flow Shop Scheduling Problem.- Effect of Beveled Exit Edge on Burr Formation in Drilling.- High-Infeed Grinding of Aluminium Composite by Patterned Diamond Tool.- Dry and near dry grinding with patterned brazed cBN wheel.- Artificial Neural Network-Based Prediction of Wire EDM Control Parameters during Machining of Ni50.3-Ti29.7-Hf20 SMA.- Deep Learning-based Neural Network for flank wear prediction using Acoustic Emission signals on Inconel 617 alloy.- Fabrication of Tungsten carbide tools through ECM for UAECDM process using different electrolytes.- Experimental Investigation on Abrasive Flow Finishing of Spiral Bevel Gears.- etc.
Experimental investigation and hybrid metaheuristic optimization using ANN-MOJAYA on corner accuracy during WEDM for Ti-3Al-2.5V.- Inclusive application of polymer 3D printing and metal additive manufacturing for the development of modular-insert type wheels for green grinding.- Optimization of Abrasive Jet Drilling on Alumina Plate Using Silicon Carbide Abrasive.- Developed a Mathematical model for a Sustainable Flow Shop Scheduling Problem.- Effect of Beveled Exit Edge on Burr Formation in Drilling.- High-Infeed Grinding of Aluminium Composite by Patterned Diamond Tool.- Dry and near dry grinding with patterned brazed cBN wheel.- Artificial Neural Network-Based Prediction of Wire EDM Control Parameters during Machining of Ni50.3-Ti29.7-Hf20 SMA.- Deep Learning-based Neural Network for flank wear prediction using Acoustic Emission signals on Inconel 617 alloy.- Fabrication of Tungsten carbide tools through ECM for UAECDM process using different electrolytes.- Experimental Investigation on Abrasive Flow Finishing of Spiral Bevel Gears.- etc.
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