Modern Optimization Techniques for Advanced Machining : Heuristic and Metaheuristic Techniques (Studies in Systems, Decision and Control) / Okokpujie, Imhade P./ Tartibu, Lagouge K.

Modern Optimization Techniques for Advanced Machining : Heuristic and Metaheuristic Techniques (Studies in Systems, Decision and Control) （2023）

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Modern Optimization Techniques for Advanced Machining : Heuristic and Metaheuristic Techniques (Studies in Systems, Decision and Control) （2023）

Okokpujie, Imhade P./ Tartibu, Lagouge K.

ウェブストア価格 ¥41,393（本体¥37,630）
Springer International Publishing AG（2023/07発売）
外貨定価 US$ 199.99
ポイント 376pt

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製本 Hardcover:ハードカバー版／ページ数 359 p.
商品コード 9783031354540

Full Description

Advanced manufacturing via computer numerical machining is the art of producing mechanical components employed in aerospace, automobile, and industrial applications where a high level of accuracy is needed. This book focuses on the nano-machining of aluminum alloy and its optimization. The application of aluminum alloy in the manufacturing industry has increased tremendously due to its lightweight to high strength ratio and high-level resistance to corrosion. However, aluminum alloy has some challenges during the machining and manufacturing stage in order to solve real-life manufacturing challenges in advanced machining operation for sustainable production processes. Therefore, it is a need for the implementation of a general algebraic modeling system (GAMS) and other metaheuristic techniques for problem solving and to effectively develop mathematical models for high accuracy prediction and optimization under nano-lubrication machining conditions. This book discusses majorly on themajor three responses in machining such as surface roughness, cutting force, and material removal rate, which will give an excellent guide to undergraduate and postgraduate students, senior research fellows in academia, operational, and strategic staff in manufacturing industries.

Overview of Advanced Machining Process.- Cutting Fluid and its Application with Different Delivering Machining Techniques.- Development and Application of Nano-Lubricant in Machining: A Review.- Global Machining Prediction and Optimization.- Multi-objective Grey Wolf Optimizer for improved machining performance.- Multi-objective Ant Lion Optimizer for improved machining performance.- Multi-objective Grasshopper Optimizer for improved machining performance.- A multi-objective optimization approach for improving machining performance using the General Algebraic Modelling System (GAMS).- ANN and QRCCD Prediction of Surface Roughness under Biodegradable Nano-lubricant.- Cutting Force Optimization under ANN and QRCCD.- Material Removal Rate Optimization under ANN and QRCCD.- Application of Hybrid ANN and PSO for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant.- Adaptive Neuro-Fuzzy Inference System for Prediction of Surface Roughness Under Biodegradable Nano-Lubricant.