Modeling and Simulation in Manufacturing

Bol

The manufacturing industry is an important field of application for modeling and simulation (M&S) technology. M&S technology provides an effective, safe, and economical way for manufacturing practitioners to analyze and understand complex situations in manufacturing. This enables them to optimize production processes, reduce dependence on physical experiments, improve product quality, reduce production costs, and quickly respond to market cHanges. After more than 70 years of development, M&S technology has been successfully applied to all phases of the manufacturing lifecycle. This book features the latest developments and research achievements by M&S in manufacturing in the past decades through specially selected papers from the International Journal of Modeling, Simulation, and Scientific Computing. The collection is a useful reference for researchers and practitioners in this field. Contents: Cutting Forces Analysis of Micro-Milling Process on Inconel 718 — a Finite Element Approach (Padmaja Tripathy and Kalipada Maity) Simulation of Nonlinear Vibration Responses of Cab System Subject to Suspension Damper Complete Failure for Trucks (Leilei Zhao, Jian Guo, Yuewei Yu, Xiaohan Li and Changcheng Zhou) An Integrated Stochastic Model and Algorithm for Multi-Product Newsvendor Problems (Zhaoman Wan, Saihua Zhu, and Zhong Wan) Modeling the Temperature Shock of Elastic Elements Using a One-Dimensional Model of Thermal Conductivity (D A Belousova and V V Serdakova) Simulating the Stress–Strain State of a Thin Plate After a Thermal Shock (A V Sedelnikov, S V Glushkov, V V Serdakova, M A Evtushenko and E S Khnyryova) Numerical Investigation on Effect of Various Pump Rotational Speeds on Performance of Centrifugal Pump Based on CFD Analysis Technique (Ahmed Ramadhan Al-Obaidi) Numerical Modeling and Optimization of Process Parameters in Continuous Extrusion Process Through Response Surface Methodology, Artificial Neural Network & Genetic Algorithm (Tariku Desta, Devendra Kumar Sinha, Perumalla Janaki Ramulu and Ram Sewak Singh) Application of AI Techniques for Modeling the Performance Measures in Milling of 7075-T6 Hybrid Aluminum Metal Matrix Composites (T Mohanraj) Modeling and Analysis of a Novel 6-DOF Magnetic Levitation System with Experimental Verification (Shinan Cao, Pingjuan Niu, Sha Sheng, Bin Wang, Qiang Liu and Bangchen Han) Optimization Algorithms and Intelligent Techniques on Electrical Discharge Machining Process (C S Shyn and R Rajesh) A Novel Convolutional Neural Network for Electronic Component Classification with Diverse Backgrounds (Longfei Zhou and Lin Zhang) A Probabilistic Model for Estimating Some Design Characteristics of Aerostructures with an Illustration of a Monte Carlo Simulation, Statistical Inferences and Applications in Aerodynamics (Massoud Nakhkoob) A Framework for Development of Digital Twin Industrial Robot Production Lines Based on a Mechatronics Approach (Yuan Zhao, Yongkui Liu, Jianyong Feng, Jinwei Guo and Lin Zhang) Digital Twin-Driven Robotic Arm Operation Simulation and Health Management Research (Guofang Li, Kang Yang, Zhiyu Dong, Xiaoli Ji and Shaopei Wu) Simulation and Verification Analysis of the Ride Comfort of an In-Wheel Motor-Driven Electric Vehicle Based on a Combination of ADAMS and MATLAB (Peicheng Shi, Qi Zhao, Kefei Wang, Rongyun Zhang and Ping Xiao) Unsupervised Method of Clustering and Labeling of the Online Product Based on Reviews (Md Masum Billah, Mohammad Nuruzzaman Bhuiyan, and Md Akterujjaman) Readership: Practitioners and researchers specializing in the fields of System Engineering

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Pages: 320, Hardcover, World Scientific Publishing Company