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
Lin Zhang, is a professor of Beihang University, China. He received his BS degree in 1986 from the Department of Computer and System Science at Nankai University, China. He received his MS and PhD degrees in 1989 and 1992, respectively, from the Department of Automation at Tsinghua University, China. From 2002 to 2005, he worked at the US Naval Postgraduate School as a senior research associate of the US National Research Council. He has served as the President of the Society for Modeling and Simulation International (SCS), executive vice president of the China Simulation Federation (CSF), and president of the Federation of Asian Simulation Societies (ASIASIM).Zhang is a Fellow of SCS, ASIASIM and CSF, a chief scientist of the National 863 Program and National Key R&D Program of China. He serves as the Director of Engineering at the Research Center of Complex Product Advanced Manufacturing Systems under China's Ministry of Education, and is editor-in-Chief and/or associate editor of 8 peer-reviewed international journals. He authored and co-authored more than 300 papers, 20 books and chapters.He is a recipient of China's National Award for Excellent Science and Technology Books, the Outstanding Individual Award of National High-Tech R&D Program, and National Excellent Scientific and Technological Workers Awards, as well as the SCS Outstanding Professional Contribution Award.His research interests include service-oriented modeling and simulation, cloud manufacturing and simulation, model engineering, model based system engineering, cyber-physical systems, and M&S for manufacturing systems.
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
Lin Zhang, is a professor of Beihang University, China. He received his BS degree in 1986 from the Department of Computer and System Science at Nankai University, China. He received his MS and PhD degrees in 1989 and 1992, respectively, from the Department of Automation at Tsinghua University, China. From 2002 to 2005, he worked at the US Naval Postgraduate School as a senior research associate of the US National Research Council. He has served as the President of the Society for Modeling and Simulation International (SCS), executive vice president of the China Simulation Federation (CSF), and president of the Federation of Asian Simulation Societies (ASIASIM).Zhang is a Fellow of SCS, ASIASIM and CSF, a chief scientist of the National 863 Program and National Key R&D Program of China. He serves as the Director of Engineering at the Research Center of Complex Product Advanced Manufacturing Systems under China's Ministry of Education, and is editor-in-Chief and/or associate editor of 8 peer-reviewed international journals. He authored and co-authored more than 300 papers, 20 books and chapters.He is a recipient of China's National Award for Excellent Science and Technology Books, the Outstanding Individual Award of National High-Tech R&D Program, and National Excellent Scientific and Technological Workers Awards, as well as the SCS Outstanding Professional Contribution Award.His research interests include service-oriented modeling and simulation, cloud manufacturing and simulation, model engineering, model based system engineering, cyber-physical systems, and M&S for manufacturing systems.
AODELING AND SIMULATION IN MANUFACTURING
320
AODELING AND SIMULATION IN MANUFACTURING
320
Product Details
| ISBN-13: | 9789819801480 |
|---|---|
| Publisher: | WSPC |
| Publication date: | 03/05/2025 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| Pages: | 320 |
| File size: | 32 MB |
| Note: | This product may take a few minutes to download. |