Ebook: Statistical and Computational Techniques in Manufacturing

In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.

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In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.

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In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.
Content:
Front Matter....Pages 1-12
Design of Experiment Methods in Manufacturing: Basics and Practical Applications....Pages 1-54
Stream-of-Variation Based Quality Assurance for Multi-station Machining Processes – Modeling and Planning....Pages 55-99
Finite Element Modeling of Chip Formation in Orthogonal Machining....Pages 101-144
GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process....Pages 145-185
Single and Multi-objective Optimization Methodologies in CNC Machining....Pages 187-218
Numerical Simulation and Prediction of Wrinkling Defects in Sheet Metal Forming....Pages 219-252
Manufacturing Seamless Reservoirs by Tube Forming: Finite Element Modelling and Experimentation....Pages 253-280
Back Matter....Pages 0--1

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In recent years, interest in developing statistical and computational techniques for applied manufacturing engineering has been increased. Today, due to the great complexity of manufacturing engineering and the high number of parameters used, conventional approaches are no longer sufficient. Therefore, in manufacturing, statistical and computational techniques have achieved several applications, namely, modelling and simulation manufacturing processes, optimization manufacturing parameters, monitoring and control, computer-aided process planning, etc. The present book aims to provide recent information on statistical and computational techniques applied in manufacturing engineering. The content is suitable for final undergraduate engineering courses or as a subject on manufacturing at the postgraduate level. This book serves as a useful reference for academics, statistical and computational science researchers, mechanical, manufacturing and industrial engineers, and professionals in industries related to manufacturing engineering.
Content:
Front Matter....Pages 1-12
Design of Experiment Methods in Manufacturing: Basics and Practical Applications....Pages 1-54
Stream-of-Variation Based Quality Assurance for Multi-station Machining Processes – Modeling and Planning....Pages 55-99
Finite Element Modeling of Chip Formation in Orthogonal Machining....Pages 101-144
GA-Fuzzy Approaches: Application to Modeling of Manufacturing Process....Pages 145-185
Single and Multi-objective Optimization Methodologies in CNC Machining....Pages 187-218
Numerical Simulation and Prediction of Wrinkling Defects in Sheet Metal Forming....Pages 219-252
Manufacturing Seamless Reservoirs by Tube Forming: Finite Element Modelling and Experimentation....Pages 253-280
Back Matter....Pages 0--1
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