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Design of Experiments in Production Engineering

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This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

Author(s): J. Paulo Davim (eds.)
Series: Management and Industrial Engineering
Edition: 1
Publisher: Springer International Publishing
Year: 2016

Language: English
Pages: IX, 196
Tags: Industrial and Production Engineering; Operating Procedures, Materials Treatment; Operations Management; Operation Research/Decision Theory

Front Matter....Pages i-ix
Screening (Sieve) Design of Experiments in Metal Cutting....Pages 1-37
Modelling and Optimization of Machining with the Use of Statistical Methods and Soft Computing....Pages 39-88
Design of Experiments—Statistical and Artificial Intelligence Analysis for the Improvement of Machining Processes: A Review....Pages 89-107
A Systematic Approach to Design of Experiments in Waterjet Machining of High Performance Ceramics....Pages 109-133
Response Surface Modeling of Fractal Dimension in WEDM....Pages 135-149
Thrust Force and Torque Mathematical Models in Drilling of Al7075 Using the Response Surface Methodology....Pages 151-164
Design of Experiments in Titanium Metal Cutting Research....Pages 165-182
Parametric Optimization of Submerged Arc Welding Using Taguchi Method....Pages 183-194
Back Matter....Pages 195-196