Handbook of Research on Manufacturing Process Modeling and Optimization Strategies

Mechanical and other engineers review recent research and developments in modeling and optimizing manufacturing processes, particularly machining processes, which are the most frequently analyzed manufacturing processes. Their topics include process optimization in non-conventional processes: experimentation with plasma arc cutting, detecting faults through the vibration signal analysis of rolling element bearings in time, modeling polypropylene-modified bitumen mix design results using regression analysis, analyzing the efficiency of genetic algorithms and genetic programming in data mining and image processing, predicting water quality indices by using artificial neural network models, and designing and evaluating aluminum thin-film electrochemical sensors for biomedical analysis. Annotation ©2017 Ringgold, Inc., Portland, OR (protoview.com)