Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offersan intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance.
- Introduction of soft computing in the composite materials engineering
- Includes accurate and detailed analysis of the current state of the art in the field
- Development of the intelligent models for design and manufacturing of composite material
- Details composite material performance prediction
- Optimization of the manufacturing process of composite materials
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Soft computing techniques Composite material engineering Manufacturing of thermoset matrix composites Manufacturing of brake friction materials Soft computing and composite material engineering Numerical modelling of composites manufacturing processes Computational optimization of composites manufacturing processes Neural network modelling and prediction of composite material performance Neuro-genetic control of brake friction materials performance
Dragan Aleksendric is an Associate professor at Automotive Department, Faculty of Mechanical Engineering, University of Belgrade, Serbia
Pierpaolo Carlone is an Assistant professor at the Department of Industrial Engineering, Faculty of Engineering, University of Salerno, Italy