Optimization of machining parameters of composites using multi-attribute decision-making techniques: A review
| Autor: | P. R. Thyla, R. Arun Ramnath, N Mahendra Kumar, S Aravind |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Materials science Polymers and Plastics Mechanical Engineering Composite number Mechanical engineering 02 engineering and technology 021001 nanoscience & nanotechnology 020901 industrial engineering & automation Work (electrical) Machining Mechanics of Materials Fiber matrix Materials Chemistry Ceramics and Composites Composite material 0210 nano-technology Literature survey |
| Zdroj: | Journal of Reinforced Plastics and Composites. 37:77-89 |
| ISSN: | 1530-7964 0731-6844 |
| Popis: | An in-depth literature survey of machining study on fiber-matrix composites is presented in this review paper. The review work mainly focuses on optimization of machining parameters in composite materials with different machining factors. Conventional machining processes such as turning, drilling and milling as well as composite materials which are reinforced with fibers are considered in this study. Machining aspects on various fiber matrix composites has been carried out over a long period of time. In this review work, conflicting conditions of multi-attribute decision-making techniques and machining conditions are focused. The optimization study on machining parameters is done, considering both priori and posteriori approach including advanced optimization techniques. Optimization of machining parameters in fiber reinforced particulate composites has not been explored earlier. The review work on machining study of composites was not attempted earlier and hence this work provides valuable information for subsequent researchers to enhance the scope of research work in particle-reinforced polymer composites. |
| Databáze: | OpenAIRE |
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