Modelling and analysis of abrasive wear performance of composites using Taguchi approach

SS Mahapatra, V Chaturvedi
2010 International Journal of Engineering, Science and Technology  
Short lignocellulosic fibres are extensively used these days as reinforcing materials in many thermoset and thermoplastic matrices due to their low cost, lower density than inorganic fibres, environmentally-friendliness, and the relative ease of obtaining them. Such fibres would not contribute to the wear and tear of polymer processing equipment and may not suffer from size reduction during processing, both of which occur when inorganic fibres or fillers are used. These fibres can also be
more » ... s can also be easily moulded to wide variety of shapes during composite preparation. However, modelling and analysis of behaviour of composites reinforced with short fibre drawn from agricultural resources has been studied to a limited extent. Particularly, the optimum size of short fibre just capable of transferring the load and flexibility during preparation has not been studied through a simple systematic modelling approach due to the complexity involved in its modelling aspect. To this end, an attempt has been made in this work to study the abrasive behaviour of untreated sugarcane fibre reinforced composites in a simplified manner and develop empirical model. The effect of various test parameters and their interactions have been studied using Taguchi method to find out optimal parameter setting for minimum wear (weight loss). It has been observed that fibre length plays a major role in wear phenomenon. The length of the fibre has been optimized using a popular evolutionary technique known as particle swarm optimization (PSO) and neural network. The study recommends that fibre length should be 7-8 mm for minimum wear of the composites. He has more than 20 years of experience in teaching and research. His current area of research includes Multi-criteria Decision-Making, Quality Engineering, Assembly Line Balancing, Group Technology, Neural Networks, and Non-traditional Optimization and Simulation. He has published more than fifty papers in referred international journals. He has also presented more than one hundred research articles in national and international conferences. He has written few books related to his research work. He is currently dealing with few projects sponsored by government of India. Mr. Vedansh Chaturvedi is a final year student of stream M.Tech. (Production) in Mechanical Engineering, National Institute of Technology Rourkela, India. He is pursuing his thesis work on parametric appraisal of fused deposition modeling process. His current area of research includes DoE, Multivariate Analysis and Optimization Techniques. He has published three journal papers and presented five papers in international conferences.
doi:10.4314/ijest.v1i1.58072 fatcat:texahor75fh43cs7igfopxgo5e