Prediction Of Fluidity Parameter In Thixoforming Process For Aluminum Alloy Using Fuzzy Logic Approach

Abstract

Thixoforming or semisolid metal processing is an upcoming technology to obtain near net shaped components. The material is processed in between the solidus and liquidus temperatures. This process is also known as thixoforging or thixocasting depending on the initial condition of the billet and process adopted. Fluidity is an important process parameter which determines the quality of the end product. Simulation studies are carried out to determine the fluidity parameter using Taguchiā€Ÿs design of experiments. An attempt is made to develop a mathematical model using fuzzy logic approach to predict the fluidity parameter. Some of the process conditions that are used to study the process are billet temperature, ram speed and die temperature. The model is validated by experimental study.

Authors and Affiliations

M. V. Kishore

Keywords

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  • EP ID EP402781
  • DOI 10.9790/9622-0810052426.
  • Views 145
  • Downloads 0

How To Cite

M. V. Kishore (2018). Prediction Of Fluidity Parameter In Thixoforming Process For Aluminum Alloy Using Fuzzy Logic Approach. International Journal of engineering Research and Applications, 8(10), 24-26. https://europub.co.uk/articles/-A-402781