Neuro-Fuzzy Modeling of Design Parameters of Connecting Rod
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 3
Abstract
Finite element analysis is frequently used for the simulation of complex shaped mechanical systems, under the complicated loading conditions; however, it is usually time consuming and difficult for the parametric design. To overcome this problem, Neuro-Fuzzy technique is used for modeling the design parameters of a component based on FEA results. In the present work, an attempt has been made to develop Neuro-Fuzzy model for predicting the maximum stresses generated in I section connecting rod (CR) at critical locations (node), based on FEA results. The three design parameters such as fillet radius, diameter and height of the big end of CR, obtained from FEA, are used as input for Neuro-Fuzzy model based on full factorial design. The Neuro-Fuzzy model is most efficient as regards to the accuracy achieved. Moreover, Neuro-Fuzzy modeling reduces the time as well as cost incurred for FE analysis of the component. It is concluded that Neuro-Fuzzy model may be preferred for modeling the design parameters of CR, under the fully reversible cyclic loading.
Authors and Affiliations
Atul Kaushik, Abhishek Tevatia, Anil Dahiya, Vikas Acharya, Amandeep
Keywords
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