ANALYSIS (STRESS, STRAIN & DISPLACEMENT) AND OPTIMIZATION OF CONNECTING ROD USING ALFA SIC COMPOSITES
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): MANOJ KUMAR PAL , TANMOI DUTTA , WASIM AHMED
Abstract: Connecting rod is the intermediate link between the piston and the crank. And is responsible to transmit the push and pull from the piston pin to crank pin, thus converting the reciprocating motion of the piston to rotary motion of the crank. Generally connecting rods are manufactured using carbon steel and in recent days aluminum alloys are finding its application in connecting rod. In this work connecting rod is replaced by aluminum based composite material reinforced with silicon carbide and fly ash. And it also describes the modeling and analysis of connecting rod. First of all we made a model of connecting rod using Pro-E software with standard dimensions. FEA analysis was carried out by considering two materials, one is Aluminium-360 and another is ALFA-Sic composite. The parameter like von misses stress, von misses strain and displacement was obtained from ANSYS software. Compared to the former material the new material found to have less weight. It resulted in reduction of 46.3
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-03-88
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MODELLING AND OPTIMIZATION OF EDM PROCESS: A FUZZY BASED APPROACH
Published In: INTERNATIONAL CONFERENCE ON ADVANCES IN ENGINEERING AND TECHNOLOGY
Author(s): I.SHIVAKOTI , N.LAHON , P.M.PRADHAN
Abstract: In this study Taguchi approach was used, which provides the design with a systematic and efficient method for conducting experimentation . The experiments are designed using L9 orthogonal array considering three process parameter such as, Current, Pulse-On Time, Pulse-Off Time, the response of the process such as Material removal rate (MRR), Tool wear rate (TWR), Surface roughness (Ra) are considered. The experimental data used in this paper is based on the research work done by Raghuraman S et.al. The analysis of various performance criteria such as, MRR, TWR, Ra, using Taguchi method and has been done. The input-output relationship modeling has been done using Fuzzy Logic. The predicted results obtained from fuzzy logic are compared with the experimental result. Moreover the multi objective optimization has been performed using fuzzy logic
- Publication Date: 25-May-2014
- DOI: 10.15224/978-1-63248-028-6-03-89
- Views: 0
- Downloads: 0