multiple-response optimization of cutting forces in turning of ud-gfrp composite using distance-based pareto genetic algorithm approach

Clicks: 241
ID: 210246
2015
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Abstract
This paper presents the investigation of cutting forces (tangential and feed force) by turning of unidirectional glass fiber reinforced plastics (UD-GFRP) composite. Composite materials are used in variety of engineering applications in different fields such as aerospace, oil, gas and process industries. Process parameters (tool nose radius, tool rake angle, feed rate, cutting speed, depth of cut and cutting environment) are investigated using Taguchi's robust design methodology. Taguchi's L18 orthogonal array is used to conduct experimentation. The experimentation is carried out with Carbide (K10) Tool, covering a wide range of machining conditions. Analysis of variance (ANOVA) is performed for significant parameters and later regression model is developed for the significant parameters. The relative significance of various factors has also been evaluated and analyzed using ANOVA. Distance-Based Pareto Genetic Algorithm (DBPGA) approach is used to optimize tangential and feed force. Predicted optimum values for tangential force and feed force are 39.93 N and 22.56 N respectively. The results of prediction are quite close with the experimental values.
Reference Key
kumar2015engineeringmultiple-response Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Surinder Kumar;Meenu Gupta;P.S. Satsangi
Journal International journal of molecular sciences
Year 2015
DOI
10.1016/j.jestch.2015.04.010
URL
http://www.sciencedirect.com/science/article/pii/S2215098615000701
Keywords
anova civil engineering (general)

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