Abstract

LM 25 is an aluminum alloy that has numerous applications such as in the manufacturing of automobile components and food industries, and especially in marine and seawater applications, due to its exceptional properties. An exertion has been taken for attaining the best-suited group of machining variables to attain improved and better performance in machining such as increased rate of material removal, lessened roughness values at the machined surface and the total cost incurred during machining. Taguchi’s design methodology has been implemented for devising the experimental combinations and also for single aspects optimization of deemed performance measures. Grey’s theory concept has been adopted for attaining Grey Relational Coefficient values and the values have been further utilized for evolving Grey Relational Grade. Analysis of Variance (ANOVA) has been employed to determine the significance of input process variables on the desired performance measures and interaction analysis also has been performed to determine the interaction effect between the selected process variables. As a result of optimization, the optimal combination of cutting parameters in turning LM25 aluminum alloy is cutting speed (A) = 150.79 m/min, feed (B) = 0.15 mm/min, depth of cut (C) = 0.9 mm and cutting fluid flow rate (D) = 75 mL/h. Compared with the initial parameter settings, surface roughness (Ra) decreases by 67.97%, material removal rate (MRR) increases by 88.12% and total machining cost (TMC) decreases by 93.86%. The proposed approach helps the manufacturer to attain better machining performance at an affordable cost.

Highlights

  • Aluminum alloys comprising “Si” as a chief alloying constituent that structures a group of material offers the most noteworthy part of all casting made materials

  • The experimental runs were accomplished as per L27 OA used for exploring the prominence of independent variables on desired performance characteristics in the CNC turning of LM25 aluminum alloy

  • An exertion was made for ascertaining the best probable combination of process variables for accomplishing the efficacious and competent CNC turning process

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Summary

Introduction

Aluminum alloys comprising “Si” as a chief alloying constituent that structures a group of material offers the most noteworthy part of all casting made materials. These are alloys most commonly adopted in various engineering fields namely as automobile and aerospace industries because of their exceptional mechanical behavior as well as their resistance to corrosive environments [1]. Various researchers have performed analysis on machining of aluminum alloys with minimum lubricant conditions/dry machining conditions [6,7,8,9,10,11]

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