#orthogonalarray

[ijtsrd]

Optimization of Turning Process Parameters for EN24 Steel Alloy using Experimental Design

by C. Shobha | Dr. K. Ganesh Babu | N. Mohammed Raffic "Optimization of Turning Process Parameters for EN24 Steel Alloy using Experimental Design" 

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3, April 2019, 

URL: https://www.ijtsrd.com/papers/ijtsrd22911.pdf

Paper URL: https://www.ijtsrd.com/engineering/mechanical-engineering/22911/optimization-of-turning-process-parameters-for-en24-steel-alloy-using-experimental-design/c-shobha

international journals in engineering, engineering journal, paper publication for engineering

The overarching aim of this work is to optimize the various process parameters involved in turning of EN 24 Steel alloy using Tungsten Carbide inserts to enhance the tool life and surface finish. Appropriate or random selection of cutting parameters have serious effect over the final output responses such as Surface Roughness, Tool life and other related properties of both the work piece and tool. Controlling the effective parameters is the need of the hour in any product manufacturing system. In the present work three different turning process parameters such as Cutting Speed, Feed rate and Depth of cut are considered for optimization study by varying them with three levels. The experimental design matrix for conducting experiments were prepared using Taguchi's Orthogonal Array and calculation of Signal to Noise ratio is done for identifying the best combination of parameters. Through ANOVA it is observed that Cutting speed is the most influencing parameter with a maximum contribution of 80.23 comparing to the other input parameters over surface roughness. The S N ratio method Smaller is Better have shown that the parameter level combination A3B1C1 2000m min, 0.05 mm rev, 0.2 mm can provide good surface finish of the material with enhanced tool life. 

[lupinepublishers]

Orthogonal Arrays and Row-Column and Block Designs for CDC Systems By Mahndra Kumar Sharma in #CTBB-Lupine Publishers

In this article, block and row-column designs for genetic crosses such as Complete diallel cross system using orthogonal arrays (p2, r, p, 2), where p is prime or a power of prime and semi balanced arrays (p(p-1)/2, p, p, 2), where p is a prime or power of an odd prime, are derived. The block designs and row-column designs for Griffing’s methods A and B are found to be A-optimal and the block designs for Griffing’s methods C and D are found to be universally optimal in the sense of Kiefer. The derived block and rowcolumn designs for method A and C are new and consume minimum experimental units. According to Gupta block designs for Griffing’s methods A,B,C and D are orthogonally blocked designs. AMS classification: 62K05. 

https://lupinepublishers.com/biostatistics-biometrics-journal/fulltext/orthogonal-arrays-and-row-column-and-block-designs-for-cdc-systems.ID.000103.php

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