A Study on the Optimization of the Cutting Parameters in Turning of Pure Titanium
Pure titanium and its alloys are widely used in automotive industry, due to their high specific strength (strength/density) and excellent corrosion resistance, despite of their high cost. From point of view of machining, turning experiments of the pure titanium involve few input parameters (cutting...
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Published in | Applied Mechanics and Materials Vol. 896; pp. 299 - 304 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.02.2020
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Subjects | |
Online Access | Get full text |
ISBN | 9783035715934 3035715939 |
ISSN | 1660-9336 1662-7482 1662-7482 |
DOI | 10.4028/www.scientific.net/AMM.896.299 |
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Summary: | Pure titanium and its alloys are widely used in automotive industry, due to their high specific strength (strength/density) and excellent corrosion resistance, despite of their high cost. From point of view of machining, turning experiments of the pure titanium involve few input parameters (cutting speed, feed rate or depth of cut) and investigation of their influence on the response parameters of the cutting process (temperature in this case). Objectives of this study are to find the optimal combination of the input parameters, so that the temperature in turning of pure titanium to be minimum. In order to use a small number of experiments, two major tools, signal-to-noise (one of the three characteristic: nominal is the best, smaller the better or larger is better) and orthogonal array as statistical method can be used. For this study, a L9 (34) orthogonal array was considered adequate, so nine experiments was conducted using each factor (speed, feed and depth of cut) at three different levels. |
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Bibliography: | Selected, peer reviewed papers from the 5th International Conference of Mechanical Engineering (ICOME 2019), October 24-25, 2019, Craiova, Romania ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
ISBN: | 9783035715934 3035715939 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.896.299 |