<?xml version="1.0" encoding="UTF-8"?>
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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/1978" />
  <subtitle />
  <id>http://localhost:8080/xmlui/handle/123456789/1978</id>
  <updated>2026-06-23T06:21:30Z</updated>
  <dc:date>2026-06-23T06:21:30Z</dc:date>
  <entry>
    <title>Process parameter optimization based on principal components analysis during machining of hardened steel</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/1979" />
    <author>
      <name />
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/1979</id>
    <updated>2019-05-04T09:46:14Z</updated>
    <published>2015-02-16T00:00:00Z</published>
    <summary type="text">Title: Process parameter optimization based on principal components analysis during machining of hardened steel
Abstract: The optimum selection of process parameters has played an important role for improving the&#xD;
surface finish, minimizing tool wear, increasing material removal rate and reducing machining&#xD;
time of any machining process. In this paper, optimum parameters while machining AISI D2&#xD;
hardened steel using solid carbide TiAlN coated end mill has been investigated. For optimization&#xD;
of process parameters along with multiple quality characteristics, principal components analysis&#xD;
method has been adopted in this work. The confirmation experiments have revealed that to&#xD;
improve performance of cutting; principal components analysis method would be a useful tool.</summary>
    <dc:date>2015-02-16T00:00:00Z</dc:date>
  </entry>
</feed>

