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  <title>DSpace Collection:</title>
  <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/1989" />
  <subtitle />
  <id>http://localhost:8080/xmlui/handle/123456789/1989</id>
  <updated>2026-06-23T06:33:45Z</updated>
  <dc:date>2026-06-23T06:33:45Z</dc:date>
  <entry>
    <title>Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II</title>
    <link rel="alternate" href="http://localhost:8080/xmlui/handle/123456789/1990" />
    <author>
      <name>Mali, Anil</name>
    </author>
    <id>http://localhost:8080/xmlui/handle/123456789/1990</id>
    <updated>2019-05-10T05:39:08Z</updated>
    <published>2017-02-09T00:00:00Z</published>
    <summary type="text">Title: Parametric optimisation of abrasive water jet machining of glass fibre reinforced plastic composite using non-dominated sorting genetic algorithm-II
Authors: Mali, Anil
Abstract: Machining of glass fibre reinforced plastic (GFRP) possesses several&#xD;
challenges; it is completely different from metal machining. Abrasive water jet&#xD;
machining has proved to be an interesting manufacturing process to machine&#xD;
GFRP in environment friendly manner. In this paper, experimentation is&#xD;
conducted and mathematical model has been developed to establish the&#xD;
correlation between process variables: water jet pressure, traverse rate, abrasive&#xD;
mass flow rate and standoff distance with performance measures: surface&#xD;
roughness, kerf width and kerf taper angle using response surface methodology.&#xD;
A well-known multi-objective optimisation method, non-dominated sorting&#xD;
genetic algorithm-II, is applied to obtain the set of Pareto-optimal solutions,&#xD;
which can be used as a ready reference by the process engineers. Rarely if ever,&#xD;
multiple responses are considered but that too are attempted with priori&#xD;
approach considering finite solutions. Whereas in practice, the problem has to&#xD;
be dealt with infinite solutions with posteriori approach, which is attempted in&#xD;
the proposed method</summary>
    <dc:date>2017-02-09T00:00:00Z</dc:date>
  </entry>
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