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  <titleInfo>
    <title>Optimization of tool path parameter for machining of free form surface profile of pre harden steel</title>
  </titleInfo>
  <name type="personal">
    <namePart>Siti Aishah Arman</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>software, multimedia</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2016</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <extent>1 computer disc : digital data ; 12 cm.</extent>
  </physicalDescription>
  <abstract>This project deal with the optimization of machining parameter of the free form design of pre harden steel along with the tool path strategy that classified as the hard-to-cut material. In this project, there are 2 main scope, they are tool path strategy that could machine the product to the uniformity result of the best surface roughness and low tool wear effect. The optimization machining parameter that need to be set up by specific analysis software. The tool path strategy generated in CAD CAM system in Catia software need to be study to produce the quality of product at the end of experiment and could improve the cutting tool life. In the other hand, research on the machining parameter in term of Feed Rate, Depth of Cut and Width of Cut need to be developed to find the most optimize parameter that will produce best surface finish and tool wear rate. Thus in the optimization of machining parameter, Taguchi method with 2 level and 3 factor of 𝐿4 orthogonal array experimental set up is very important as the guide to conduct the experiment, while the mathematical ANOVA lead to the answer of the most significant factor of machining parameter that effect in each of the output of experiment in term of Ra, Rz, Pt and TW.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Siti Aishah Arman</note>
  <note>Faculty of Manufacturing Engineering</note>
  <note>Theses Gred A</note>
  <note>Project Paper (Bachelor of Engineering in Manufacturing Engineering (Hons.)) -- Universiti Malaysia Pahang – 2016</note>
  <note>Item in PDF format</note>
  <subject authority="lcsh">
    <name type="corporate">
      <namePart>Faculty of Manufacturing Engineering</namePart>
    </name>
    <topic>Dissertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Universities and Colleges</topic>
    <topic>Dissertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Theses</topic>
  </subject>
  <identifier type="isbn">THE0005126(Local)</identifier>
  <identifier type="uri">http://ecollib.ump.edu.my/id/eprint/4021</identifier>
  <location>
    <url>http://ecollib.ump.edu.my/id/eprint/4021</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">UMP</recordContentSource>
    <recordCreationDate encoding="marc">161214</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251117113323.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000098463</recordIdentifier>
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