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    <title>surface roughness prediction model for laser beam cutting (LBC) on acrylic sheets</title>
  </titleInfo>
  <name type="personal">
    <namePart>Mohd Arif Mokti</namePart>
    <role>
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  <genre authority="marc">theses</genre>
  <originInfo>
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      <placeTerm type="code" authority="marccountry">my</placeTerm>
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    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2008</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>53 p. : ill. (some col.) ; 30 cm.+ 1 CD-ROM</extent>
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  <abstract>The present thesis discusses the development of the statistic model surface roughness   for  acrylic  sheet on  laser beam  cutting  and  the  effect  of  laser  beam  cutting  (LBC)   parameters  towards  acrylic  sheet  surface  roughness.  The model  are  developed  by   using  the  response  surface  methodology  (RSM)  to  study  the  effect  of  cutting   parameters  (power,  laser speed,  gap  distance  and  material  thickness)  on  acrylic   sheets surface roughness. The model of the experiment is performed with using Box-  Behnken  design which  it  will  arrange  all  the  cutting  parameters  with  suitable   combination  that  needed  for  experiments  performance.  The  affect  of  input  factors   and  the  interaction between  these  factors are  also  investigated  in  this  study.  It was   found  that  the  interaction of  these parameters (power,  laser speed, gap distance and   material  thickness) with  surface  roughness  was  extremely  strong.  The  predictive   models  in  this  study  are  believed  to  produce  value  of  the  surface  roughness. The   predicted model  for  first  order  and  second  order  for  this model  is  performed with   using  MINITAB  software.  MINITAB  will  able  to  give  solution  for  many  data   analysis and then predicted model will come out after finish all the analysis steps.</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Mohd Arif Mokti</note>
  <note>Project paper (Bachelor of Mechanical Engineering with manufacturing) -- Universiti Malaysia Pahang - 2008</note>
  <subject authority="lcsh">
    <topic>Laser beam cutting</topic>
  </subject>
  <identifier type="isbn">THE0006568(Local)</identifier>
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    <recordCreationDate encoding="marc">090805</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204414.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000041098</recordIdentifier>
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