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    Application and development
    Of case based reasoning in fixture design   
    Abstract: Based on  the  case based designing  (CBD) methodology,  the  fixture
    similarity  is  in  two  respects:  the  function  and  the  structure  information. Then,  the
    computer aided  fixture design  system  is  created on  case based  reasoning  (CBR),in
    which  the  attributes  of  the main  features  of workpiece  and  structure  of  fixture  as
    case  index  code are designed  for  the  retrieve of  the  similar cases, and  the  structure
    and  hierarchical  relation  of  case  library  are  set  up  for  store.  Meanwhile,  the
    algorithm  based  on  the  knowledge  guided  in  the  retrieve  of  the  similar  cases,  the
    strategy  of  case  adapt  at  ion  and  case  storage  in  which  the  case  ident  if  cat  ion
    number  is used  to  distinguish  from  similar  cases  are  presented. The  application  of
    the system in some projects improves the design efficiency and gets a good result .
    Keywords: case based reasoning ;fixture design; computer aided design(CAD)7092
     
         Fixtures  are  devices  that  serve  as  the  purpose  of  holding  the  workpiece
    securely and accurately, and maintaining a consistent relationship with respect to the
    tools while machining. Because  the  fixture  structure  depends on  the  feature  of  the
    product  and  the  status  of  the  process  planning  in  the  enterprise,  its  design  is  the
    bottleneck  during  manufacturing,  which  restrains  to  improve  the  efficiency  and
    leadtime.  And  fixture  design  is  a  complicated  process,  based  on  experience  that
    needs  comprehensive  qualitative  knowledge  about  a  number  of  design  issues     2
    including  workpiece  configuration,  manufacturing  processes  involved,  and
    machining  environment.  This  is  also  a  very  time  consuming  work  when  using
    traditional CAD  tools  (such  as Unigraphics,  CATIA  or  Pro/E), which  are  good  at
    performing  detailed  design  tasks,  but provide  few  benefits  for  taking  advantage  of
    the previous design experience and resources, which are precisely the key factors in
    improving  the  efficiency. The methodology of  case  based  reasoning  (CBR)  adapts
    the solution of a previously solved case  to build a solution  for a new problem with
    the  following  four steps: retrieve, reuse, revise, and retain [1]. This is a more useful
    method  than  the  use  of  an  expert  system  to  simulate  human  thought  because
    proposing  a  similar  case  and  applying  a  few  modifications  seems  to  be  self
    explanatory  and  more  intuitive  to  humans  .So  various  case  based  design  support
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