Multiple response optimization for improved machined surface quality
DSpace at IIT Bombay
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Title |
Multiple response optimization for improved machined surface quality
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Creator |
KULKARNI, MS
MARIAPPAN V |
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Subject |
depth of work hardening
response surface methodology robust design multiple response optimization loss functions |
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Description |
Work material and cutting and tool parameters have a significant effect on the post-machining condition of a machined component. A case study from industry has been selected where it was observed that work hardening of machined surface leads to distortion of thin sections of the component. A multiple response optimization methodology has been used to identify robust cutting and tool parameter settings to minimize the variation and average value of the surface hardness and to minimize the depth of work hardening of the machined surface. The work material used is CuZn40Al2, which is also the material of the actual component. (C) 2002
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Publisher |
ELSEVIER SCIENCE SA
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Date |
2011-07-28T13:56:13Z
2011-12-26T12:59:35Z 2011-12-27T05:52:03Z 2011-07-28T13:56:13Z 2011-12-26T12:59:35Z 2011-12-27T05:52:03Z 2003 |
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Type |
Article
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Identifier |
JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 141(2), 174-180
0924-0136 http://dx.doi.org/10.1016/S0924-0136(02)01017-8 http://dspace.library.iitb.ac.in/xmlui/handle/10054/7419 http://hdl.handle.net/10054/7419 |
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Language |
en
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