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Title: Optimization of casting process parameters using taguchi method and evolutionary heuristics
Researcher: Guharaja, S
Guide(s): Noorul Haq, A
Keywords: Mechanical Engineering
Casting process parameters
Evolutionary heuristics
Mechanical engineering
Process optimization
Sand casting processes
Taguchi method
Upload Date: 20-Oct-2014
University: Anna University
Completed Date: 01/02/2009
Abstract: Quality achieved by means of process optimization was found useful by many manufactures because it is cost effective in terms of gaining and maintaining a competitive position in the world market Sand casting processes like green sand casting and CO2 casting in general involve a large number of parameters that affect the various casting quality features of products Some of the parameters are controllable and others are uncontrollable and hence they are essentially responsible for variation in casting quality Hence to achieve good and consistent quality not only the average response but the variation as well should be taken into consideration In this context Taguchi method of quality engineering encompasses all stages of process development whereas the key element for achieving high quality and low cost was by parameter design Through parameter design optimal levels of parameters are selected such that the influence of uncontrollable factors causes minimum variation of the system response
Pagination: xxiii, 186p.
Appears in Departments:Faculty of Mechanical Engineering

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04_acknowledgement.pdf22.71 kBAdobe PDFView/Open
05_contents.pdf70.28 kBAdobe PDFView/Open
06_chapter1.pdf83.06 kBAdobe PDFView/Open
07_chapter2.pdf147.32 kBAdobe PDFView/Open
08_chapter3.pdf107.3 kBAdobe PDFView/Open
09_chapter4.pdf71.35 kBAdobe PDFView/Open
10_chapter5.pdf192.7 kBAdobe PDFView/Open
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13_chapter8.pdf139.78 kBAdobe PDFView/Open
14_chapter9.pdf112.94 kBAdobe PDFView/Open
15_chapter10.pdf93.92 kBAdobe PDFView/Open
16_chapter11.pdf34.58 kBAdobe PDFView/Open
17_references.pdf72.82 kBAdobe PDFView/Open
18_publications.pdf23.19 kBAdobe PDFView/Open
19_vitae.pdf17.61 kBAdobe PDFView/Open

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