Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/457976
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dc.date.accessioned2023-02-14T11:05:23Z-
dc.date.available2023-02-14T11:05:23Z-
dc.identifier.urihttp://hdl.handle.net/10603/457976-
dc.description.abstractCutting force generated during machining such as turning, drilling, milling and grinding newlinehas been the most effective way of understanding the machinability characteristics newlinesince, it directly affects the machined workpiece surface, tool life, power consumption newlineand dimensional accuracy. Further, it has been also observed that high cutting forces newlineresult in deterioration of fatigue life and increase in residual stress. Hence, it has been newlinethe challenge for the researchers to understand the reason behind increase in cutting newlineforces generated during machining of metals and alloys and to avoid excessive newlinedistortion. newlineGrowing demand for titanium due to its attractive properties such as superior strength to newlineweight ratios, fracture resistant characteristics, and their exceptional resistance to newlinecorrosion has made them viable in industrial as well as commercial applications, such as newlineaerospace industries, nuclear waste storage, automobile industries and surgical newlineimplantation. However, in spite of these properties titanium alloy is classified as newlinedifficult to machine materials because of its low modulus of elasticity, low thermal newlineconductivity and high chemical reactivity resulting in high tool vibration and high newlinecutting temperature has made the researchers to explore the machinability behaviour of newlineTi-6Al-4V. newlineIn the view of above facts, an attempt has been made to study the machinability of Ti- 6Al-4V in this dissertation. The main objective of the research is to determine the newlinefavourable machining conditions for minimizing the cutting force during machining of newlineTi-6Al-4V. Hence, orthogonal cutting experiments based on the results of Taguchi s newlinedesign of experiment, Response surface methodology, Desirability function approach, Artificial Neural Network (ANN), Fuzzy logic model, Finite element analysis and newlineExpert system has been developed to achieve this goal, because Taguchi s design of newlineexperiment, Response surface methodology, etc. are not experimental methods. newlineThe first part of the research discusses the influence of cutting paramete
dc.format.extent156
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDevelopment of Expert System for Estimation of Cutting Forces in Turning
dc.title.alternative
dc.creator.researcherChougula, Sanjeevkumar R
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Mechanical
dc.description.note
dc.contributor.guideMalagi, Ravindra R
dc.publisher.placeBelagavi
dc.publisher.universityVisvesvaraya Technological University, Belagavi
dc.publisher.institutionDepartment of Mechanical Engineering
dc.date.registered2011
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mechanical Engineering

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01_title.pdfAttached File10.9 kBAdobe PDFView/Open
02_prelim pages.pdf45.06 kBAdobe PDFView/Open
03_content.pdf66.63 kBAdobe PDFView/Open
04_abstract.pdf9.38 kBAdobe PDFView/Open
05_chapter 1.pdf642.69 kBAdobe PDFView/Open
06_chapter 2.pdf932.46 kBAdobe PDFView/Open
07_chapter 3.pdf491.56 kBAdobe PDFView/Open
08_chapter 4.pdf461.81 kBAdobe PDFView/Open
09_chapter 5.pdf431.02 kBAdobe PDFView/Open
10_annexures.pdf293.46 kBAdobe PDFView/Open
11_chapter 6.pdf744.1 kBAdobe PDFView/Open
12_chapter 7.pdf367.72 kBAdobe PDFView/Open
13_chapter 8.pdf103.83 kBAdobe PDFView/Open
14_chapter 9.pdf44.09 kBAdobe PDFView/Open
80_recommendation.pdf35.62 kBAdobe PDFView/Open


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