Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545666
Title: Experimental Investigation and CFD Simulation in Machining of Advanced Engineering Ceramic Materials Using Developed Fluidized Bedhot Abrasive Jet Machining FBHAJM Setup
Researcher: Pradhan, Subhadip
Guide(s): Dhupal, Debabrata
Keywords: Engineering
Engineering and Technology
Engineering Mechanical
University: Veer Surendra Sai University of Technology
Completed Date: 2022
Abstract: In the past few decades, sophisticated machining industries are rapidly improved to attain newlinethe required shape of part within specific time and also not affecting/disturbing material newlineproperties. Accuracy of machined components is very important in every industry and newlinegeometrical accuracy of hole is vital in case of sub-assemblies of components. In this newlineperspective, the researchers/experts updated their machinery time to time. In machining newlineprocess, the mainly affected parameters are environment and time of machining zone, so newlinein this case to overcome these problems encountered it is necessary to consider design of newlineexperiments which is having a great use in machining zone. The better machining newlinecapabilities of abrasive jet machining characterized by the absence of thermal distortion newlinemake it highly competitive with other cutting processes employing plasma and lasers.In this article, an attempt has been made to combine hot abrasives and compressed air to newlineform a hot abrasive air jet. Hot abrasive jet machining (HAJM) can be applied to various newlineoperations such as drilling, surface etching, grooving and micro finishing on the glass and newlineceramics. This research work involved in cutting performance evaluation of hot abrasive newlinejet machining (HAJM) process and machinability investigation of hardstone quartz newlineconcerning surface roughness, taper angle and material removal rate. Three levels each for newlineair pressure, stand-off distance and abrasive temperature were selected as control newlineparameters. Experimental results in accordance of Box-Behnken s design of experiments newlineare analyzed by employing analysis of variance (ANOVA) and statistical technique (here, newlinedesirability function analysis of RSM) followed by computational approach (here, genetic newlinealgorithm) for experimental investigation, predictive modeling and multi-response newlineoptimization, respectively. newline newline newline
Pagination: 
URI: http://hdl.handle.net/10603/545666
Appears in Departments:Department of Production Engineering

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01_title.pdfAttached File40.02 kBAdobe PDFView/Open
02_prelimpages.pdf619.5 kBAdobe PDFView/Open
03_contents.pdf104.04 kBAdobe PDFView/Open
04_abstract.pdf73.3 kBAdobe PDFView/Open
05_chapter 1.pdf3.11 MBAdobe PDFView/Open
06_chapter 2.pdf2.43 MBAdobe PDFView/Open
07_chapter 3.pdf2.11 MBAdobe PDFView/Open
08_chapter 4.pdf4.34 MBAdobe PDFView/Open
09_chapter 5.pdf1.47 MBAdobe PDFView/Open
10_chapter 6.pdf952.61 kBAdobe PDFView/Open
11_chapter7.pdf463.27 kBAdobe PDFView/Open
12_annexures.pdf293.73 kBAdobe PDFView/Open
80_recommendation.pdf499.59 kBAdobe PDFView/Open
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