Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/312061
Title: Experimental And Numerical Investigation On Nd Yag Laser Microgrooving Process
Researcher: Dixit, Salila Ranjan
Guide(s): Dhupal, Debabrata and Nanda, Bijoy Kumar
Keywords: Engineering
Engineering and Technology
Engineering Manufacturing
University: Veer Surendra Sai University of Technology
Completed Date: 2020
Abstract: Science and technology is advancing to infinite extent in search of newer materials and newlinealloys with higher hardness, strength and lesser weight have the extensive applications in newlinediverse fields of engineering which are very difficult to be machined by conventional newlinemachining processes because of (i) dimensional accuracy and precision, (ii) low newlinemachinability, (iii) low production rate, (iv) higher economy, and (v) undesirable newlinedeformations and residual stresses on the workpiece. This work addresses the newlineexperimental investigation, predictive modelling and parametric optimization in Nd:YAG newlinelaser micrgrooving of alumina ceramic towards improvement in dimensional deviations newline(upper width, lower width, depth) of square shaped microgroove. With the consideration newlineof five process parameters (air pressure, lamp current, pulse frequency, pulse width, and newlinecutting speed), thirty-two numbers of experimental trials are performed based on DOE in newlineorder to predict and control the abovementioned responses using response surface newlinemethodology (RSM), artificial neural network (ANN), and genetic algorithm (GA). newlineResults show that, lamp current has the maximum effect and pulse width as well as newlinecutting speed has moderate effect on deviation of upper width, lower width and depth. newlinePrecise control of process parameters gives the minimum value of the deviations of the newlineresponses. Pulse frequency and air pressure have less effect on the responses i.e. deviation newlineof upper width, lower width and depth. Moreover, the performance of the predictive ANN newlinemodel based on 5-8-8-3 architecture, gave the minimum error (MSE = 0.000099) and newlinepresented highly promising to confidence with percentage error less than 3% in newlinecomparison to experimental result data set. The ANN model combined with GA leads to newlineminimum deviation of upper width, lower width and depth value of -0.0278 mm, 0.0102 newlinemm and -0.0308 mm respectively, corresponding to optimum laser microgrooving process parameters 1.2 kgf/cm2 of air pressure, 19.5 Amp of lamp current, 4 kHz of p
Pagination: 108 p.
URI: http://hdl.handle.net/10603/312061
Appears in Departments:Department of Production Engineering

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abstract.pdf15.86 kBAdobe PDFView/Open
certificate.pdf10.38 kBAdobe PDFView/Open
chapter 1.pdf44.48 kBAdobe PDFView/Open
chapter 2.pdf137 kBAdobe PDFView/Open
chapter 3.pdf3.05 MBAdobe PDFView/Open
chapter 4.pdf2.71 MBAdobe PDFView/Open
chapter 5.pdf1.68 MBAdobe PDFView/Open
chapter 6.pdf1.22 MBAdobe PDFView/Open
chapter 7.pdf4.46 MBAdobe PDFView/Open
chapter 8.pdf29.22 kBAdobe PDFView/Open
content.pdf19.48 kBAdobe PDFView/Open
list of figures & tables.pdf20.01 kBAdobe PDFView/Open
references.pdf79.62 kBAdobe PDFView/Open
title page.pdf61.69 kBAdobe PDFView/Open
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