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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | OPTIMIZATION OF MACHINING INPUT PARAMETERS OF CNC MILLING OPERATION BY TAGUCHI APPROACH |
| Authors Name: | Vijay Kant Yadav , Ajeet Kumar |
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IJRTI_187686
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| Published Paper Id: | IJRTI2307098 |
| Published In: | Volume 8 Issue 7, July-2023 |
| DOI: | |
| Abstract: | Aluminum is the second most used metal after steel, largely because it is so versatile. It has been widely used in industries, aerospace industries, building and construction industries, packaging industries, etc. Machining is the removal of metal in the form of chips to produce work-piece. Quality of machining is generally specified by surface roughness. Lower the value of surface roughness, higher will be the quality. The optimization of input parameter has been done for improvement of quality of the product of Milling Operation on CNC machine. Feed rate, spindle speed & depth of cut are taken as the input parameters and the surface roughness are taken as output parameter. In the reduction of performance characteristics and quality measures, Taguchi’s approach is very useful in the design of experiments. In the present work L9 Array has been used in design of experiment for optimization of input parameters. This project attempts to introduce and thus verifies experimentally as to how the Taguchi parameter design could be used in identifying the significant processing parameters and optimizing the surface roughness of the milling operation. |
| Keywords: | Machining, Milling Operation, Taguchi Approach, CNC machine. |
| Cite Article: | "OPTIMIZATION OF MACHINING INPUT PARAMETERS OF CNC MILLING OPERATION BY TAGUCHI APPROACH", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 7, page no.671 - 681, July-2023, Available :http://www.ijrti.org/papers/IJRTI2307098.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2307098
Registration ID:187686
Published In: Volume 8 Issue 7, July-2023
DOI (Digital Object Identifier):
Page No: 671 - 681 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2307098 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2307098 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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