INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
In the metalworking and cutting industries, the surface finish and strength of the product are very important in determining the quality of the product. A good surface finish ensures the quality of the product. The effect and optimization of machining parameters on the surface roughness in a milling process is examined using the Taguchi method. The experimental investigations are carried out with different cutting speeds, feeds and depths of cut and considering the aluminum alloy 6063. In this project, the Taguchi Engineering and Utilization Concept, a multiple-response optimization method was employed to determine the optimal process parameters to simultaneously minimize surface roughness when milling an aluminum alloy on a CNC milling machine using a coated carbide tool . The experiments are designed according to the orthogonal matrix L9, i.e. considering three levels and three factors, and the optimization is performed using the S/N ratio.
Keywords:
Optimization,CNC,Miling,Surface Roughness
Cite Article:
"INVESTIGATING MACHINABILITY AND HARDNESS OF ALUMINIUM AL-LOY (Al-6063) WITH VARIOUS PROCESS PARAMETERS BASED ON TA-GUCHI METHOD BY CNC MILLING MACHINE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.7, Issue 6, page no.6-14, June-2022, Available :http://www.ijnrd.org/papers/IJNRD2206002.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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