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Micro milling is an machining method which is used for the production of micro components and used in the micro fluids form like poly methyl methacrylate (PMMA) or PolyCarbonate(PC) i.e. Plastic .Advantage of using micromilling is fabrication process is faster , it is low cost ,and it is used to fabricate the structures that are more complicated.In this study PMMA has taken as substrate for micro milling which is followed by factor analysis . The parameters are spindle speed,depth of cut and Surface quality . Surface quality is measured by the instrument called stylus profilometer.In this paper includes 450 experiments of the micromilling by different parameters. Later this data is kept in table format and train the data to predict burr formation using Convolution Neural Network(CNN).
Keywords:
Milling,Convolution Neural Network(CNN)
Cite Article:
"A REVIEW ON BURR FORMATION STUDY USING MACHINE LEARNING IN END MICRO MILLING PMMA(Polymethyl Methacrylate) AND PC(PolyCarbonate) SUBSTRATES", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 11, page no.114 - 116, November-2022, Available :http://www.ijrti.org/papers/IJRTI2211018.pdf
Downloads:
000205060
ISSN:
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