• DocumentCode
    3105881
  • Title

    Machining parameter optimization using Taguchi approach

  • Author

    Saurabh ; Jassi, J.S. ; Mohammad, Aas ; Singh, D.P. ; Jafri, Hasan Zakir

  • Author_Institution
    ABES, Ghaziabad, India
  • fYear
    2015
  • fDate
    25-27 Feb. 2015
  • Firstpage
    90
  • Lastpage
    95
  • Abstract
    Among several industrial CNC machining processes, Turning is a fundamental machining process. Turning operation is widely used in industry including the aerospace and automotive sectors because of its versatility and efficiency. In order to get desired quality of the product by machining operation proper selection of process parameter is essential. Taguchi method is an effective tool for optimizing process parameters. The aim behind present work is to find surface roughness, which is key parameter to justify quality of machining operation. By this approach process parameter and their optimal settings is investigated. During machining operation influence of process parameter and their interaction during machining is also analyzed by ANOVA. Al-Alloys are universally acceptable materials due to their excellent corrosion resistance, formability, high strength-weight ratio that is unaltered at elevated temperatures. This work reflects the Depth of cut as the key factor for surface roughness optimization.
  • Keywords
    Taguchi methods; aluminium alloys; computerised numerical control; corrosion resistance; cutting; optimisation; product quality; statistical analysis; surface roughness; turning (machining); ANOVA; Al-alloys; Taguchi approach; Turning operation; aerospace sectors; automotive sectors; corrosion resistance; depth of cut; formability; high strength-weight ratio; industrial CNC machining processes; machining parameter optimization; process parameter selection; product quality; surface roughness optimization; Feeds; Rough surfaces; Surface finishing; Surface roughness; Turning; Surface Finish; Taguchi Method; Turning operation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8432-9
  • Type

    conf

  • DOI
    10.1109/ABLAZE.2015.7154964
  • Filename
    7154964