• DocumentCode
    2800620
  • Title

    The study of influence factors about work ability in Metal-cutting Processing

  • Author

    Fu Xiaojin

  • Author_Institution
    Dept. of Mech. & Electr. Eng., Shaoxing Coll. of Arts & Sci.
  • Volume
    2
  • fYear
    2006
  • fDate
    16-18 Oct. 2006
  • Firstpage
    1130
  • Lastpage
    1135
  • Abstract
    The work ability that this paper mentions refers to total mechanical work ability which includes durable degree of cutting, processing time of the work piece of the cutter and surface quality of processing referring to a lot of factors such as cutting capacity, material physics mechanical performance of the work piece, cutter material and geometry parameter, etc. In mechanical processing, it is important to locate influence factors of cutter life, process time and process surface roughness. This paper puts forward methods to select the most priority factor domain of influencing cutter life, processing time and processing surface roughness by stepwise regression in matrix. The remarkable factors which influence work ability are introduced one by one at working matrix, and the no remarkable factors which have influences on working ability are rejected in time, Finally, we obtain the optimum factor area, the most priority forecast equation and related equation are gained in order to develop the new cutter material further, lengthen service life of cutter, shorten the processing time of work piece, enhance productivity and improve process surface quality. The paper offers the theoretical foundation for engineering design
  • Keywords
    cutting; metalworking; optimisation; regression analysis; cutter life; influence factors; mechanical work ability; metal-cutting processing; processing surface roughness; processing time; stepwise regression; work capacity; Design engineering; Equations; Geometry; Inorganic materials; Machining; Mathematical model; Physics; Response surface methodology; Rough surfaces; Surface roughness; cutter life; factor domain; metal-cutting processing; stepwise regression; work capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    0-7695-2528-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2006.253771
  • Filename
    4021823