(UL)
  • The use of response surface methodology for prediction and analysis of surface roughness of AISI 4140 steel = Uporaba metolologije odgovora površine za napoved in analizo hrapavosti pri jeklu AISI 4140
    Kahraman, Funda
    This paper utilizes regression modeling in turning process of AISI 4140 steel using Response Surface Methodology (RSM) with rotatable Central Composite Design (CCD). A quadratic model was developed ... for the prediction and analysis of the relationship between the cutting conditions and surface roughness. In the development of predictive models, cutting parameters of cutting speed, feed rate and depth of cut were considered as model variables, surface roughness were considered as a response variable. The statistical analysis showed that, cutting speed and feed rate have the most significant effect on surface soughness. The predicted values was found similar to the actual values. The alternative solutions of the optimization approach using desirability functions were used to determine the optimum processing conditions.
    Vir: Materiali in tehnologije = Materials and technology. - ISSN 1580-2949 (Vol. 43, no. 5, 2009, str. 267-270)
    Vrsta gradiva - članek, sestavni del
    Leto - 2009
    Jezik - angleški
    COBISS.SI-ID - 759722

Vnos na polico