Modeling and prediction of surface roughness profile in longitudinal turning

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• 作者：Mite Tomov ; PhD^a ; ^{mitetomov@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; ^{mitetomov@mf.edu.mk" class="auth_mail" title="E-mail the corresponding author} (Assist. prof.) ; Mikolaj Kuzinovski ; PhD^a ; ^{mikolaj.kuzinovski@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; ^{mikolaj.kuzinovski@mf.edu.mk" class="auth_mail" title="E-mail the corresponding author} (Prof.) ; Piotr Cichosz ; PhD^b ; ^{piotr.cichosz@pwr.edu.mk" class="auth_mail" title="E-mail the corresponding author} (Prof.)
• 关键词：Surface roughness ; R-parameters ; Roughness profile ; Predicted profile
• 刊名：Journal of Manufacturing Processes
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：24
• 期：part_P1
• 页码：231-255
• 全文大小：4460 K

文摘

This paper presents the methodology for modeling and predicting the roughness profile shape in longitudinal turning. The research considers the roughness profile as the sum of two profiles designated as R_{kinem.−geomet.}$R_{kinem.-geomet.}$ and R_distorting$R_{distorting}$. The profile R_{kinem.−geomet.}$R_{kinem.-geomet.}$ is the theoretical profile obtained as the result of the kinematical-geometrical copying of the cutting tool onto the machined surface. The input values for the modelling R_{kinem.−geomet.}$R_{kinem.-geomet.}$ are the feed f$f$, the nose radius r_ε$r_{\epsilon }$ and the angles λ_s,γ_o,κ_r${\lambda }_s,{\gamma }_o,{\kappa }_r$. R_distorting$R_{distorting}$ is the profile obtained as a result of the impact of the other cutting conditions and factors that do not participate in the formation of R_{kinem.−geomet.}$R_{kinem.-geomet.}$ The shape of R_distorting$R_{distorting}$ directly depends on the condition of the surface roughness formation process. The Parameter of statistic equality of sampling lengths in surface roughness measurement (SE$SE$) indicates the condition of the surface roughness formation process. The proposed methodology was verified on work pieces made of 42CrMo (EN) using finishing inserts. The predicted and measured roughness profiles were compared using the following indicators: visual comparison of the roughness profiles, the Ra,Rp,Rv$Ra,Rp,Rv$ and Rz$Rz$ parameters respectively, the material ratio curves and the histograms.