DocumentCode :
1792205
Title :
The attenuation model of sliding guides wear theory based on Archard wear model
Author :
Yahui Hu ; Chao Wang ; Rui Yang ; Yanqing Tan
Author_Institution :
Tianjin Key Lab. for Control, Theor. & Applic. in Complicated Syst., Tianjin Univ. of Technol., Tianjin, China
fYear :
2014
fDate :
3-6 Aug. 2014
Firstpage :
1570
Lastpage :
1574
Abstract :
In this paper, through the analysis of side wear characteristics of the machine sliding guides, the wear behaviour of machine tool slide guides under dry friction was studied through pin-on-disc wear tests with orthogonal experiment. The typical loading and velocity under the working condition of sliding guides were taken as the experimental variables. According to the form of the Archard wear model and the experimental results which were treated with multiple regression analysis, the corresponding regression equation about the the wear volume and the wear constant value could be get. Considering the actual motion state of sliding guides when machining the workpieces, we got the machine slide guides attenuation model via deduction of the formulas.
Keywords :
friction; machine tools; machining; mechanical guides; regression analysis; wear testing; Archard wear model; dry friction; loading; machine slide guides attenuation model; machine sliding guides; machine tool slide guides; orthogonal experiment; pin-on-disc wear tests; regression analysis; regression equation; side wear characteristics; sliding guides motion state; sliding guides wear theory; velocity; wear behaviour; wear constant value; wear volume; workpieces machining; Accuracy; Attenuation; Equations; Machine tools; Materials; Mathematical model; Steel; Archard wear model; attenuation model; orthogonal experiment; regression analysis; slide guide;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
Type :
conf
DOI :
10.1109/ICMA.2014.6885934
Filename :
6885934
Link To Document :
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