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contributor authorZhou
contributor authorChang-Guang;Wang
contributor authorLi-Dong;Shen
contributor authorJun-Wan;Chen
contributor authorChuan-Hai;Ou
contributor authorYi;Feng
contributor authorHu-Tian
date accessioned2022-08-18T13:07:21Z
date available2022-08-18T13:07:21Z
date copyright6/20/2022 12:00:00 AM
date issued2022
identifier issn0742-4787
identifier othertrib_144_11_111701.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287470
description abstractOwing to the measurement difficulty and the required time needed to analyze wear processes of ball screws, very few studies have been reported. Here, on the basis of a test bench and a Taylor Hobson surface profilometer, the measuring procedure for the raceway surface profiles of ball screws was proposed first. Then the raceway surface profiles of a typical ball screw were measured after 1.42 million running revolutions. Finally, a combinational method including the statistical parameters, recurrence analysis, and fractal dimensional was used to characterize the lubricated wear process. Results show that the increase of the surface roughness (Ra) and maximum peak-to-valley height (Rz) can be up to 396% and 395%, the recurrence rate can decrease more than 59%, and the ratio between the minimum and maximum values of the fractal dimension can be 77% after 1.42 million running revolutions. Further analysis showed that the three methods all reflected the raceway wear dependence on the number of revolutions, and the linear correlation of the fractal dimension method with the number of revolutions was the strongest, which provides a new way to predict the wear states of ball screws by monitoring the worn states of the raceway surface profiles.
publisherThe American Society of Mechanical Engineers (ASME)
titleWear Characterization of Raceway Surface Profiles of Ball Screws
typeJournal Paper
journal volume144
journal issue11
journal titleJournal of Tribology
identifier doi10.1115/1.4054319
journal fristpage111701-1
journal lastpage111701-13
page13
treeJournal of Tribology:;2022:;volume( 144 ):;issue: 011
contenttypeFulltext


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