Roughness modeling for polishing an aero-engine blade with an abrasive cloth wheel
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DOI 10.1007/s12206-020-0728-9
Journal of Mechanical Science and Technology 34 (8) 2020 Original Article DOI 10.1007/s12206-020-0728-9 Keywords: · Roughness · Contact arc lengths · Mathematical model
Correspondence to: Chao Xian [email protected]
Citation: Xian, C., Shi, Y., Lin, X., Liu, D. (2020). Roughness modeling for polishing an aero-engine blade with an abrasive cloth wheel. Journal of Mechanical Science and Technology 34 (8) (2020) ?~?. http://doi.org/10.1007/s12206-020-0728-9
Roughness modeling for polishing an aero-engine blade with an abrasive cloth wheel Chao Xian, Yaoyao Shi, Xiaojun Lin and De Liu Laboratory of Aero-Engine High Performance Manufacturing, Northwestern Polytechnical University, Xi’an 710072, China
Abstract
Roughness is a crucial factor that determines workpiece quality. In this paper, the time-domain signals of polishing force for polishing an aero-engine blade with an abrasive cloth wheel were experimentally obtained, and the contact arc lengths were determined based on these signals. A mathematical model for the representative Ra of blade surface roughness after polishing was then established, and this model is only related to the contact arc length. This model was experimentally verified, and the prediction results agree well with the measurement results.
Received January 18th, 2020 Revised
May 9th, 2020
Accepted May 30th, 2020 † Recommended by Editor Hyung Wook Park
© The Korean Society of Mechanical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2020
1. Introduction Surface roughness is an essential parameter for characterizing the surface quality of machined parts that directly affects the service performance of these parts, including their wear resistance, fatigue resistance, corrosion resistance, and matching properties. The methods for directly determining roughness value can be classified into contact and non-contact measurement methods, of which the former can be subdivided into optical measuring and acoustic emission methods. Many scholars have theoretically studied the formation mechanism of roughness. For instance, in 1970, Whitehouse and Arcard et al. [1] examined the height distribution of machined surfaces and experimentally proved that such distribution meets the characteristics of the Gauss distribution function. Their study is also the first to use mathematical functions to analyze the theoretical model of machined surface morphology characteristics. They performed a computer simulation to establish a mathematical model of surface roughness for surfaces with specified random characteristics, and this model lays a solid theoretical foundation for quantitatively analyzing machined surface roughness [2]. By performing a kinematic analysis, Tonshoff et al. [3] developed a theoretical model of chip thickness and analyzed its relationship with surface roughness. Hecker and Liang [4] introduced a model of undeformed chip thickness and assumed that the undeformed chip thickness produced in the grinding process is randomly distributed. Based
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