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Rough Surface Characterization Parameter Set and Redundant Parameter Set for Surface Modeling and Performance Research. | LitMetric

Rough Surface Characterization Parameter Set and Redundant Parameter Set for Surface Modeling and Performance Research.

Materials (Basel)

Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material, Hunan University of Science and Technology, Xiangtan 411199, China.

Published: August 2022


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Article Abstract

Among the 26 roughness parameters described in ISO 25178 standard, the parameters used to characterize surface performance in characterization parameter set () lack scientificity and unity, resulting in application confusion. The current comes from empirical selection or small sample experiments, thus featuring low generality. A new method for constructing in rough surfaces is proposed to solve the above issues. Based on a data mining method, statistical theory, and roughness parameters definitions, the 26 roughness parameters are divided into and redundant parameter sets () with the help of reconstructed surfaces and machining experiments, and the mapping relationships between and are established. The research shows that accounts for 50%, and , of great significance for surface performance, and has the ability to fully cover surface topography information. The birth of provides an accurate parameter set for the subsequent study of different surface performance, and it provides more effective parameters for evaluating the workpiece surface performance from the same batch.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9457287PMC
http://dx.doi.org/10.3390/ma15175971DOI Listing

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