Statistics-Based Correction to Measurements of Hardness of Rough Surfaces by Instrumented Indentation
- 作者: Maslenikov I.I.1, Useinov A.S.1, Kravchuk K.S.1, Kostsova A.A.1, Reshetov V.N.2
- 
							隶属关系: 
							- Technological Institute for Superhard and Novel Carbon Materials
- Moscow Engineering and Physics Institute
 
- 期: 卷 60, 编号 11 (2018)
- 页面: 2259-2263
- 栏目: Mechanical Properties, Physics of Strength, and Plasticity
- URL: https://journal-vniispk.ru/1063-7834/article/view/204363
- DOI: https://doi.org/10.1134/S1063783418110203
- ID: 204363
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Abstract—A procedure for correcting hardness data measured on rough surfaces using instrumented indentation is presented. The correction procedure relies on the knowledge of surface topography, which can be obtained by atomic force microscopy or other appropriate instrumental technique. The analyzed surface is characterized by the standard deviation of height distribution and an autocorrelation function. The latter is proposed to be modeled with an exponential function with either a quadratic or linear exponent.
作者简介
I. Maslenikov
Technological Institute for Superhard and Novel Carbon Materials
							编辑信件的主要联系方式.
							Email: i.i.maslenikov@gmail.com
				                					                																			                												                	俄罗斯联邦, 							TroitskMoscow						
A. Useinov
Technological Institute for Superhard and Novel Carbon Materials
														Email: i.i.maslenikov@gmail.com
				                					                																			                												                	俄罗斯联邦, 							TroitskMoscow						
K. Kravchuk
Technological Institute for Superhard and Novel Carbon Materials
														Email: i.i.maslenikov@gmail.com
				                					                																			                												                	俄罗斯联邦, 							TroitskMoscow						
A. Kostsova
Technological Institute for Superhard and Novel Carbon Materials
														Email: i.i.maslenikov@gmail.com
				                					                																			                												                	俄罗斯联邦, 							TroitskMoscow						
V. Reshetov
Moscow Engineering and Physics Institute
														Email: i.i.maslenikov@gmail.com
				                					                																			                												                	俄罗斯联邦, 							Moscow						
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