Abrasive Wear Mechanisms of S235JR, S355J2, C45, AISI 304, and Hardox 500 Steels Tested Using Garnet, Corundum and Carborundum Abrasives

Abstract

many studies have been related to wear [1][2][3][4], primarily focusing on anti-wear surface treatment or new materials/coatings selection for anti-wear applications [5,6]. The effect of variable factors such as size, shape and type of abrasive, sliding distance, sliding velocity, the magnitude of applied load, ambient temperature, impact angle, abrasive feed rate etc., were studied on wear resistance of materials. Even though it is generally believed that the abrasion resistance of steels depends on their hardness, microstructure (e.g. martensite and retained austenite fraction), morphology, grain size, etc. [7, 8], the change of abrasive material can seriously affect the wear mechanism and overall steel abrasion resistance. Albertin and Sinatora [9] conducted their studies with three different types of abrasive (phosphate rock, hematite, quartz) and with different ferrous material microstructures (martensite, austenite, pearlite) of high chromium white cast irons. The authors showed that the abrasion wear resistance of martensite was higher than austenite and

Experimental Investigation of Tribology-Related Topography Parameters of Hard-Turned and Ground 16MnCr5 Surfaces

“…Functionality and tribology-related analysis of surface texture and roughness is challenging; it is recommended to analyze several parameters parallelly to obtain the most exact and generalizable information about the important surface characteristics [52,53]. This was confirmed by Szala et al, who compared the wear resistance of several types of material grades [54]. It is recommended to use 3D topography analysis techniques in research and development due to their high accuracy [55].…”

Metallic and Ceramic Materials Integrity—Surface Engineering for Wear, Corrosion and Erosion Prevention

“…The engineering industry is demanding ceramic-and metal-based structures that perform well in terms of wear, corrosion and erosion environments or optimally in all [9][10][11]. First, to manage that task, material wear mechanisms should be understood [12][13][14]. Computer simulation, numerical calculations or artificial neural networks can be employed to facilitate the selection and design of wear-resistant materials [15][16][17].…”