Modeling of Abraded Surface Roughness and Wear Resistance of Aluminum Matrix Composites

Abstract

Tribological characterizations of composites are primarily focused on the evaluation of wear resistance (WR) and/or the coefficient of friction, although roughness of abraded surfaces (RASs) is one of the key factors that also determines tribo-performances. This study is aimed at modeling RAS in conjunction with WR considering experimental results of Al-matrix/alumina composites performed under two-body abrasion following the central composite design method. Influences of different in situ and ex situ parameters on tribo-responses were analyzed and modeled using analysis of variance, the response surface method, and multi-response optimization. The WR of the selected system was maximized at around 15 wt% alumina at which RAS was also the highest. The positive role of reinforcement on WR and its adverse effect on RAS were explained by micro-mechanisms of abrasion.

Modelling of tribological responses of composites using integrated ANN-GA technique

“…, height gap from the crest of hill to the base of valley) because of ceramics protruding ardently from adjacent decaying matrix and thus, larger RAS over alloy. 18,35 Scratches on worn alloy surface were nearly uniform in attribute and regular by virtue of its homogenous microstructure as opposed to composite. 33 For 10CM, surface profile exhibited the extremity of irregularities generating highest RAS (Ra = 2.34 µm) followed by that of 20CM (Ra = 2.10 µm) and BA (Ra = 1.10 µm).…”

“…Abraded surface profiles were examined by a non-contact profilometer (1401, Rtec, USA). 35 Roughness of abraded surface (RAS) was expressed in term of Ra which is defined as arithmetic average of the absolute values of the profile height deviations from centre line. 41 Average of five Ra values measured at five different spots on surface was considered.…”

“…Overall number of wear tests considered for this purpose was three hundred and fifty two (352); details of those tests were reported elsewhere. 33–37…”

“…Subsequently, ANN based models for W rt , COF and RAS were developed considering generated experimental results and those reported elsewhere. 33–37 The developed ANNs models were employed as objective functions for multi-objective optimization through GA methodology. Finally, the criteria for designing improved DPAMCs as well as to indicate applicable tribo-conditions were emphasized and experimentally validated.…”

Improving the Tribological Performance of MAO Coatings by Using a Stable Sol Electrolyte Mixed with Cellulose Additive

“…Typically, aluminum alloys exhibit poor tribological performances when they come into contact with other metal materials. This is ascribed to severe adhesive wear, plastic deformation and metallic wear [6]. Consequently, surface modification approaches are indispensable when it comes to enhancing the tribological performances of aluminum alloys.…”