Effect of Lubrication on the Wear Resistance of Plasma Sprayed Composite Coatings (Al2O3+ZrO2∙5CaO)
Journal: Tribology in Industry (Vol.42, No. 1)Publication Date: 2020-03-15
Authors : Abhinav R. Ribeirio N. Bodra B. Goala R. Raghav A. Vardhan Mahaboob Ali;
Page : 50-58
Keywords : Ceramic coatings; Lubricant; Abrasive wear;
Abstract
Tribological investigations were carried out as per ASTM G134 standard, on plasma sprayed composite coatings (Al2O3+ZrO2·5CaO), under dry and wet abrasive conditions. 20W40 lubricating engine oil was used as a lubricant. Experiments were carried out under normal loads of 10, 15, & 20N, and at a rotational speed of 200 rpm. Scanning Electron Microscopy was used to study the surface characteristics of the as-sprayed and worn out topcoat. Results obtained from the SEM analysis revealed that abrasive wear was mainly governed by third-body abrasion (twinning effect) under dry abrasive conditions. A significant drop in wear rate was realized under the wet lubricated condition, between 10 and 15 N normal loads and a rise in wear rate was observed above 15 N normal load. At higher load, the lubrication was not very effective. At higher loads, It was also observed that the connection between grains improved leading to reduced micro porosity. This caused less abrasion and greater sliding. Experimental data obtained in this work is of good engineering significance as it can be applied to various engineering applications viz. internal combustion engines, cutting tools, etc.
Other Latest Articles
- Study on the Friction and Wear Characteristics of Bio-lubricant Synthesized from Second Generation Jatropha Methyl Ester
- Optimization of Cutting Parameters for MRR, Tool Wear and Surface Roughness Characteristics in Machining ADC12 Piston Alloy Using DOE
- Performance Evaluation of Internal Combustion Engine Under Noise Measurements an Experimental and Analytical Procedure
- Machine Learning Approaches to Predict the Hardness of Cast Iron
- An efficient ICKM approach for similarity measurement and distance estimation based on k-means
Last modified: 2020-04-25 18:08:58