Influence of operating parameters on the silt erosion performance of bare and coated SS304 steel

Abstract

Purpose

The purpose of this paper is to investigate the silt erosion performance of Bare, 75%Cr₂O₃ + 25%Al₂O₃ and 85%Cr₂O₃ + 15Al₂O₃-coated SS304 under various control parameters such as rotation speed, concentration of silt and particle size of silt used for making slurry. This can provide insight for using chromia and alumina-based coatings for hydro-turbines.

Design/methodology/approach

Taguchi approach was used to identify the effect of three input parameters on the bare and coated alloys. L₁₆ orthogonal array is used for determining the signal-to-noise (S/N) ratio for each process parameter. For each level of parameters taken into consideration about the erosion wear, the arithmetic mean of the S/N ratio is calculated. On the essence of the results of S/N ratios, it is possible to determine the effect of the most dominating parameters of the erosion wear.

Findings

Results show that the erosion increases with an increase in silt concentration (Wt.%). It has been analyzed that the rotational speed has the most significant effect followed by the particle size and concentration on erosion wear for all uncoated and coated SS-304 samples. Maximum resistance to erosion is provided by 85%Cr₂O₃ + 15%Al₂O₃. The least erosion wear for process parameters has occurred at the optimal parametric combination of rotational speed (N) = 415 rev/min, concentration (C) = 15 Wt.% and particle size range as <53 µm for uncoated and coated stainless steel.

Originality/value

The study clearly shows the silt erosion performance of chromia and alumina coatings of different compositions at different input parameters.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-01-2024-0028/

Citation

Kumar, R., Kumar, S. and Mudgal, D. (2024), "Influence of operating parameters on the silt erosion performance of bare and coated SS304 steel", Industrial Lubrication and Tribology, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/ILT-01-2024-0028