Author ORCID Identifier
https://orcid.org/0000-0002-2701-9305
Date of Award
21-5-2025
Document Type
Thesis
School
School of Mechanical Engineering
Programme
Ph.D.-Doctoral of Philosophy
First Advisor
Dr.P.Dinesh Babu
Keywords
Laser Cladding, Box-Behnken Design, Optimisation, Microhardness, Response Surface Methodology, Microstructure, Residual stress, Wear, Corrosion, CrNiW, CrNiFeAlZr
Abstract
In this work, laser cladding on H13 steel substrate with two different powder compositions CrNiW and CrNiFeAlZr has been carried out. The laser power, powder feed rate, and scanning speed were varied and the clad dimensions, aspect ratio, and dilution percentage were measured. The microhardness found in the CrNiW clad is 834 ± 20 HV0.5, which is higher than that of the CrNiFeAlZr clad (780 ± 20 HV0.5) as well as the substrate (548 ± 20 HV0.5).
The X-ray Diffraction (XRD) patterns identified the common phase creation of Ni3C and Fe3C for CrNiFeAlZr and CrNiW coatings, while the oxide formation was only noticed in CrNiFeAlZr coatings and the addition of carbon content in the CrNiW clad layer forms WC, Cr23C6, Ni3C, and Fe3C. A response surface methodology with a Box–Behnken design is used in the optimisation process.
The optimal deposition conditions were acquired for corrosion, wear, and residual stress study. Compared to the H13 steel substrate, the cladded samples exhibited significantly lower coefficient of friction and superior wear resistance. Furthermore, increased corrosion resistance was achieved by both clad specimens in a 3.5% NaCl solution.
The clad specimens had a higher Ecorr value than the substrate. In contrast, the icorr value of the clad was lower than base metal. The compressive residual stress that was produced on the surface of clad specimens was caused by the difference in the substrate and surface cooling rates during the cladding process.
Recommended Citation
S, Martin Vinoth Mr, "Experimental Characterisation of Laser Cladding of CrNiW and CrNiFeAlZr Powders on H13 Tool Steel and Optimisation of Process Parameters" (2025). Theses and Dissertations. 58.
https://knowledgeconnect.sastra.edu/theses/58