@ARTICLE{Jeyaprakash_N._Modelling_2018, author={Jeyaprakash, N. and Duraiselvam, M. and Raju, R.}, volume={vol. 63}, number={No 3}, journal={Archives of Metallurgy and Materials}, pages={1303-1315}, howpublished={online}, year={2018}, publisher={Institute of Metallurgy and Materials Science of Polish Academy of Sciences}, publisher={Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences}, abstract={The wear behaviour of Cr3C2-25% NiCr laser alloyed nodular cast iron sample were analyzed using a pin-on-disc tribometer. The influence of sliding velocity, temperature and load on laser alloyed sample was focused and the microscopic images were used for metallurgical examination of the worn-out sites. Box-Behnken method was utilised to generate the mathematical model for the condition parameters. The Response Surface Methodology (RSM) based models are varied to analyse the process parameters interaction effects. Analysis of variance was used to analyse the developed model and the results showed that the laser alloyed sample leads to a minimum wear rate (0.6079×10–3 to 1.8570×10–3 mm3/m) and coefficient of friction (CoF) (0.43 to 0.53). From the test results, it was observed that the experimental results correlated well with the predicted results of the developed mathematical model.}, type={Artykuły / Articles}, title={Modelling of Cr3C2-25% NiCr Laser Alloyed Cast Iron in High Temperature Sliding Wear Condition Using Response Surface Methodology}, URL={http://www.czasopisma.pan.pl/Content/108008/AMM-2018-3-28-Duraiselvam.pdf}, doi={10.24425/123805}, keywords={Laser Surface Alloying (LSA), wear, microhardness, Analysis of Variance (ANOVA), Response surface methodology (RSM)}, }