NUMERICAL MODELING OF WC-12% Co LASER ALLOYED CAST IRON IN HIGH TEMPERATURE SLIDING WEAR CONDITION USING RESPONSE SURFACE METHODOLOGY

N. Jeyaprakash, Muthukannan Duraiselvam and S. V. Aditya
Additional contact information
N. Jeyaprakash: Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India
Muthukannan Duraiselvam: Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India
S. V. Aditya: Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, Tamil Nadu, India

Surface Review and Letters (SRL), 2018, vol. 25, issue 07, 1-19

Abstract: The wear behavior of untreated and WC-12% Co laser alloyed nodular cast iron samples were analyzed using a high temperature pin-on-disc tribometer. Response surface methodology (RSM) based Box–Behnken technique was employed to minimize the sum of trials and to develop a mathematical model for the input process parameters namely sliding velocity, temperature and load. The interaction effects of the process parameters were investigated using the developed model. Further, the developed model was analyzed using analysis of variance. Scanning electron microscopy and energy dispersive spectrum were used for characterization. Laser alloyed samples showed a minimum wear rate (0.3379×10−3 to 0.9537×10−3mm3/m) and friction coefficient (0.10 to 0.39) compared to untreated samples. The results of the validation test showed that the experimental results agreed well with predicted results of the developed mathematical model.

Keywords: Laser surface alloying; wear; microhardness; response surface methodology; analysis of variance (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0218625X19500094
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:srlxxx:v:25:y:2018:i:07:n:s0218625x19500094

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0218625X19500094

Access Statistics for this article

Surface Review and Letters (SRL) is currently edited by S Y Tong

More articles in Surface Review and Letters (SRL) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().