An empirical-statistical model for laser cladding of WC-12Co powder on AISI 321 stainless steel

  • Mohammad Erfanmanesh
  • , Hassan Abdollah-Pour
  • , Hamidreza Mohammadian-Semnani
  • , Reza Shoja-Razavi

Research output: Journal PublicationArticlepeer-review

142 Citations (Scopus)

Abstract

In this study, laser cladding of WC-12Co powder on AISI 321 steel substrate was optimized using an empirical-statistical viewpoint. The correlations that exist between key parameters of the process (i.e., laser power, scanning speed, powder feeding rate) and geometrical characteristics for single clads (i.e. height, width, dilution, and wetting angle) were predicted and analyzed by regression method (RA). The preliminary geometrical considerations allowed to choose the processing parameters which led to high quality clads with minimum porosity. All considerations finally resulted in the development of a processing map that shows the optimum parameters for laser cladding process of WC-12Co powder on AISI 321 stainless steel.

Original languageEnglish
Pages (from-to)180-186
Number of pages7
JournalOptics and Laser Technology
Volume97
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

Free Keywords

  • Laser cladding
  • Optimization
  • Regression
  • WC-Co powder

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'An empirical-statistical model for laser cladding of WC-12Co powder on AISI 321 stainless steel'. Together they form a unique fingerprint.

Cite this