Optimization of tribological parameters over WC-12%Co laser alloyed pearlitic ductile iron using Taguchi based Grey relational analysis

  • N. Jeyaprakash*
  • , Che hua Yang
  • , Sheng po Tseng
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

15 Scopus citations

Abstract

Pearlitic ductile irons (PDIs) are used in transportation and nuclear energy industries. In heavy loading situation, the service life of PDI is affected by numerous tribo aspects. In this study, surface of the PDI is alloyed with WC-12%Co powder using a high power fibre laser. The wear properties of the base material and laser alloying samples were investigated by tribometer with various parameters, i.e., temperature, load and sliding speed. Based on experimental test, the load has maximum percentage of contribution and followed by sliding speed and working temperature. The optimized tribological parameters by Grey relational analysis (GRA) were established and those values are closely matched with predicted values. Besides, base material and laser alloying surfaces were examined through Vickers hardness machine, scanning electron microscopy (SEM) and roughness tester. The laser altered specimen shows no defects and improves the wear properties than substrates. The identified optimal tribological parameters are load of 30 N, speed of 0.5 m/s and working temperature of 300 °C, and load of 30 N, speed of 0.5 m/s and working temperature of 200 °C for base metal and laser alloying samples, respectively.

Translated title of the contribution基于Taguchi灰色关联分析 WC-12%Co 激光合金化珠光体球墨铸铁的
Original languageEnglish
Pages (from-to)736-751
Number of pages16
JournalJournal of Central South University
Volume27
Issue number3
DOIs
StatePublished - 01 03 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Central South University Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Keywords

  • Grey technique
  • WC-12%Co
  • analysis of variance
  • laser alloying
  • microstructure
  • optimization
  • roughness
  • wear resistance

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