Vacuum oxy-nitro carburizing of tool steels: Structure and mechanical reliability

Maria Nikolova*, Danail Nikolov, Emil Yankov, Bora Derin, Slavcho Topalski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

AISI H10, H11, H21, and D2 have been vacuum oxy-nitrocarburizing at 570 °C in cycling gas flow manner. Metastable diagram calculations belonging to Fe-N-C and Fe-N-C-X systems (X = Cr, Mo, W), have been performed by using “phase diagram” module of FactSageto predict the steels’ phase compositions. The reactive diffusion of both N and C into the tempered martensite has been discussed on the base of different chemical composition, size, and distribution of phases in the microstructure. The compound layers consisted mainly of not pre-saturated and poreless ε-carbonitride and magnetite (Fe3O4). In D2 steel, nitrogen diffusion caused a complete transformation of the primary carbides in 50 μm depths from the surface affecting the growth of grain boundary carbides. In contrast to the sharp compound/diffusion layer interface of H10, H11, and D2 steels, in H21 carbon and nitrogen were deeply absorbed in the diffusion layer while chromium strongly increased underneath the surface. The vacuum process enhanced the hardness and decreased the friction coefficients down to 0.13-0.15 at 100 N normal load for all samples. Since the compound layer thickness was relatively small for all tool steels, the phase composition and structure of the diffusion layers were found to be crucial for the scrat ch wear performance.

Original languageEnglish
Pages (from-to)5-18
Number of pages14
JournalIndian Journal of Engineering and Materials Sciences
Volume27
Issue number1
Publication statusPublished - Feb 2020

Bibliographical note

Publisher Copyright:
© 2020, National Institute of Science Communication and Information Resources (NISCAIR). All rights reserved.

Keywords

  • GDOES
  • Microhardness
  • Phase composition
  • Scratch test
  • SEM
  • Thermochemical modeling

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