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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Engineering Structur...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Engineering Structures
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Modeling methods for gas quenching, low-pressure carburizing and low-pressure nitriding

Authors: Emilia Wołowiec-Korecka;

Modeling methods for gas quenching, low-pressure carburizing and low-pressure nitriding

Abstract

Abstract Modern thermal and thermochemical treatment of steels is a rapidly growing research area. Thermochemical processes are researched, designed, optimized, and controlled by computer-aided methods. The goal of the present paper is to provide a comprehensive state-of-the-art review and to analyze the critical mass of knowledge in the field of modeling methods to describe the interactions between the processing, microstructure and postoperative properties of the treated material. This article briefly discusses modern low-pressure thermochemical processes to describe the difficulties in modeling their non-equilibrium nature and transient states that occur in the course of the processes. A synthetic review of modeling methods, in particular, artificial intelligence methods, is presented to investigate low-pressure thermochemical processes. The opportunities and dangers associated with these methods are also analyzed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average
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