
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.
| 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). | 22 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
