Steel nitriding optimization through multi-objective and FEM analysis | Zendy

Pasquale Cavaliere | Zendy; Angelo Perrone | Zendy; Alessio Silvello | Zendy

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Steel nitriding optimization through multi-objective and FEM analysis

Author(s) -

Pasquale Cavaliere,

Angelo Perrone,

Alessio Silvello

Publication year - 2015

Publication title -

journal of computational design and engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.764

H-Index - 24

eISSN - 2288-5048

pISSN - 2288-4300

DOI - 10.1016/j.jcde.2015.08.002

Subject(s) - nitriding , materials science , hardening (computing) , metallurgy , process (computing) , finite element method , case hardening , quenching (fluorescence) , process optimization , microstructure , mechanical engineering , structural engineering , engineering , hardness , composite material , computer science , layer (electronics) , physics , quantum mechanics , environmental engineering , fluorescence , operating system

teel nitriding is a thermo-chemical process leading to surface hardening and improvement in fatigue properties. The process is strongly influenced by many different variables such as steel composition, nitrogen potential, temperature, time, and quenching media. In the present study, the influence of such parameters affecting physic-chemical and mechanical properties of nitride steels was evaluated. The aim was to streamline the process by numerical–experimental analysis allowing defining the optimal conditions for the success of the process. Input parameters–output results correlations were calculated through the employment of a multi-objective optimization software, modeFRONTIER (Esteco). The mechanical and microstructural results belonging to the nitriding process, performed with different processing conditions for various steels, are presented. The data were employed to obtain the analytical equations describing nitriding behavior as a function of nitriding parameters and steel composition. The obtained model was validated, through control designs, and optimized by taking into account physical and processing conditions

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