Multi-objective optimization of steel nitriding

被引：23

作者：

Cavaliere, P. ^{[1
]}

Perrone, A. ^{[1
]}

Silvello, A. ^{[1
]}

机构：

[1] Univ Salento, Dept Innovat Engn, Via Arnesano, I-73100 Lecce, Italy

来源：

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH | 2016年 / 19卷 / 01期

关键词：

Nitriding; Mechanical properties; Optimization;

D O I：

10.1016/j.jestch.2015.07.004

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Steel nitriding is a thermo-chemical process largely employed in the machine components production to solve mainly wear and fatigue damage in materials. The process is strongly influenced by many different variables such as steel composition, nitrogen potential (range 0.8-35), temperature (range 350-1200 degrees C), time (range 2-180 hours). In the present study, the influence of such parameters affecting the nitriding layers' thickness, hardness, composition and residual stress was evaluated. The aim was to streamline the process by numerical-experimental analysis allowing to define the optimal conditions for the success of the process. The optimization software that was used is modeFRONTIER (Esteco), through which was defined a set of input parameters (steel composition, nitrogen potential, nitriding time, etc.) evaluated on the basis of an optimization algorithm carefully chosen for the multi-objective analysis. 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. (C) 2015, Karabuk University. Production and hosting by Elsevier B.V.

引用

页码：292 / 312

页数：21

共 22 条

[1] Evaluation of gas nitriding process with in-process variation of nitriding potential for AISI H13 tool steel [J].

Akhtar, S. S. ;

Arif, A. F. M. ;

Yilbas, Bekir Sami .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2010, 47 (5-8) :687-698

[2] Influence of multiple nitriding on the case hardening of H13 tool steel: experimental and numerical investigation [J].

Akhtar, Syed Sohail ;

Arif, Abul Fazal M. ;

Yilbas, Bekir Sami .

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2012, 58 (1-4) :57-70

[3] Linear stability analysis of a γ′-Fe4N nitride layer growing in pure iron [J].

Appolaire, Benoit ;

Goune, Mohamed .

COMPUTATIONAL MATERIALS SCIENCE, 2006, 38 (01) :126-135

[4] Effect of process variables on gas nitriding of H13 tool steel with controlled nitriding potential [J].

Arif, A. F. M. ;

Akhtar, S. S. ;

Yilbas, B. S. .

INTERNATIONAL JOURNAL OF SURFACE SCIENCE AND ENGINEERING, 2010, 4 (4-6) :396-415

[5] FEM and multi-objective optimization of steel case hardening [J].

Cavaliere, P. ;

Perrone, A. ;

Silvello, A. .

JOURNAL OF MANUFACTURING PROCESSES, 2015, 17 :9-27

[6] Modeling of the carburizing and nitriding processes [J].

Cavaliere, P. ;

Zavarise, G. ;

Perillo, M. .

COMPUTATIONAL MATERIALS SCIENCE, 2009, 46 (01) :26-35

[7] Modeling of nitride layer formation during plasma nitriding of iron [J].

Dimitrov, VI ;

D'Haen, J ;

Knuyt, G ;

Quaeyhaegens, C ;

Stals, LM .

COMPUTATIONAL MATERIALS SCIENCE, 1999, 15 (01) :22-34

[8] Microstructural evolution during nitriding, finite element simulation and experimental assessment [J].

Hassani-Gangaraj, S. M. ;

Guagliano, M. .

APPLIED SURFACE SCIENCE, 2013, 271 :156-163

[9]

Ju H., 2011, J FUNCT MAT, V42, P405

[10] Computer simulation of nitrided layers growth for pure iron [J].

Keddam, M ;

Djeghlal, ME ;

Barrallier, L ;

Salhi, E .

COMPUTATIONAL MATERIALS SCIENCE, 2004, 29 (01) :43-48

← 1 2 3 →