A numerical–analytical approach to predict high cycle fatigue performance of finish machined AISI 316L steel

This paper presents a new approach to predict the effects of machining-induced surface integrity on the high cycle fatigue (HCF) behavior of the AISI 316L material. An exhaustive numerical–analytical method is developed based on three main steps: (i) development of a 3D finite element model (FEM) of...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2018-02, Vol.94 (5-8), p.2003-2015
Main Authors: Grissa, R., Zemzemi, F., Seddik, R., Fathallah, R.
Format: Article
Language:English
Subjects:
Austenitic stainless steels
CAE) and Design
Computer-Aided Engineering (CAD
Cutting parameters
Cutting resistance
Engineering
Fatigue strength
Finite element method
High cycle fatigue
Industrial and Production Engineering
Mathematical models
Mechanical Engineering
Media Management
Original Article
Residual stress
Three dimensional models
Turning (machining)
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Summary:This paper presents a new approach to predict the effects of machining-induced surface integrity on the high cycle fatigue (HCF) behavior of the AISI 316L material. An exhaustive numerical–analytical method is developed based on three main steps: (i) development of a 3D finite element model (FEM) of a finished longitudinal turning operation based on the hybrid modeling of cutting; (ii) prediction of the surface conditions affecting the fatigue strength: the residual stresses, the Von Mises equivalent plastic strains, and the superficial damage; and (iii) prediction of the HCF performance by considering the computed surface conditions. The obtained results are in good accordance with the available experimental investigations and are physically consistent. This proposed approach can be used to predict the effects of the other cutting parameters on the fatigue resistance.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-017-1024-4