Material model selection for numerical crankshaft deep rolling process simulation Instituto Tecnológico de Aeronáutica

Format:

Book

Conference/Event

Author/Creator:

Fonseca, Luiz Aun, author.

Contributor:

de Faria PhD, Alfredo Rocha

Jahed, Hamid

Montesano PhD, John

Conference Name:

WCX SAE World Congress Experience (2020-04-21 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2020

Summary:

Residual stress prediction arising from manufacturing processes provides paramount information for the fatigue performance assessment of components subjected to cyclic loading. The determination of the material model to be applied on the numerical model should be taken carefully. This study focus on the estimation of residual stresses generated after deep rolling of cast iron crankshafts. The researched literature on the field employs the available commercial material codes without closer consideration on their reverse loading capacities. To mitigate this gap, a single element model was used to compare potential material models with tensile-compression experiments. The best fit model was then applied to a previously developed crankshaft deep rolling numerical model. In order to confront the simulation outcomes, residual stresses were measured in two directions with real crankshaft specimens that passed through the same modeled deep rolling process. Electrolytic polishing was used to etch the region of interest and enable in-depth residual stress analysis through X-ray diffraction method. The comparison revealed the model's ability to follow the residual stress state tendency, predicting compressive stresses at the surface, a subsurface peak and eventual transition to the tractive state. Magnitude discrepancies were discussed and hypotheses related to the specimen preparation procedure were raised. Overall, the activities described in this study yielded in a model's confidence increase, which further enables its usage into the crankshaft design stage

Notes:

Vendor supplied data

Publisher Number:

2020-01-1078

Access Restriction:

Restricted for use by site license