Simulation of axi-symmetrical cold forging process by efficient pseudo inverse approach and direct algorithm of plasticity

Halouani, Ali; Li, Yuming; Abbès, Boussad; Guo, Ying

doi:10.1016/j.finel.2012.06.011

Cited by 10 publications

(3 citation statements)

References 13 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a cold forging simulation, J 2 elasto-plasticity is classically adopted, along with an isotropic hardening model [5], [21], [22]. Rate and temperature effects may also be introduced for some applications, although these were not considered in this investigation.…”

Section: Parameter Identification Proceduresmentioning

confidence: 99%

Direct usage of the wire drawing process for large strain parameter identification

et al. 2018

View full text Add to dashboard Cite

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

show abstract

Section: Parameter Identification Proceduresmentioning

confidence: 99%

Direct usage of the wire drawing process for large strain parameter identification

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Although the method could provide results quickly, the accuracy of the predicted stress and strains were directly related to the predicted initial shape used and relatively poor compared to the forward analyses. A multi-step version of the same method named Pseudo Inverse Approach (PIA) was introduced later in both sheet metal forming [19] and axisymmetric cold forging [20]. The PIA has been able to keep some of the advantages of IA with respect to computational effort while having a better accuracy.…”

Section: Introductionmentioning

confidence: 99%

Thermo-viscoplastic numerical modeling of metal forging process by Pseudo Inverse Approach

Thomas

Abbès

et al. 2020

Mechanics & Industry

Self Cite

View full text Add to dashboard Cite

Constant demands of light-weighting have forced many industries to resort to manufacturing practices that promise a component with a higher strength-to-weight ratio. Hot forging is one such method used to produce parts using difficult-to-form materials as well as to achieve complex geometries. Although numerical methods provide an efficient means to predict the material yield and the stress/strain states of the product at different stages of forming and classical methods are accurate enough to provide a suitable representation of the process, they tend to be computationally expensive. This limits their use in process optimization studies. The Pseudo Inverse Approach (PIA) developed in the context of 2D axisymmetric cold forming, provides a quick and fairly accurate estimate of the stress and strain fields in the final product for a given initial shape. In this work, the PIA is extended to include the thermal and viscoplastic effects associated with the hot forging process. The results are compared with commercially available software based on the classical approaches to show the efficiency and the limitations of PIA.

show abstract

“…The PIA has been developed to improve the stress estimation Halouani et al 2012a). Some intermediate configurations are geometrically created and mechanically corrected to take into account the deformation paths.…”

Section: Introductionmentioning

confidence: 99%

Damage Prediction in Metal Forming Process Modeling and Optimization: Simplified Approaches

Guo¹,

Li²,

Abbès³

et al. 2013

Handbook of Damage Mechanics

Self Cite

View full text Add to dashboard Cite

Some simplified numerical methods for damage predictions in metal forming process modeling and optimization are presented in this chapter. The incremental approaches including advanced damage models lead to accurate results, but the simulations are tedious and time-consuming. An efficient solving algorithm called inverse approach (IA) allows the fast modeling of forming processes in only one step between the known final part and the initial blank, avoiding the contact treatment and the incremental plastic integration. To improve the stress estimation in the IA, the so-called pseudoinverse approach (PIA) has been developed. Some intermediate configurations are geometrically created and corrected by a free surface method to consider the deformation path, and the plastic integration based on the flow theory is carried out incrementally to consider the loading history. A simplified 3D strain-based damage model is coupled with the plasticity and implemented into a direct scalar integration algorithm of plasticity (without local iterations), which makes the plastic integration very fast and robust even for very large strain increments. These simplified approaches lead to very fast and useful numerical tools in the preliminary design and optimization.

show abstract

Simulation of axi-symmetrical cold forging process by efficient pseudo inverse approach and direct algorithm of plasticity

Cited by 10 publications

References 13 publications

Direct usage of the wire drawing process for large strain parameter identification

Direct usage of the wire drawing process for large strain parameter identification

Thermo-viscoplastic numerical modeling of metal forging process by Pseudo Inverse Approach

Damage Prediction in Metal Forming Process Modeling and Optimization: Simplified Approaches

Contact Info

Product

Resources

About