Comparative study of the prediction of microstructure and mechanical properties for a hot-stamped B-pillar reinforcing part

Bok, Hyun-Ho; Lee, Myoung‐Gyu; Pavlina, Erik J.; Barlat, Frédéric; Kim, Hoon-Dong

doi:10.1016/j.ijmecsci.2011.06.006

Cited by 79 publications

(21 citation statements)

References 5 publications

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“…And the final shape and dimension of part mainly depends on the hot forming stage. In the hot forming process, the flow stress of material has an apparent dependence on temperatures, In addition, the high strain rate sensitivity of LCP plate flow stress was observed and it reveals that the final properties of hot stamped component will be also impaired by punch speed [8][9][10][11]. So the high-temperature constitutive equation of LCP plate is the indispensable mathematical model for numerical simulation of hot stamping, and it reflects the relationship between the flow stress and strain, strain rate and the temperature.…”

Section: High Temperature Constitutive Equation Of Lcp Platementioning

confidence: 99%

Evaluating formability of LCP plate for sacral fractures with one step inverse forming finite element analysis

Zhang

et al. 2015

BME

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Abstract. The locking compression plate fixation treatment for the unstable sacral fractures is simple and effective, with less trauma and complications. Some locking compression plate parts have been made of high-strength Plate manufactured by hot stamping process since the demand for lightweight biomedical materials. Finite Element (FE) method of One-Step inverse forming based on deformation theory is the tool to evaluate the formability of locking compression plate panel quickly in initial design for reducing costs and development cycle of Plate. But current one-step inverse forming methods are all suitable for cold stamping, not hot-stamping. This paper proposed one-step inverse forming method and workflow for hotstamping of locking compression Plate. And the B pillar of a sacral bone was simulated and its computing result was compared with experimental value. The result shows that the proposed method in this paper can quickly evaluate high temperature formability of high-strength Plate. And the method is proposed to be used in initial design.

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Section: High Temperature Constitutive Equation Of Lcp Platementioning

confidence: 99%

Evaluating formability of LCP plate for sacral fractures with one step inverse forming finite element analysis

Zhang

et al. 2015

BME

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“…Several papers in the literature have investigated and reported the significant effect of the deformation on the final phase distribution during hot stamping [12][13][14][15]. The majority of early numerical models that have been developed for final phase distribution prediction during hot stamping have had limited success because of their inability to account for the effect of deformation [9,[16][17][18][19]. The predicted phase volume fractions by such models for a hot stamped part have been off by 30-40% in the regions with deformation.…”

Section: Introductionmentioning

confidence: 99%

“…Also, all the phase distribution prediction models that have been developed so far for tailored hot stamping process have used metallography and microhardness measurements for phase quantification during model development and validation [9,[16][17][18][19][20]. The final microstructure produced in boron steel after tailored hot stamping is a complex mixture of martensite, bainite and ferrite phases depending on the thermal and mechanical processing conditions [1,[6][7][8][9]20].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network (ANN) based microstructural prediction model for 22MnB5 boron steel during tailored hot stamping

Chokshi

Dashwood

Hughes

2017

Computers & Structures

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Abstract:Because of demand for lower emissions and better crashworthiness, the use of hot stamped 22MnB5 boron steel has greatly increased in manufacturing of automobile components. However, for many applications it is required that only certain regions in hot stamped parts are fully hardened whereas other regions need be more ductile. The innovative process of tailored hot stamping does this by controlling the localized microstructures through tailored cooling rates by dividing the tooling into heated and cooled zones. A barrier to optimal application of this technique is the lack of reliable phase distribution prediction model for the process.We present a novel Artificial Neural Network (ANN) based phase distribution prediction model for tailored hot stamping. The model was developed and validated using data generated from extensive thermo-mechanical physical simulation experiments and instrumented nanoindentation based phase quantification method. Advanced statistical techniques were used for preventing overfitting, for making the optimal use of available experimental data and for quantification of prediction uncertainty. The final predictions made by the ANN model during its independent validation have shown good agreement with the experimentally generated data and have a RMS prediction error of just 7.7%, which is a significant improvement over the existing models.

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“…Major automotive manufacturers have been working to produce lightweight vehicles in order to adhere with continuous strict regulations that demand for less greenhouse gas emission and increased fuel efficiency [1]. Among various systems of a vehicle, body-inwhite (BiW) is found as the most significant portion representing about 30% of the weight of a vehicle, and has tremendous potential in reducing weight of the whole vehicle [2].…”

Section: Introductionmentioning

confidence: 99%

Reverse engineering of B-pillar with 3D optical scanning for manufacturing of non-uniform thickness part

Abdullah

Mahmud

2016

MATEC Web Conf.

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Abstract. This paper presents reverse engineering (RE) of a complex automobile structural part, B-pillar. As a major part of the automobile body-in white (BiW), B-pillar has substantial opportunity for weight reduction by introducing variable thickness across its sections. To leverage such potential, an existing B-pillar was reverse engineered with a 3D optical scanner and computer aided design (CAD) application. First, digital data (i.e. in meshes) of exiting B-pillar was obtained by the scanner, and subsequently, this information was utilized in developing a complete 3D CAD model. CATIA V5 was used in the modeling where some of the essential work benches were ''Digitized Shape Editor'', ''Quick Surface Reconstruction'', ''Wireframe and Surface Design'', ''Freestyle'', ''Generation Shape Design'' and "Part design". In the final CAD design, five different thicknesses were incorporated successfully in order to get a B-pillar with non-uniform sections. This research opened opportunities for thickness optimization and mold tooling design in real time manufacturing.

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Comparative study of the prediction of microstructure and mechanical properties for a hot-stamped B-pillar reinforcing part

Cited by 79 publications

References 5 publications

Evaluating formability of LCP plate for sacral fractures with one step inverse forming finite element analysis

Evaluating formability of LCP plate for sacral fractures with one step inverse forming finite element analysis

Artificial Neural Network (ANN) based microstructural prediction model for 22MnB5 boron steel during tailored hot stamping

Reverse engineering of B-pillar with 3D optical scanning for manufacturing of non-uniform thickness part

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