Phase transformation-based finite element modeling to predict strength and deformation of press-hardened tubular automotive part

Kim, Heon Young; Park, Jong Kyu; Lee, Myoung‐Gyu

doi:10.1007/s00170-013-5424-9

Cited by 30 publications

(7 citation statements)

References 25 publications

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“…This method has been used for a very wide range of analysis. Many different geometries can be modeled using the method such as very complex parts of engineering systems [9][10][11][12][13][14][15], beams, plates [16], shells [17,18], human body parts such as kidney, bone etc. [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Modal Analysis of Micro and Nanowires Using Finite Element Softwares

Mercan¹,

Cívalek²

2019

International Journal of Engineering and Applied Sciences

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The aim of this work is to represent a quick and truthful modality to obtain frequencies of microwires and nanowires which are widely used in nanosensors, nanocircuit and many more susceptible scientific areas. In this paper, modal analysis of micro and nano sized wires is investigated using COMSOL software. To obtain first ten mode shapes and eigenfrequencies of silicon carbide nanowire, thirty-nine modes is calculated. Results are given in figures captured from the software.

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Section: Introductionmentioning

confidence: 99%

Modal Analysis of Micro and Nanowires Using Finite Element Softwares

Mercan¹,

Cívalek²

2019

International Journal of Engineering and Applied Sciences

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“…A similar approach was adopted to fabricate the coupled torsion bean axle manufactured using press hardening technology for a tubular‐shaped part. [ 136 ] Odenberger et al. produced a double‐curved geometry within the shape tolerance of a thin Ti‐6A‐4V sheet by designing a press‐hardening process [ 137 ] and employing an FE analysis based on an anisotropic yield criterion and Zener‐Wert‐Avrami formulation to simulate the time‐ and temperature‐dependent stress relaxation behavior.…”

Section: Integrated Computational Materials Engineering In the Modeli...mentioning

confidence: 99%

Integrated Computational Materials Engineering for Advanced Automotive Technology: With Focus on Life Cycle of Automotive Body Structure

Park

Min

Kim

et al. 2022

Adv Materials Technologies

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Integrated computational materials engineering (ICME) is a simulation‐driven design approach that employs multiscale‐multiphysics modeling and is based on the understanding of process–structure–property–performance relationships. The ICME approach has attracted considerable attention in the automotive industry, considering that it significantly reduces development cost and time in optimization of materials and processes through computational advancement. This study presents a comprehensive review of ICME activities in advanced automotive manufacturing technology, which focuses on the life cycle of the automotive body structure such as structural material design, manufacturing process optimization, and reliability improvement in service quality. Results show that the ICME approach has been widely implemented in automotive manufacturing processes, from development of lightweight materials to performance management. However, further advances and technological strategies should be sought to develop more robust methodologies that can replace conventional experiment‐based design approaches.

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“…Although the application ratio is increasing to maximize the effect of applying an advanced high-strength steel sheet to the vehicle body, it is di cult to freely apply it to various parts due to the forming limit and dimensional precision of high-strength sheet materials [5][6][7][8][9][10]. Hot stamping technology can easily address these challenges [5,6].…”

Section: Introductionmentioning

confidence: 99%

Analysis of characteristic prediction of aluminized boron steel after the hot stamping process using an image color-based neural network

Yoon

Kong²,

Park³

et al. 2023

Preprint

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Hot stamping is an innovative technology that enables the production of high-strength automotive body parts by heating the material to a high temperature and simultaneously forming and quenching it in-die. The process results in parts with excellent strength-to-weight ratios, which are essential for the automotive industry. The widely used 22MnB5 material is heated to temperatures above 900°C, and an Al-Si coating is applied to prevent the formation of oxide scale on the sheet surface. The distinctive color on the sheet surface after hot stamping is produced by the Al-Si coating. This phenomenon is attributed to the formation of Al2O3 on the surface of the Al-Si coating layer and the diffusion of Fe from the substrate into the Al-Si coating layer, both of which are significantly influenced by the heating time and temperature. In this study, the neural network was investigated to predict the hot stamping heating temperature and time conditions based on the color exhibited on the sheet surface after the process. Additionally, the neural network was combined with numerical models to predict the inter-diffusion layer thickness in the Al-Si coating layer, which affects the weldability of the vehicle part, and the amount of hydrogen uptake that directly influences hydrogen embrittlement.

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Phase transformation-based finite element modeling to predict strength and deformation of press-hardened tubular automotive part

Cited by 30 publications

References 25 publications

Modal Analysis of Micro and Nanowires Using Finite Element Softwares

Modal Analysis of Micro and Nanowires Using Finite Element Softwares

Integrated Computational Materials Engineering for Advanced Automotive Technology: With Focus on Life Cycle of Automotive Body Structure

Analysis of characteristic prediction of aluminized boron steel after the hot stamping process using an image color-based neural network

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