Introduction of materials modelling into metal forming simulation

Guo, Ziqi; Lasne, Patrice; Saunders, N.; Schillé, Jean-Philippe

doi:10.1016/j.promfg.2018.07.232

Cited by 11 publications

(5 citation statements)

References 13 publications

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“…The transformation plasticity is also considered to represent the abnormal deformation created during the metallurgical transformation under stress. These properties are calculated by JMatPro software and used for the simulation [15]. Flow stress curves are available for each phase function of the strain rate (viscosity), plastic strain (strain-hardening) and temperature.…”

Section: Physical Properties -Rheological Behaviormentioning

confidence: 99%

Characterization of Quenchants to Reduce Distortion Using Numerical Simulation and Validation

Mackenzie

Poulain²,

Lasne

et al. 2021

Heat Treating Conference

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There are many sources of distortion. Manufacturing process, including initial forming, machining processes, and grinding, all contribute to residual stress. A large source of residual stress and distortion is the heat treating and quenching step. In this study, small components of SAE 1080 are neutral hardened after stamping. Excessive distortion was observed on many components. A study was conducted to reduce the distortion of the heat-treated components while maintaining proper hardness and microstructure. An initial numerical study was conducted using Transvalor SIMHEAT to simulate the effect the use of the existing oil at elevated temperatures on the distortion and microstructure of a high distortion part. A second oil selected to operate at higher temperatures than the existing oil (longer life and reduced oxidation) was also examined. Using SIMHEAT numerical simulation software, the two oils were compared for predicted distortion, hardness, and microstructure. The results of the study were validated empirically. The results of this study are shown.

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Section: Physical Properties -Rheological Behaviormentioning

confidence: 99%

Characterization of Quenchants to Reduce Distortion Using Numerical Simulation and Validation

Mackenzie

Poulain²,

Lasne

et al. 2021

Heat Treating Conference

Self Cite

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“…Fictive time method is used to generalize the incubation and growth model to avoid influences by temperature variation. Martensitic transformations are predicted with the Koistinen Marburger law [10]. The martensite volume fraction is a function of temperature when lower than the martensite transformation temperature.…”

Section: Figure 4: Incubation / Growth Model For It Conditionsmentioning

confidence: 99%

“…The transformation plasticity is also taken into account to represent the abnormal deformation created during the metallurgical transformation under stress. These properties are calculated by JMatPro software and used for the simulation [10]. Flow stress curves are available for each phase function of the strain rate (viscosity), plastic strain (strain-hardening) and temperature.…”

Section: Physical Properties -Rheological Behaviormentioning

confidence: 99%

Numerical Simulation of Full Carburizing Process of an Automotive Gear

Lasne

Bristiel²,

Poulain³

2021

Heat Treat 2021: Extended Abstracts From the 31st Heat Treating Society Conference and Exposition

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The objective of the paper is to present material and numerical models needed to simulate with accuracy the full carburizing process of an automotive gear. The rough dimensions of the gear studied are 120mm in diameter and 45mm in height. From a numerical standpoint, as the carburizing affects only a thin layer under the surface, the mesh discretization must be adapted. Consequently, anisotropic mesh is used to describe accurately this zone. The temporal discretization must be also adapted to follow carbon diffusion and thermal evolution. The material models represent metallurgical phenomena during the complete carburizing process. The initial heating of the part induces phases transformation due to austenization. Subsequently, while holding at carburizing temperature, boundary conditions are applied to diffuse carbon into the part. While carbon content increases next to the surface, austenitic metallurgical grain growth is also modelled. A final cooling sets the properties of the carburized part. The model takes into account the phase changes using phase transformation diagrams locally adapted to chemical compositions and grain sizes. Simulation is used to predict the in-use properties of the gear at the end of the carburizing process as well as important results such as assessment of distortion and residual stresses. Thermal stresses, volume variation due to phase changes, and transformation plasticity all contribute to establish the final mechanical properties of the part. During the complete process, the material is modelled with an elasto-viscoplastic behavior and mixing methods are used to consider the relative contribution of each phase.

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“…Moreover, with the decrease of experimental work, the overall development cost of the product would be reduced. Nowadays, the advancement of powerful computers technology enables the numerical simulations to consider a various physical phenomena during metal processing which include deformation, heat transfer, phase transformation and ductile fracture [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A Useful Manufacturing Guide for Rotary Piercing Seamless Pipe by ALE Method

Topa¹,

Cerik²,

Kim³

2020

Preprint

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The development of numerical simulations is potentially useful in predicting the most suitable manufacturing process and ultimately improving product quality. Seamless pipes are manufactured by rotary piercing process in which round bars are fed between two rolls and pierced by a stationary plug. During this process, the material undergoes severe deformation which renders it impractical to be modelled and analysed with conventional finite element methods. In this paper, three dimensional numerical simulations of the piercing process are performed with Arbitrary Lagrangian-Eulerian (ALE) Formulation in LS DYNA software. Details about the material model as well as the elements formulations are elaborated here and mesh sensitivity analysis was performed. The results of the numerical simulations are in good agreement with experimental data found in the literature and the validity of the analysis method is confirmed. The effects of varying workpiece velocity, process temperature, and wall thickness on the maximum stress levels of the product material/pipes are investigated by performing simulations of sixty scenarios. Three dimensional surface plots are generated which can be utilized to predict the maximum stress value at any given combination of the three parameters.

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Introduction of materials modelling into metal forming simulation

Cited by 11 publications

References 13 publications

Characterization of Quenchants to Reduce Distortion Using Numerical Simulation and Validation

Characterization of Quenchants to Reduce Distortion Using Numerical Simulation and Validation

Numerical Simulation of Full Carburizing Process of an Automotive Gear

A Useful Manufacturing Guide for Rotary Piercing Seamless Pipe by ALE Method

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