Computational Material Modelling for Damage Prediction of Advanced High Strength Steel Automotive Research Association of India

Format:

Book

Conference/Event

Author/Creator:

Mulla, Suhail Mahanmad Hanif, author.

Contributor:

Mahajan, Rahul

Nemade, Sanket

Nigade, Sachin Rajendra

Santosh Jambhale, Medha

Vhanaje, Manoj G.

Conference Name:

International Conference on Automotive Materials and Manufacturing AMM 2023 (2023-06-01 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

FEA based simulations are extensively used in automotive industry for improving the product design and reducing the time taken for design and prototyping. FEA based simulations require material data as an input in form of material models. Most commonly used material models for simulation of metallic materials are elastic models and elasto-plastic models, which provide very good correlation till ultimate tensile strength (UTS). For simulation beyond UTS value, elasto-plastic material model has to be used along with material model considering the damage accumulation post UTS. For crash like event in automotive crash, required material models should consider the effect of various stress state conditions (Triaxiality) and strain rate sensitivity of materials along with damage accumulation. In LS Dyna solver, MAT_ADD_EROSION material model (GISSMO) along with MAT_024 is widely used for these applications.This paper will focus on development of GISSMO material model card for advanced high strength steel. Various stress state conditions will be considered along with strain rate sensitive properties. Paper will also cover the MAT_024 material model card which is used in association with MAT_ADD_EROSION for elasto-plastic region. Simulated data of coupons and component will be validated with experimental results

Notes:

Vendor supplied data

Publisher Number:

2023-28-1309

Access Restriction:

Restricted for use by site license