Abstract

In this paper a comparative analysis of coating-substrate simulations applied to HFQTM forming tools is presented. When using the solution heat treatment cold die forming and quenching process, known as HFQTM, for forming of hardened aluminium alloy of automotive panel parts, coating-substrate-systems have to satisfy unique requirements. Numerical experiments, based on the Advanced Adaptive FE method, will finally present.

Highlights

  • In this paper a comparative analysis of coating-substrate simulations applied to HFQTM forming tools is presented

  • Aluminium alloys suffer from low ductility and have a tendency to springback by up to 30% after cold forming or post-forming heat treatment, used after hot stamping, meaning that the materials partly revert to their original shape

  • In addition to the well-known typically requirements for coatings given in Fig. 3, thermal properties like thermal conductivity, thermal expansion, specific heat capacity and friction conditions are of particular importance

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Summary

Introduction

Aluminium alloys suffer from low ductility and have a tendency to springback by up to 30% after cold forming or post-forming heat treatment, used after hot stamping, meaning that the materials partly revert to their original shape. A technique called solution-heat treatment, forming and cold-die quenching (HFQ®) [1] can alleviate this problem. The conventional approach for processing aluminium alloys involves three stages – forming the part, carrying out a solution heat treatment and aging the part. If the die temperature is too high, there is no rapid cooling and for aluminium alloys, this is a very sensitive issue. One of the most critical process parts for HFQ® is the quenching process (Fig. 1). In addition to the well-known typically requirements for coatings given in Fig. 3, thermal properties like thermal conductivity, thermal expansion, specific heat capacity and friction conditions are of particular importance

Selected coating-substrate-systems
Theoretical investigations
Parallel computing approach
Modelling of coating-substrate-systems by AAFEM
Selected results
Findings
Summary
Full Text
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