Cast aluminum alloys are increasingly being utilized by automotive industry for manufacturing chassis and powertrain components to reduce vehicle weight and consequently increase fuel economy and reduce emissions. High-pressure die casting process provides tremendous cost saving opportunities in manufacturing these components. Development of virtual casting tools for HPDC aluminum will lead to fast prototyping and tooling, thus fast final products with reduced cost. Porosity is a commonly found defect in high-pressure die cast components that affects both the fatigue and ductility properties. This paper describes briefly the development of an algorithm that predicts porosity defects in HPDC A380 component and the correlation of defects to fatigue property in the component. The prediction can be used to design and optimize casting component and process.

This paper is included in TMS Letters,Vol. 3:2 (2006).

Publisher: TMS
Product Format: PDF
Pages: 31-32
Date Published: February 1, 2006