High Pressure Die Casting Porosity Defect Analysis and Experimental Validation for Power Steering Columns and DVVTs

Autor: M. R. Mohamad, Su Shiung Lam, Lidyana Roslan, M.D Ibrahim, Yuta Sunami
Rok vydání: 2019
Předmět:
Zdroj: Advances in Material Sciences and Engineering ISBN: 9789811382963
DOI: 10.1007/978-981-13-8297-0_21
Popis: This paper presents a research study conducted in a local automotive component manufacturer that produces aluminium alloy of Power Steering Column and Dynamic Variable Valve Timing (DVVTs) for local and global markets. The die casting defects that are caused by molten metal during mould filling include gas porosity, shrinkage porosity and air entrapment. However, the control of casting defects has been based on the experience of die casting engineers and trial and error experiments. Trial and error experiments are time consuming and costly which eventually leads to high rate of rejection. This paper presents some numerical simulations which analyzed the filling flow of molten metal, metal solidification behavior and porosity prediction through changes during the heat transfer process from liquid form to solid form using a 3-D computer numerical simulation. The numerical simulation replicated the actual condition of parameter setting on the die casting machine, mould’s gating, runner, air vents and cooling design. The numerical result is validated through comparisons with observations made on experimental casting. Results showed a significant confidence in the ability of casting numerical simulation to predict porosity. A location of shrinkage porosity is accurately predicted through significant correlations between numerical simulation of mould filling and casting solidification behaviour. This research will enhance the efficiency of the mass production of die casting the industry with the understanding of porosity defect analysis and its solution, which traditionally relies on trial and error methods, in a way early in its stages of die casting mould and process parameter design.
Databáze: OpenAIRE