# Numerical Simulation and Process Optimization of Sn-0.3Ag-0.7Cu Alloy Casting

## TL;DR

This study uses simulations to optimize the casting of SAC0307 alloy by identifying ideal temperature and heat transfer conditions to reduce porosity.

## Contribution

The study introduces a science-based optimization approach using FEM to determine optimal casting parameters for SAC0307.

## Key findings

- Pouring temperature has a non-monotonic effect on porosity by influencing solidification mode.
- Interfacial heat transfer coefficient controls porosity morphology through solidification rate and mode.
- Optimal parameters at 350 °C and 3000 W/(m2·K) improve ingot quality and reduce defects.

## Abstract

Porosity formation due to solidification shrinkage and inadequate liquid metal feeding during the casting of Sn-0.3Ag-0.7Cu (SAC0307) is a critical issue that impairs quality and subsequent processing. However, the opacity of the casting process often obscures the quantitative relationships between process parameters and defect formation, creating a significant barrier to science-based optimization. To address this, the present study utilizes finite element method (FEM) analysis to systematically investigate the influence of pouring temperature (PCT, 290–390 °C) and interfacial heat transfer coefficient (HTC, 900–5000 W/(m2·K)) on this phenomenon. The results reveal that PCT exerts a non-monotonic effect on porosity by modulating the solidification mode, which governs the accumulation of dispersed microporosity. In contrast, HTC plays a critical role in determining porosity morphology by controlling both the solidification rate and mode. Consequently, an optimal processing window was identified at 350 °C PCT and 3000 W/(m2·K) HTC, which significantly enhances interdendritic feeding and improves the ingot’s internal soundness. The efficacy of these optimized parameters was experimentally validated through macro- and microstructural characterization. This work not only elucidates the governing mechanisms of solidification quality but also demonstrates the value of numerical simulation for process optimization, offering a reliable scientific basis for the industrial production of high-quality SAC0307 alloys.