ABSTRACT

In this study, HPDC is introduced into the production of oil circuit board, aiming to solve forming defects and provide a complete design concept for the exploitation of die-casting process in large castings. First, the die-casting die was designed and its rationality was verified, but the unreasonable selection of injection process parameters caused casting non-conformance. Next, the experimental data of L₂₅ orthogonal array of Taguchi method were used as training samples and the porosity of the die-cast part was examined in relation to casting variable parameters. Specifically, the velocity, temperature and injection pressure were mainly investigated, while the mathematical model passed the test of accuracy. Finally, Particle Swarm Optimisation (PSO) algorithm was used to optimise the model, achieving minimum porosity. The results have shown that the PSO algorithm optimisation results are better than the one produced by the Taguchi method, providing a significant improvement over the pre-optimisation results.

摘要

本研究将HPDC引入油路板的生产，旨在解决成型缺陷，为大型铸件压铸工艺的开发提供完整的设计理念。首先设计压铸模具并验证其合理性，但注射工艺参数选择不合理造成铸造不合格。接下来，L ₂₅的实验数据使用田口方法的正交阵列作为训练样本，并根据铸造变量参数检查压铸件的孔隙率。具体而言，主要研究了速度、温度和注射压力，而数学模型通过了准确性测试。最后，使用粒子群优化（PSO）算法对模型进行优化，实现最小孔隙率。结果表明，PSO算法优化结果优于Taguchi方法产生的结果，比优化前的结果有显着改进。