178
Views
0
CrossRef citations to date
0
Altmetric
Articles

Design and optimisation of die casting process for heavy-duty automatic transmission oil circuit board

, , , &
Pages 88-96 | Received 04 Sep 2020, Accepted 12 Mar 2021, Published online: 26 Apr 2021
 

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.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 51965011), Science and Technology Innovation Team Project in Guizhou Province (Grant No. Q.K.H.P.T.R.C[2020]5020), Key Research Project on Innovation Group of Guizhou Provincial Education Department (Grant No. Q.J.H. KY Z. [2018]011) and Training Plan for High-level Innovative Talent in Guizhou Province (Grant No. Q.K.H.P.T.R.C [2016]5659).

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 261.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.