@inbook{6231d41ea4724d1497a8b2f7b2311c9f,
title = "Thermal Optimisation Model for Cooling Channel Design Using the Adjoint Method in 3D Printed Aluminium Die-Casting Tools",
abstract = "In the present study, the adjoint method is introduced to the optimisation of the corner cooling element in two baseline cooling designs for a mould cavity, as examples of the Aluminium metal die-casting process. First, a steady thermal model simulating the Aluminium die-casting process is introduced for the two-corner cooling design scenario. This steady model serves as the first iteration of the optimised model using the adjoint method. A dual-parameter objective function targets the interfacial temperature standard deviation and pressure drop across the internal cooling region. For both design cases, multi-iterative deformation cycles of the corner cooling configurations result in optimised designs with non-uniform cross-section geometries and smooth surface finishing. Numerical simulations of the resulting designs show improvements in uniform cooling across the mould/cast interfacial contact surface by 66.13% and 92.65%, while the optimised pressure drop increases coolant fluid flow by 25.81% and 20.35% respectively. This technique has been applied to optimise the complex cooling system for an industrial high-pressure aluminium die-casting (HPADC) tool (Zeng et al. in SAE Technical Paper 2022-01-0246, 2022, [1]). Production line experience demonstrates that the optimised designs have three times the operational life compared to conventional mould designs, providing a significant reduction in manufacturing and operation costs.",
author = "Tongyan Zeng and Abo-Serie, {Essam F} and Manus Henry and James Jewkes",
note = "Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.",
year = "2023",
month = aug,
day = "12",
doi = "10.1007/978-3-031-30960-1_31",
language = "English",
isbn = "978-3-031-30959-5",
series = "Springer Proceedings in Energy",
publisher = "Springer Nature",
pages = "333--340",
editor = "Nixon, {Jonathan D. } and Al-Habaibeh, {Amin } and Vukovic, {Vladimir } and { Asthana}, Abhishek",
booktitle = "Energy and Sustainable Futures",
address = "United Kingdom",
}