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1455. 3D Irregular Cutting and Packing for the Nuclear Waste from Tokamak Fusion Reactor
Invited abstract in session MD-7: Cutting and Packing 4 - 3D irregular, stream Cutting and Packing (ESICUP).
Monday, 14:30-16:00Room: 1019 (building: 202)
Authors (first author is the speaker)
1. | Yifu Wei
|
School of Chemical and Process Engineering, University of Leeds | |
2. | Julia Bennell
|
Leeds University Business School, University of Leeds | |
3. | Tatiana Romanova
|
Department of Mathematical Modeling and Optimal Design, Institute for Mechanical Engineering Problems of the National Academy of Sciences of Ukraine |
Abstract
The fusion reactor is widely regarded as the ideal future source of green energy. Nevertheless,the fusion reactor inevitably generates radioactive waste. The waste must be stored in waste disposal facilities for a significant length of time for legal and safety reasons. Subsequently, an optimised strategy of cutting and packing is critical to reduce overall costs which means a trade-off between cutting cost (the length of cutting trajectory) and the packing cost (the number of containers utilised).
My PhD research aims to tackle a 3D irregular cutting and packing problem: the primary shapes of the fusion reactor are treated independently, divided into distinct sub-problems. Each shape must be cut and subsequently packed into fixed containers. Regarding the containers, they are of a fixed, cylindrical or cubical design. The values of their cross-sectional area and height are predefined as parameters within the model. For each container, we also consider other parameters including the maximum permissible weight, maximum volume and the upper limits of radioactivity. The objective is to minimise the overall cost of cutting and packing.
In this presentation, I will provide a comprehensive definition of the problem, describe the way I will apply the phi-function techniques alongside a construction heuristic, and provide some preliminary results to illustrate how the approach works.
Keywords
- Cutting and Packing
- Programming, Nonlinear
- OR in Energy
Status: accepted
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