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Title: Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network
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Abstract:
This study presents a neural network (NN)-based approach for optimising material composition in multi-layered functionally graded (FG) plates to minimise steady-state thermal stress. The focus is on the metal-ceramic composition across the thickness of heat-resistant FG plates, with the volume fractions of the ceramic constituent in each layer treated as design variables. A fully-connected NN, configured with an open-source Bayesian optimisation framework, is employed to predict the maximum in-plane thermal stress for various combinations of design variables. ; The optimal distribution of material composition is determined by applying a backpropagation algorithm to the NN. Numerical computations on ten- and twelve-layered FG plates demonstrate the usefulness of this approach in designing FG materials. NNs trained with 8000 samples enable the successful acquisition of valid optimal solutions within a practical timeframe.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
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Source:
IJAME, volume 29, number 4 (2024)
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License CC BY-NC-ND 4.0:
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Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Mechanical Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mechanics and Engineering (IJAME)
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mechanics and Engineering (IJAME) > International Journal of Applied Mechanics and Engineering (IJAME) (2024)
Last modified:
Dec 16, 2024
In our library since:
Dec 16, 2024
Number of object content hits:
8
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/91610
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International Journal of Applied Mechanics and Engineering (IJAME)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29 (2024)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 1 (2024)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 2 (2024)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 3 (2024)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 4 (2024)
- International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 4 (2024) - Contents
- An overview of heat sink technology
- Improvement friction welded 6063-T6 aluminum alloy joint properties
- Friction stir lap welding of dissimilar aluminum alloys with copper particles ?additives
- Intelligent systems model for selective laser melting (SLM) additive modeling of the damping of Ti-6Al-4v in turbulent flow during powder bed melting in the manufacturing process
- A practical alternative model to approximate a fully two dimensional thermally non-symmetric annular fin efficiency
- Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network
- Effect of the inner cylinder endwall shape on the stability of Taylor-Couette flow
- Bending vibrations of a thin wing for a profile with two axes of symmetry
- Numerical study of turbulent separated flows in axisymmetric diffusers based on a two-fluid model
- Two-dimensional deformation of an elastic layer subjected to surface loads
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29, number 1 (2024)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 28 (2023)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 27 (2022)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 26 (2021)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 25 (2020)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 24 (2019)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 23 (2018)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 22 (2017)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 21 (2016)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 20 (2015)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 19 (2014)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 18 (2013)
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International Journal of Applied Mechanics and Engineering (IJAME), volume 29 (2024)
| Edition name | Date |
|---|---|
| Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network | Dec 16, 2024 |
