Fast Simulation of Laser Heating Processes on Thin Metal Plates with FFT Using CPU/GPU Hardware

In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) a...

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Published inApplied sciences Vol. 10; no. 9; p. 3281
Main Authors Mejia-Parra, Daniel, Arbelaiz, Ander, Ruiz-Salguero, Oscar, Lalinde-Pulido, Juan, Moreno, Aitor, Posada, Jorge
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2020
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Abstract In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem from O ( M 2 N 2 ) to O ( M N log ( M N ) ) (with M × N being the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in 100 × faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting/ablation, convection and radiation heat transfer).
AbstractList In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem from O ( M 2 N 2 ) to O ( M N log ( M N ) ) (with M × N being the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in 100 × faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting/ablation, convection and radiation heat transfer).
In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem from O([M.sup.2][N.sup.2]) to O(MN log(MN)) (with M * N being the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in 100x faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting /ablation, convection and radiation heat transfer). Keywords: spectral method; Fast Fourier Transform; laser heating; GPU; rectangular metal plate; industry 4.0
In flexible manufacturing systems, fast feedback from simulation solutions is required for effective tool path planning and parameter optimization. In the particular sub-domain of laser heating/cutting of thin rectangular plates, current state-of-the-art methods include frequency-domain (spectral) analytic solutions that greatly reduce the required computational time in comparison to industry standard finite element based approaches. However, these spectral solutions have not been presented previously in terms of Fourier methods and Fast Fourier Transform (FFT) implementations. This manuscript presents four different schemes that translate the problem of laser heating of rectangular plates into equivalent FFT problems. The presented schemes make use of the FFT algorithm to reduce the computational time complexity of the problem fromO(M2N2)toO(MNlog(MN))(withM×Nbeing the discretization size of the plate). The test results show that the implemented schemes outperform previous non-FFT approaches both in CPU and GPU hardware, resulting in100×faster runs. Future work addresses thermal/stress analysis, non-rectangular geometries and non-linear interactions (such as material melting/ablation, convection and radiation heat transfer).
Audience Academic
Author Lalinde-Pulido, Juan
Moreno, Aitor
Mejia-Parra, Daniel
Ruiz-Salguero, Oscar
Arbelaiz, Ander
Posada, Jorge
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StartPage 3281
SubjectTerms Algorithms
Decision making
Fast Fourier Transform
Finite element analysis
Flexible manufacturing systems
Fourier transform spectroscopy
Fourier transforms
GPU
Graphics processing units
Heat transfer
industry 4.0
Laser ablation
laser heating
Lasers
Literature reviews
Metal plates (Building materials)
Methods
Numerical analysis
Optimization
Partial differential equations
rectangular metal plate
Simulation
spectral method
Technology application
Thermal properties
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Title Fast Simulation of Laser Heating Processes on Thin Metal Plates with FFT Using CPU/GPU Hardware
URI https://www.proquest.com/docview/2402165449
https://doaj.org/article/bac916ec09814e8897b714cd749ba07f
Volume 10
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