Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Real time processing enables online reactions to dynamic environment changes. The author focuses on possibilities of implementing the Finite Element Method (FEM) to real time algorithms on microcontrollers. The paper presents the current state of the Real Time Finite Element Method (RTFEM) and describes results obtained by the author. The RTFEM for microcontrollers (with examples of use cases) is presented and results of the computations for the chosen platform are given. The results consider optimization of RTFEM computational algorithms for a microcontroller taking into account their execution time. All the tests were performed on the ARM-CortexM4F based STM32F429ZIT6 microcontroller. The obtained results were compared, discussed and presented in the paper.
Rocznik
Tom
Strony
109--116
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
autor
- Institute of Computational Mechanics and Engineering, Silesian University of Technology Gliwice, Poland
Bibliografia
- [1] Vigneron L.M., Verly J.G., Warfield S.K., Modelling Surgical Cuts, Retractions, and Resections via Extended Finite Element Method, MICCAI, 2004, LNCS 3217, Springer-Verlag Heidelberg 2004, 311-318.
- [2] Lapeer R.J., Gasson P.D., Karri V., Simulating plastic surgery: From human skin tensile tests, through hyperelastic finite element models to real-time haptics, Progress in Biophysics and Molecular Biology 2010, 103, 208-216.
- [3] Berkley J., Turkiyyah G., Berg D., Ganter M., Weghorst S., Real-time finite element modeling for surgery simulation: An application to virtual suturing, IEEE Transactions on Visualization and Computer Graphics 2004, 10(3), 314-325.
- [4] Isobe Y., Watanabe H., Yamazaki N., XiaoWei L., Kobayashi Y., Miyashita T., Hashizume M., Fujie M.G., Real-Time Temperature Control System Based on the Finite Element Method for Liver Radiofrequency Ablation: Effect of the Time Interval on Control, Engineering in Medicine and Biology Society (EMBC), 35th Annual International Conference of the IEEE 2013, 392-396.
- [5] Shin E., Real-time recovery of impact force based on finite element analysis, Computers and Structures 2000, 76, 621-635.
- [6] Jaramillo A.E., Boulanger P., Prieto F., On-line 3-D system for the inspection of deformable parts, Int. J. Adv. Manuf. Technol. 2011, 57, 1053-1063.
- [7] Duriez C., Control of elastic soft robots based on real-time finite element method, Robotics and Automation (ICRA) 2013, 3982-3987.
- [8] Mucha W., Real-time hybrid simulation using materials testing machine and FEM, Advances in mechanics: theoretical, computational and interdisciplinary issues, Proceedings of the 3rd Polish Congress of Mechanics (PCM) and 21st International Conference on Computer Methods in Mechanics (CMM) - PCM-CMM-2015, Gdańsk, Poland, 8-11 September 2015, CRC Press/Balkema, 2016, 419-422.
- [9] Mucha W., Kuś W., Application of mode superposition to hybrid simulation using Real Time Finite Element Method, Mechanika, Kauno Technologijos Universitetas, accepted, 2016.
- [10] Mrozek A., Kuś W., Sztangret Ł., Real-time evolutionary optimization of metallurgical precesses using ARM microcontroller, Computer Methods in Material Science (CMMS) 2016, 16(1), 20-26.
- [11] Kuś W., Burczyński T., Bioinspired algorithms in multiscale optimization, Advanced Structured Materials 2010, 1, 186-192.
- [12] Kokot G., Orantek P., The topology optimization using evolutionary algorithms, Solid Mechanics and its Applications 2004, 117, 173-186.
- [13] Ogierman W., Kokot G., A study on fiber orientation influence on the mechanical response of a short fiber composite structure, Acta Mechanica 2016, 227(1), 173-183.
- [14] Zienkiewicz O.C., Taylor R.L., The Finite Element Method, Volume 1: The Basis, Fifth Edition, Butterworth-Heinemann, 2000.
- [15] Majchrzak E., Mochnacki B., Metody numeryczne. Podstawy teoretyczne, aspekty praktyczne i algorytmy, Wydawnictwo Politechniki Śląskiej, Gliwice 2004.
- [16] Chandrupatla T.R., Belegundu A.D., Introduction to Finite Elements In Engineering, Fourth Edition, Pearson, Upper Siddle River, 2012.
- [17] Golub G.H., Van Loan C.F., Matrix Computations, Third Edition, The Johns Hopkins University Press, 1996.
- [18] Saad Y., Iterative Methods for Sparse Linear Systems, Second Edition, Society for Industrial and Applied Mathematics, 2003.
- [19] Press W.H., Teukolsky S., Vetterling W., Flannery B., Numerical Recepies, The Art of Scientific Computing, Third Edition, Cambridge University Press, 2007.
- [20] Yiu J., The Definitive Guide to ARM Cortex-M3 and Cortex-M4 Processors, Third Edition, Elsevier, 2014.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05a72f0f-b270-4add-bc32-13d2bcc5c3e1