Research Article
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Year 2021, Volume: 5 Issue: 3, 111 - 117, 01.07.2021
https://doi.org/10.31127/tuje.695769

Abstract

References

  • ANSYIS Inc. (2008). ANSYS Multiphysics (Online). Available: http:// www.ansys.com/.
  • Chapra S C & Canale R P (2010). Numerical Methods for Engineers. 6th edition. McGraw Hill, New York, USA.
  • Close C M, Frederic D K & Newell J C (2002). Modelling and Simulation of Dynamic Systems. John Wiley & Sons Inc., NewYork, USA. ISBN: 978-0471394426
  • COMSOL Group (2008). “COMSOL Multiphysics (Online)”, Available: http:// www.comol.com/.
  • Dabney J B & Harman T L (2004). Mastering Simulink. Pearson Prentice Hall, New Jersey, USA. ISBN: 978-0131424777
  • Dulau M, Oltean S E & Duka A V (2016). Modeling and simulation of the operation mechanical systems which is affected by uncertainties. Procedia Technology, 22, 662-669. DOI: 10.1016/j.protcy.2016.01.139
  • Hrankova D & Pastor M (2013). Mechanical Systems a SimMechanis Simulation. American Journal of Mechanical Engineering, 1(7), 251-255. DOI: 10.12691/ajme-1-7-20
  • Ljung L & Glad T (1994). Modeling Dynamic Systems. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Macchelli A, Melchiorri C & Stramigioli S (2009). Port-based modelling of mechanical systems with rigid and flexible links. IEEE Transactions on Robotics, 25(5), 1016-1029. DOI: 10.1109/TRO.2009.2026504
  • Hussein M T (2015). Modeling mechanical and electrical uncertain systems using functions of rOBUST control MATLAB ToolBox. International Journal of Advanced Computer Science and Applications (IJACSA), 6(4), 79-84.
  • Ogata K (2004). System Dynamics. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Ogata K & Yang Y (2002). Modern Control Engineering. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Rowell D & Wormley D N (1997). System Dynamics. Prentice Hall, Englewood Cliffs, New Jersey, USA. ISBN: 978-0132108089
  • SIMULA (2008). Abaqus Unified (Online). Available: http:// www.simula.com/.
  • Virgala I, Franskowsky P & Kenderova M (2013). Friction Effect Analysis of a DC Motor. American Journal of Mechanical Engineering, 1(1), 1-5. DOI: 10.12691/ajme-1-1-1
  • Woods R L & Lawrence K L (1997). Modeling and Simulation of Dynamic Systems. Prentice Hall, Englewood Cliffs, New Jersey, USA. ISBN: 978-0133373790

Modeling and simulation of dynamic mechanical systems using electric circuit analogy

Year 2021, Volume: 5 Issue: 3, 111 - 117, 01.07.2021
https://doi.org/10.31127/tuje.695769

Abstract

Modeling and simulation are prerequisite to analysis and design of engineering systems. Modern engineering systems often are multy disciplinary, i.e., may include blocks from different majors of engineering, such as electrical, mechanical, fluid, etc. Availability of a unified approach for system modeling will make it easy for engineers or researcher from a certain discipline to model the systems from other disciplines. For example, with availability of a unified modeling methodology an electrical engineer will be able to model a system composed of electrical, mechanical and fluid systems. Modeling of complex mechanical systems is not always easy for engineers from other disciplines. On the other hand, it is much easier to establish mathematical model of electric circuits. Furthermore, simulation software is much richer for electric circuits. Therefore, in this paper a methodology is proposed for unifying the modeling of electrical and complex mechanical systems by obtaining electric circuit model of complex mechanic systems. In developing the proposed methodology, analogy between the electrical and mechanical elements have been used as tools. Proposed methodology has been applied to modeling and simulation of a relatively complex mechanical system and benefits accrued from this approach has been discussed. It is further proposed that the approach presented in this paper can be easily extended to modeling of dynamic systems from other engineering disciplines.

References

  • ANSYIS Inc. (2008). ANSYS Multiphysics (Online). Available: http:// www.ansys.com/.
  • Chapra S C & Canale R P (2010). Numerical Methods for Engineers. 6th edition. McGraw Hill, New York, USA.
  • Close C M, Frederic D K & Newell J C (2002). Modelling and Simulation of Dynamic Systems. John Wiley & Sons Inc., NewYork, USA. ISBN: 978-0471394426
  • COMSOL Group (2008). “COMSOL Multiphysics (Online)”, Available: http:// www.comol.com/.
  • Dabney J B & Harman T L (2004). Mastering Simulink. Pearson Prentice Hall, New Jersey, USA. ISBN: 978-0131424777
  • Dulau M, Oltean S E & Duka A V (2016). Modeling and simulation of the operation mechanical systems which is affected by uncertainties. Procedia Technology, 22, 662-669. DOI: 10.1016/j.protcy.2016.01.139
  • Hrankova D & Pastor M (2013). Mechanical Systems a SimMechanis Simulation. American Journal of Mechanical Engineering, 1(7), 251-255. DOI: 10.12691/ajme-1-7-20
  • Ljung L & Glad T (1994). Modeling Dynamic Systems. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Macchelli A, Melchiorri C & Stramigioli S (2009). Port-based modelling of mechanical systems with rigid and flexible links. IEEE Transactions on Robotics, 25(5), 1016-1029. DOI: 10.1109/TRO.2009.2026504
  • Hussein M T (2015). Modeling mechanical and electrical uncertain systems using functions of rOBUST control MATLAB ToolBox. International Journal of Advanced Computer Science and Applications (IJACSA), 6(4), 79-84.
  • Ogata K (2004). System Dynamics. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Ogata K & Yang Y (2002). Modern Control Engineering. Prentice Hall, Englewood Cliffs, New Jersey, USA.
  • Rowell D & Wormley D N (1997). System Dynamics. Prentice Hall, Englewood Cliffs, New Jersey, USA. ISBN: 978-0132108089
  • SIMULA (2008). Abaqus Unified (Online). Available: http:// www.simula.com/.
  • Virgala I, Franskowsky P & Kenderova M (2013). Friction Effect Analysis of a DC Motor. American Journal of Mechanical Engineering, 1(1), 1-5. DOI: 10.12691/ajme-1-1-1
  • Woods R L & Lawrence K L (1997). Modeling and Simulation of Dynamic Systems. Prentice Hall, Englewood Cliffs, New Jersey, USA. ISBN: 978-0133373790
There are 16 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Articles
Authors

Mehmet Akbaba 0000-0001-5013-091X

Publication Date July 1, 2021
Published in Issue Year 2021 Volume: 5 Issue: 3

Cite

APA Akbaba, M. (2021). Modeling and simulation of dynamic mechanical systems using electric circuit analogy. Turkish Journal of Engineering, 5(3), 111-117. https://doi.org/10.31127/tuje.695769
AMA Akbaba M. Modeling and simulation of dynamic mechanical systems using electric circuit analogy. TUJE. July 2021;5(3):111-117. doi:10.31127/tuje.695769
Chicago Akbaba, Mehmet. “Modeling and Simulation of Dynamic Mechanical Systems Using Electric Circuit Analogy”. Turkish Journal of Engineering 5, no. 3 (July 2021): 111-17. https://doi.org/10.31127/tuje.695769.
EndNote Akbaba M (July 1, 2021) Modeling and simulation of dynamic mechanical systems using electric circuit analogy. Turkish Journal of Engineering 5 3 111–117.
IEEE M. Akbaba, “Modeling and simulation of dynamic mechanical systems using electric circuit analogy”, TUJE, vol. 5, no. 3, pp. 111–117, 2021, doi: 10.31127/tuje.695769.
ISNAD Akbaba, Mehmet. “Modeling and Simulation of Dynamic Mechanical Systems Using Electric Circuit Analogy”. Turkish Journal of Engineering 5/3 (July 2021), 111-117. https://doi.org/10.31127/tuje.695769.
JAMA Akbaba M. Modeling and simulation of dynamic mechanical systems using electric circuit analogy. TUJE. 2021;5:111–117.
MLA Akbaba, Mehmet. “Modeling and Simulation of Dynamic Mechanical Systems Using Electric Circuit Analogy”. Turkish Journal of Engineering, vol. 5, no. 3, 2021, pp. 111-7, doi:10.31127/tuje.695769.
Vancouver Akbaba M. Modeling and simulation of dynamic mechanical systems using electric circuit analogy. TUJE. 2021;5(3):111-7.
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