Alternative Teaching Methodology in Marine Engineering Coursesemploying TIC & CFD Tools

  1. Romero, José Enrique Gutiérrez
  2. Blas Zamora Parra
  3. Jerónimo Antonio Esteve Pérez
Journal:
Modelling in Science Education and Learning

ISSN: 1988-3145

Year of publication: 2014

Issue: 7

Pages: 25-36

Type: Article

DOI: 10.4995/MSEL.2014.2087 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Modelling in Science Education and Learning

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Abstract

An alternative teaching-learning methodology for the subject "Hydrodynamic, Resistance and Propulsion" in Degrees concerned with NAval Engineering, is presented. The goal of the pedagogical approach is the acquirement of appropiate skills related to the ability of analyzing and designing different types of ships. The blended learning concept is employed, including the supervised learnin as key ingredient. The roles of both Information and Communication Technologies (ICT) and Computational Fluid Dynamics (CFD), as educational tuools, are some specific features of the methodology. A pedagocial method that involves project based learning, using CFD, is applied. The evaluation of the student satisfaction is conducted by questionaries.

Bibliographic References

  • Calisal S. M., McGreer D. (1993). A resistance study on a systematic series of low L/B vessel. Marine Technology 30, 286-297.
  • Çengel Y. A., Cimbala J. M. (2006). Fluid Mechanics (fundamental and applications). New York: McGraw-Hill.
  • Choi J.E., Min K. S., Seo H. W. (2010). Resistance and propulsion characteristics of various commercial ships based on CFD results. Ocean Engineering 37, 549-566.
  • Compass Ingeniería y Sistemas. (2013). Tdyn Tutorial: environment for multi-physic simulation, including fluid dynamics, turbulence advection of species, structural mechanic, free surface and user defined PDE solver.
  • Compton R. H. (1986). Resistance of a systematic series of semiplaning transom-stern hulls. Marine Technology SNAME News 23, 1-26.
  • Fung S. C. (1992). Resistance and powering prediction for transom stern hull form during early stage. SNAME Transaction on Ship Design 99, 29-73.
  • García A. G. (1991). Predicción de Potencia y Optimización del Bulbo de Proa en Buques Pesqueros. Canal de Experiencias Hidrodinámicas El Pardo. Government of Spain. Report 131.
  • Gómez G. P., & Adalid J.G. (1998). Detailed design of ship propellers. Spain: Fondo Editorial de Ingeniería Naval (FEIN). Colegio Oficial de Ingenieros Navales y Oceánicos.
  • Hollenbach K. U. (1998). Estimating resistance and propulsion for single-screw and twin-screw ships. Ship Technology Research 45, 72-76.
  • Holtrop J. (1984). A statistical re–analysis of resistance and propulsion data. International Shipbuilding Progress 31, 272-276.
  • Hung T. C., Wang S. K., Tai S. W., Hung C. T. (2005). An innovative improvement of engineering learning system using computational fluid dynamics concept. Computer Application in Engineering Education 13, 306-315.
  • Kybartaite A., Nousiainen I., Malmivuo J. (2013). Technologies and methods in virtual campus for improving learning process. Computer Application in Engineering Education 21, 185-192.
  • Mills J., Treagust D. (2003). Engineering education: Is problem–based or project–based learning the answer? Australasian Journal of Engineering Education.
  • Mutu V., Ionas O. (2004). Computer applications and technologies at ship design group Galati. V. Bertram and M. Armada (Eds.). Proceedings of the 3rd International Conference on Computer and IT Applications in the Maritime Industries. (pp. 334–339) Sigüeza, Spain.
  • Orosa J. A. (2011). Programming languages for marine engineers. Computer Application in Engineering Education 19, 591–597.
  • Pieritz R. A., Mendes R., Da Silva R. F. A. F., Maliska C. R. (2004). CFD studio: An educational software package for CFD analysis and design. Computer Application in Engineering Education 12, 20-30.
  • Qui M., Chen L. (2010). A problem–based learning approach to teaching an Advanced Software Engineering Course. Proceedings of the 2nd International Workshop on Education Technology and Computer Science. (pp. 252–255), 3, Xiamen, China.
  • Ruggeri F., Nogueira M. C., Sampaio C. M. P., Nishimoto K. (2012). Parametric model and CFD integrated process for WED optimization. V. Bertram (Ed.). Proceedings of 11th International Conference on Computer and IT Applications in the Maritime Industries, (pp. 323–335). Liège, Belgium.
  • Terzis T., Economides A. A. (2011). The acceptance and use of computer based assessment. Computers & Education, 56, 1032-1044.
  • Tu J., Yeoh G. H., Liu C. (2013). Computational Fluid Dynamics: A Practical Approach (2nd ed.). Boston: Elsevier.
  • Van Lammeren W. P. A., Van Manen J. D., Oorterveld M. W. C. (1969). The Wageningen B-screw series. SNAME Transaction 77, 1-43.
  • Zamora B., Kaiser A. S., Vicente P. G. (2010). Improvement in learning on fluid mechanics and heat transfer courses using computational fluid dynamics. International Journal of Mechanical Engineering Education, 38(2), 147-166.