Utilization of Mathematical Software Packages in Chemical Engineering Research

https://doi.org/10.22146/ajche.50180

Ang Wee Lee(1*), Nayef Mohamed Ghasem(2), Mohamed Azlan Hussain(3)

(1) 
(2) Department of Chemical Engineering University of Malaya 50603 Kuala Lumpur, MALAYSIA
(3) 
(*) Corresponding Author

Abstract


Using Fortran taken as the starting point, we are now on the sixth decade of high-level programming applications. Among the programming languages available, computer algebra systems (CAS) appear to be a good choice in chemical engineering can be applied easily. Until the emergence of CAS, the assistance from a specialized group for large-scale programming is justified. Nowadays, it is more effective for the modern chemical engineer to rely on his/her own programming ability for problem solving. In the present paper, the abilities of Polymath, Maple, Matlab, Mathcad, and Mathematica in handling differential equations are illustrated for differential-algebraic equations, large system of nonlinear differential equations, and partial differential equations. The programming of solutions with these CAS are presented, contrasted, and discussed in relation to chemical engineering problems. Keywords: Computer algebra systems (CAS),computer simulation,Mathcad, Mathematica,Mathlab and numerical methods.

Keywords


Computer algebra systems (CAS), computer simulation, Mathcad, Mathematica, Mathlab, and numerical methods.

Full Text:

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References

  1. Cutlip, M. B., and Shachạm, M. (2003). "Integration of numerical problem solving into the Chemical Engineering Curriculum," Proceedings of the American Society for Engineering Education Annual Conference and Exposition, Session 2793.
  2. Liu, S. L., and Amundson, N. R. (1962). "Calculation of molecular weight distribution in polymerization," Chem. Eng. Sci. 17, 797-802.
  3. Luyben, W. L. (1990). Process modeling Simulation and control for chemical engineers, 2nd ed., McGraw-Hill, New York.
  4. Shacham, M., Brauner, N., and Pozin, M. (1998). "Comparing software for interactive solution of systems of nonlinear algebraic equations,” Comp. Chem. Eng., 22, 323–31.
  5. Steinhaus, S. (1997). Comparison of mathematical programs for data analysis. Available at: http://www.uni-frankfurt.de/ --stst/ncrunch.html (July 9, 2005).



DOI: https://doi.org/10.22146/ajche.50180

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