Microwave devices are widely used in the industry and in the specialized laboratory analyses. Development of such devices requires the possibility of modeling of microwave energy distribution in the specific resonant chambers. Until now, such modeling was possible only with the use of commercial software or was limited to specific cases. The paper presents an open-source module for ELMER software for solving timeharmonic Maxwell’s equations, allowing modeling of microwave waveguide lines. Three test cases of different resonant chambers are investigated at 2.45 GHz frequency. Modeling results obtained from the open-source ELMER Vectorial Helmholtz module show that the application of this software can be effective in R&D works, enabling high-tech small and medium enterprises involvement in advanced microwave technology.
 Zienkiewicz O., Taylor R.L., Zhu J.Z., The Finite Element method: Its Basis and Fundamentals, Butterworth-Heinemann (2005).
 Krokida M.K., Maroulls Z.B., Effect of microwave drying on some quality properties of dehydrated products, Drying Technology, vol. 17, no. 3, pp. 449-466 (1999).
 Råback P., Malinen M., Overview of Elmer, CSC- IT Centre for Science (2016).
 Cignoni P., Montani C., Scopigno R., DeWall: A fast divide & conquer Delaunay triangulation algorithm in Ed, Computer-Aided Design, vol. 30, no. 5, pp. 333-341 (1998).
 Šolín P., Partial differential equations and the finite element method, John Wiley & Sons (2006).
 Råback P., Malinen M., Ruokolainen J., Pursula A., Zwinger T. (Eds.), Elmer Models Manual, CSC- IT Centre for Science (2016).
 Jackson J.D., Classical Electrodynamics, John Wiley & Sons (1999).
 Peterson A.F., Absorbing boundary conditions for the vector wave equation, Microwave and Optical Technology Letters, vol. 1, no. 2, pp. 62-64 (1988).
 Schöberl J., NETGEN An advancing front 2D/3D-mesh generator based on abstract rules, Computing and Visualization in Science, vol. 1, no. 1, pp. 41-52 (1997).
 Geuzaine C., Remacle J.F., Gmsh: A 3-D finite element mesh generator with built-in pre- and postprocessing facilities, International Journal for numerical Methods in Engineering, vol. 79, no. 11, pp. 13091331 (2009).
 Wang Q., Zhang X., Zhang Y., Qing Y., AUGEM: automatically generate high performance dense linear algebra kernels on x86 CPUs, International Conference on High Performance Computing, Networking, Storage and Analysis, Denver, USA, no. 25 (2013).
 Whaley C.R., Petitet P.A., Dongarra J., Automated Empirical Optimization of Software and the ATLAS Project, Parallel Computing, vol. 27 (2000).
 http://www.vtk.org, accessed October 2016.
 http://www.paraview.org, accessed October 2016.
 http://www.salome-platform.org, accessed October 2016.