• Apr 24, 2017 News! Vol.6, No.4 has been indexed by EI (Inspec).   [Click]
  • Dec 27, 2017 News!2018 the annual meeting of IJMO Editorial Board, ECDMO 2018, will be held in Krakow, Poland, February 10-12, 2018.   [Click]
  • Dec 29, 2017 News!Vol 7, No 6 has been published with online version 10 original aritcles from 6 countries are published in this issue    [Click]
General Information
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.

Special Issue on Cyber Systems in the field of Aerospace, Robotics, Mechanical Engineering, Manufacturing Systems, Bioengineering, Power Energy, Materials Technology and Neurorehabilitation

The development of automatic analysis & optimization tools is a continuous concern and challenge for the research in the field of mechanical systems design. Important publications reveal a growing interest in analysis & optimization methods for multi-body systems (MBS), which may facilitate the self-formulating algorithms. Such methods are intensively used to develop powerful virtual prototyping software environments.

 

The stages to create a virtual prototype mirror to the physical model as follows: modeling (create parts, restrictions, and forces generating elements), simulation (analysis/testing), validation (compare virtual and experimental data), refining (improve the fidelity of the virtual model in relation to the physical one, e.g. add friction, flexible parts, actuating & control systems), optimization (improving the behavior of the mechanical system, usually from - but not limited to - functional point of view). The physical (hardware) prototyping is a support activity for the virtual (software) prototyping, providing the experimental results used in the validation stage of the virtual model. The basic principle for a successful virtual prototyping process is to manipulate the simplifying assumptions in a way that reduces the complexity of the virtual model, but without altering the accuracy of the results.

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