Solution of optimization problems in mechanical engineering based on use of functional semantic networks
- DOI
- 10.2991/avent-18.2018.61How to use a DOI?
- Keywords
- functional semantic networks, optimization in mechanical engineering, mechanical reducers, machining accuracy
- Abstract
The paper aims to investigate the possibility of using functional semantic networks for solving optimization problems in mechanical engineering. The results of the research are based on the application of the methods of the functional semantic network theory, the set theory, the graph theory and classical provisions of the mechanical engineering technology and the theory of machines and mechanisms. The paper describes the methodological principles of solving problems of finding optimal parameters for technical systems by using the structural model in the form of a functional semantic network. The paper offers examples of constructing such networks in designing transmission mechanisms as well as in solving the problem of finding optimal modes of machining. It has been established that functional semantic networks contribute to successful solution of optimization problems in mechanical engineering. Besides, due to functional interrelationships between parameters of engineering systems, application of functional semantic networks can reduce consumption of materials used for reducers by up to 8-22% and the error of cutting by multipoint tools by up to 21-25%.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - V.M. Pashkevich PY - 2018/05 DA - 2018/05 TI - Solution of optimization problems in mechanical engineering based on use of functional semantic networks BT - Proceedings of the International Conference "Aviamechanical engineering and transport" (AVENT 2018) PB - Atlantis Press SP - 319 EP - 322 SN - 2352-5401 UR - https://doi.org/10.2991/avent-18.2018.61 DO - 10.2991/avent-18.2018.61 ID - Pashkevich2018/05 ER -