Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/112020
Title: The Methodology of a Locomotive Simulation Model Development within the Model-Oriented Approach
Authors: Rublev, M. S.
Sitnikov, M. S.
Goriunov, A. A.
Filimonov, A. V.
Shakirov, A. A.
Issue Date: 2021
Publisher: IOP Publishing Ltd
IOP Publishing
Citation: The Methodology of a Locomotive Simulation Model Development within the Model-Oriented Approach / M. S. Rublev, M. S. Sitnikov, A. A. Goriunov et al. // Journal of Physics: Conference Series. — 2021. — Vol. 2094. — Iss. 4. — 042082.
Abstract: The use of mathematical modelling at the early stages of product design makes it possible to substantiate fundamental technical solutions, taking into account all possible (large number) requirements for the product by consumers and operation. At this (early) stage, it is important to use well-tested and convenient tools for designers to create virtual stands and digital twins (DC), confirming compliance, as well as forming the structure of systems and products as a whole. The article discusses a comprehensive methodology for the process of constructing a numerical model of a locomotive for analysing dynamics under various operating conditions. It is based on the top-level structural model (LBM), which is presented in the form of a block diagram and is used at all stages of product design. The required detailing of such a model depends on the actual tasks. The detailed models of the systems that have been developed within the framework of the work are presented. © 2021 Institute of Physics Publishing. All rights reserved.
Keywords: LOCOMOTIVES
BLOCK DIAGRAMS
DETAILED MODELS
MODEL DEVELOPMENT
OPERATING CONDITION
SIMULATION MODEL
STRUCTURAL MODELING
TECHNICAL SOLUTIONS
PRODUCT DESIGN
URI: http://elar.urfu.ru/handle/10995/112020
Access: info:eu-repo/semantics/openAccess
Conference name: 3rd International Scientific Conference on Applied Physics, Information Technologies and Engineering, APITECH-III 2021
Conference date: 24 September 2021 through 3 October 2021
SCOPUS ID: 85122007786
PURE ID: 29213967
ISSN: 1742-6588
DOI: 10.1088/1742-6596/2094/4/042082
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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