Designing Mathematical Models of Geometric and Technical Parameters for Modern Road-Building Machines Versus the Main Parameter of the System
- https://doi.org/10.2991/isees-19.2019.165How to use a DOI?
- differential thermal analysis; phase diagrams; reciprocal systems; metaborates.
Fleet equipping for toting auto road construction should be planned with the account of projected road schemes, regional peculiarities and target growth of labour capacity. The state-of-the-art IT solutions should be found for programming methods. It has been determined that application of the developed methodology for determining technical and geometrical parameters of the machines as function of operational conditions in collaborative work in the complex, connected with the chief parameter of the machine allows determining at the stage of specifying technical requirements the scheme of the designed equipment with CAD systems. This methodology of formation the set of parameters for designing machine scheme by determining similarity coefficient values on the analysis of sample-machine parameters of the same dimension range with the account of certain operational conditions can be used for receiving the initial approximation image of other types of earth-moving machinery.
- © 2019, the Authors. Published by Atlantis Press.
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- 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 - R.V. Mogutnov AU - P.V. Tikhomirov AU - A.V. Skrypnikov AU - A.I. Zavrazhnov AU - V.G. Kozlov AU - A.N. Belyaev AU - V.A. Zelikov AU - N.V. Mikheyev PY - 2019/08 DA - 2019/08 TI - Designing Mathematical Models of Geometric and Technical Parameters for Modern Road-Building Machines Versus the Main Parameter of the System BT - Proceedings of the International Symposium "Engineering and Earth Sciences: Applied and Fundamental Research" dedicated to the 85th anniversary of H.I. Ibragimov (ISEES 2019) PB - Atlantis Press SP - 1 EP - 5 SN - 2590-3217 UR - https://doi.org/10.2991/isees-19.2019.165 DO - https://doi.org/10.2991/isees-19.2019.165 ID - Mogutnov2019/08 ER -