Authors: E.Y. Voronova, G.Sh. Khazanovich

Title of the article: Methodology for parametric optimization of aggregated tunneling systems

Year: 2020, Issue: 5, Pages: 16-21

Branch of knowledge: 05.05.06 Mining machines

Index UDK: 622.61/67

DOI: 10.26730/1816-4528-2020-5-16-21

Abstract: For effective parametric synthesis of aggregated tunneling systems (ATS), it is necessary to form General methodological approaches to the selection of their optimal parameters. The General methodology of parametric synthesis of ATS determines the sequence of procedures for setting and solving the problem of obtaining the extremum of the objective function, taking into account the multifunctional structure characteristic of aggregated variants of tunneling systems. The sequence of parametric synthesis procedures is presented as an enlarged algorithm for the iterative process of selecting the optimal parameters of ATS with an arbitrary structure. The complexity of the problem is that subsystems or elements used in several processes may have different requirements from the elements interacting with them. The target functions of individual subsystems (modules) should not contradict the target function of the entire ATS, even if the restriction systems differ. ATS are presented as a set of structural and technological modules United in a single scheme of kinematic interaction of structural elements. This makes it possible to take into account the technological and design features of ATS, as well as to determine their basic energy limitations at the initial stages of the iterative optimization process. Representation of the ATS in this form makes it possible to formalize the objective functions of the structural elements (modules) of the ATS, substantiate geometric, kinematic, energy and force constraints, and allows you to form a specific order of procedures for optimizing the parameters of each of the modules and the ATS as a whole.

Key words: aggregated tunneling system structural synthesis parametric synthesis parameters parameter optimization productivity system approach methodology of operations research

Receiving date: 12.10.2020

Publication date: 23.12.2020

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