Standard

Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners: book chapter. / Velikanov, V. S.; Dyorina, N. V.; Gasanenko, E. A. и др.
Lecture Notes in Mechanical Engineering: book. ред. / A.A. Radionov; V.R. Gasiyarov. Springer, 2023. стр. 650-660 (Proceedings of the 9th International Conference on Industrial Engineering).

Результаты исследований: Глава в книге, отчете, сборнике статейМатериалы конференцииРецензирование

Harvard

Velikanov, VS, Dyorina, NV, Gasanenko, EA & Pikalova, EA 2023, Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners: book chapter. в AA Radionov & VR Gasiyarov (ред.), Lecture Notes in Mechanical Engineering: book. Proceedings of the 9th International Conference on Industrial Engineering, Springer, стр. 650-660. https://doi.org/10.1007/978-3-031-38126-3_64

APA

Velikanov, V. S., Dyorina, N. V., Gasanenko, E. A., & Pikalova, E. A. (2023). Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners: book chapter. в A. A. Radionov, & V. R. Gasiyarov (Ред.), Lecture Notes in Mechanical Engineering: book (стр. 650-660). (Proceedings of the 9th International Conference on Industrial Engineering). Springer. https://doi.org/10.1007/978-3-031-38126-3_64

Vancouver

Velikanov VS, Dyorina NV, Gasanenko EA, Pikalova EA. Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners: book chapter. в Radionov AA, Gasiyarov VR, Редакторы, Lecture Notes in Mechanical Engineering: book. Springer. 2023. стр. 650-660. (Proceedings of the 9th International Conference on Industrial Engineering). doi: 10.1007/978-3-031-38126-3_64

Author

Velikanov, V. S. ; Dyorina, N. V. ; Gasanenko, E. A. и др. / Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners : book chapter. Lecture Notes in Mechanical Engineering: book. Редактор / A.A. Radionov ; V.R. Gasiyarov. Springer, 2023. стр. 650-660 (Proceedings of the 9th International Conference on Industrial Engineering).

BibTeX

@inproceedings{52abf69df6eb44cebd9ad11592527fc1,
title = "Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners: book chapter",
abstract = "Cone crushers of medium and fine crushing are used at mining enterprises for crushing materials with quite a wide range of physical and mechanical properties. The review and analysis of scientific and technical literature on crushing process regularities in cone crushers has determined the following: the dependence between material grain size distribution and crusher space profile parameters, wear rate of mobile and stationary cone liner, establishment of an optimum crusher space profile, minimisation of high manganese steel consumption, optimisation of crushing equipment repair and maintenance costs. The condition of the liner mantle is one of the determining factors in changing the qualitative and quantitative characteristics of the fine crushing process. It is established that a significant failure number of cone crushers, namely 96% lead to unscheduled repairs. Research objective. In order to implement a new approach in monitoring the liner mantle state. Methods. A complex approach was used, which includes: scientific analysis and generalization of previously published researches. The theory of fuzzy logic and fuzzy sets and methods of the system analysis made a methodological basis of researches. Novelty. The possibility of using the methods of artificial intelligence in the assessment of the liner mantle state in cone crushers has been implemented. Result: The approach in controlling the liner mantle wear in fine and medium cone crushers is defined.",
author = "Velikanov, {V. S.} and Dyorina, {N. V.} and Gasanenko, {E. A.} and Pikalova, {E. A.}",
year = "2023",
month = jul,
day = "28",
doi = "10.1007/978-3-031-38126-3_64",
language = "English",
isbn = "978-303138125-6",
series = "Proceedings of the 9th International Conference on Industrial Engineering",
publisher = "Springer",
pages = "650--660",
editor = "A.A. Radionov and V.R. Gasiyarov",
booktitle = "Lecture Notes in Mechanical Engineering",
address = "Germany",

}

RIS

TY - GEN

T1 - Development of a Neuro-Fuzzy Matlab Model for Assessing the Wear Rate of Crusher Liners

T2 - book chapter

AU - Velikanov, V. S.

AU - Dyorina, N. V.

AU - Gasanenko, E. A.

AU - Pikalova, E. A.

PY - 2023/7/28

Y1 - 2023/7/28

N2 - Cone crushers of medium and fine crushing are used at mining enterprises for crushing materials with quite a wide range of physical and mechanical properties. The review and analysis of scientific and technical literature on crushing process regularities in cone crushers has determined the following: the dependence between material grain size distribution and crusher space profile parameters, wear rate of mobile and stationary cone liner, establishment of an optimum crusher space profile, minimisation of high manganese steel consumption, optimisation of crushing equipment repair and maintenance costs. The condition of the liner mantle is one of the determining factors in changing the qualitative and quantitative characteristics of the fine crushing process. It is established that a significant failure number of cone crushers, namely 96% lead to unscheduled repairs. Research objective. In order to implement a new approach in monitoring the liner mantle state. Methods. A complex approach was used, which includes: scientific analysis and generalization of previously published researches. The theory of fuzzy logic and fuzzy sets and methods of the system analysis made a methodological basis of researches. Novelty. The possibility of using the methods of artificial intelligence in the assessment of the liner mantle state in cone crushers has been implemented. Result: The approach in controlling the liner mantle wear in fine and medium cone crushers is defined.

AB - Cone crushers of medium and fine crushing are used at mining enterprises for crushing materials with quite a wide range of physical and mechanical properties. The review and analysis of scientific and technical literature on crushing process regularities in cone crushers has determined the following: the dependence between material grain size distribution and crusher space profile parameters, wear rate of mobile and stationary cone liner, establishment of an optimum crusher space profile, minimisation of high manganese steel consumption, optimisation of crushing equipment repair and maintenance costs. The condition of the liner mantle is one of the determining factors in changing the qualitative and quantitative characteristics of the fine crushing process. It is established that a significant failure number of cone crushers, namely 96% lead to unscheduled repairs. Research objective. In order to implement a new approach in monitoring the liner mantle state. Methods. A complex approach was used, which includes: scientific analysis and generalization of previously published researches. The theory of fuzzy logic and fuzzy sets and methods of the system analysis made a methodological basis of researches. Novelty. The possibility of using the methods of artificial intelligence in the assessment of the liner mantle state in cone crushers has been implemented. Result: The approach in controlling the liner mantle wear in fine and medium cone crushers is defined.

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U2 - 10.1007/978-3-031-38126-3_64

DO - 10.1007/978-3-031-38126-3_64

M3 - Conference contribution

SN - 978-303138125-6

T3 - Proceedings of the 9th International Conference on Industrial Engineering

SP - 650

EP - 660

BT - Lecture Notes in Mechanical Engineering

A2 - Radionov, A.A.

A2 - Gasiyarov, V.R.

PB - Springer

ER -

ID: 46003582