Simulation and Forecasting of Wire Tool Piles Fatigue Endurance by Using Neural Networks

Author:

Rastorguev D.A.,Zotov A.V.,Bobrowskii A.V.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference28 articles.

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2. The model of formation of a clad layer thickness on the details of the friction pairs of process equipment;Platov;Nosov Vestnik MGTU,2013

3. A.I. Bokov, Increased durability of metallurgical equipment parts by plating flexible instrument taking into account its wear and fatigue failure, Ph.D. diss., Magnitogorsk, 2001.

4. The choice of rational modes of cladding slideways of machine tools;Levantsevich;Mechanics of machines, tools and materials,2009

5. Evaluation of wear resistance of the sliding rails subjected cladding;Zotov;Metal,2013

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1. Application of neural network modeling and fuzzy inference methods in cladding operation design;IOP Conference Series: Materials Science and Engineering;2020-01-01

2. Neural network classification of surface quality after hard turning of 105WCr6 steel;IOP Conference Series: Materials Science and Engineering;2019-05-01

3. Environmentally Friendly Technology for Applying Coatings with Various Functional Purposes;IOP Conference Series: Earth and Environmental Science;2019-02-05

4. Neural Network Modeling and Prediction of Adhesion of Coatings Applied by Wire Tool;Proceedings of the 4th International Conference on Industrial Engineering;2018-12-07

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