Abstract
Basic principles are developed for formulating the information environment in the design of industrial processes, in mass-production conditions. A literature review indicates that the information environment for the automated design of industrial processes is inadequately developed in terms of the creation of models for different levels of product standardization. The level at which the product is produced is particularly important in the absence of standard design solutions. The proposed approach permits the design of industrial processes with a minimum of standard design solutions. Basic types of structural relationships in database organization for the design of manufacturing processes are established, with a view to improved automation of design systems, improved productivity, and lower design expenditures of capital and labor. The requirements on models with different purposes are determined. An additional structural–parametric model is proposed to increase the level of design automation. These developments permit increased automation of the design of new products with many novel features in short-run production. The new design approach increases design efficiency and product quality, while shortening the time required for the introduction of new engineering products.
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REFERENCES
Akashev, Z.T., Improvement and selection of the structure f technological processes of mining enterprises, Tyazh. Mashinostr., 2005, no. 12, pp. 17–19.
Yeleneva, J.Y., Kharin, A.A., Yelenev, K.S., et al., Corporate knowledge management in Ramp-up conditions: the stakeholder interests account, the responsibility centers allocation, CIRP J. Manuf. Sci. Technol., 2018, vol. 20, pp. 207–216.
Andreev, V.N., Eleneva, Yu.A., and Eleneva, Yu.Ya., Tekhnologicheskii kapital promyshlennogo predpriyatiya: struktura, effektivnost’ ispol’zovaniya. Monografiya (Technological Capital of Industrial Enterprises: Structure, Efficiency of Use: Monograph), Moscow: Mosk. Gos. Tekh. Univ., Stankin, 2012.
Yagopol’skii, A.G., Domnyshev, A.A., and Vorontsov, E.A., Innovation development in mechanical engineering of Russia, Innovatsii Insvest., 2019, no. 2, pp. 7–9.
Martinov, G.M. and Kozak, N.V., Numerical control of large precision machining centers by the AxiOMA contol system, Russ. Eng. Res., 2015, vol. 35, no. 7, pp. 534–538.
Tseng, G.W.G., Digital Twin Feed Drive Identification for Virtual Process Planning, Waterloo, ON: Univ. of Waterloo, 2018.
Kuznetsov, P.M. and Tsyrkov, G.A., Purposeful design and operational environment management, Inf. Tekhnol. Proektn. Proizvod., 2017, no. 4, pp. 10–14.
Tsyrkov, A.V., Kuznetsov, P.M., Tsyrkov, G.A., et al., Design operational management in engineering, Vestn. Mordovsk. Univ., 2018, vol. 28, no. 4, pp. 511–522.
Borzenkov, V.V., Topological properties of macroelements describing the structure of parts in CAD TP for mechanical processing, Materialy nauchno-prakticheskoi konferentsii s mezhdunarodnym uchastiem (Proc. Sci.-Pract. Conf. with Int. Participation), Smolensk, 2013, pp. 18–21.
Maksimovskii, D.E., Automation of process design by design-technological parameterization, Russ. Eng. Res., 2011, vol. 31, no. 9, pp. 870–872. https://elibrary.ru/item.asp?id=24009566.
Kalyakulin, S.Yu., Kuz’min, V.V., Mitin, E.V., and Sul’din, S.P., Informational relational models for calculating the cutting conditions in automatic control systems, Russ. Eng. Res., 2018, vol. 38, no. 12, pp. 1049–1052.
Kalyakulin, S.Y., Kuz’min, V.V., Mitin, E.V., et al., Designing the structure of technological synthesis-based processes, Vestn. Mordovsk. Univ., 2018, vol. 28, no. 1, pp. 77–84.
Astapov, V.Yu., Khoroshko, L.L., Afshari Payam, and Khoroshko, A.L., Design in the CAD modeling mode of technological processes producing the elements of the flying apparatus constructions, Tr. Mosk. Aviats. Inst., 2016, no. 87, p. 7.
Stephenson, D.A. and Agapiou, J.S., Metal Cutting Theory and Practice, London: CRC Press, 2016, 3rd ed.
Weis, B.X., From Idea to Innovation: A Handbook for Inventors, Decision Makers and Organizations, Berlin: Springer-Verlag, 2015.
Kuznetsov, P.M. and Khoroshko, L.L., Digitalization of crushing and recovery processes grinding equipment, Gorn. Inf.-Anal. Byull., 2019, no. 10, pp. 195–205.
Butko, A.O., Briukhovetskii, A.P., Grigoriev, D.E., and Kalashnikov, K.S., Algorithms, mechanisms and procedures for the computer-aided project generation system, Int. J. Appl. Eng. Res., 2017, vol. 12, no. 24, pp. 14199–14207.
Butko, A.O. and Kolesnikov, D.A., Algorithms of the subsystems for automation of construction of projects in the complex of analysis of organizational and technical solutions, Inf. Tekhnol. Proektn. Proizvod., 2018, no. 3, pp. 3–10.
Dmitriev, B.M., Diagnostics of the technical condition of a flexible production system, Remont. Vosstanov., Modern., 2018, no. 1, pp. 10–14.
Timiryazev, V.A. and Scirtladce, A.G., Self-programming of the trajectory using a cutting tool on CNC lathes in repair industries, Int. J. Sci., Technol. Soc., 2019, vol. 7, no. 2, pp. 38–43.
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Khoroshko, L.L., Kuznetsov, P.M. Information Environment for the Design of Industrial Processes. Russ. Engin. Res. 41, 277–280 (2021). https://doi.org/10.3103/S1068798X21030084
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DOI: https://doi.org/10.3103/S1068798X21030084