| Authors |
Petryakov Valery Georgievich, candidate of technical sciences, associate professor, sub-department of technology metals and repair of machines, Bashkir State Agrarian University (34 50-th Anniversary of October street, Ufa, Russia), V.petryakov@mail.ru
Natalenko Valery Sergeevich, candidate of technical sciences, associate professor, sub-department of technology metals and repair of machines, Bashkir State Agrarian University (34 50-th Anniversary of October street, Ufa, Russia), nvs1971@mail.ru
Mannanov Marat Mirgarifovich, сandidate of physical and mathematical sciences, associate professor, sub-department of mathematics, Bashkir State Agrarian University (34 50-th Anniversary of October street, Ufa, Russia), mmm060958@mail.ru
Akhmetyanov Ilshat Rasimovich, candidate of technical sciences, associate professor, sub-department of mechanics and engineering graphics, Bashkir State Agrarian University (34 50-th Anniversary of October street, Ufa, Russia), ahmetir09@rambler.ru
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| Abstract |
Background. The object of the study is a comparative assessment of the methods for recovering parts using an entropy algorithm and, on this basis, optimizing the qualimetry of recovering parts. The aim of the work is to obtain quantitative results of comparative
evaluation of recovery methods.
Materials and methods. For a comparative quantitative assessment of quality, the ranking of methods for restoring parts by individual single quality indicators that form the quality of the product as a whole is used.
Results. An algorithm for the entropy function of quality assessment is proposed, in which the best ordering of the system, its
equilibrium state is achieved at the maximum of entropy, taking into account the given constraints on costs. The algorithm of the entropy function allows you to simulate, compare alternatives and on this basis to carry out the development, ranking and optimization of complex structures of products with an unlimited number of indicators.
Conclusions. The application of this algorithm is automated and implemented in the Mathcad system. According to the results of its application, a quantitative comparative assessment of restoration methods is given and a variation range of entropic function values is formed, which implies that, according to technological indicators, almost two methods have the best total performance: electrocontact welding of steel tape and surfacing under a flux layer. Thus, the use of the entropy function in the ranking of restoration methods makes it possible to objectively make a management decision on the application of a particular method and form the expected quality of the restored parts.
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| Key words |
entropy, quality indicators, restoration methods, algorithm of entropy function, computer algebra system Mathcad
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