ISSN 1991-2927
 

ACP № 3 (65) 2021

Author: "Ilmas Rifkatovich Salakhutdinov"

Albert Shamilevich Khusainov, Doctor of Science in Engineering; graduated from Ulyanovsk State Technical University; Head of the Department of Design and Service Vehicles at Ulyanovsk State University; an author of articles, monographs, textbooks, and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: a.s.khusainov@gmail.com.A. Khusainov,

Andrei Anatolevich Glushchenko, Candidate of Science in Engineering; graduated from Ulyanovsk State Agricultural Institute; Associate Professor of the Department of Exploitation of Machinery and Mobile Technological Equipment at Ulyanovsk State Agrarian University named after P.A Stoplypn; an author of articles, monographs, textbooks and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: oildel@yandex.ru.A. Glushchenko,

Ilmas Rifkatovich Salakhutdinov, Candidate of Science in Engineering; graduated from Ulyanovsk State Agricultural Academy; Associate Professor of the Department of Exploitation of Machinery and Mobile Technological Equipment at Ulyanovsk State Agrarian University named after P.A Stoplypn; an author of articles, monographs, textbooks and inventions in the field of modeling, designing, researching and optimization of tracks and cars constructions. e-mail: ilmas.73@mail.ru.I. Salakhutdinov,

Maksim Anatolevich Volkov, Candidate of Science in Physics and Mathematics; graduated from Ulyanovsk State University; Dean of the Faculty of Mathematics, Information and Aviation Technologies at Ulyanovsk State University, an author of articles, textbooks and inventions in the field of modeling, designing of complex engineering systems and developing of computer-aided control systems. e-mail: volkovmax1977@gmail.com.M. Volkov

Optimal Choice Of Recovery Technologies For Waste Lubricating Oils 57_14.pdf

A technique for an optimal choice of technologies set for recovering the performance properties of waste lubricating oils based on dynamic programming has been described in the article. Each variant of technological operation has a different productivity and costs, also it is characterized by a specific sequence of quality indicator changes for the oil recovery. Authors make a choice of the sequence and content of technological operations which provide the given quality indicators for the recovery of oil performance properties with the lowest cost of labor input and implementation time. A composite indicator has been adopted as a target function which considers the productivity and cost for the oil recovery. The technological process is considered as a changing function of present value for the technological operation in case of its constant implementation time and function of time operation changing in case of its constant present value. According to dynamic programming methods, the use of the system of data on each technological operation stage allows obtaining the recurrent equations to determine the optimal technology with minimal present costs and time for the technological operations implementation. The solution of obtained equations results in the data array. The data analysis allows choosing the technological operations with optimal balance between its implementation time and present costs. The proposed optimization technique can be used in the development of the technological processes of any other type of production.

Recovery technology, technological operation, optimization, dynamic programming method.

2019_ 3

Sections: Mathematical modeling

Subjects: Mathematical modeling.



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