TECHNICAL PARAMETERS OPTIMIZATION WHILE SOLVING ENGINEERING PROBLEMS


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Abstract

There are two radically different approaches to the engineering problems solving. The essence of one approach consists of the optimization of engineering solutions parameters using some known algorithm, for example, mathematical or some other modeling. The other approach is based on the creation of a new engineering solution using technical creativity. While solving challenging tasks both approaches are applicable. The aim of this research is to identify the correct balance of technical skills with regard to optimization and technical creativity.

Optimization of technical object parameters can be reduced to the search of their best combinations at the objective function extreme values and meeting the requirements of the defined engineering constraints. As a result, a task comes to the solution of the system of mathematical model equations and inequations.   

However, the solution of mathematical model allows determining the object optimal parameters only in terms of specified constraints. The expansion of the constraints boundaries is possible only by the creation of new engineering decisions. It can be achieved through the identification and resolution of contradictions contained in the problem, in other words, by applying the methodology of technical creativity.

The examples show that the most effective solutions to engineering problems result from the combination of the object parameters optimization and the technical creativity methods.

The described approach to the problems solving is applicable to the standard engineering activity. The authors suggest applying the received data in the higher educational institutions and in training centers of industrial enterprises for training technical engineering personnel. The application of the proposed study will increase the qualitative approach of engineers while solving engineering problems, as well as improve the level of training of specialists.

About the authors

Aleksandr Vladimirovich Gordeev

Togliatti State University, Togliatti

Email: fake@neicon.ru

PhD (Engineering), Associate Professor, assistant professor of Chair “Mechanical engineering equipment and technologies”

Russian Federation

Nikolay Yuryevich Loginov

Togliatti State University, Togliatti

Author for correspondence.
Email: loginovnik@mail.ru

PhD (Engineering), Associate Professor, assistant professor of Chair “Mechanical engineering equipment and technologies”

Russian Federation

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