Information technologies of optimizing designs and manufacturing techniques of rubber-metal products

Authors

DOI:

https://doi.org/10.15587/1729-4061.2016.65456

Keywords:

rubber-metal articles, parameters connectivity, genetic algorithms, complex character models

Abstract

It is shown that a high percentage of defective rubber-metal articles at the manufacturing process output is caused by neglecting the subsystem parameters connectivity at the design stage separately within the design and technology, as well as between these subsystems.

The research is aimed at increasing the rubber-metal articles production stability and improving the rubber products quality through the development and introduction of a new integrated approach to the design and technology parameters optimization.

In the general system of the integrated design of rubber-metal shock-absorbers, the subsystems of designs and manufacturing technologies are singled out, and the correlations between the parameters within these subsystems and the parameters of different subsystems are identified.

Optimization problems have different objective functions, in which arguments often coincide fully or within certain boundaries. This significantly complicates calculations since the optimization problem in this case is often multiobjective and multiextremal. To solve this problem, the method that involves complex evolutionary optimization by means of a genetic algorithm is applied.

For this, new attributes of the genetic algorithm are created. In particular, new star-shaped character models (chromosomes), with internal links between individual parents and flexible constraints on the variation of the latter during optimization are developed. The result is a paradoxical conclusion: there is an additional possibility to perform multi-criteria optimization of the design and manufacturing technology of rubber-metal articles deeper than with Pareto optimization because Pareto optimization involves a single value for all iterations of search of objective functions in the evolutionary optimization, and the arguments on each iteration may differ on some, connection depth-dependant value when using the proposed method.

Author Biographies

Oksana Saveleva, Odessa National Polytechnic University 1 Shevchenko ave., Odessa, Ukraine, 65044

Doctor of Technical Science, Associate professor

Department of Oilgas and chemical mechanical engineering

Iraida Stanovska, Odessa National Polytechnical University 1 Shevchenko ave., Odessa, Ukraine, 65044

PhD

Department of the higher mathematics and systems modeling

Elena Lebedeva, Odessa National Polytechnic University 1 Shevchenko ave., Odessa, Ukraine, 65044

Department of Oilgas and chemical mechanical engineering

Alla Toropenko, Odessa National Polytechnic University 1 Shevchenko ave., Odessa, Ukraine, 65044

PhD

Department of Oilgas and chemical mechanical engineering 

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Published

2016-04-22

How to Cite

Saveleva, O., Stanovska, I., Lebedeva, E., & Toropenko, A. (2016). Information technologies of optimizing designs and manufacturing techniques of rubber-metal products. Eastern-European Journal of Enterprise Technologies, 2(2(80), 28–35. https://doi.org/10.15587/1729-4061.2016.65456

Issue

Vol. 2 No. 2(80) (2016): Information technology. Industry control systems

Section

Information technology

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Copyright (c) 2016 Alla Toropenko, Oksana Saveleva, Iraida Stanovska, Elena Lebedeva

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