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 

References

  1. Grinberg, P. B., Poleschenko, K. N., Surikov, V. I., Tarasov, E. E. (2012). Tehnologiya naneseniya nanostrukturirovannyih metallopokryitii. Vestnik Omskogo universiteta, 2 (64), 249–252.
  2. Eggbeer, D., Bibb, R. J., Evans, L. P., Ji, L. (2013). Evaluation of direct and indirect additive manufacture of maxillofacial prostheses. Institution of Mechanical Engineers, 226 (9), 718–726.
  3. Asano, E., Sugira, T., Kimura, N., Toyama, T., Taguchi, T. (2014). Small and lightweight anti-vibration rubber products. Technical Review, 79, 47–50.
  4. Rubber metal buffers. Available at: http://www.hokon-verschlusstechnik.de/userfiles/pdf/M-%20Gummipuffer/M-1-Rubber-metal-buffers.pdf
  5. Banića, M., Stamenković, D., Milošević, M., Miltenović, A. (2013). Tribology Aspect of Rubber Shock Absorbers Development. Tribology in Industry, 35 (3), 225–231.
  6. Pinjarla, P., Lakshmana, Т. (2012). Design and analysis of a shock absorber. International Journal of Research in Engineering and Technology, 1 (4), 578–592. doi: 10.15623/ijret.2012.0104009
  7. Shvets, P. S., Lebedeva, O. Yu., Bondarenko, V. V. (2015). The computer-aided design of rubber-metal products. Pratsі Odeskogo natsіonalnogo polіtehnіchnogo unіversitetu, 63–72.
  8. Liu, B., Guo, X., Qi, G., Zhang, D. (2015). Quality evaluation of rubber-to-metal bonded structures based on shearography. Science China Physics, Mechanics & Astronomy, 58 (7), 1–8. doi: 10.1007/s11433-015-5658-7
  9. Fan, X. H., Hu, S. Q., Zhang, Z. X. (2009). Random vibration test simulation for a specimen with vibration-isolating rubber considering stiffness nonlinearity. Vibr Shock, 28, 174–176.
  10. Yu, L., Xu, J.-M., Han, Q.-L. (2004). Optimal guaranteed cost control of singular systems with delayed state and parameter uncertainties. Proceedings of the 2004 American Control Conference. Central Queensland University Institutional Repository, 4811–4816.
  11. Vasilev, E. M. (2012). Robastnaya stabilizatsiya mnogomernyih ob'ektov v sistemah s peremennoy strukturoy. Vestnik Voronezhskogo gosudarstvennogo tehnicheskogo universiteta, 11, 8.
  12. Saveleva, O. S., Androsyuk, A. V., Lebedeva, E. Yu. (2011). Model reologii geterogennyih potokov Visokі tehnologіуі v mashinobuduvannі, 1(21), 209–213.
  13. Prokopovich, I. V., Shvets, P. S., Lebedeva, E. Yu. (2013). Adaptivnyiy geneticheskiy algoritm dlya «myagkih» evolyutsionnyih vichisleniy. Materіali mіzhnarodnoуi konferentsіуі z avtomatichnogo upravleniya «AVTOMATIKA/AUTOMATICS – 2013», Mikolaуiv, 143–144.
  14. Lebedeva, E. Yu., Koshulyan, S. V., Abu Shena, Usama. (2014). Metod kontrolya kachestva rezino-metallicheskih amortizatorov. Modelirovanie v prikladnyih nauchnyih issledovaniyah, 60–62.

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