Simulation model of the morphological field of data for constructing a universal design of trousers

Authors

DOI:

https://doi.org/10.15587/1729-4061.2020.192590

Keywords:

cluster, size-based attributes, universal design, structural zones, gains, morphologic field

Abstract

The reported research into the influence of a database on the processes of universal design formation has established a mechanism for the interactive application of clusters of size-based attributes. It has been proven that the typological series of a structural size characterizes a conditional standard body figure of the youth type. This has made it possible to determine the mobility of structural zones in accordance with the morphological features of a body structure at the stages of forming the base for a design. Our experimental study has confirmed that the boundaries of functional sections in the grouping of structural zones are governed by the variability of gains by the basic structural points. That leads to the poly-variance of the pelvic section when forming properties for the proportionality of trousers. Specifically, it has been established that due to identifying the similarity of structures based on a scaling ratio, the adequacy of a database is improved by coordinating the information base for constructing structural zones. This allows us to assert the reliability of the mechanism that forms clusters within an anthropometric database, as well as practical attractiveness of the proposed interactive design technology. It has been shown that the variance in gains ensures decomposition of the closed contour of a part at the points of change in functional sections, which is the advantage of the current research. We have shown the prospects for extending the range of morphological types based on the age-trait biodynamics of functional movements.

Thus, there are grounds to assert the possibility of targeted control over the processes that form a universal design by employing an integrated database that combines the clusters of size-based attributes, gains, as well as a structural zones nomenclature

Author Biographies

Alla Slavinska, Khmelnytskyi National University Instytuts’ka str., 11, Khmelnytskyi, Ukraine, 29016

Doctor of Technical Sciences, Professor

Department Technology and Design of Garments

Oksana Syrotenko, Khmelnytskyi National University Instytuts’ka str., 11, Khmelnytskyi, Ukraine, 29016

PhD, Аssociate Рrofessor

Department Technology and Design of Garments

Oksana Dombrovska, Khmelnytskyi National University Instytuts’ka str., 11, Khmelnytskyi, Ukraine, 29016

PhD, Аssociate Рrofessor

Department Technology and Design of Garments

Victoriia Mytsa, Khmelnytskyi National University Instytuts’ka str., 11, Khmelnytskyi, Ukraine, 29016

PhD, Аssociate Рrofessor

Department Technology and Design of Garments

References

  1. Traumann, A., Peets, T., Dabolina, I., Lapkovska, E. (2019). Analysis of 3-D body measurements to determine trousers sizes of military combat clothing. Textile & Leather Review, 2 (1), 6–14. doi: https://doi.org/10.31881/tlr.2019.2
  2. Brito, P. Q., Soares, C., Almeida, S., Monte, A., Byvoet, M. (2015). Customer segmentation in a large database of an online customized fashion business. Robotics and Computer-Integrated Manufacturing, 36, 93–100. doi: https://doi.org/10.1016/j.rcim.2014.12.014
  3. Sudacevschi, S. (2015). Changes and modifications of the trousers patens for non-standard figures. Studiul Artelor şi Culturologie: Istorie, Teorie, Practică, 4 (27), 81–85.
  4. Hong, Y., Bruniaux, P., Zeng, X., Liu, K., Curteza, A., Chen, Y. (2018). Visual-Simulation-Based Personalized Garment Block Design Method for Physically Disabled People with Scoliosis (PDPS). Autex Research Journal, 18 (1), 35–45. doi: https://doi.org/10.1515/aut-2017-0001
  5. Nayak, R., Padhye, R., Wang, L., Chatterjee, K., Gupta, S. (2015). The role of mass customisation in the apparel industry. International Journal of Fashion Design, Technology and Education, 8 (2), 162–172. doi: https://doi.org/10.1080/17543266.2015.1045041
  6. Hong, Y., Curteza, A., Zeng, X., Bruniaux, P., Chen, Y. (2016). Sensory evaluation based fuzzy AHP approach for material selection in customized garment design and development process. IOP Conference Series: Materials Science and Engineering, 133, 012058. doi: https://doi.org/10.1088/1757-899x/133/1/012058
  7. Tao, X., Chen, X., Zeng, X., Koehl, L. (2018). A customized garment collaborative design process by using virtual reality and sensory evaluation on garment fit. Computers & Industrial Engineering, 115, 683–695. doi: https://doi.org/10.1016/j.cie.2017.10.023
  8. Sybilska, W., Napieralska, L., Mielicka, E. (2010). Analysis of body measurements using a 3D contactless scanning method. AUTEX Research Journal, 10 (3), 77–79.
  9. Sayem, A. S. M., Kennon, R., Clarke, N. (2012). Resizable trouser template for virtual design and pattern flattening. International Journal of Fashion Design, Technology and Education, 5 (1), 55–65. doi: https://doi.org/10.1080/17543266.2011.614963
  10. Etikan, I. (2016). Comparison of Convenience Sampling and Purposive Sampling. American Journal of Theoretical and Applied Statistics, 5 (1), 1. doi: https://doi.org/10.11648/j.ajtas.20160501.11
  11. Mpampa, M. L., Azariadis, P. N., Sapidis, N. S. (2010). A new methodology for the development of sizing systems for the mass customization of garments. International Journal of Clothing Science and Technology, 22 (1), 49–68. doi: https://doi.org/10.1108/09556221011008802
  12. Ding, Y.-S., Hu, Z.-H., Zhang, W.-B. (2011). Multi-criteria decision making approach based on immune co-evolutionary algorithm with application to garment matching problem. Expert Systems with Applications, 38 (8), 10377–10383. doi: https://doi.org/10.1016/j.eswa.2011.02.053
  13. Domingo, J., Ibáñez, M. V., Simó, A., Dura, E., Ayala, G., Alemany, S. (2014). Modeling of female human body shapes for apparel design based on cross mean sets. Expert Systems with Applications, 41 (14), 6224–6234. doi: https://doi.org/10.1016/j.eswa.2014.04.014
  14. Olaru, S., Filipescu, E., Avădanei, M., Mocenco, A., Popescu, G., Săliştean, A. (2015). Applied 3D Virtual Try-on for Bodies with Atypical Characteristics. Procedia Engineering, 100, 672–681. doi: https://doi.org/10.1016/j.proeng.2015.01.419
  15. Chaw Hlaing, E., Krzywinski, S., Roedel, H. (2013). Garment prototyping based on scalable virtual female bodies. International Journal of Clothing Science and Technology, 25 (3), 184–197. doi: https://doi.org/10.1108/09556221311300200
  16. Slavinska, A. L. (2011). Mekhanizm vyznachennia obsiahu vybirky dlia antropolohichnykh obstezhen naselennia. Visnyk Khmelnytskoho natsionalnoho universytetu, 5, 51–57.
  17. Mok, P. Y., Xu, J., Wu, Y. Y. (2016). Fashion design using evolutionary algorithms and fuzzy set theory – a case to realize skirt design customizations. Information Systems for the Fashion and Apparel Industry, 163–197. doi: https://doi.org/10.1016/b978-0-08-100571-2.00009-9
  18. McKinney, E., Gill, S., Dorie, A., Roth, S. (2016). Body-to-Pattern Relationships in Women’s Trouser Drafting Methods. Clothing and Textiles Research Journal, 35 (1), 16–32. doi: https://doi.org/10.1177/0887302x16664406
  19. Yamazaki, K., Oya, R., Nagahama, K., Okada, K., Inaba, M. (2016). Bottom Dressing by a Dual-Arm Robot Using a Clothing State Estimation Based on Dynamic Shape Changes. International Journal of Advanced Robotic Systems, 13 (1), 5. doi: https://doi.org/10.5772/61930
  20. McKinney, E. C., Bye, E., LaBat, K. (2012). Building patternmaking theory: a case study of published patternmaking practices for pants. International Journal of Fashion Design, Technology and Education, 5 (3), 153–167. doi: https://doi.org/10.1080/17543266.2012.666269
  21. Gill, S., Hayes, S. (2012). Lower body functional ease requirements in the garment pattern. International Journal of Fashion Design, Technology and Education, 5 (1), 13–23. doi: https://doi.org/10.1080/17543266.2011.593560
  22. Zakharkevich, O. V., Kuleshova, S. G. (2017). Development of the method of scaling patterns and virtual garments forms. Vlakna a Textil, 4, 34–40.
  23. Dombrovska, O. M., Mytsa, V. V. (2017). Research of basic constructions for clothes and daily primary age group. Herald of Khmelnytskyi national university, 5, 54–57.
  24. Slavinskaya, A. L., Vovk, Yu. V. (2013). Formirovanie optsiy preobrazovaniya interaktivnoy konstruktsii pryamoy yubki v konstruktsiyu klassicheskih bryuk. Molodoy ucheniy, 10 (57), 198–201.
  25. Mengna, G., Kuzmichev, V. E. (2013). Pressure and comfort perception in the system “female body–dress.” Autex Research Journal, 13 (3), 71–78. doi: https://doi.org/10.2478/v10304-012-0032-6
  26. Slavinska, A., Zakharkevich, O., Kuleshova, S., Syrotenko, O. (2018). Development of a technology for interactive design of garments using add-ons of a virtual mannequin. Eastern-European Journal of Enterprise Technologies, 6 (1 (96)), 28–39. doi: https://doi.org/10.15587/1729-4061.2018.148984
  27. Shvets, H. S. (2009). Antropometrychna modyfikatsiya hrafichnoi modeli poverkhni tazovoi chastyny manekena na sumizhni rozmiry i povnoty typovykh fihur. Visnyk Khmelnytskoho natsionalnoho universytetu, 4, 160–163.
  28. Zakharkevich, O. V., Kuleshova, S. G., Slavinska, A. L. (2015). Scale factors calculating for recreating women’s garments’ form. Magazine textile and clothing, 6, 146–151.
  29. Njagi, R. K., Zwane, P. E. (2011). Variation in measurements across different brands of same style ladies' pants in Swaziland. International Journal of Fashion Design, Technology and Education, 4 (1), 51–57. doi: https://doi.org/10.1080/17543266.2010.521195

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Published

2020-02-29

How to Cite

Slavinska, A., Syrotenko, O., Dombrovska, O., & Mytsa, V. (2020). Simulation model of the morphological field of data for constructing a universal design of trousers. Eastern-European Journal of Enterprise Technologies, 1(1 (103), 52–61. https://doi.org/10.15587/1729-4061.2020.192590

Issue

Vol. 1 No. 1 (103) (2020): Engineering technological systems

Section

Engineering technological systems

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Copyright (c) 2020 Alla Slavinska, Oksana Syrotenko, Oksana Dombrovska, Victoriia Mytsa

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