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Design and simulation of warp knitted fabrics using MATLAB: a framework for cleaner production

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Abstract

This study presents a novel approach to advance warp knitting design and simulation using MATLAB, offering a significant contribution to the textile fabric manufacturing industry. By analyzing the structural characteristics of warp knitted fabrics, we decompose the basic structural unit into curves, establish a coordinate system, and derive mathematical models. MATLAB is employed to visually represent these mathematical models, incorporating various stitch patterns. The mathematical output of MATLAB was used to display the mathematical model as an image, according to the arrangement of the loops of stitch and the loop statement pillar stitch, tricot stitch, cord lap, satin lap, atlas stitch, two bar tricot stitch, lock knit stitch, reverse lock knit stitch, satin stitch, and sharkskin stitch. Physical measurements are then used for numerical analysis, refining the theoretical model to closely match physical fabrics. Hence, the work represents a promising avenue for achieving cleaner production in warp-knitted fabric manufacturing.

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References

  1. Kazancoglu I, Kazancoglu Y, Yarimoglu E, Kahraman A (2020) A conceptual framework for barriers of circular supply chains for sustainability in the textile industry. Sustain Dev 28(5):1477–1492

    Article  Google Scholar 

  2. Franco MA (2017) Circular economy at the micro level: a dynamic view of incumbents’ struggles and challenges in the textile industry. J Clean Prod 168:833–845

    Article  Google Scholar 

  3. Jing F (2021) The analysis of computer aided design and software application in textile industry,". J Phys Conf Ser 1952(4):042068

    Article  Google Scholar 

  4. Nguyen MD, Nguyen-Ngoc T, Nguyen-Dinh CH, Le AP (2022) A hybrid approach of blockchain and semantic web technologies to validating learning outcomes in accordance with legal constraints. Int J Inf Technol 14(6):2893–2901. https://doi.org/10.1007/s41870-022-01039-z

    Article  Google Scholar 

  5. Awati CJ, Shirgave SK, Thorat SA (2023) Improving performance of recommendation systems using sentiment patterns of user. Int J Inf Technol 15(7):3779–3790. https://doi.org/10.1007/s41870-023-01414-4

    Article  Google Scholar 

  6. Sharma LD, Chhabra H, Chauhan U, Saraswat RK, Sunkaria RK (2021) Mental arithmetic task load recognition using EEG signal and Bayesian optimized K-nearest neighbor. Int J Inf Technol 13:2363–2369. https://doi.org/10.1007/s41870-021-00807-7

    Article  Google Scholar 

  7. Banerjee S, Mondal AC (2023) An ingenious method for estimating future crop prices that emphasises machine learning and deep learning models. Int J Inf Technol. https://doi.org/10.1007/s41870-023-01474-6

    Article  Google Scholar 

  8. Cong H, Ge M, Jiang G (2008) 3-D modeling for warp knitted fabric based on NURBS. J Text Res 29(11):132–136

    Google Scholar 

  9. Hanh LD, Hieu KTG (2021) 3D matching by combining CAD model and computer vision for autonomous bin picking. Int J Interact Des Manuf (IJIDeM) 15:239–241

    Article  Google Scholar 

  10. Chaudhary S, Kumar P, Johri P (2020) Maximizing performance of apparel manufacturing industry through CAD adoption. Int J Eng Bus Manag 12:1847979020975528

    Article  Google Scholar 

  11. Jain A, Ratnoo S, Kumar D (2020) A novel multi-objective genetic algorithm approach to address class imbalance for disease diagnosis. Int J Inf Technol. https://doi.org/10.1007/s41870-020-00471-3

    Article  Google Scholar 

  12. Renkens W, Kyosev Y (2011) Geometry modelling of warp knitted fabrics with 3D form. Text Res J 81(4):437–443

    Article  Google Scholar 

  13. Al-Hamood A, Jamali HU, Abdullah OI, Senatore A, Kaleli H (2019) Numerical analysis of cam and follower based on the interactive design approach. Int J Interact Des Manuf (IJIDeM) 13(3):841–849

    Article  Google Scholar 

  14. Metzkes K, Schmidt R, Märtin J, Hoffmann G, Cherif C (2013) Simulation of the yarn transportation dynamics in a warp knitting machine. Text Res J 83(12):1251–1262

    Article  Google Scholar 

  15. Zhao S, Hu H, Kamrul H, Chang Y, Zhang M (2020) Development of auxetic warp knitted fabrics based on reentrant geometry. Text Res J 90(3–4):344–356

    Article  Google Scholar 

  16. Zhang L (2010) Three-dimensional computer simulation of warp-knitted fabrics. PhD thesis. Textile & Clothing College of Jiangnan University, Wuxi, China

  17. Bogdanovic MM, Bogojevic N (2020) Advantages of using new technology in textile and fashion design. In: International conference of experimental and numerical investigations and new technologies, 2020. Springer, pp 294–309

  18. Hesseler S, Stapleton SE, Appel L, Schöfer S, Manin B (2021) Modeling of reinforcement fibers and textiles. In: Akankwasa NT, Veit D (eds) The textile institute book series, advances in modeling and simulation in textile engineering. Woodhead Publishing, Cambridge, United Kingdom, pp 267–299. https://doi.org/10.1016/B978-0-12-822977-4.00010-8. ISBN 9780128229774

    Chapter  Google Scholar 

  19. Liu H, Jiang G, Dong Z (2022) Mesh modeling and simulation for three-dimensional warp-knitted tubular fabrics. J Text Inst 113(2):303–313. https://doi.org/10.1080/00405000.2020.1871184

    Article  Google Scholar 

  20. Ji Y, Jiang G, Tang M, Mao N, Wang H (2020) Three-dimensional simulation of warp knitted structures based on geometric unit cell of loop yarns. Text Res J 90(23–24):2639–2647. https://doi.org/10.1177/0040517520924005

    Article  Google Scholar 

  21. Zhang A, Li X, Sha S, Jiang G (2017) Warp-knitted fabrics simulation using cardinal spline and recursive rotation frame. J Eng Fibers Fabr 12(3):155892501701200320. https://doi.org/10.1177/155892501701200304

    Article  Google Scholar 

  22. Razbin M, Jeddi AAA, Semnani D, Ramzanpoor M (2020) A generalized method of measuring the Poisson's ratio of warp knitted fabrics under uniaxial loading based on image processing technique. J Text Inst 113(1):70–79. https://doi.org/10.1080/00405000.2020.1863568

    Article  Google Scholar 

  23. Liu H, Jiang G, Dong Z (2021) A shortened development process method for warp-knitted yarn-dyed shirt fabric. Text Re J 91(3–4):443–455

    Article  Google Scholar 

  24. Xiong Y, Miao X, Zhang A, Jiang G (2016) Computer simulation for warp-knitted brushed fabric with patterned piles. Text Res J 86(15):1659–1667. https://doi.org/10.1177/0040517515595033

    Article  Google Scholar 

  25. Liu H, Kyosev Y, Jiang G (2022) Yarn level simulation of warp-knitted clothing elements—first results and challenges. Commun Dev Assem Text Prod 3(2):115–126. https://doi.org/10.25367/cdatp.2022.3.p115-126

    Article  Google Scholar 

  26. Peng J, Jiang G, Xia F, Cong H, Dong Z (2020) Deformation and geometric modeling in three-dimensional simulation of fancy weft-knitted fabric. Text Res J 90(13–14):1527–1536. https://doi.org/10.1177/0040517519894749

    Article  Google Scholar 

  27. Do H, Tan YY, Ramos N, Kiendl J, Weeger O (2020) Nonlinear isogeometric multiscale simulation for design and fabrication of functionally graded knitted textiles. Compos B Eng 202:108416

    Article  Google Scholar 

  28. Kyosev Y (2021) Modelling approaches for constructing the geometry of textiles at the mesoscale level. In: Van Paepegem W (ed) Woodhead publishing series in composites science and engineering, multi-scale continuum mechanics modelling of fibre-reinforced polymer composites. Woodhead Publishing Limited, Cambridge, United Kingdom, pp 79–103. https://doi.org/10.1016/B978-0-12-818984-9.00004-4. ISBN 9780128189849

    Chapter  Google Scholar 

  29. Wadekar P, Perumal V, Dion G, Kontsos A, Breen D (2020) An optimized yarn-level geometric model for finite element analysis of weft-knitted fabrics. Comput Aided Geom Des 80:101883

    Article  MathSciNet  Google Scholar 

  30. Kurbak A (2019) Models for basic warp knitted fabrics Part III: the two guide bar fabrics (Double Tricot, Locknit, Reverse Locknit, Satin, Sharkskin). Text Res J 89(10):1917–1937

    Article  Google Scholar 

  31. Mirzanajotova M, Alieva D (2021) Investigation of the unevenness of the pile height length in complex fabrics. Збipник нayкoвиx пpaць ΛΌГOΣ

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Acknowledgements

This work was supported by the State Key Laboratory of New Textile Materials and Advanced Processing Technologies, Wuhan Textile University, Wuhan 430200, People’s Republic of China

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

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Authors and Affiliations

  1. School of Textile Science and Engineering, Wuhan Textile University, Wuhan, 430200, People’s Republic of China

    Marzan Mursalin Jami, Wang Wen, Sudipta Das, Wei Ke & Yang Zhou

  2. Department of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, 1208, People’s Republic of Bangladesh

    Sk. Mohtasim Billah

  3. Fujian Institute of Research on the Structure of Matter, Chinese Academy of Sciences, 155 Yangqiao Road West, Fuzhou, Fujian, 350002, People’s Republic of China

    Rony Mia

  4. University of Chinese Academy of Sciences, Beijing, 100049, People’s Republic of China

    Rony Mia

  5. Nanotechnology Center, School of Fashion and Textiles, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong

    Taosif Ahmed

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  1. Marzan Mursalin Jami
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  4. Wang Wen
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  6. Wei Ke
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  8. Yang Zhou
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Contributions

Conceptualization—MMJ and WW; methodology—SD, SMB, and RM; formal analysis—RM, WK and TA; investigation—RM and YZ; resources—MMJ; writing-original draft preparation—YZ, TA and SD; writing-review and editing—WK and RM; visualization—WW; supervision—WK and YZ. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Rony Mia, Wei Ke or Yang Zhou.

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Jami, M.M., Billah, S.M., Mia, R. et al. Design and simulation of warp knitted fabrics using MATLAB: a framework for cleaner production. Int. j. inf. tecnol. 16, 301–313 (2024). https://doi.org/10.1007/s41870-023-01637-5

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  • DOI: https://doi.org/10.1007/s41870-023-01637-5

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