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Identification of Spatial Modulus Distribution of Chopped Carbon Fiber Tape-reinforced Thermoplastic Structures Using Modal Test-based Inverse Analysis

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Abstract

The identification of elastic constants of carbon fiber reinforced plastic structures is vital for understanding their deformation characteristics and evaluating molding quality. In contrast to conventional mechanical testing methods, this study devised a combined experimental–numerical method that can identify the detailed spatial elastic constant distribution of a structure based on its natural frequencies, which were measured by modal tests and predicted using finite element (FE) simulations. A genetic algorithm (GA)-based parametric optimization process was then applied to iteratively update the moduli settings in the FE model, aiming to minimize the discrepancy between the simulated and experimentally measured natural frequencies of the structure. The final converged moduli set in the FE model comprised the identified modulus distributions of the structure. In addition, several model simplification methods were discussed to simplify the complexity of the parameter optimization. Design of experiment (DOE) method was found to be effective in screening the main design variables. Moreover, multiple calculation strategies were evaluated to enhance the accuracy of the identification process. A novel calculation strategy that integrated multiple FE models was demonstrated to achieve satisfactory accuracy for the evaluated structures. To demonstrate and validate the proposed approach, chopped carbon fiber tape-reinforced thermoplastic (CTT) plate and hat-shaped structures were utilized as examples.

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Data Availability

The data that support the findings of this study are available from the corresponding author, Ye Zhang, upon reasonable request.

References

  1. Yousefi, S.R., Sobhani, A., Alshamsi, H.A., Salavati-Niasari, M.: Green sonochemical synthesis of BaDy2NiO5/Dy2O3and BaDy2NiO5/NiO nanocomposites in the presence of core almond as a cap** agent and their application as photocatalysts for the removal of organic dyes in water. RSC Adv. 11, 11500–11512 (2021). https://doi.org/10.1039/d0ra10288a

    Article  CAS  Google Scholar 

  2. Ishikawa, T., Amaoka, K., Masubuchi, Y., Yamamoto, T., Yamanaka, A., Arai, M., et al.: Overview of automotive structural composites technology developments in Japan. Compos. Sci. Technol. 155, 221–246 (2018). https://doi.org/10.1016/j.compscitech.2017.09.015

    Article  CAS  Google Scholar 

  3. Li, Y., Pimenta, S.: Development and assessment of modelling strategies to predict failure in tow-based discontinuous composites. Compos. Struct. 209, 1005–1021 (2019). https://doi.org/10.1016/j.compstruct.2018.05.128

    Article  Google Scholar 

  4. Martulli, L.M., Creemers, T., Schöberl, E., Hale, N., Kerschbaum, M., Lomov, S.V., et al.: A thick-walled sheet moulding compound automotive component: Manufacturing and performance. Compos. Part A Appl. Sci. Manuf. 128, 105688 (2020). https://doi.org/10.1016/j.compositesa.2019.105688

  5. Wan, Y., Takahashi, J.: Tensile and compressive properties of chopped carbon fiber tapes reinforced thermoplastics with different fiber lengths and molding pressures. Compos. Part A Appl. Sci. Manuf. 87, 271–281 (2016). https://doi.org/10.1016/j.compositesa.2016.05.005

    Article  CAS  Google Scholar 

  6. Nakashima, Y., Suganuma, H., Yamashita, S., Takahashi, J.: Influence of strand dispersion method on mechanical properties of randomly oriented carbon fiber strand thermoplastic composites. ICCM Int. Conf. Compos. Mater. 2017 (2017)

  7. Fan, F., Cai, X., Sahmani, S., Safaei, B.: Isogeometric thermal postbuckling analysis of porous FGM quasi-3D nanoplates having cutouts with different shapes based upon surface stress elasticity. Compos. Struct. 262 (2021). https://doi.org/10.1016/j.compstruct.2021.113604

  8. ASTM E1876 - 15 Standard test method for dynamic youngs modulus, shear modulus, and poissons ratio by impulse excitation of vibration (n.d.). https://www.astm.org/Standards/E1876.htm. Accessed 25 May 2021

  9. ASTM C1548 - 02(2020).: Standard Test Method for Dynamic Young’s Modulus, Shear Modulus, and Poisson’s Ratio of Refractory Materials by Impulse Excitation of Vibration (n.d.) https://www.astm.org/Standards/C1548.htm. Accessed 25 May 2021

  10. ASTM C1259 - 15.: Standard Test Method for Dynamic Young’s Modulus, Shear Modulus, and Poisson’s Ratio for Advanced Ceramics by Impulse Excitation of Vibration (n.d.). https://www.astm.org/Standards/C1259.htm. Accessed 25 May 2021

  11. Deobald, L.R., Gibson, R.F.: Determination of elastic constants of orthotropic plates by a modal analysis/Rayleigh-Ritz technique. J. Sound Vib. 124, 269–283 (1988). https://doi.org/10.1016/S0022-460X(88)80187-1

    Article  Google Scholar 

  12. Ayorinde, E.O., Gibson, R.F.: Elastic constants of orthotropic composite materials using plate resonance frequencies, classical lamination theory and an optimized three-mode rayleigh formulation. Compos. Eng. 3, 395–407 (1993). https://doi.org/10.1016/0961-9526(93)90077-W

    Article  Google Scholar 

  13. Ismail, Z., Khov, H., Li, W.L.: Determination of material properties of orthotropic plates with general boundary conditions using Inverse method and Fourier series. Measurement (Lond) 46, 1169–1177 (2013). https://doi.org/10.1016/j.measurement.2012.11.005

    Article  Google Scholar 

  14. Lee, C.R., Kam, T.Y.: Identification of mechanical properties of elastically restrained laminated composite plates using vibration data. J. Sound Vib. 295, 999–1016 (2006). https://doi.org/10.1016/j.jsv.2006.01.054

    Article  Google Scholar 

  15. Li, N., Ben Tahar, M., Aboura, Z., Khellil, K.: A vibration-based identification of elastic properties of stitched sandwich panels. J. Compos. Mater. 53, 579–592 (2019). https://doi.org/10.1177/0021998318788141

    Article  Google Scholar 

  16. Rikards, R., Abramovich, H., Green, T., Auzins, J., Chate, A.: Identification of Elastic Properties of Composite Laminates. Mech. Adv. Mater. Struct. 10, 335–352 (2003). https://doi.org/10.1080/10759410306755

    Article  CAS  Google Scholar 

  17. Rikards, R., Chate, A., Gailis, G.: Identification of elastic properties of laminates based on experiment design. Int. J. Solids Struct. 38, 5097–5115 (2001). https://doi.org/10.1016/S0020-7683(00)00349-8

    Article  Google Scholar 

  18. Ba, D., Boyaci, I.H.: Modeling and optimization i: Usability of response surface methodology. J. Food Eng. 78 (2007). https://doi.org/10.1016/j.jfoodeng.2005.11.024

  19. Pagnotta, L., Stigliano, G.: Elastic characterization of isotropic plates of any shape via dynamic tests: Theoretical aspects and numerical simulations. Mech. Res. Commun. 35, 351–360 (2008). https://doi.org/10.1016/j.mechrescom.2008.03.008

    Article  Google Scholar 

  20. Tam, J.H.: Identification of elastic properties utilizing non-destructive vibrational evaluation methods with emphasis on definition of objective functions: a review. Struct. Multidiscip. Optim. 61, 1677–1710 (2020). https://doi.org/10.1007/s00158-019-02433-1

    Article  Google Scholar 

  21. Tam, J.H., Ong, Z.C., Ismail, Z., Ang, B.C., Khoo, S.Y.: Identification of material properties of composite materials using nondestructive vibrational evaluation approaches: A review. Mech. Adv. Mater. Struct. 24, 971–986 (2017). https://doi.org/10.1080/15376494.2016.1196798

    Article  Google Scholar 

  22. Teixeira Silva, M.F., Alves Borges, L.M.S., Rochinha, F.A., De Carvalho, L.A.V.: A genetic algorithm applied to composite elastic parameters identification. Inverse Probl. Sci. Eng. 12, 17–28 (2004). https://doi.org/10.1080/1068276031000097992

  23. Hwang, S.F., Wu, J.C., He, R.S.: Identification of effective elastic constants of composite plates based on a hybrid genetic algorithm. Compos Struct 90, 217–224 (2009). https://doi.org/10.1016/j.compstruct.2009.03.021

    Article  Google Scholar 

  24. Maletta, C., Pagnotta, L.: On the determination of mechanical properties of composite laminates using genetic algorithms. Int. J. Mech. Mater. Des. 1, 199–211 (2004). https://doi.org/10.1007/s10999-004-1731-5

    Article  CAS  Google Scholar 

  25. Cugnoni, J., Gmür, T., Schorderet, A.: Inverse method based on modal analysis for characterizing the constitutive properties of thick composite plates. Comput Struct 85, 1310–1320 (2007). https://doi.org/10.1016/j.compstruc.2006.08.090

    Article  Google Scholar 

  26. Hwang, S.F., Wu, J.C., Barkanovs, E., Belevicius, R.: Elastic constants of composite materials by an inverse determination method based on a hybrid genetic algorithm. J. Mech. 26 (2010). https://doi.org/10.1017/S1727719100003907.

  27. Matter, M., Gmür, T., Cugnoni, J., Schorderet, A.: Identification of the elastic and dam** properties in sandwich structures with a low core-to-skin stiffness ratio. Compos. Struct. 93, 331–341 (2011). https://doi.org/10.1016/j.compstruct.2010.09.009

    Article  Google Scholar 

  28. Schwaar, M., Gmür, T., Frieden, J.: Modal numerical-experimental identification method for characterising the elastic and dam** properties in sandwich structures with a relatively stiff core. Compos. Struct. 94, 2227–2236 (2012). https://doi.org/10.1016/j.compstruct.2012.02.017

    Article  Google Scholar 

  29. Araújo, A.L., Mota Soares, C.M., Moreira De Freitas, M.J., Pedersen, P., Herskovits, J.: Combined numerical-experimental model for the identification of mechanical properties of laminated structures. Compos. Struct. 50, 363–72 (2000). https://doi.org/10.1016/S0263-8223(00)00113-6

  30. Marwala, T.: Finite Element Model Updating Using Computational Intelligence Techniques_ Applications to Structural Dynamics. Springer (2010)

  31. Araújo, A.L., Lopes, H.M.R., Vaz, M.A.P., Mota Soares, C.M., Herskovits, J., Pedersen, P.: Parameter estimation in active plate structures. Comput. Struct. 84, 1471–1479 (2006). https://doi.org/10.1016/j.compstruc.2006.01.017

    Article  Google Scholar 

  32. Lasn, K., Echtermeyer, A.T., Klauson, A., Chati, F., Décultot, D.: Comparison of laminate stiffness as measured by three experimental methods. Polym. Test. 44, 143–152 (2015). https://doi.org/10.1016/j.polymertesting.2015.04.006

    Article  CAS  Google Scholar 

  33. Tam, J.H., Ong, Z.C., Ismail, Z., Ang, B.C., Khoo, S.Y., Li, W.L.: Inverse identification of elastic properties of composite materials using hybrid GA-ACO-PSO algorithm. Inverse Probl. Sci. Eng. 26, 1432–1463 (2018). https://doi.org/10.1080/17415977.2017.1411911

    Article  Google Scholar 

  34. Altair HyperStudy user guide 2021 (n.d.). https://2021.help.altair.com/2021/simulation/pdfs/hst/AltairHyperStudy_2021_UserGuide.pdf. Accessed 27 May 2021

  35. Daghia, F., de Miranda, S., Ubertini, F., Viola, E.: Estimation of elastic constants of thick laminated plates within a Bayesian framework. Compos. Struct. 80, 461–473 (2007). https://doi.org/10.1016/j.compstruct.2006.06.030

    Article  Google Scholar 

  36. Jiju Antony. Design of Experiments for Engineers and Scientists. Elsevier (2014)

  37. Gibson, R.F.: Principles of Composite Material Mechanics. CRC Press (2016)

    Book  Google Scholar 

  38. Yang, J., ** of composite sandwich cylindrical shell with pyramidal truss-like cores. Compos. Struct. 117, 362–372 (2014). https://doi.org/10.1016/j.compstruct.2014.06.042

    Article  Google Scholar 

  39. Hwang, S.F., Chang, C.S.: Determination of elastic constants of materials by vibration testing. Compos. Struct. 49, 183–190 (2000). https://doi.org/10.1016/S0263-8223(99)00132-4

    Article  Google Scholar 

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Acknowledgements

This study is partially supported by the Japanese METI project “the Future Pioneering Projects/Innovative Structural Materials Project” since 2013fy. The authors express sincere appreciation to the project members who have provided valuable information and support. In addition, the authors would like to thank the Industrial Technology Center of Fukui Prefecture for providing material for this study.

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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Ye Zhang and Bing **ao. The first draft of the manuscript was written by Ye Zhang and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Y. Zhang.

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Zhang, Y., **ao, B., Wan, Y. et al. Identification of Spatial Modulus Distribution of Chopped Carbon Fiber Tape-reinforced Thermoplastic Structures Using Modal Test-based Inverse Analysis. Appl Compos Mater 30, 1785–1818 (2023). https://doi.org/10.1007/s10443-023-10147-3

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