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Review of advanced techniques for manufacturing biocomposites: non-destructive evaluation and artificial intelligence-assisted modeling

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Abstract

Natural fiber-reinforced polymer composites (NFRPCs) are being widely used in aerospace, marine, automotive and healthcare applications due to their sustainability, low cost and ecofriendly nature. The NFRPCs manufactured through conventional and computer-controlled intelligent manufacturing techniques may contain internal and external defects. Traditionally, the microstructure of NFRPCs at different stages of manufacturing was obtained using destructive techniques which have stringent sample size restrictions and may cause a decrease in residual properties of composites due to destructive scanning. However, these complications can be overcome by using non-destructive evaluation (NDE) and artificial intelligence (AI) techniques. This review highlights the impact of NDE and AI on the improvement of emerging manufacturing systems. We have discussed the classification of biocomposites, their manufacturing techniques, recyclability and strategies to improve mechanical properties. Further, the use of different types of contact and non-contact NDE techniques in understanding the microstructural variations during manufacturing, machining and the parameters that affect the mechanical performance of NFRPCs are discussed. The use of NDE images in developing the geometrical and computational models of NFRPCs is presented. We have highlighted the importance of AI technology in enhancing the quality of NDE images, improving the microstructural information before post-processing the data, and minimizing the analysis time and identifying the defects and damages in NFRPCs. In the end, we presented the application of NDE techniques and AI technology in efficient generation of digital material twins of NFRPCs, which will be useful to design next-generation biocomposites.

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Acknowledgements

This publication is based on work supported by the Abu Dhabi Award for Research Excellence (AARE-2019) under project number 8434000349/AARE19-232.

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Authors and Affiliations

  1. Department of Applied Medical Biotechnology and Clinical Research, VELS Institute of Science, Technology and Advanced Studies, Chennai, Tamil Nadu, 600117, India

    J. Preethikaharshini

  2. Department of Aerospace Engineering, Khalifa University of Science and Technology, 127788, Abu Dhabi, United Arab Emirates

    K. Naresh & K. A. Khan

  3. Department of Materials Science and Engineering, University of California, Irvine, 92697, USA

    K. Naresh

  4. Department of Mechanical Engineering, PSG Institute of Technology and Applied Research, Coimbatore, Tamil Nadu, India

    G. Rajeshkumar

  5. Department of Mechanical Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

    V. Arumugaprabu

  6. School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield, MK43 0AL, UK

    Muhammad A. Khan

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JP was involved in the conceptualization, methodology, data curation, visualization, formal analysis, investigation and writing—original draft. KN contributed to the conceptualization, methodology, data curation, software, validation, formal analysis, visualization, investigation and writing—original draft. GR helped in writing—review and editing and investigation. VA was involved in writing—review and editing and formal analysis. MAK contributed to writing—review and editing and formal analysis. KAK was involved in the conceptualization, methodology, writing—review and editing, visualization, resources, investigation, supervision, project administration and funding acquisition.

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Preethikaharshini, J., Naresh, K., Rajeshkumar, G. et al. Review of advanced techniques for manufacturing biocomposites: non-destructive evaluation and artificial intelligence-assisted modeling. J Mater Sci 57, 16091–16146 (2022). https://doi.org/10.1007/s10853-022-07558-1

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