325
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Machine learning approaches for prediction of properties of natural fiber composites : Apriori algorithm

ORCID Icon, & ORCID Icon
Pages 1790-1805 | Received 22 Aug 2021, Accepted 12 Jan 2022, Published online: 12 Feb 2022

References

  • Al-Jabar, A.J.A., M.A.A. Al-dujaili, and I.A.D. Al-hydary. 2017. “Prediction of the Physical Properties of Barium Titanates Using an Artificial Neural network.“ Applied Physics A 123 (274): 1–12. 10.1007/s00339-017-0885-6.
  • Ankit, Agrawala, and Choudhary Alok. 2016. “Perspective: Materials Informatics and Big Data: Realization of the “Fourth Paradigm” of Science in Materials Science.” APL Materials 4 (5): 053208. doi:10.1063/1.4946894.
  • Atta Ur Rehman Shah, M. N. Prabhakar. 2017. “Jung-Il Song, Current Advances in the Fire Retardancy of Natural Fiber and Bio-Based Composites – A Review.” International Journal of Precision Engineering and Manufacturing-Green Technology 4 (2): 247–262. doi:10.1007/s40684-017-0030-1.
  • Bartok, A.P., M.C. Payne, R. Kondor, and G. Csanyi. 2 2010. “Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons.” Physical Review Letters 104 13: 136403.10.1103/PhysRevLett.104.136403
  • Bock, Frederic E., Roland C. Aydin, Christian J. Cyron, Norbert Huber, Surya R. Kalidhini, and Benjamin Klusemann. 2019. “A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics.” Front. Mater 6. doi:10.3389/fmats.2019.00110.
  • Bunn, J.K., S. Han, Y. Zhang, Y. Tong, J. Hu, and J.R. Hattrick-Simpers. 2015. “Generalized Machine Learning Technique for Automatic Phase Attribution in Time Variant High-throughput Experimental Studies.” Journal of Materials Research 30 (7 4): 879–889. doi:10.1557/jmr.2015.80.
  • Chibani, Siwar, and François-Xavier Couderta. 2020. “Machine Learning Approaches for the Prediction of Materials Properties.” APL Mater 8 (8): 080701. doi:10.1063/5.0018384.
  • Chikkol Venkateshappa, Srinivasa, Suresh Yalaburgi Jayadevappa, and Prema Kumar Wooday Puttiah. 2012. “Mechanical Behavior of Areca Fiber Reinforced Epoxy Composites.” Advances in Polymer Technology 31 (4): 319–330. doi:10.1002/adv.20255.
  • Dhaliwal, G., P.B. Nair, and C.V. Singh. 2019. “Uncertainty Analysis and Estimation of Robust AIREBO Parameters for Graphene.” Carbon 142: 300–310. doi:10.1016/j.carbon.2018.10.020.
  • Editorial. 2006. “Recent Advances in Data Mining.” Engineering Applications of Artificial Intelligence 19 (4): 361–362. doi:10.1016/j.engappai.2006.01.015.
  • George Adeniyi, Adewale, Joshua O. Ighalo, and Damilola Victoria Onifade. 2019. “Banana and Plantain Fiber-reinforced Polymer Composites.” J Polym Eng 39 (7): 597–611. doi:10.1515/polyeng-2019-0085.
  • Gholampour, Aliakbar, and Togay Ozbakkaloglu. 2019. “A Review of Natural Fiber Composites: Properties, Modification and Processing Techniques, Characterization, Applications.” Journal of Material Science. doi:10.1007/s10853-019-03990-y.
  • Guo, Kai, Zhenze Yang, Yu Chi-Hua, and Markus J. Buehler. 2021. “Artificial Intelligence and Machine Learning in Design of Mechanical Materials, Mater.” Horiz 8: 1153. doi:10.1039/d0mh01451f.
  • Han, Jiswei, Micheline Kamber, and Jian Pei. 2012. Data Mining: Concepts and Techniques. 3rd ed. Waltham, USA: Morgan Kaufmann Publishers is an imprint of Elsevier.
  • Harding, J. A., M Shahbaz, Srinivas, and A. Kusiak. 2006. “Data Mining in Manufacturing: A Review.” J. Manuf. Sci. Eng 128 (4): 969–976 (8). doi:10.1115/1.2194554.
  • Hattrick-Simpers, J.R., J.M. Gregoire, and A.G. Kusne. 2016. “Perspective: Composition–structure–property Mapping in High-throughput Experiments: Turning Data into Knowledge.” APL Materials 4 ( 053211): 2832–2522. doi:10.1063/1.4950995.
  • Hedau, Vandit, Pushpesh Pant, and Kuldeep Sharma. 2016. “Material Selection Using Association Rule Mining.“ International Journal of Advanced Research in Computer Science 7 (3): 230–234.
  • Hidalgo-Salazar, A.M., and P.Correa Juan. 2017. “Mechanical and Thermal Properties of Biocomposites from Nonwoven Industrial Fique Fiber Mats with Epoxy Resin and Linear Low Density Polyethylene.” Results in Physics. doi:10.1016/j.rinp.2017.12.025.
  • Huber, Norbert, Surya R. Kalidindi, Benjamin Klusemann, and Christian J. Cyron. 2020. “Editorial: Machine Learning and Data Mining in Materials Science.” Frontiers in Materials 7. Article 51. doi:10.3389/fmats.2020.00051.
  • Ichetaonye, S. I., I. C. Madufor, M. E. Yibowei, and D. N. Ichetaonye. 2015. “Physico-Mechanical Properties of Luffa Aegyptiaca Fiber Reinforced Polymer Matrix Composite.” Open Journal of Composite Materials 5 (4): 110–117. doi:10.4236/ojcm.2015.54014.
  • Jaafar, Jamiluddin, Tezara Cionita, Januar Parlaungan Siregar, Salwani Mohd Salleh, Mohd Hazim Mohd Hamdan, and Teuku Rihayat. 2019. “Important Considerations in Manufacturing of Natural Fiber Composites: A Review.” International Journal of Precision Engineering and Manufacturing-Green Technology. doi:10.1007/s40684-019-00097-2.
  • Jacob Olaitan, AKINDAPO, OGABI Rapheal Oluwatoyin, AGOV Emmanuel Terhemen, and GARBA Danladi King. 2017. “Comparative Assessment of Mechanical Properties of Groundnut Composites.” American Journal of Mechanical Engineering 5 (3): 76–86.
  • Jain, Jyoti, Shorab Jain, and Shishir Sinha. 2018. “Characterization and Thermal Kinetic Analysis of Pineapple Leaf Fibers and Their Reinforcement in Epoxy.” Journal of Elastomers & Plastics 1–20. doi:10.1177/0095244318783024.
  • Jariwala, Hitesh, and Piyush Jain. 2019. “A Review on Mechanical Behavior of Natural Fiber Reinforced Polymer Composites and Its Applications.” Journal of Reinforced Plastics and Composites 1–13. doi:10.1177/0731684419828524.
  • Kalidindi, S.R., J.A. Gomberg, Z.T. Trautt, and C.A. Becker. 28 2015. “Application of Data Science Tools to Quantify and Distinguish between Structures and Models in Molecular Dynamics Datasets.” Nanotechnology 26 34: 344006.10.1088/0957-4484/26/34/344006
  • Khan, Mohammad ZR, Sunil K Srivastava, and MK Gupta. 2018. “Tensile and Flexural Properties of Natural Fiber Reinforced Polymer Composites: A Review.” Journal of Reinforced Plastics and Composites 1–21. doi:10.1177/0731684418799528.
  • Kumar Rajak, Dipen, Emanoil Linul, Durgesh D. Pagar, and Pradeep L. Menezes. 2019. “Fiber Reinforced Polymer Composites: Manufacturing.” Properties, and Applications, Polymers 11: 1667. doi:10.3390/polym11101667.
  • Kumar, Santosh, Divya Zindani, Rakesh Bhoomani, and K. Santhosh Kumar, “Study the Mechanical Properties of Corncob Husk Filler Reinforced Epoxy Composite”, AIP Conference Proceedings, CMR Institute of Technology, Medchal, Hyderabad -50401, India. 2200, 020095, 2019. doi: 10.1063/1.5141265.
  • Liu, Yingli, Chen Niu, Zhuo Wang, Yong Gan, Yan Zhu, Shuhong Sun, and Tao Shen. 2020. “Machine Learning in Materials Genome Initiative: A Review.” Journal of Materials Science & Technology. doi:10.1016/j.jmst.2020.01.067.
  • Liu, Yue, Tianlu Zhao, and Siqi Shi WangweiJu. 2017. “Materials Discovery and Design Using Machine Learning.” Journal of Materiomics 3 (3): 159–177. doi:10.1016/j.jmat.2017.08.002.
  • Menon, Aditya, James A.Thompson Colon, and Newell R. Washburn. 2019. “Hierarchical Machine Learning Model for Mechanical Property Predictions of Polyurethane Elastomers from Small Datasets.” Front. Mater 6. doi:10.3389/fmats.2019.00087.
  • Meredig, B., A. Agrawal, S. Kirklin, J.E. Saal, J.W. Doak, A. Thompson, K. Zhang, A. Choudhary, and C. Wolverton. 2014. “Combinatorial Screening for New Materials in Unconstrained Composition Space with Machine Learning.” Physical Review, B 89 (9): 82–84. doi:10.1103/PhysRevB.89.094104.
  • Mittal, Mohit. 2018. “Rajiv Chaudhary, Biodegradability and Mechanical Properties of Pineapple Leaf/Coir Fiber Reinforced Hybrid Epoxy Composites, Mater.” Res. Express 6 (1): 015313. doi:10.1088/2053-1591/aaf8d6.
  • Munoz, E., and J. A. Garcia-Manrique. 2015. “Water Absorption Behaviour and Its Effect on the Mechanical Properties of Flax Fibre Reinforced Bioepoxy Composites.” International Journal of Polymer Science 10. doi:10.1155/2015/390275. Article ID 390275.
  • Narendar, Raguramsingh, Keereyadath Priya Dasan, and Kuppachari Rajendran. 2017. “Coir Pith/Nylon/Epoxy Hybrid Composites and Their Thermal Properties: Thermogravimetric Analysis, Thermal Ageing, and Heat Deflection Temperature.” Journal of Vinyl & Additive Technology. doi:10.1002/vnl.21594.
  • Pilania, G., P.V. Balachandran, C. Kim, and T. Lookman. 2016. “Finding New Perovskite Halides via Machine Learning.” Frontier in Materials 3: 1–7. doi:10.3389/fmats.2016.00019.
  • Prabhakar, M. N., K. Chowdoji Rao Atta Ur Rehman Shah, and Jung-Il Song. 2015. “Mechanical and Thermal Properties of Epoxy Composites Reinforced with Waste Peanut Shell Powder as a Bio-filler.” Fibers and Polymers 16 (5): 1119–1124. doi:10.1007/s12221-015-1119-1.
  • Sakthi Balan, G., A. Mohana Krishnan, S. Saravanavel, Ravichandran, M. “Investigation on Properties of Bahunia Racemosa Fiber and Egg Shell Powder Reinforced Polymer Composite”, Materials Today: Proceedings, 2020, 10.1016/j.matpr.2020.06.544
  • Sakthi Balan, G., and M. Ravichandran, “Study of Moisture Absorption Characteristics of Jute Fiber Reinforced Waste Plastic Filled Polymer Composite”, Materials Today: Proceedings, CMR Technical Campus, Kandlakoya Village, Medchal (Md & District), Hyderabad-501401, Telangana, India., 2019. doi:10.1016/j.matpr.2019.11.260.
  • Sakthi Balan, G., M. Ravichandran, and V. Santhosh Kumar. 2020. “Study of Ageing Effect on Mechanical Properties of Prosopis Juliflora Fibre Reinforced Palm Seed Powder Filled Polymer Composite.” Australian Journal of Mechanical Engineering. doi:10.1080/14484846.2020.1806194.
  • Sakthi Balan, G., N. Ganesh, and M. Ravichandran. 2019. “Study of Tribological and Water Intake Characteristics of Epoxy Based Hybrid Composite.” Materials Today: Proceedings 23 (Pt 1): 43–48. doi:10.1016/j.matpr.2019.11.324.
  • Schmidt, Jonathan, Mario R. G. Marques, Silvana Botti, and Miguel A. L. Marques. 2019. “Recent Advances and Applications of Machine Learning in Solid State Materials Science.” NPJ Computational Materials 5: 83. doi:10.1038/s41524-019-0221-0.
  • Stefano, C., M. Dane, P. Kristin, R. John, and C. Gerbrand. 2003. “Predicting Crystal Structures with Data Mining of Quantum Calculations.” Physical Review Letters 91 (13): 135503. doi:10.1103/PhysRevLett.91.135503.
  • Varol, T., A. Canakci, and S. Ozsahin. 2013. “Artificial Neural Network Modeling to Effect of Reinforcement Properties on the Physical and Mechanical Properties of Al2024–B4C Composites Produced by Powder Metallurgy, Composites.” Part. B-Eng 54: 224–233. doi:10.1016/j.compositesb.2013.05.015.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.