Determining the Mechanical Properties of a New Composite Material using Artificial Neural Networks

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2018 by IJETT Journal
Volume-66 Number-2
Year of Publication : 2018
Authors : Emilia Ciupan, Mihai Ciupan, Daniela-Corina Jucan
DOI :  10.14445/22315381/IJETT-V66P218

Citation 

MLA Style: Emilia Ciupan, Mihai Ciupan, Daniela-Corina Jucan "Determining the Mechanical Properties of a New Composite Material using Artificial Neural Networks" International Journal of Engineering Trends and Technology 66.2 (2018): 103-108.

APA Style:Emilia Ciupan, Mihai Ciupan, Daniela-Corina Jucan (2018). Determining the Mechanical Properties of a New Composite Material using Artificial Neural Networks. International Journal of Engineering Trends and Technology, 66(2), 103-108.

Abstract
The paper studies the possibility of using artificial neural networks (ANN) to determine certain mechanical properties of a new composite material. This new material is obtained by a mixture of hemp and polypropylene fibres. The material was developed for the industry of upholstered furniture. Specifically, it is intended for the making of elements of the support structure of some upholstered goods (chairs, armchairs, sofa sides) with the objective of replacing wood. The paper aims to calculate the following mechanical properties: maximum tensile strength and maximum elongation.

Reference
[1] E. Ciupan, L. L?z?rescu, I. Filip, C. Ciupan, E. Câmpean, I. Cionca and E. Pop, ?Characterization of a thermoforming composite material made from hemp fibers and polypropylene?, The 13th Modern Technologies in Manufacturing, Cluj-Napoca, Romania, in MATEC Web of Conferences, Vol. 137, p. 30, 2017.
[2] Standard Test Method for Tensile Properties of Polymer Matrix Composite Materials, ASTM std. ASTM D3039/D3039M, 2017.
[3] Zwick/Roell (2018) Specimen Grips — Keep a Tight Grip on Your Specimen. [Online], Available: https://www.zwick.com/en/specimen-grips
[4] E. Campean, L. Morar, P. Baru, C. Bordea, D. Pop, ?Aspects Regarding some Simulation Models for Logistic Management?, Procedia Economics and Finance, vol. 3, pp. 1036-1041, 2012.
[5] M. A. Mohammed, M. K. A. Ghani, N. Arunkumar, R. I. Hamed, S. A. Mostafa, M. K. Abdullah, M. A. Burhanuddin, ?Decision support system for nasopharyngeal carcinoma discrimination from endoscopic images using artificial neural network?, The Journal of Supercomputing, pp. 1-19, Sep. 2018.
[6] V. E. Chi?, C. B?rbulescu, ?. Kilyeni, S. Dzitac, ?ANN based Short-Term Load Curve Forecasting?, International Journal of Computers Communications & Control, Vol. 13, No. 6, pp. 938-955, 2018.
[7] T. Dutta, S. Dey, S. Datta et al., ?Designing dual-phase steel with improved performance using ANN and GA in tandem?, Computational Materials Science, Vol. 157, pp. 6-16, Feb. 2019.
[8] A. Khosravi, R.N.N.Koury, L.Machado, J.J.G.Pabon, ?Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system?, Sustainable Energy Technologies and Assessments, Vol. 25, pp. 146-160, Feb. 2018.
[9] M. Al-Shawwa, A. Al-Rahman Al-Absi, S. A. Hassanein, K. A. Baraka, S. S. Abu-Naser, ?Predicting Temperature and Humidity in the Surrounding Environment Using Artificial Neural Network?, International Journal for Academic Development, Vol. 2(9), pp. 1-6, Sep. 2018.
[10] S. Ravikanti, D. Ganesh, ?Smart Farming: A Techno Agriculture Advancement Powered by Machine Learning?, International Journal of Engineering Trends and Technology, vol. 64, No. 1, pp. 48-52, Oct. 2018.
[11] R. Srivastava, ?Artificial Intelligence in the Legal Industry: A Boon or a Bane for the Legal Profession.?, International Journal of Engineering Trends and Technology, vol. 64, No. 3, pp. 131-138, Oct. 2018.
[12] A. Akl, A. Moustafa, I. El-Henawyv, ?Deep Learning: Approaches and Challenges?, International Journal of Engineering Trends and Technology, vol. 65, No. 1, pp. 9-16, Nov. 2018.

Keywords
ANN, Mechanical properties, Composite material, Hemp.