| تعداد نشریات | 24 |
| تعداد شمارهها | 929 |
| تعداد مقالات | 8,346 |
| تعداد مشاهده مقاله | 16,807,307 |
| تعداد دریافت فایل اصل مقاله | 14,118,809 |
Modeling and Predicting the Important Properties of the PVC/Glass Fiber Composite Laminates in the Production Process by the TLBO-ANFIS Approach | ||
| Iranian Journal of Materials Forming | ||
| دوره 8، شماره 4، دی 2021، صفحه 63-75 اصل مقاله (3.12 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22099/ijmf.2021.41242.1190 | ||
| نویسندگان | ||
| Ehsan Sherkatghanad1؛ Hasan Moslemi Naeini* 1؛ Amir Hossein Rabiee2؛ Ali Zeinolabedin Beygi1؛ Vahid Zal1؛ Lihui Lang3 | ||
| 1Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran | ||
| 2Department of Mechanical Engineering, Arak University of Technology, Arak, Iran | ||
| 3School of Mechanical Engineering and Automation, Beihang University, Beijing, China | ||
| چکیده | ||
| In this paper, by considering the temperature, time, and process pressure, as the most important factors in producing the thermoplastic composites, an experimental design was performed. An adaptive neuro-fuzzy inference system (ANFIS) was utilized to estimate the important characteristics containing flexural strength, porosity volume ratio, fiber volume ratio, and flexural modulus. Then, the parameters of the ANFIS network were optimized by the teaching-learning-based optimization (TLBO) algorithm. For the purpose of modeling material behavior in the process, the experimental results were utilized for the training and validation of the adaptive inference system. The accuracy of the obtained model has been investigated by using different graphs, based on the statistical criteria of the mean absolute error, correlation coefficient, mean square error, and the percentage of mean absolute error. Based on the obtained results, the TLBO-ANFIS approach has been very effective in estimating the above-mentioned properties in the production process. The network error for estimating flexural strength, porosity volume ratio, fiber volume ratio, and flexural modulus in the teaching section was equal to 0.159%, 0.0003%, 1.074%, and 0.0001%, and the corresponding values were equal to 0.852%, 42.413%, 33.95%, and 4.894% in the testing section. | ||
| کلیدواژهها | ||
| Thermoplastic composites؛ ANFIS network؛ Teaching-learning-based algorithm؛ Hot press | ||
| مراجع | ||
|
[1] Q. Liu, Y. Lin, G. Sun, Q. Li, Lightweight design of carbon twill weave fabric composite body structure for electric vehicle, Composite Structures, 97 (2013) 231-238.
[2] S. Davey, R. Das, W.J. Cantwell, S. Kalyanasundaram, Forming studies of carbon fibre composite sheets in dome forming processes, Composite Structures, 97 (2013) 310-316.
[3] S.F. Hwang, K. Hwang, Stamp forming of locally heated thermoplastic composites, Composites Part A: Applied Science and Manufacturing, 33(5) (2002) 669-676.
[4] W. Hufenbach, R. Böhm, M. Thieme, A. Winkler, E. Mäder, J. Rausch, M. Schade, Polypropylene/glass fibre 3D-textile reinforced composites for automotive applications, Materials & Design, 32(3) (2011) 1468-1476.
[5] W. Wu, L. Xie, B. Jiang, G. Ziegmann, Simultaneous binding and toughening concept for textile reinforced pCBT composites: Manufacturing and flexural properties, Composite Structures, 105 (2013) 279-287.
[6] H. Parton, I. Verpoest, In situ polymerization of thermoplastic composites based on cyclic oligomers, Polymer composites, 26(1) (2005) 60-65.
[7] J.L. Thomason, U. Nagel, L. Yang, D. Bryce, A study of the thermal degradation of glass fibre sizings at composite processing temperatures, Composites Part A: Applied Science and Manufacturing, 121 (2019) 56-63.
[8] L. Ye, K. Friedrich, J. Kästel, Y.W. Mai, Consolidation of unidirectional CF/PEEK composites from commingled yarn prepreg, Composites science and technology, 54(4) (1995) 349-358.
[9] C. Mayer, X. Wang, M. Neitzel, Macro-and micro-impregnation phenomena in continuous manufacturing of fabric reinforced thermoplastic composites, Composites Part A: Applied Science and Manufacturing, 29(7) (1998) 783-93.
[10] S.H. Han, H.J. Oh, S.S. Kim, Evaluation of the impregnation characteristics of carbon fiber-reinforced composites using dissolved polypropylene, Composites science and technology, 91(2014) 55-62.
[11] N. Ferreira, C. Capela, J.M. Ferreira, J.M. Costa, Effect of water and fiber length on the mechanical properties of polypropylene matrix composites, Fibers and Polymers, 15(5) (2014) 1017-1022.
[12] M. Jonoobi, Y. Aitomäki, A.P. Mathew, K. Oksman, Thermoplastic polymer impregnation of cellulose nanofibre networks: morphology, mechanical and optical properties, Composites Part A: Applied Science and Manufacturing, 58 (2014) 30-35.
[13] V. Zal, H. Moslemi Naeini, A.R. Bahramian, A.H. Behravesh, B. Abbaszadeh, Investigation and analysis of glass fabric/PVC composite laminates processing parameters, Science and Engineering of Composite Materials, 25(3) (2018) 529-540.
[14] V. Zal, H. Moslemi Naeini, A.R. Bahramian, B. Abbaszadeh, Experimental evaluation of blanking and piercing of PVC based composite and hybrid laminates, Advances in Manufacturing, 4(3) (2016) 248-256.
[15] V. Zal, H. Moslemi Naeini, A.R. Bahramian, J. Sinke, Investigation of the effect of temperature and layup on the press forming of polyvinyl chloride-based composite laminates and fiber metal laminates, The International Journal of Advanced Manufacturing Technology, 89(1-4) (2017) 207-217.
[16] V. Zal, H. Moslemi Naeini, A.R. Bahramian, H. Abdollahi, A.H. Behravesh, Investigation of the effect of processing temperature on the elastic and viscoelastic properties of PVC/fiberglass composite laminates, Modares Mechanical Engineering, 15(11) (2016) 9-16.
[17] K.J. Narayana, R.G. Burela, A review of recent research on multifunctional composite materials and structures with their applications, Materials Today: Proceedings, 5(2) (2018) 5580-5590.
[18] M.M. Maciel, S. Ribeiro, C. Ribeiro, A. Francesko, A. Maceiras, J.L. Vilas, S. Lanceros-Méndez, Relation between fiber orientation and mechanical properties of nano-engineered poly (vinylidene fluoride) electrospun composite fiber mats, Composites Part B: Engineering, 139 (2018) 146-54.
[19] J.Köbler, M.Schneider, F.Ospald, H.Andrä, R.Müller, Fiber orientation interpolation for the multiscale analysis of short fiber reinforced composite parts. Computational Mechanics. (2018) 61(6):729-50.
[20] I. Maher, M.E.H. Eltaib, A.A. Sarhan, R.M. El-Zahry, Investigation of the effect of machining parameters on the surface quality of machined brass (60/40) in CNC end milling—ANFIS modeling, The International Journal of Advanced Manufacturing Technology, 74(1-4) (2014) 531-537.
[21] M. Safari, V. Tahmasbi A.H. Rabiee, Investigation into the automatic drilling of cortical bones using ANFIS-PSO and sensitivity analysis, Neural Computing and Applications, (2021) 1-19.
[22] A. Yaghoobi, M. Bakhshi-Jooybari, A. Gorji, H. Baseri, Application of adaptive neuro fuzzy inference system and genetic algorithm for pressure path optimization in sheet hydroforming process, The International Journal of Advanced Manufacturing Technology, 86(9) (2016) 2667-2677.
[23] Y.D. Asl, Y.Y. Woo, Y. Kim Y.H. Moon, Non-sorting multi-objective optimization of flexible roll forming using artificial neural networks, The International Journal of Advanced Manufacturing Technology, 107(5) (2020) 2875-2888.
[24] M. Safari, M. Salamat-Talab, A. Abdollahzadeh, A. Akhavan-Safar, L.F.M. da Silva, Experimental investigation, statistical modeling and multi-objective optimization of creep age forming of fiber metal laminates. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 234(11) (2020) 1389-1398.
[25] M. Valente, F. Sarasini, F. Marra, J. Tirillò, G. Pulci, Hybrid recycled glass fiber/wood flour thermoplastic composites: Manufacturing and mechanical characterization, Composites Part A: Applied Science and Manufacturing, 42(6) (2011) 649-657.
[26] R. Yahaya, S.M. Sapuan, M. Jawaid, Z. Leman, E.S. Zainudin, Effect of layering sequence and chemical treatment on the mechanical properties of woven kenaf–aramid hybrid laminated composites, Materials & Design, 67 (2015) 173-179.
[27] J.A.M. Ferreira, C. Capela, J.D. Costa, A study of the mechanical behaviour on fibre reinforced hollow microspheres hybrid composites, Composites Part A: Applied Science and Manufacturing, 41(3) (2010) 345-352. | ||
|
آمار تعداد مشاهده مقاله: 627 تعداد دریافت فایل اصل مقاله: 674 |
||