The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates
Low weight and high strength requirements are prime target design objectives in strength demanding applications. Skillful design of low density, low weight and eco-friendly natural fiber composites could provide an alternative material route to the actualization of lighter structures. The present st...
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Semnan University
2021-04-01
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| Series: | Mechanics of Advanced Composite Structures |
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| Online Access: | https://macs.semnan.ac.ir/article_4966_953a6a4f36f7fecec8d819b2c77e3632.pdf |
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| author | Christian Emeka Okafor Christopher Chukwutoo Ihueze |
| author_facet | Christian Emeka Okafor Christopher Chukwutoo Ihueze |
| author_sort | Christian Emeka Okafor |
| collection | DOAJ |
| description | Low weight and high strength requirements are prime target design objectives in strength demanding applications. Skillful design of low density, low weight and eco-friendly natural fiber composites could provide an alternative material route to the actualization of lighter structures. The present study proposed ANN-FEM computational framework for the macro-mechanical analysis of multi-oriented Plantain Empty Fruit Bunch Fiber Laminate (PEFBFL) and Plantain Pseudo Stem Fiber Laminate (PPSFL). Control factors were numerically varied using Finite Element Method (FEM) and the resultant FEM models which encapsulated material properties of the laminate was streamlined into Artificial Neural Network (ANN) training scheme. A standard feed-forward backpropagation network was adopted and the ANN model consists of stacking sequence, laminate aspect ratio and fiber orientation as input variables while the selected network outputs variables include average stress and displacement. The laminate constitutive equation was developed which enabled the establishment of laminate load deformation affiliation and equivalent elastic constants. The damage onset for individual lamina was detected by the maximum principal stress theory and the overall laminate strength of 40.12 N/mm^2 was obtained for PEFBFL and 32.16N/mm^2 for PPSFL. On the whole, there was steady reduction in laminates elastic modulus which points to compromised stiffness in material principal axis arising from gradual failure of the plies, this trend continued until the last ply failure occurred in ply 3 and 4 at 90 degrees in tensile mode of transverse direction. Stresses and displacements observed using CLT agree very closely with predictions of ANN. |
| format | Article |
| id | doaj-art-6d562569a3bf4696bb06aefdada75ed6 |
| institution | DOAJ |
| issn | 2423-4826 2423-7043 |
| language | English |
| publishDate | 2021-04-01 |
| publisher | Semnan University |
| record_format | Article |
| series | Mechanics of Advanced Composite Structures |
| spelling | doaj-art-6d562569a3bf4696bb06aefdada75ed62025-08-20T02:49:23ZengSemnan UniversityMechanics of Advanced Composite Structures2423-48262423-70432021-04-0181516810.22075/macs.2021.20579.12634966The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester LaminatesChristian Emeka Okafor0Christopher Chukwutoo Ihueze1Department of Mechanical Engineering, Nnamdi Azikiwe University, Awka, NigeriaDepartment of Industrial and Production Engineering, Nnamdi Azikiwe University, Awka, NigeriaLow weight and high strength requirements are prime target design objectives in strength demanding applications. Skillful design of low density, low weight and eco-friendly natural fiber composites could provide an alternative material route to the actualization of lighter structures. The present study proposed ANN-FEM computational framework for the macro-mechanical analysis of multi-oriented Plantain Empty Fruit Bunch Fiber Laminate (PEFBFL) and Plantain Pseudo Stem Fiber Laminate (PPSFL). Control factors were numerically varied using Finite Element Method (FEM) and the resultant FEM models which encapsulated material properties of the laminate was streamlined into Artificial Neural Network (ANN) training scheme. A standard feed-forward backpropagation network was adopted and the ANN model consists of stacking sequence, laminate aspect ratio and fiber orientation as input variables while the selected network outputs variables include average stress and displacement. The laminate constitutive equation was developed which enabled the establishment of laminate load deformation affiliation and equivalent elastic constants. The damage onset for individual lamina was detected by the maximum principal stress theory and the overall laminate strength of 40.12 N/mm^2 was obtained for PEFBFL and 32.16N/mm^2 for PPSFL. On the whole, there was steady reduction in laminates elastic modulus which points to compromised stiffness in material principal axis arising from gradual failure of the plies, this trend continued until the last ply failure occurred in ply 3 and 4 at 90 degrees in tensile mode of transverse direction. Stresses and displacements observed using CLT agree very closely with predictions of ANN.https://macs.semnan.ac.ir/article_4966_953a6a4f36f7fecec8d819b2c77e3632.pdflaminate ply forcesmacro-mechanical analysisplantain fiber compositeartificial neural networkfinite element method |
| spellingShingle | Christian Emeka Okafor Christopher Chukwutoo Ihueze The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates Mechanics of Advanced Composite Structures laminate ply forces macro-mechanical analysis plantain fiber composite artificial neural network finite element method |
| title | The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates |
| title_full | The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates |
| title_fullStr | The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates |
| title_full_unstemmed | The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates |
| title_short | The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates |
| title_sort | graft of ann fem technique in macro mechanics of multi oriented natural fiber polyester laminates |
| topic | laminate ply forces macro-mechanical analysis plantain fiber composite artificial neural network finite element method |
| url | https://macs.semnan.ac.ir/article_4966_953a6a4f36f7fecec8d819b2c77e3632.pdf |
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