Robust Design and Intelligent Modelling of Organic-Based Composites for Armoury Applications

The study focused on assessing selected organic fillers’ impact (periwinkle and clam shells) on the physicochemical and mechanical properties of polyester composites. The tensile, compressive, flexural and Brinell hardness tests were respectively carried out in accordance to ASTM standards. The meth...

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Veröffentlicht in:SN computer science 2024-10, Vol.5 (7), p.832
Hauptverfasser: Ihueze, Christopher Chukwutoo, Okafor, Christian Emeka, Omeiza, Obende Ezekiel
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description The study focused on assessing selected organic fillers’ impact (periwinkle and clam shells) on the physicochemical and mechanical properties of polyester composites. The tensile, compressive, flexural and Brinell hardness tests were respectively carried out in accordance to ASTM standards. The methods involved grinding and sieve analysis of the shells, material preparation, and Taguchi robust design aided by Plackett–Burman screening. Signal-to-noise ratio analysis guided composite fabrication. The process control variables were grouped in terms of particles sizes: 75, 150, 425 µm, weight fraction: 5%, 20%, 40% and material thickness: 5, 15, 25 mm. The Artificial Neural Network (ANN) training was carried out using MATLAB R2013a and the cascade-forward back-propagation architecture while Adaptive network-based fuzzy system (ANFIS) which is a well-known hybrid artificial intelligence model was subsequently applied. The geometrical model of 9 mm FMJ armour piercing ammunition projectile and the armour plate was modeled using a commercial finite element software package (ANSYS v14) suitable for high velocity impact. The Finite Element Analysis (FEA) further investigates the deformation, elastic strain, and stress response of clam and periwinkle reinforced composites under ballistic impact. Scanning Electron Microscopy (SEM), Fourier transform infrared (FTIR), Differential scanning calorimetry (DSC) and Thermogravimetric analysis (TGA)/Differential thermal analysis (DTA) were deployed to further study the morphology, chemical composition, phase transitions and thermal stability of the optimal material. The results revealed that the clam shell reinforced composite have mechanical responses of 11.038 MPa, 17.07 MPa, 40.2 MPa, and 69.62 N/mm for tensile, compressive, flexural, and hardness strength respectively. While the periwinkle shell reinforced composite has mechanical responses of 16.111 MPa, 17.173 MPa, 39.7 MPa, and 63.57 N/mm for tensile, compressive, flexural, and hardness strength respectively. FEA results indicate decreasing deformation, elastic strain, and stress with increasing material thickness. The investigation carried out indicated the impact of the organic fillers and showed that the new material properties depend on the reinforcement combinations of control parameters.
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The Finite Element Analysis (FEA) further investigates the deformation, elastic strain, and stress response of clam and periwinkle reinforced composites under ballistic impact. Scanning Electron Microscopy (SEM), Fourier transform infrared (FTIR), Differential scanning calorimetry (DSC) and Thermogravimetric analysis (TGA)/Differential thermal analysis (DTA) were deployed to further study the morphology, chemical composition, phase transitions and thermal stability of the optimal material. The results revealed that the clam shell reinforced composite have mechanical responses of 11.038 MPa, 17.07 MPa, 40.2 MPa, and 69.62 N/mm for tensile, compressive, flexural, and hardness strength respectively. While the periwinkle shell reinforced composite has mechanical responses of 16.111 MPa, 17.173 MPa, 39.7 MPa, and 63.57 N/mm for tensile, compressive, flexural, and hardness strength respectively. 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The geometrical model of 9 mm FMJ armour piercing ammunition projectile and the armour plate was modeled using a commercial finite element software package (ANSYS v14) suitable for high velocity impact. The Finite Element Analysis (FEA) further investigates the deformation, elastic strain, and stress response of clam and periwinkle reinforced composites under ballistic impact. Scanning Electron Microscopy (SEM), Fourier transform infrared (FTIR), Differential scanning calorimetry (DSC) and Thermogravimetric analysis (TGA)/Differential thermal analysis (DTA) were deployed to further study the morphology, chemical composition, phase transitions and thermal stability of the optimal material. The results revealed that the clam shell reinforced composite have mechanical responses of 11.038 MPa, 17.07 MPa, 40.2 MPa, and 69.62 N/mm for tensile, compressive, flexural, and hardness strength respectively. 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Okafor, Christian Emeka ; Omeiza, Obende Ezekiel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p720-b9397a6705c8c2a08a4aacc8ebad03fb1a46f9a149724b57bc4c677ce618b7f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adaptive systems</topic><topic>Armor penetration</topic><topic>Artificial intelligence</topic><topic>Artificial neural networks</topic><topic>Back propagation networks</topic><topic>Brinell hardness tests</topic><topic>Chemical composition</topic><topic>Composite fabrication</topic><topic>Composite materials</topic><topic>Computer Imaging</topic><topic>Computer Science</topic><topic>Computer Systems Organization and Communication Networks</topic><topic>Data Structures and Information Theory</topic><topic>Datasets</topic><topic>Design of experiments</topic><topic>Elastic deformation</topic><topic>Elastic properties</topic><topic>Fillers</topic><topic>Finite element method</topic><topic>Fourier transforms</topic><topic>Heat resistance</topic><topic>Impact analysis</topic><topic>Information Systems and Communication Service</topic><topic>Interfacial bonding</topic><topic>Machine learning</topic><topic>Manufacturing</topic><topic>Mathematical models</topic><topic>Mechanical properties</topic><topic>Neural networks</topic><topic>Noise control</topic><topic>Original Research</topic><topic>Particle size</topic><topic>Pattern Recognition and Graphics</topic><topic>Phase transitions</topic><topic>Polymers</topic><topic>Projectiles</topic><topic>Research Advancements in Intelligent Computing</topic><topic>Shell stability</topic><topic>Sieve analysis</topic><topic>Signal to noise ratio</topic><topic>Software Engineering/Programming and Operating Systems</topic><topic>Strain</topic><topic>Tensile strength</topic><topic>Thermal stability</topic><topic>Thickness</topic><topic>Vision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ihueze, Christopher Chukwutoo</creatorcontrib><creatorcontrib>Okafor, Christian Emeka</creatorcontrib><creatorcontrib>Omeiza, Obende Ezekiel</creatorcontrib><collection>ProQuest Computer Science Collection</collection><jtitle>SN computer science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ihueze, Christopher Chukwutoo</au><au>Okafor, Christian Emeka</au><au>Omeiza, Obende Ezekiel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Design and Intelligent Modelling of Organic-Based Composites for Armoury Applications</atitle><jtitle>SN computer science</jtitle><stitle>SN COMPUT. 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The Artificial Neural Network (ANN) training was carried out using MATLAB R2013a and the cascade-forward back-propagation architecture while Adaptive network-based fuzzy system (ANFIS) which is a well-known hybrid artificial intelligence model was subsequently applied. The geometrical model of 9 mm FMJ armour piercing ammunition projectile and the armour plate was modeled using a commercial finite element software package (ANSYS v14) suitable for high velocity impact. The Finite Element Analysis (FEA) further investigates the deformation, elastic strain, and stress response of clam and periwinkle reinforced composites under ballistic impact. Scanning Electron Microscopy (SEM), Fourier transform infrared (FTIR), Differential scanning calorimetry (DSC) and Thermogravimetric analysis (TGA)/Differential thermal analysis (DTA) were deployed to further study the morphology, chemical composition, phase transitions and thermal stability of the optimal material. The results revealed that the clam shell reinforced composite have mechanical responses of 11.038 MPa, 17.07 MPa, 40.2 MPa, and 69.62 N/mm for tensile, compressive, flexural, and hardness strength respectively. While the periwinkle shell reinforced composite has mechanical responses of 16.111 MPa, 17.173 MPa, 39.7 MPa, and 63.57 N/mm for tensile, compressive, flexural, and hardness strength respectively. FEA results indicate decreasing deformation, elastic strain, and stress with increasing material thickness. The investigation carried out indicated the impact of the organic fillers and showed that the new material properties depend on the reinforcement combinations of control parameters.</abstract><cop>Singapore</cop><pub>Springer Nature Singapore</pub><doi>10.1007/s42979-024-03199-0</doi><orcidid>https://orcid.org/0000-0001-6259-0999</orcidid></addata></record>
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subjects Adaptive systems
Armor penetration
Artificial intelligence
Artificial neural networks
Back propagation networks
Brinell hardness tests
Chemical composition
Composite fabrication
Composite materials
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data Structures and Information Theory
Datasets
Design of experiments
Elastic deformation
Elastic properties
Fillers
Finite element method
Fourier transforms
Heat resistance
Impact analysis
Information Systems and Communication Service
Interfacial bonding
Machine learning
Manufacturing
Mathematical models
Mechanical properties
Neural networks
Noise control
Original Research
Particle size
Pattern Recognition and Graphics
Phase transitions
Polymers
Projectiles
Research Advancements in Intelligent Computing
Shell stability
Sieve analysis
Signal to noise ratio
Software Engineering/Programming and Operating Systems
Strain
Tensile strength
Thermal stability
Thickness
Vision
title Robust Design and Intelligent Modelling of Organic-Based Composites for Armoury Applications
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