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
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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