Tensile and flexural response of 3D printed solid and porous CCFRPC structures and fracture interface study using image processing technique
Autor: | Nabeel Maqsood, Marius Rimašauskas |
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Přispěvatelé: | „Elsevier' grupė |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Fabrication
Materials science Thermoplastic Additive manufacturing Composite number 3D printing Mechanical properties Porous composite structure law.invention Biomaterials Flexural strength Fracture interface imaging law CCFRPC Ultimate tensile strength Composite material Porosity chemistry.chemical_classification Mining engineering. Metallurgy Fused deposition modeling business.industry Metals and Alloys TN1-997 Surfaces Coatings and Films chemistry Ceramics and Composites business |
Zdroj: | Journal of Materials Research and Technology, Vol 14, Iss, Pp 731-742 (2021) |
ISSN: | 2238-7854 |
Popis: | Additive manufacturing is an advanced manufacturing technology that creates 3D parts geometry by depositing layers upon layers till the final part is manufactured and this technology is effectively utilized in numerous engineering applications. Due to inherently low mechanical properties of polymers, continuous carbon fiber was introduced to the thermoplastic material to form continuous carbon fiber-reinforced polymer composite (CCFRPC) to enhance their properties. This paper is going to present solid and porous CCFRPC structures manufactured by fused deposition modeling 3D printing technology. Porous composite structures were fabricated using grid infill pattern at three different infill density levels (20%, 40% and 60%) with one perimeter shell, while the solid composite specimen was fabricated with 0O unidirectional layers. After the fabrication of solid and porous CCFRPC specimens, the effects on the tensile and flexural properties were experimentally examined. To study the fracture modes caused during the mechanical tests, fracture interface after performing mechanical tests was observed using microscope's micrographs which were further undergoes image processing technique to acquire edge detection (E.D), contrast enhancement (C.E) and E.D on C.E using source image (S.I) to analyze the voids and clearly identify the interface of the composite parts. |
Databáze: | OpenAIRE |
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