Open AccessEffect of wood ash additive on the thermal stresses of random fiberglass/polyester composite pipes
Author(s) -
Sarmad Ziyad Tariq,
Fadhel Abbas Abdullah
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/745/1/012062
Subject(s) - materials science , composite material , polyester , composite number , ultimate tensile strength , stress (linguistics) , von mises yield criterion , polyester resin , finite element method , structural engineering , philosophy , linguistics , engineering
Experimental and numerical investigations of the effect of wood ash additive on the thermal stresses of random fiberglass/polyester composite pipes were presented in this work. The experimental work includes manufacturing of pipe specimens (50% Vf wood ash/polyester composite pipe, 50% Vf random fiberglass (Mat)/polyester composite pipe and 25% Vf wood ash and 25% Vf random fiberglass (Mat)/polyester composite pipe) by resin casting method and building a test rig to study the behaviour of these pipe specimens under thermal loads. Pipe specimens had inner diameter of 90mm and 400mm in length. The wall thickness is 5mm. The current work includes also manufacturing tensile test specimens which were examined by tensile device and manufacturing thermo mechanical test specimens which were examined by thermo mechanical analyser (TMA) to determine the coefficient of thermal expansion of the specimens. In numerical work, ANSYS was used as mechanical simulation software with SHELL63 element type. The results showed that adding wood ash to the random fiberglass/polyester composite pipe leads to decrease in its longitudinal stress, hoop stress and von mises stress, however increases the element temperature withstand. The numerical solution gave a good agreement results with the experimental work with maximum difference between experimental and numerical strain ranging was between (9.3%) to (17.7%) and maximum difference between experimental and numerical stress was ranging between (14.1%) to (17.75%).