Numerical modeling on pultrusion of composite I beam

Liu, X.-L.

doi:10.1016/s1359-835x(00)00164-0

Cited by 35 publications

(15 citation statements)

References 17 publications

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“…Note that the degree of cure set point is 0.95. Based on results from the literature (Liu, 2001;Calado et al, 2001), it was assumed that a significant amount of cure reaction happens in the post-die region. Santiago et al (2003).…”

Section: Results: Optimization Studymentioning

confidence: 99%

“…The accuracy and numerical behavior of the procedure were investigated by a number of numerical simulations. Following these studies, Liu (2001) investigated numerically the effect of various process parameters on the temperature and curing profiles in the composite I beams. The results were used to determine preferred process conditions and/or heating configurations for the pultrusion of the composite I beams.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of a Pultrusion Process Using Finite Difference and Particle Swarm Algorithms

Santos

Pagano

Calado³

et al. 2015

Braz. J. Chem. Eng.

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-Pultrusion is one of several manufacturing processes for reinforced polymer composites. In this process fibers are continuously pulled through a resin bath and, after impregnation, the fiber-resin assembly is cured in a heated forming die. In order to obtain a polymeric composite with good properties (high and uniform degree of cure) and a process with a minimum of wasted energy, an optimization procedure is necessary to calculate the optimal temperature profile. The present work suggests a new strategy to minimize the energy rate taking into account the final quality of the product. For this purpose the particle swarm optimization (PSO) algorithm and the computer code DASSL were used to solve the differential algebraic equation that represents the mathematical model. The results of the optimization procedure were compared with results reported in the literature and showed that this strategy may be a good alternative to find the best operational point and to test other heat policies in order to improve the material quality and minimize the energy cost. In addition, the robustness and fast convergence of the algorithm encourage industrial implementation for the inference of the degree of cure and optimization.

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Section: Results: Optimization Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of a Pultrusion Process Using Finite Difference and Particle Swarm Algorithms

Santos

Pagano

Calado³

et al. 2015

Braz. J. Chem. Eng.

View full text Add to dashboard Cite

show abstract

“…This work was greatly supported by finite element analysis, which has also been used by other researchers [10][11][12][13][14] due to the expensive costs associated with experimental tests. In this study, thermographic images of the die with planar heaters were obtained and analysed.…”

Section: Introductionmentioning

confidence: 97%

Comparative study about heating systems for pultrusion process

Silva

Ferreira

Costa

et al. 2012

Composites Part B: Engineering

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Different heating systems have been used in pultrusion, where the most widely used heaters are planar resistances. The primary objective of this study was to develop an improved heating system and compare its performance with that of a system with planar resistances. In this study, thermography was used to better understand the temperature profile along the die. Finite element analysis was performed to deter-mine the amount of energy consumed by the heating systems. Improvements were made to the die to test the new heating system, and it was found that the new system reduced the setup time and energy consumption by approximately 57%.

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“…In addition to the theoretical modelling of the pultrusion process, experimental studies on the pultrusion of various composite profiles such as rods, plates, I-beams etc. have been carried out in [20][21][22][23][24][25][26]. Pultrusion of an I-beam was numerically modelled in [22][23][24] and the predicted temperature and cure degree values were compared with measurements.…”

Section: Introductionmentioning

confidence: 99%

Pultrusion of a vertical axis wind turbine blade part-I: 3D thermo-chemical process simulation

et al. 2014

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A novel three dimensional thermo-chemical simulation of the pultrusion process is presented. A simulation is performed for the pultrusion of a NACA0018 blade profile having a curved geometry, as a part of the DeepWind project. The finite element/nodal control volume (FE/NCV) technique is used. First, a pultrusion simulation of a Ushaped composite profile is performed to validate the model and it is found that the obtained cure degree profiles match with those given in the literature. Subsequently, the pultrusion process simulation of the NACA0018 profile is performed. The evolutions of the temperature and cure degree distributions are predicted inside the heating die and in the post-die region where convective cooling prevails. The effects of varying process conditions on the part quality are investigated for two different heater configurations and with three different pulling speeds. Larger throughthickness gradients are obtained for the temperature and degree of cure as the pulling speed increases. This will affect the process induced residual stresses and distortions during manufacturing.

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Numerical modeling on pultrusion of composite I beam

Cited by 35 publications

References 17 publications

Optimization of a Pultrusion Process Using Finite Difference and Particle Swarm Algorithms

Optimization of a Pultrusion Process Using Finite Difference and Particle Swarm Algorithms

Comparative study about heating systems for pultrusion process

Pultrusion of a vertical axis wind turbine blade part-I: 3D thermo-chemical process simulation

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