Simulating the effect of temperature elevation on clamping force requirements during rigid-tool Liquid Composite Moulding processes

Gupta, Abhishek; Kelly, Piaras; Bickerton, Simon; Walbran, WA

doi:10.1016/j.compositesa.2012.08.003

Cited by 26 publications

(44 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The preform used for all of the three examples is CSM whose compaction model parameters have been listed in Table 1 22,23,28 and the mold filling parameters are listed in Table 2. The resin injection pressure is 400 kPa for all the three cases, the initial and final cavity thicknesses are 4.4 mm (v f ¼ 0.3977) and 3.5 mm (v f ¼ 0.5), respectively.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Simulating the resin flow and stress distributions on mold tools during compression resin transfer molding

Yang

Jin

et al. 2014

Journal of Reinforced Plastics and Composites

View full text Add to dashboard Cite

Compression resin transfer molding (CRTM) is an effective process for the manufacturing of composite parts with large size and high fiber content. The analysis of the resin flow and stress distributions can only be performed by directly solving the coupled flow/deformation equations, but it is difficult to handle the complicated preform deformation models and geometry models; therefore, the simulation precision and application range are extremely limited. In this paper, an alternative approach is introduced to overcome the above problems, in which the preform deformation and the accompanying resin release during the secondary compaction phase are calculated in an additional element associated with each unit of the discretized model geometry instead of solving the coupled governing equations directly, so the complex compaction models can be adopted. Three simulation examples are presented to demonstrate the accuracy and capability of the above numerical approach on velocity-controlled, force-controlled 3D CRTM processes.

show abstract

Section: Numerical Results and Discussionmentioning

confidence: 99%

Simulating the resin flow and stress distributions on mold tools during compression resin transfer molding

Yang

Jin

et al. 2014

Journal of Reinforced Plastics and Composites

View full text Add to dashboard Cite

show abstract

“…Second, the mold is 100 °C and the injection resin is 20 °C at normal temperature. The relationship between mold temperature, injection temperature, and mold internal pressure at different locations: In order to research the efficiency of raising mold and injection temperature on reducing the mold internal pressure, 81 groups of simulation results at different locations were carried out from 20 to 100 °C by 10 °C each time to draw “T(Mold temperature)‐T(Injection temperature)‐P(Pressure)” curve. The effect of mold temperature and injection temperature on the overall mold internal pressure: In order to research the effect of temperature on the overall mold internal pressure, a mold force F fluid which is the force exerted on the mold platens due to resin pressure generated within the mold was introduced. The equation of the F fluid is shown as

F_{fluid} = \int_{CS} P_{fluid} italicdS

where P fluid is the mold internal pressure at different positions, S is the area of the mold wall on each element.…”

Section: Methodology Of Simulation and Researchmentioning

confidence: 99%

“…The mold internal pressure and filling time can be reduced by optimizing the position of injection/vent port, but the position of injection/vent port is limited by the shape of the products and sometimes cannot be optimized. Meanwhile, an effective way to reduce mold pressure is to reduce the viscosity of the resin by heating the mold and injection resin . Since RTM process is nonisothermal, the effect of temperature on RTM is very complicated, especially considering heat transfer, curing reaction of the resin, and heat release during curing reaction …”

Section: Introductionmentioning

confidence: 99%

Nonisothermal simulation on pressure during resin transfer molding

Yang

Xiang

et al. 2019

J of Applied Polymer Sci

View full text Add to dashboard Cite

High speed injection has been widely used in resin transfer molding (RTM), which improves manufacturing efficiency. This sometimes leads to excessive pressure within the mold, resulting in fiber destruction and mold deformation. Heating the mold and injection resin reduces the viscosity of resin, leading to influence on mold internal pressure. Selection of optimal mold and injection temperature for effective reduction of mold internal pressure has become a source of concern in the polymer industry. This article presents an outlook relationship between mold temperature, injection temperature, and mold internal pressure. It also showcases a temperature selection method angle to addressing this issue. The “FLUENT” software has been secondarily developed that gives an insight in using the three‐dimensional nonisothermal RTM simulation. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019, 136, 47492.

show abstract

“…While the RTM and I/C-LCM cycles possess some distinct variables, they also possess a set of baseline variables that appear in the phenotype spaces of both processes [46]. This overlap stems from the fact that both procedures belong to the same family of LCM methods.…”

Section: Partial Overlap In Phenotype Spacementioning

confidence: 98%

“…13. The candidate processes are (a) resin transfer molding (RTM) [45,46] and (b) injection/compression liquid composite molding (I/C-LCM) [45][46][47].…”

Section: Partial Overlap In Phenotype Spacementioning

confidence: 99%

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking

2016

View full text Add to dashboard Cite

The human mind possesses the most remarkable ability to perform multiple tasks with apparent simultaneity. In fact, with the present-day explosion in the variety and volume of incoming information streams that must be absorbed and appropriately processed, the opportunity, tendency, and (even) the need to multitask are unprecedented. Thus, it comes as little surprise that the pursuit of intelligent systems and algorithms that are capable of efficient multitasking is rapidly gaining importance among contemporary scientists who are faced with the increasing complexity of real-world problems. To this end, the present paper is dedicated to a detailed exposition on a so-far underexplored characteristic of population-based search algorithms, i.e., their inherent ability (much like the human mind) to handle multiple optimization tasks at once. We present a simple evolutionary methodology capable of cross-domain multitask optimization in a unified genotype space and show that there exist many potential benefits of its application in practical domains. Most notably, it is revealed that multitasking enables one to automatically leverage upon the underlying commonalities between distinct optimization tasks, thereby providing the scope for considerably improved performance in real-world problem solving.

show abstract

Simulating the effect of temperature elevation on clamping force requirements during rigid-tool Liquid Composite Moulding processes

Cited by 26 publications

References 20 publications

Simulating the resin flow and stress distributions on mold tools during compression resin transfer molding

Simulating the resin flow and stress distributions on mold tools during compression resin transfer molding

Nonisothermal simulation on pressure during resin transfer molding

Evolutionary Multitasking: A Computer Science View of Cognitive Multitasking

Contact Info

Product

Resources

About