Advanced numerical simulation of liquid composite molding for process analysis and optimization

By F. Trochu, É. Ruiz, V. Achim, S. Soukane. 2006

221 citations recorded by the source corpus.

Subfields: Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/32f89027bd5befe170ab67b0e272f4a5c3923290

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Mechanical Engineering

1. Stepan V. Lomov
2. I. Verpoest
3. L. Gorbatikh
4. M. Mehdikhani
5. E. Vidal-Sallé
6. P. Boisse
7. Eric Maire

In Mechanics of Materials

1. P. Boisse
2. E. Vidal-Sallé
3. Stepan V. Lomov
4. I. Verpoest
5. N. Naouar
6. J. Schneider
7. Eric Maire
8. L. Gorbatikh

Citations in the corpus

• Meso-scale FE analyses of textile composite reinforcement deformation based on X-ray computed tomography (2014, methodology): “In particular, the simulations of the reinforcement pre-forming [1–3] and of the resin flow in L.C.M. processes (Liquid Composite Moulding) [4–6] are performed at the macroscale.”
• Fast processing and continuous simulation of automotive structural composite components (2019, methodology): “To ensure complete filling and sufficient curing during the injection step, gate and vent locations have been optimized [129,130].”
• Voids in fiber-reinforced polymer composites: A review on their formation, characteristics, and effects on mechanical performance (2018, background): “v is the Darcy flux or the phase-averaged velocity vector which is related to the resin superficial velocity in the pore, vp, by v 1⁄4 J vp, where J is the porosity percentage.(11,24) Liu et al.”