Comparison study of different formulation effect on the mechanical behavior of sheet molding compound (SMC)

2021 ◽  
Author(s):  
Morshed Mahmud ◽  
Md. Rafid Washir ◽  
Md. Khairul Islam ◽  
N. R. Dhar
Keyword(s):  
Mechanical Behavior ◽  
Comparison Study ◽  
Molding Compound ◽  
Sheet Molding Compound

Investigation of Mechanical Behavior of Chopped Carbon Fiber Reinforced Sheet Molding Compound (SMC) Composites

2020 ◽  
Author(s):  
Xuze Sun ◽  
Carlos Engler-Pinto ◽  
Li Huang ◽  
Shiyao Huang ◽  
Haibin Tang ◽  
...  
Keyword(s):  
Carbon Fiber ◽  
Mechanical Behavior ◽  
Fiber Reinforced ◽  
Molding Compound ◽  
Sheet Molding Compound ◽  
Carbon Fiber Reinforced

MICRO-CT IMAGE-BASED RECONSTRUCTION MODEL FOR FAILURE ANALYSIS OF SHEET MOLDING COMPOUND (SMC) COMPOSITES

2021 ◽  
Author(s):  
HYOUNG JUN LIM ◽  
HO-IL CHOI ◽  
GUN JIN YUN
Keyword(s):  
Failure Analysis ◽  
Mechanical Behavior ◽  
Constitutive Modeling ◽  
Weight Ratio ◽  
Reconstruction Algorithm ◽  
Cumulative Distribution ◽  
Fiber Bundles ◽  
Micro Ct ◽  
Molding Compound ◽  
Sheet Molding Compound

This research provides a multiscale framework of failure analysis for carbon-fiber sheet molding compound (CF-SMC) through a bundle packing reconstruction algorithm and material constitutive modeling, respectively. SMC composites have attracted the attention of many industries due to their high strength-to-weight ratio. However, depending on the speed and pressure in the manufacturing process, the spatially different flow patterns of fiber bundles lead to show inhomogeneous mechanical performance. This is because the location and orientation of fiber bundles in SMC composites have a significant role in mechanical behavior. Therefore, it is crucial to understand the effects of these parameters on mechanical behavior. Therefore, in this study, micro-CT imaging is performed to accurately determine SMC composites' internal geometry. The orientation and location of fiber bundles are statistically expressed as cumulative distribution function (CDF). Using these distributions as input, a mesoscale representative volume element (RVE) is constructed through a bundle packing reconstruction algorithm based on the random sequential adsorption (RSA) method. Furthermore, to demonstrate failure analysis of the SMC composites, constitutive modeling of each constituent is established. Consequently, the change of mechanical behavior is estimated under different manufacturing conditions.

Decreasing the cycle time for in‐mold coating (IMC) of sheet molding compound (SMC) compression molding

2019 ◽  
Vol 59 (6) ◽  
pp. 1158-1166 ◽  
Author(s):  
Mohammad S.K. Bhuyan ◽  
Seunghyun Ko ◽  
Maria G. Villarreal ◽  
Elliott J. Straus ◽  
Lee James ◽  
...  
Keyword(s):  
Cycle Time ◽  
Compression Molding ◽  
Molding Compound ◽  
Sheet Molding Compound

Rib Readout in Sheet Molding Compound (SMC) Panels

1989 ◽  
Vol 28 (1) ◽  
pp. 43-53 ◽  
Author(s):  
Hamid G. Kia
Keyword(s):  
Molding Compound ◽  
Sheet Molding Compound

Tension, compression, and shear behavior of advanced sheet molding compound (A-SMC): Multi-scale damage analysis and strain rate effect

2021 ◽  
pp. 109287
Author(s):  
Mohammadali Shirinbayan ◽  
Hassan Beigi Rizi ◽  
Navideh Abbasnezhad ◽  
Abbas Tcharkhtchi ◽  
Joseph Fitoussi
Keyword(s):  
Strain Rate ◽  
Shear Behavior ◽  
Strain Rate Effect ◽  
Rate Effect ◽  
Damage Analysis ◽  
Compound A ◽  
Molding Compound ◽  
Sheet Molding Compound ◽  
Multi Scale

Optimization of polyester sheet molding compound. Part II: Theoretical modeling

1986 ◽  
Vol 7 (4) ◽  
pp. 250-260 ◽  
Author(s):  
J. D. Fan ◽  
L. James Lee
Keyword(s):  
Theoretical Modeling ◽  
Molding Compound ◽  
Sheet Molding Compound
Sign in / Sign up

Export Citation Format

Share Document