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Prediction of the Degree of Bonding in the Extrusion Deposition Additive Manufacturing Process of Semi-Crystalline Polymer Composites

The Extrusion Deposition Additive Manufacturing (EDAM) process is a manufacturing process used to produce three-dimensional objects made by deposition of molten polymer composite in a layer-by-layer fashion. Printing with fiber reinforced, semi-crystalline polymers provides for the manufacture of molds that can be used in high-temperature composite prototype molding applications. Further, the EDAM is scalable and can provide printed geometries in the centimeter to meter scales. However, in plane (X-Y) fiber orientation of the extrudate results in mechanical properties in the stacking orientation (Z) that are governed by the bond formed between adjacent extrudate layers. The quality of this interlayer bond is strongly influenced by the processing conditions, namely temperature and printing history.

Customer Papers

Prediction of the Degree of Bonding in the Extrusion Deposition Additive Manufacturing Process of Semi-Crystalline Polymer Composites

Manufacturing Simulation of Composites Compression Molding in Abaqus/Explicit

In composite materials, as anisotropic systems, the orientation state of parts highly impacts the resulting performance characteristics. In high rate processes of discontinuous material systems, the final orientation state is often dictated by molding flows rather than direct prescription. In this work, we address flow simulation of the compression molding process for prepreg platelet molding systems with the purpose of predicting orientation state. Such systems are formed by cutting and slitting prepreg composite tape into rectangular platelets of prescribed length and width. Typical molding simulation approaches have been previously developed for injection molding processes in which the fiber scale to part scale dictates relatively smooth spatial variation in orientation state.

Customer Papers

Manufacturing Simulation of Composites Compression Molding in Abaqus/Explicit

LANDING ON A COMET AEROSPACE & DEFENSE

Scientists watched with bated breath as the Philae lander left the European Space Agency’s Rosetta spacecraft and touched down on the surface of a comet last November after a 10-year, 4-billion-mile journey. Among those glued to their screens was Dr. Martin Hilchenbach, one of the original designers of the lander. He and his team used SIMPACK simulation software (now part of the Dassault Systèmes SIMULIA portfolio), between 1996 and the 2004 takeoff of Rosetta from Earth, to model scenarios for the Philae’s landing and guide design changes that helped ensure its survival. A presenter at the 2015 SCC in Berlin, Dr. Hilchenbach answered some questions for SCN earlier this spring.

Tech Notes

YAMAHA Motor Co., Ltd. TRANSPORTATION & MOBILITY

Yamaha Motor Company wanted to improve performance of its off-road motorcycle of its off-road motorcycle radiator assemblies and was looking for a way to reduce time-consuming realworld testing. Abaqus FEA from Dassault Systèmes SIMULIA provided accurate, realistic simulations of the simulations of the mechanism of motorcycle of motorcycle tipovers on the deformation of the components.

Tech Notes

YAMAHA Motor Co., Ltd. TRANSPORTATION & MOBILITY

4 th Wind and Drivetrain Conference

4 th Wind and Drivetrain Conference Multibody Simulation in Wind Energy – From Turbine Design to Detailed Component Load Calculation

E-seminars

Fatigue Behavior of Engineering Polymers and Its Numerical Implementation

As a material supplier, it is our role to understand the behavior and performance of our materials and to support designers and engineers in their optimal use. In this paper we will describe the material behavior of semi-crystalline engineering polymers, illustrated with material test data on Delrin POM and their influence on their fatigue performance, in particular their non-linear elastic (hyperelastic) response, hysteresis, temperature dependence and self-heating effects. These have been included in an in-house tool based on Abaqus for improved prediction of the fatigue performance of engineering polymer parts in real-life conditions.

Customer Papers

Fatigue Behavior of Engineering Polymers and Its Numerical Implementation

Progressive Damage Modeling of Thick Laminated Composites: Robust Deterministic and Probabilistic Implementation

The objective of this work is to a) generate robust and physically reasonable Abaqusbased FEA solutions to model multi-step damage processes in laminated composite materials and structures and b) demonstrate their efficiency on representative examples. The examples are focused on scenarios of composites with complex networks of multiple interlaminar damages. Computational implementation is based on cohesive zone modeling approach allowing one to model both damage initiation and growth. Demonstration of computational robustness is shown on cases with increased levels of complexity starting with single damage statements, then with multiple damages, and finally, with probabilistic statements assuming statistical variability of properties representing different damage paths.

Customer Papers

Progressive Damage Modeling of Thick Laminated Composites: Robust Deterministic and Probabilistic Implementation

DampIT: A Tool for the Identification of Physical Damping Coefficients of a Multibody System Model

E-seminars

2nd European Multibody User Group Meeting 2017: Comparison of Semi-Analytical Methods for Frame Load Evaluation on a Recreational Vehicle

E-seminars

Real-Time Execution of SIMPACK Models under Simulation Workbench

E-seminars

Defects Assessment of Composite Laminates from Scanning to Modeling

Defects induced in the fabrication and application of composite laminates have substantial influence on the performance of composite structures. The effects of these undesired defects on the static and fatigue mechanical behavior are very important in the reliability and sustainability assessment. An integrative approach is developed to evaluate the major defects including voids and ply waviness from Computed Tomography (CT) scanning to multiscale modeling. Based on the CT scan results, voids and ply waviness can be captured quantitatively. These defects can be analyzed by using the represented volume element (RVE) model and statistical model in micro scale and their effects on the material properties (stiffness, strength and fracture toughness) are included into the macroscale model using a possibilistic uncertainty model.

Customer Papers