Material Data Sets • A number of material characterization data sets are available in .udb, moldex 3D, and SIMPOE format Mold Filling Simulation (see examples below) • Serves to validate part design (e.g., gate location, fill/pack/warp/cool) & material solution • Evaluates component design viability with preferred Avient material solution • Fiber analysis determines fiber orientation and length • Predicts part quality and manufacturability (shrink, warp, weld line location) FILLING PART QUALITYFIBER ORIENTATION Finite Element Analysis (FEA) • Virtually simulates how an application will perform in real-world conditions with a high level of precision • Able to represent a variety of problems, test methods, models and outputs to evaluate the design, process and material combination for validation or optimization FEA Simulation Capabilities • Static - Displacement/rotations - Stress and strains - Contact pressure - Reaction forces/moments - Factors of safety • Vibration - Eigen frequencies - Harmonic response ○ Harmonic displacement, acceleration and stress Software Used • Autodesk Moldflow • Simulia/Abaqus • MSC Cradle • CAD/CAE - MSC Apex - SolidWorks • Failure mode effect analysis (FMEA) support By leveraging mold filling simulation, data software, and physical simulation capabilities, we can help inform your decision-making process.

Simplifies food packaging operations by reducing the coefficient of friction on thermoformed containers, facilitating easy separation during manufacturing and filling.

Simplifies food packaging operations by reducing the coefficient of friction on thermoformed containers, facilitating easy separation during manufacturing and filling.

Predictive simulation technology uses conventional (isotropic) and advanced (anisotropic) modeling data from material characterizations, mold filling analysis, and finite element analysis (FEA) to more accurately forecast performance and potential failure points.

For applications ranging from luxury spirits to cosmetics closures, these high-density filled polymers offer chemical resistance, customizable density and flexibility, and ease of processing.

Predictive simulation technology uses conventional (isotropic) and advanced (anisotropic) modeling data from material characterizations, mold filling analysis, and finite element analysis (FEA) to more accurately forecast performance and potential failure points.

With car sharing, ride sharing, and ride hailing services becoming more common, the miles that a single car is driven and amount of time the car is filled with passengers will also rise.

With car sharing, ride sharing, and ride hailing services becoming more common, the miles that a single car is driven and amount of time the car is filled with passengers will also rise.

GLASS (100yd/lbs) GLASS (100yd/lbs)

Because the trays were regularly handled by consumers and filled with food, it was very important that any changes made to the material would not jeopardize the packaging’s FDA compliance. It can also be an ideal choice to help reduce picking errors with auto and manual fill machines, decreasing waste and limiting production downtime.