A guide for describing, evaluating, and reporting environmental, social, and governance (ESG) data Social-related data reported to stakeholders rose 37% in 2021 compared to 2020 (McKinsey & Company). Interested in learning more about your ESG data and how to achieve your sustainability goals?

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. By factoring in static and dynamic data, the CAE simulations can identify where an injection molded plastic part may crack or break when exposed to real-world conditions such as physical loading force, sudden impact (crash simulation), or environmental factors like temperature and humidity.   For more technical details on the structural performance of reinforced polymers using CAE, automotive design engineers may access material data and models for Avient’s fiber-reinforced solutions using Hexagon’s Digimat-MX Tool.

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. By factoring in static and dynamic data, the CAE simulations can identify where an injection molded plastic part may crack or break when exposed to real-world conditions such as physical loading force, sudden impact (crash simulation), or environmental factors like temperature and humidity.   For more technical details on the structural performance of reinforced polymers using CAE, automotive design engineers may access material data and models for Avient’s fiber-reinforced solutions using Hexagon’s Digimat-MX Tool.

See LEDs in a Brand New Light: PolyOne UltraTuf™ LED Light-Diffusing Sheet Cuts Hot Spots, Improves Design Freedom CLEVELAND – PolyOne today announced the launch of UltraTuf™ LED, a premium light diffusing sheet that combines excellent light transmission and di

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Building upon our commitment to sustainable water management, Avient took significant strides in 2023 to enhance transparency and data accuracy across our global operations. While we have collected water data from our manufacturing facilities since 2012, increased water data accuracy allows us to better understand our water sources, withdrawal rates, and discharges. In line with our commitment to conserve biodiversity, Avient has developed a biodiversity risk assessment framework that draws upon data from the World Wildlife Fund (WWF) Biodiversity Risk Filter.

A guide for describing, evaluating, and reporting environmental, social, and governance (ESG) data Social-related data reported to stakeholders rose 37% in 2021 compared to 2020 (McKinsey & Company). Interested in learning more about your ESG data and how to achieve your sustainability goals?

Compare fiber properties and technical data Nomex® Meta-Aramid Data Compare fiber properties and technical data