The Product Safety Code drives continual improvements in hazardous risk assessments, Safety Data Sheet (SDS) communications and chemical inventory management.   Through this data, we create safety data sheets (SDS), customer certification statements for appropriate use and recommend product safety improvements Many other countries are following suit on the EU REACH chemicals regulation and implementing similar inventory and data requirements.  

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?

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.

We maintain data related to the environmental, health and safety of our products in our product stewardship database. Through this data, we create safety data sheets and customer certification statements for intended use and product safety improvements.

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

Interior Voice & Data Outside Voice & Data Outside Voice & Data

Suitable for aerospace applications such as optical fiber or data transmission cables Aeronautic Data Transmission Cables Overview of how Avient serves wire & cable customers, highlighting both power and data cables technologies