This is quite common for sheet goods and general molding TPEs. Accurate testing procedures are needed to ensure valid data. Underwriters Laboratories is an independent, not-for-profit product safety and testing certification organization based in the US.

This is quite common for sheet goods and general molding TPEs. Accurate testing procedures are needed to ensure valid data. Underwriters Laboratories is an independent, not-for-profit product safety and testing certification organization based in the US.

The top priority at Avient is safety. At the highest level, Avient’s Board of Directors has a long-standing Environmental, Health & Safety (EH&S) Committee that oversees and monitors environmental, health, safety, security and product stewardship policies, standards and practices. Avient’s EH&S MS is comprised of global standards for safety, health, security, product safety, and environmental protection, covering the transportation of materials, activities at our sites and warehouses, distribution of our products, our customers’ use of our products, and our ongoing commitment to be a positive influence in the communities in which we operate.

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.

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.

If the material is allowed to stay in an injection molding machine or extruder (profile, sheet, etc.) too long, the material will start to discolor and brown ‘freckles’ may appear.  Boosting rPET Quality and Safety in Packaging Boosting rPET Quality and Safety in Packaging

In millions, except per share data) In millions, except per share data) Condensed Consolidated Balance Sheets

In millions, except per share data) In millions, except per share data) Condensed Consolidated Balance Sheets

Consumer products made with TPEs offer benefits that add both consumer appeal and safety benefits. Boosting rPET Quality and Safety in Packaging Boosting rPET Quality and Safety in Packaging