https://www.avient.com/knowledge-base/case-study/military-grade-protection-us-soldiers?rtype[]=1164
It also needed to allow soldiers to quickly deploy and establish positions of relative safety – even in remote locations.
These panels successfully encapsulate the bullet, preventing harmful ricochets and providing additional safety to the warfighter.
https://www.avient.com/knowledge-base/case-study/military-grade-protection-us-soldiers?ind[]=6595
It also needed to allow soldiers to quickly deploy and establish positions of relative safety – even in remote locations.
These panels successfully encapsulate the bullet, preventing harmful ricochets and providing additional safety to the warfighter.
https://www.avient.com/company/sustainability/sustainability-report/reporting/sasb
Workforce Health & Safety
Safety & Environmental Stewardship of Chemicals
Process Safety Incidents Count (PSIC), Process Safety Total Incident Rate (PSTIR), and Process Safety Incident Severity Rate (PSISR)
https://www.avient.com/knowledge-base/article/optimizing-automotive-structural-component-designs-advanced-modeling?rtype[]=1164
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.
https://www.avient.com/knowledge-base/article/optimizing-automotive-structural-component-designs-advanced-modeling
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.
https://www.avient.com/industries/consumer/consumer-discretionary/home-household/office-supplies
Corrugated Sheet
Extrusion Sheet & Strap
Safety Goggle Gasket
https://www.avient.com/products/polymer-additives/surface-modifier-additives/cesa-anti-block-additives
In order to prevent self-adhesion of plastic films or sheets, Cesa Anti-Block Additives reduce the surface’s coefficient of friction by creating a slightly rougher or smoother surface.
https://www.avient.com/news/archives?page=58
New PolyOne UltraTuf™ SG Chrome Sheet for Signage Combines Reflectivity with Toughness
https://www.avient.com/investor-center/news/polyone-announces-second-quarter-2018-results
In millions, except per share data)
In millions, except per share data)
Condensed Consolidated Balance Sheets
https://www.avient.com/investor-center/news/polyone-announces-second-quarter-2016-results
In millions, except per share data)
In millions, except per share data)
Condensed Consolidated Balance Sheets