https://www.avient.com/sites/default/files/2021-03/avient-antitrust-2021-update-pol-a4.pdf
Natychmiast po wyjściu napisz notatkę dotyczącą czasu, miejsca i stron biorących udział w dyskusji, podpisz ją i opatrz datą oraz przekaż Działowi prawnemu Avient. ✓ Przed zawarciem transakcji z konkurentem skonsultuj się z Działem prawnym Avient.
https://www.avient.com/sites/default/files/2021-03/avient-antitrust-2021-update-indo-a4.pdf
✓ Dokumentasikan sumber dan tanggal penerimaan semua daftar harga pesaing dan data kompetitif lainnya yang terkandung dalam berkas Anda. ✓ Segera tinggalkan pertemuan ketika pesaing membahas harga atau pelanggan.
https://www.avient.com/sites/default/files/2021-10/microbial-susceptibility-of-various-polymers-and-evaluation.pdf
All samples were tested in duplicate (n = 2); the bar graph represents the average, and the open circles represent the log10-transformed raw data.
https://www.avient.com/investor-center/news/avient-announces-first-quarter-2023-results
In millions, except per share data)
In millions, except per share data)
Condensed Consolidated Balance Sheets
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/news/archives?page=57
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
https://www.avient.com/products/engineered-polymer-formulations/flame-retardant-formulations/syncure-xlpe-cross-linkable-polyethylene-formulations
Leading-edge, fire safety performance solutions for your applications.
Overview of how Avient serves wire & cable customers, highlighting both power and data cables technologies
https://www.avient.com/company/sustainability/sustainability-report/governance/governance
Culture of Safety
At Avient, we maintain a strong commitment to sustainability, by conducting business in a way that puts the safety of our employees and needs of our customers first, while enabling a sustainable world.
https://www.avient.com/news/polyone-announces-strong-fourth-quarter-and-full-year-2013-results
In millions, except per share data)
In millions, except per share data)
In millions, except per share data)