Materials
INEOS Styrolution to Build Production Site for Thermoplastic Composite Stylight
Demand for automotive, electronics and sports industries drives INEOS Styrolution to invest in a dedicated production site for its Stylight composite product line.
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PPA Inducts Eight New Members
Plastics Pioneers Association adds to membership roster following April meeting.
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SABIC & Partners Collaborate to Produce 'Revolutionary' Thermoplastic Composite Vehicle Panel
Cost-effective and lightweight vehicle panels produced using SABIC’s Udmax tape in a one-shot compression molding process challenges panels made of metal or thermosets.
Read MoreArkema and 3DXTech Bring FluorX Material To Ultimaker’s Cura Marketplace
The new PVDF-based filament is specifically designed for printing highly technical 3D parts that require extreme performance.
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Victrex to Make Multi-Million Euro Investment in Bond 3D Technology
Victrex and Bond will initially focus their new collaboration on demonstrating the potential in the spine and the semiconductor segments.
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Part 4: Heat Deflection Temperature vs. Dynamic Mechanical Analysis
The presentation of DMA data can sometimes frustrate users and discourage its adoption. Those unfamiliar with DMA should insist on receiving data relevant to the manner in which the part they are developing will be used.
Read MorePlastics Industry Fly-In on March 27
This year’s Fly-In attendees will hold over 100 meetings with elected officials and their staff on the Hill
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Nova Chemicals is Exclusive "Platinum Sustainability Sponsor" of 2019 Canada Winter Games
The sponsorship is targeted to help fund sustainable practices at The Games, as well as enduring community resources.
Read MoreSolvay, Aerosint Partner to Develop SLS Printing Process for High-Performance Polymers
Solvay has entered a research collaboration agreement with Aerosint to develop an economically viable SLS printing process for high-performance polymers.
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Machine Learning Helps Software Fill Key Gaps in Plastics Data Sheets
MobileSpecs LLC has boosted the breadth and depth of its materials database for injection molders by applying a machine learning algorithm to predict missing information for key processing parameters, including data points like drying temperature.
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