k show
Film Extrusion: Towers of Power & Sustainability
At K 2019, developments in blown film highlighted recyclable film structures for new applications and technology aimed at making product changes more efficient.
Read MoreAdditive Manufacturing Continues Its Push Toward Production Floor
Suppliers unveil new material grades at K 2019 as 3D printing applications advance.
Read MoreInjection Molding: Faster, Smarter, More Efficient Machines Tackle Sustainable Molding at K 2019
Blazing speed plus shrinking energy consumption supported the “green” theme at the big show. Smarter controls and growing connectivity were another key focus.
Read MoreRecycling & Scrap Reclaim: Machinery Technology Advances as 'Circular Economy' Takes Hold
The circular economy and recycling were the top themes at K 2019, and machine builders responded with new systems to improve equipment performance and material quality.
Read MoreBlow Molding: Something for Everyone at K Show
Packaging, industrial, continuous-extrusion, accumulator-head, injection-blow, stretch-blow, EPET, foam, sandwich co-injection—the blow molding news was wide ranging at K 2019.
Read MoreMost Popular Videos of 2019
Plastics Technology’s YouTube channel brought viewers reports from events and companies all around the world, including the U.S., Europe and Asia; click through for video from K, Chinaplas, Molding 2019 and more.
WatchSimulation Is Making Injection Machines Smarter
Engel’s simlink will refine offline simulation with results from actual molding and use Engel’s machine data to constrain simulation within the actual machine’s capabilities.
Read MoreBlow Molding: Digital Inkjet Printing onto PET Bottles
Printing directly on bottles can substitute for labels and in some cases can take place inside the blow molder.
Read MoreInjection Molding: New Electric Presses Are Industry 4.0-Ready
Nissei’s upcoming NEX-V Series will have OPC-UA protocol standard in its new controller, ready to integrate with auxiliaries.
Read MoreInjection Molding: Artificial Intelligence Predicts Part Quality
AI software “learns” via DOE the influence of process variables on part quality and applies that “learning” to make good/bad part determination in production.
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