Curtiss-Wright Completes Acquisition of WSC Inc.
WSC is a provider of state-of-the-art simulation technology that supports the design, commissioning and reliable operation of commercial nuclear power generation and process plants worldwide
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New Comprehensive Automation Platform Empowers Action from Plant to Enterprise
Emerson’s new DeltaV platform adds SCADA, MES and operations management software technologies.
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IMDEA introduces digital twin for real-time analysis of composite materials production
Newly designed digital twin by IMDEA and Technical University of Madrid researchers enables manufacturers to see inside composite materials as they are being produced, facilitating early detection of faults.
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Plataine expands NCC's AI, IoT optimization capabilities
Under this partnership, the NCC will leverage technologies such as time-sensitive material management and Plataine’s Digital Twin to further develop its composites R&D.
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Flowserve Receives First FDT 2.0 DTM Certification from FDT Group
The newest certified Logix 3820 Series DTM is deployable with positioners supporting HART 6/7.
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Steelhead Technologies Wins Top Performer Award
Steelhead Technologies has receved the Winter 2024 Top Performer award in job shop software from software comparison website SourceForge.
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Bollegraaf and Greyparrot Team Up in AI Vision Deal
Recycling facilities builder Bollegraaf invests in AI vision technology.
#industry40 #Sustainability
FIBRE4YARDS incorporates next-gen composites technologies to redefine shipbuilding
At the project’s completion, consortium members have unveiled final results and a 1:1 scale demonstrator, highlighting the opportunities for more collaborative, digitized, automated, efficient and environmentally friendly shipyards.
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GMI Aero enhances digital/physical twin network application for Anita hot bonder
EVOLVED-5G project seeks to test, validate and certify, in a vendor-agnostic experimentation 5G platform, Industry 4.0 network applications.
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Global aerospace manufacture uses sensXPERT to shorten cycle times, meet increased rate and reduce waste
Using minimal sensors and one edge device, data from 20 production cycles was used to train machine learning models, accurately predicting outcomes in ≤50 minutes by forecasting when target degree of cure is reached.
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