Composites 4.0
AI Agents suite by Plataine orchestrates, automates and optimizes manufacturing operations
Enterprise-grade, interconnected agents automatically coordinate and balance operations between suppliers and customers to reduce workflow complexity, challenges.
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MaterialsZone launches integrated, AI-guided materials discovery platform
AI-Guided Product Development Feature introduction aims to make iterative AI models more accessible, empowering researchers and materials scientists with faster, smarter materials innovation.
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SAM XL demonstrates closed-loop digital methodologies via full-size aerocomposite parts development
PeneloPe Project’s modular, zero-defect manufacturing deliverables are being highlighted in an upcoming video that demonstrates the resulting aerospace pilot line’s feasibility.
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Valeth partners with Plataine to optimize operations, increase production
By leveraging AI-driven automation, Valeth anticipates substantial improvements in composites operational efficiency and throughput.
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General Atomics accelerates nuclear fuel digital twin testing, qualification
Under contract with the DOE, GA-EMS is advancing its SiGA silicon carbide (SiC) composite cladding technology to improve nuclear fuel efficiency and nuclear reactor safety.
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Plataine scheduler improves composites production efficiency for Multi-Ply Components
Multi-Ply is now able to cut planning time, optimize decisions for purchasing additional resources and automate short- and long-term planning of more than 10,000 tasks.
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Aerotech Academy Puglia is inaugurated at Leonardo Aerospace site in Grottaglie, Italy
Joining the Leonardo MaTeRIA Lab and Joint Lab with Syensqo, this aerostructures training course will be 75% materials science and structural design/analysis, 25% digital transformation and AI.
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Consortium partners provide CAELESTIS project update
Program targets the development of a hyperconnected simulation ecosystem supporting probabilistic design and predictive manufacturing of next-gen aircraft structures.
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Plataine AI enhances large-scale manufacturing scheduling, planning
AI-based production scheduler delivers on users’ short- and long-term strategic task planning with Practimum-Optimum algorithm.
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ST Engineering MRAS presents initiatives to drive autoclave efficiency, automation
During a JEC World 2024 panel discussion, the company revealed ways in which it is maximizing throughput and efficiency of its autoclaves and enhancing composites production processes.
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