2023-01-31
http://w3.windfair.net/wind-energy/news/42959-tpi-composites-windstar-digital-twin-machine-learning-collaboration-manufacturing-process-data-reduced-defects

TPI to create Digital Twin of the Wind Blade Manufacturing Process

Image: TPI CompositesImage: TPI Composites
The project leveraged machine learning (ML) using big data to serve as the digital twin of the blade manufacturing process.

Official Press Release TPI Composites:

TPI Collaborates with WindSTAR to Leverage Machine Learning and Create a Digital Twin of the Wind Blade Manufacturing Process

Wind Industry Profile of
TPI Collaborates with WindSTAR to Leverage Machine Learning and Create a Digital Twin of the Wind Blade Manufacturing Process

TPI Composites, Inc., (TPI) (Nasdaq: TPIC), announced today that it has collaborated with WindSTAR, a National Science Foundation (NSF) funded Industry-University Cooperative Research Center, to design a composite manufacturing process based on a digital twin approach as released today in the 2022 WindSTAR Annual Report.

The project leveraged machine learning (ML) using big data to serve as the digital twin of the blade manufacturing process. This ML framework provides real-time feedback during fabrication, results in reduced defects, and enables more efficient production of wind blades versus the current high computational costs of the physics-based models. Stephen Nolet, Senior Director of Innovation & Technology for TPI, worked alongside student researchers... ... More: Official Press Release TPI Composites

Keywords:
TPI Composites, WindSTAR, digital twin, machine learning, collaboration, manufacturing process, data, reduced defects







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