ODYSSEE
Resolución de sus problemas de ingeniería en tiempo real
ODYSSEE
Soluciones en tiempo real para ingeniería, fabricación y control de calidad
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Contacte con nosotros
ODYSSEE CAE es una potente y excepcional plataforma de innovación centrada en la ingeniería asistida por ordenador (Computer-Aided Engineering, CAE) que permite a los ingenieros aplicar el aprendizaje automático, la inteligencia artificial, el modelado de orden reducido (Reduced Order Modelling, ROM) y la optimización del diseño a los flujos de trabajo. Le permite beneficiarse de una tecnología de ciencia de datos de última generación mediante la creación de gemelos digitales rentables a través del modelado predictivo en tiempo real y la optimización de datos de simulación de CAE y datos de pruebas físicas.
ODYSSEE A-Eye es una solución única y potente de aprendizaje automático basado en imágenes que acelera el diseño y desarrollo de productos a través de la simulación y optimización paramétrica en tiempo real utilizando soluciones de aprendizaje automático e inteligencia artificial (IA). ODYSSEE A-Eye le permite crear su propia aplicación de IA basada en datos de imágenes, datos de sensores, escalares, etiquetas, curvas y datos CAD como información de entrada y, a continuación, predice respuestas utilizando los datos conocidos de su sistema. Esta información permite a los diseñadores y a los técnicos de producción explorar el espacio de diseño de forma más amplia e interactiva y mejorar los productos de nueva generación sin incurrir en costes o tiempos de computación prohibitivos.
ODYSSEE incluye:
- Aprendizaje automático e IA
- Estadísticas, extracción de datos, fusión de datos
- Optimización y solidez
- Detección de procesos
- Reconocimiento y compresión de imágenes
ODYSSEE - Sistema óptimo de apoyo a la toma de decisiones para ingeniería y experiencia
ODYSSEE CAE
ODYSSEE CAE mejora sus conocimientos respondiendo preguntas complejas de ingeniería en tiempo real que, de otro modo, tardarían cientos de horas en simular y analizar. Con solo unas pocas simulaciones de CAE anteriores, ODYSSEE predice, optimiza y genera de forma robusta resultados precisos en tiempo real. ODYSSEE CAE produce resultados históricos a tiempo completo, incluido un análisis de CAE completo con un posprocesamiento detallado de los resultados.
Dinámica de fluido computacional (CFD)
Estructuras
Materiales
Acústica
Dinámica de sistemas
Autónomo
Fabricación
ODYSSEE A-Eye
Permite la predicción y optimización en tiempo real utilizando el aprendizaje automático basado en imágenes para cualquier industria.
- Imágenes
- Sensores
- Escalares
- Etiquetas
- Curvas
- CAD
ODYSSEE-A-Eye permite la creación de personalizaciones especializadas para producción/no ingenieros utilizando la predicción basada en imágenes o basada en la geometría CAD (STEP).
Otras aplicaciones:
- Supervisión de fallos de fabricación (fundición)
- Establecimiento de indicadores de costes para herramientas
- Caracterización de fallos para el control de calidad
- Constructividad: Riesgo de construcción, incertidumbre y decisión
- Predicción diagnóstica de infecciones pulmonares basada en imágenes de resonancias magnéticas (RMN)
- Supervisión remota del paciente aumentada por un modelo predictivo en tiempo real
- Simulador de vuelo (condiciones de aterrizaje)
- Compresión y clasificación selectivas de imágenes por satélite
Challenges tackled with AI/ML
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Overcome your challenges with ODYSSEE solutions
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ODYSSEE CAE
Perform CAE design space exploration to broaden your horizons
ODYSSEE CAE is an innovative platform for engineers that integrates machine learning, artificial intelligence, reduced order modelling, and design optimisation into workflows. It enables cost-efficient digital twin creation through real-time predictive modelling and optimisation by leveraging CAE simulation and physical test data. With minimal prior simulations, ODYSSEE CAE can quickly generate accurate results (with deformation, stresses, ...) and full-time history outputs.
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ODYSSEE A-EYE
Image based learning and prediction
ODYSSEE A-Eye is a machine learning solution for accelerating product design and development through image and CAD-based learning. Using images, CAD and sensor data as inputs, ODYSSEE A-Eye creates customised AI applications that predict output responses and field data. This enables designers and production technicians to explore the design space thoroughly and design next-generation products efficiently without excessive computing time and cost.
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ODYSSEE Solver
The powerful AI engine
ODYSSEE Solver includes the Artificial Intelligence engine Quasar and the optimiser Nova. Quasar is an object-oriented programming language that allows configurable computations for data mining, prediction, interpolation, classification, image processing, matrix operations etc. Quasar is the AI engine powering ODYSSEE products, and it is integrated into multiple Hexagon products:
- Cradle
- MSC Nastran through smart sub-modeling
- Adams through FMU
... and more ...
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ODYSSEE Explore
Data analysis and data mining managed by interactive dashboards
ODYSSEE Explore is an application for exploratory data analysis and data visualisation:
- Perform data preprocessing and feature engineering before using the data for machine learning.
- Visualise output responses and outliers.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Solving problems in real-time & optimising product design
ODYSSEE CAE can predict historical curves and complete field data at all nodes and elements (stress, strain, ...) in a way that is completely data-driven and CAE solver independent.
ODYSSEE can deploy different machine learning and reduced order modeling techniques to extract important features from your data. This enables the creation of highly accurate data-based surrogate models.
ODYSSEE ROM-based optimisers can perform efficient optimisation in real-time. Multi-objective and multi-constraint optimisation studies can be defined with ease.
Parsers - Data-driven and CAE solver independent
To be more efficient during data preparation and preprocessing, ODYSSEE CAE proposes dedicated parsers (MSC Nastran, Adams and LS-DYNA) and a multi-purpose generic parser adaptable for any software.
The parsers dedicated for Marc, Cradle CFD, and MSC Apex are respectively integrated into Mentat ScFlow and MSC Apex.
Adaptive DOE methods
Different algorithms are available for DOE sampling. These algorithms allow adding new sample points to improve space-filling. They also allow reducing the sample points to effectively handle large datasets.
ODYSSEE enables adaptive sampling that generates results in real-time when new points are added.
Embed ODYSSEE models in CAE through FMU and smart superelements
Parametric superelement (for MSC Nastran or Marc), parametric FMUs (for Adams and electronics devices...) can be generated with ease in ODYSSEE.
Replace a complete model with an ODYSSEE representative element for quick parametric studies and faster computation times.
Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality
Process images (JPG and PNG formats) and CAD files (STEP and STL formats) directly in A-Eye. Easily associate these with scalars, curves and labels.
Images can be geometry design views, manufactured parts snapshots or simulation field data.
The capability can be implemented for quality inspection, manufacturing fault detection and forecasting.
Scripting with Quasar or Python
ODYSSEE Solver is built on an object-oriented language called Quasar. But it also supports Python.
- Easy to automate any process or integrate into internal software.
- Quasar is a powerful language, but engineers are familiar with Python. They can access ODYSSEE libraries with maintenance and support.
- Built-in AI/ML, ROM, STATS, OPTIMIZATION, RELIABILITY, FORECASTING, and process monitoring libraries.
- "No-code" access to all the above (very little scripting, just a couple of lines...).
Learn more about ODYSSEE
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Whitepaper
Optimising gearbox performance
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Brochure
Design & Engineering simulation solutions
Whitepaper
Emergence of artificial intelligence and machine learning
Whitepaper
Data science and artificial intelligence
Whitepaper
Optimising gearbox performance
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Automotive
Optimising gearbox mechanisms
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Automotive
Optimising gearbox mechanisms
Automotive
Pedestrian protection using the ODYSSEE suite
Automotive
Reduced order modeling of advanced versatile seats
Automotive
Dynamic load prediction of a wheel
Automotive
Exploration of innovative crash structure design trends
Automotive
Injury prediction considering driving posture
Medical
Real-time design of 3D-printed orthopedic insoles
Oil & Gas
Optimisation of casing buckling and deformation responses in shale gas wells
Materials
How to optimise the design of vibration insulators using ML-ROM
Automotive
AI/ML based prediction of crash parameters using ODYSSEE CAE
Automotive
AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE
Energy
Building and running the smartest solar farm in the world
Automotive
Optimising gearbox mechanisms
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Seminarios web
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Seminario webUsing AI to develop the aircraft of tomorrow
-
Seminario webTaking advantage of Artificial Intelligence
-
Seminario webIntegrative simulation workflows...
-
Seminario webGet CFD results in real-time
-
Seminario webMachine Learning for Real-time CAE Simulations
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Seminario webNavigating the AI/ML Landscape webinars
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Seminario webUsing Machine Learning To Make CFD Predictions
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Seminario webUsing ML/ROM to Enable CAE, Manufacturing
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Seminario webUsing ODYSSEE and Adams in suspension design
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Seminario webHigh Value Automotive Applications from Applied ML
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Seminario webReal Time Parametric Simulation using ODYSSEE
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Seminario webHow to get acoustic performances using machine learning
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Seminario webCombining Material Databases and AI
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Ready to get started?
¿Esta listo para comenzar?
-
Seminarios web
-
Seminario webUsing AI to develop the aircraft of tomorrow
-
Seminario webTaking advantage of Artificial Intelligence
-
Seminario webIntegrative simulation workflows...
-
Seminario webGet CFD results in real-time
-
Seminario webMachine Learning for Real-time CAE Simulations
-
Seminario webNavigating the AI/ML Landscape webinars
-
Seminario webUsing Machine Learning To Make CFD Predictions
-
Seminario webUsing ML/ROM to Enable CAE, Manufacturing
-
Seminario webUsing ODYSSEE and Adams in suspension design
-
Seminario webHigh Value Automotive Applications from Applied ML
-
Seminario webReal Time Parametric Simulation using ODYSSEE
-
Seminario webHow to get acoustic performances using machine learning
-
Seminario webCombining Material Databases and AI
-