ODYSSEE (CADLM)
Доступ к широчайшим возможностям исследования проектного пространства при инженерном моделировании и анализе
ODYSSEE
Real-time solutions for engineering, manufacturing and quality.
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Обзор
ODYSSEE – мощный пакет модулей (Lunar, Quasar и Nova), разработанный нашим партнером -–компанией CADLM. Это уникальная и мощная инновационная платформа, ориентированная на CAE, которая позволяет применять в процессе проектирования передовые технологии машинного обучения, искусственного интеллекта, технологии построения моделей редуцированной размерности (ROM) и оптимизации конструкции.
Пакет ODYSSEE это:
- Машинное обучение и искусственный интеллект
- Методы статистического и интеллектуального анализа данных и их классификации
- Методы оптимизации и повышения устойчивости систем
- Изучение и анализ процессов
- Распознавание изображений и сжатие данных
Ключевые аспекты Lunar:
Интеллектуальная DOE (система подготовки эксперимента)
- Адаптированный DOE инструментарий
- Инструмент улучшения существующего DOE
- DOE может включать расчетные модели, результаты испытаний или и то и другое одновременно
Вычисления в реальном режиме времени
- Ничтожные затраты на параметрические исследования и оптимизацию
- Генерация корридоров / популяций входных данных
Универсальная обобщенная реализация (нет привязки к конкретной предметной области или области анализа)
- Например, работает со следующими областями инженерного анализа: прочностной, тепловой, акустический анализ, вычислительная гидрогазодинамика и тепломассоперенос (MSC Nastran, Marc, Adams, Cradle CFD, Actran)
Автоматизация / Парсер
- Автоматический постпроцессинг
Сокращает требуемые ресурсы для инженерного моделирования и анализа
- Для обучения алгоритма требуется лишь несколько разумно выбранных наборов входных параметров
- Адаптивное обучение, позволяющее проводить дообучение алгоритма для повышения точности прогнозирования
Точность и завершенность
- Вывод результатов по времени (не только скалярные значения времени исследуемого процесса)
- Декомпозиция физической области и не подгонка (это НЕ метод поверхности отклика!)
На основе результатов можно создавать 3D анимации
- Не интерполяция, а реконструкция отклика конструкции
- Реконструкция значений напряжений / перемещений
Доступны инструменты оценки качества прогнозов
- Комплексный анализ качества параметров
- Комплексный анализ качества DOE
- Наилучшие методы для вашего приложения…
Оптимизация с использованием Nastran SOL700 и ODYSSEE
Оптимизация на основе сопряженного расчета Marc и Cradle с применением Lunar
Преимущества
Инженерный анализ в режиме реального времени
- С помощью Lunar вы можете управлять основными шагами в процессе моделирования и анализа в реальном режиме времени с параметрическими исследованиями и оптимизацией, при этом с обучением алгоритма на небольшом числе обучающих наборов данных
- Концептуальное проектирование: параметрические исследования, пробы и ошибки
- Детальное моделирование: оптимизация, доводка модели
- Валидация: исследования надежности и устойчивости системы
Преимущества ODYSSEE заинтересуют всю вашу организацию:
- Руководителей инженерных проектов
- Специалистов расчетных подразделений
- Руководителей конструкторских бюро, главных инженеров
- Подразделения закупки, снабжения и организации проектных работ
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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