ODYSSEE

Lösa dina tekniska problem i realtid

ODYSSEE

Lösningar i realtid för konstruktion, tillverkning och kvalitet

Kontakta oss

ODYSSEE CAE är en unik och kraftfull CAE-centrerad innovationsplattform som gör det möjligt för ingenjörer att tillämpa maskininlärning, artificiell intelligens, reducerad ordermodellering (ROM) och designoptimering på arbetsflöden. Det gör att du kan dra nytta av modern datavetenskapsteknik genom att skapa kostnadseffektiva digitala tvillingar genom prediktiv modellering och optimering i realtid för både CAE-simuleringsdata och fysiska testdata.

Odyssee-logotyp

ODYSSEE A-Eye är en unik och kraftfull bildbaserad maskininlärningslösning som snabbar på produktdesign och utveckling via parametrisk simulering och optimering i realtid med hjälp av maskininlärning och AI-lösningar (artificiell intelligens). Med ODYSSEE A-Eye kan du skapa din egen AI-applikation baserad på bilddata, sensordata, skalärer, etiketter, kurvor och CAD-data som indata och sedan förutsäga svar med hjälp av kända data i ditt system. Med dessa insikter kan designer och produktionstekniker utforska designutrymmet mer omfattande och interaktivt och förbättra nästa generations produkter utan att kostnader eller tid utgör ett hinder för beräkningarna.

I ODYSSEE ingår:

Maskininlärning och AI
Statistik, datautvinning, datafusion
Optimering och robusthet
Processidentifiering
Bildigenkänning och komprimering

ODYSSEE – Optimalt beslutsstödsystem för teknik och expertis

ODYSSEE CAE
ODYSSEE CAE förbättrar dina kunskaper genom att i realtid besvara komplexa tekniska frågor som annars skulle ta hundratals timmar att simulera och analysera. Med bara några få tidigare CAE-simuleringar förutsäger, optimerar och genererar ODYSSEE tillförlitligt exakta resultat i realtid. ODYSSEE CAE producerar historikutdata på heltid, inklusive fullständig CAE-analys med detaljerad efterbehandling av resultat.

Beräkningsbaserad vätskedynamik (CFD)

Strukturer

Material

Akustik

Systemdynamik

Systemdynamik

Autonomi

Tillverkning

ODYSSEE A-Eye
Möjliggör förutsägelse och optimering i realtid med bildbaserad maskininlärning för alla branscher.

Bilder
Sensorer
Skalärer
Etiketter
Kurvor
CAD

ODYSSEE-A-Eye gör det möjligt att skapa specialanpassningar för produktion/icke-ingenjörer med hjälp av bildbaserad prognos eller baserat på CAD-geometri (STEP).

Quality Odyssee

Andra användningsområden:

Övervakning av tillverkningsfel (gjutning)
Fastställande av kostnadsindikatorer för verktyg
Felkarakterisering för kvalitetskontroll
Byggbarhet: Byggrisk, osäkerhet och beslut
Diagnostisk prediktion av lunginfektioner baserat på MRT-bilder
Fjärrövervakning av patienter kompletterad med prediktiv modell i realtid
Flygsimulator (landningsförhållanden)
Selektiv komprimering och klassificering av satellitbilder

Odyssee-diagram

Challenges tackled with AI/ML

Inefficient processes –

Manual processes that are time-consuming and error-prone that lead to lower efficiency and productivity.

Higher costs –

Expensive manual processes that result in higher operational costs.

Limited scalability –

Difficulty scaling operations, handling large datasets and complex processes.

Inaccurate decision-making –

Limited data available to make informed decisions, leading to inaccurate or suboptimal outcomes.

Lower quality –

Lower quality products or services that lack capabilities to optimise processes and identify areas for improvement.

Overcome your challenges with ODYSSEE solutions

Reduce costs by optimising processes, predicting maintenance needs, and minimising waste

Better decision-making and faster predictive analysis & optimisation through AI/ML algorithms

Identify patterns and trends in data that allow faster predictions and forecasts

Adaptive learning with continuous improvement

Scalability to handle large and complex data sets and processes

ODYSSEE CAE

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.

ODYSSEE A-EYE

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.

ODYSSEE Solver

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 ...

ODYSSEE Explore

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.

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.

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.

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.

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.

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.

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...).

"ODYSSEE CAE enables a comprehensive crash model to be run on a laptop with a run-time reduction of 95% compared to a research cluster. The reduced time and power needed allow parametric optimization for realistic crash simulation to improve safety and to set new trends in safety analysis."

Bengt Pipkorn

Director of simulation and active structures

Autoliv

"ODYSSEE CAE provided a straightforward solution to a very large optimisation study including time/history information."

Jesper Christensen

Associate Professor

Cranfield University

"Whereas finite element solutions would have taken more than 1000 hours to achieve the solution for the full design space, ODYSSEE CAE was able to accurately predict the full response within seconds."

Laike Misikir

Vehicle crash safety and CAE Engineer

Ford Motor Company

"ODYSSEE CAE helps Faurecia reduce the time required for crash safety simulations by over 97% for the Cockpit of the Future. Hard test results can be used to predict a different test configuration thanks to ROM."

Steeve Laine

Calculation/Simulations Engineer

Faurecia Brieres Tech Center

"Frequency dependent damper modeling with ODYSSEE helped us to explore beyond traditional modeling of damper characteristics in MBD simulations. This gave us the impetus to incorporate more complex damper characteristics and improve the fidelity of the simulation models."

Lenka Visweswara Rao

Senior Engineer (CAE Vehicle Dynamics)

Mahindra & Mahindra Ltd.

"Beyond simply increasing design efficiency, ODYSSEE CAE will be used to quickly quantify and evaluate digital data, thus enabling new designs without relying on a few individual skills."

Hiroshi Nasuno PhD

Team leader of Mechanism Analysis Group

Taica Corporation

"By using the ML (ODYSSEE), we can reduce the number of Finite Elements Method (FEM) by about 87% with high estimation accuracy."

Prof. Yuki Hidaka

Associate Professor

Nagaoka University of Technology

"By using ODYSSEE ROM, the results of parameter changes can be easily obtained by non-specialists without having to worry about complicated setting changes or errors."

Masahiro Takeda

CAE Engineer

JSOL

"Real-time computing because you literally spend no time doing any parametric studies, it only takes a few seconds."

Divesh Mittal

Engineering & Software Manager

ETA

"The approach in this study is unique, as it can capture the pertinent parameters influencing the casing buckling and the evaluation of the magnitude of each."

James Njuguna

Professor of Composite Materials

Robert Gordon University

Learn more about ODYSSEE

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ODYSSEE CAE

Perform CAE design space exploration to broaden your horizons.

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ODYSSEE

ODYSSEE

Kontakta oss

ODYSSEE – Optimalt beslutsstödsystem för teknik och expertis

Challenges tackled with AI/ML

Overcome your challenges with ODYSSEE solutions

Solving problems in real-time & optimising product design

Parsers - Data-driven and CAE solver independent

Adaptive DOE methods

Embed ODYSSEE models in CAE through FMU and smart superelements

Directly use images and CAD (step, stl) files for modeling and parametric design or production/quality

Scripting with Quasar or Python

Learn more about ODYSSEE

ODYSSEE CAE

ODYSSEE A-Eye

Design & Engineering simulation solutions

MSCOne

Emergence of artificial intelligence and machine learning

Data science and artificial intelligence

Optimising gearbox performance

Pedestrian protection using the ODYSSEE suite

Mahindra

Reduced order modeling of advanced versatile seats

Dynamic load prediction of a wheel

Exploration of innovative crash structure design trends

Method for efficient combined avoidance manoeuvre and crash analysis using active human body modeling

Injury prediction considering driving posture

Real-time design of 3D-printed orthopedic insoles

Optimisation of casing buckling and deformation responses in shale gas wells

How to optimise the design of vibration insulators using ML-ROM

Smart motor design with ODYSSEE CAE

AI/ML based prediction of crash parameters using ODYSSEE CAE

AI/ML based trimmed body NTF and global modes prediction and optimisation using ODYSSEE CAE

Building and running the smartest solar farm in the world

Optimising gearbox mechanisms

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