Key technology : Confidence E. Fournier J.M. Crepel
- Validation and certification - QA procedure,
- standardisation
- Correlation with physical tests - Uncertainty, robustness
- How to eliminate a gateway
- Certification of engineers, training
Key technology : Confidence E. Fournier J.M. Crepel
- Validation and certification - QA procedure,
- standardisation
- Correlation with physical tests - Uncertainty, robustness
- How to eliminate a gateway
- Certification of engineers, training
Initial motivation :
- How to save money using CAE ? (back to design process)
© Copyright : Renault 2005
Auteur : J.M. CREPEL /DDIV/DCRPV
© Copyright : Renault 2005
Auteur : J.M. CREPEL /DDIV/DCRPV
Developed in 28.5 months,
with only 1 set of prototypes,
Reduced design time
40 to 50 months
25 to 30 months
2
2
1
>3
1
Style selection
SOP
‘90
‘00
Prototype
lot
Driving changes toward digital design process
- Developing simulation knowledge
- Introducing Digital Mockup and Performance review - Reducing number of prototypes lots
Confidence in simulation remains the basic point for driving changes
« Nobody believes simulation results except the one who did the simulation…
…and everybody believes the test results except the one who did them»
Confidence in simulation remains the basic point for driving changes
« Nobody believes simulation results except the one who did the simulation…
…and everybody believes the test results except the one who did them»
How far to trust CAE ? A step-by-step process : Renault experience
JM CREPEL & E FOURNIER, RENAULT (France)
CAE Process : in order to describe a physical phenomenon
Mathematical models and differential equations
Input Data Results
Software (1/2) : tool for conception for engineers
Given a mathematical model and equations
Imprecision due to software and algorithm / numerical method :
Algorithm : choice of approximation (1st order, 2d order …) Stability
Convergence
Gap control
Confidence in an algorithm / numerical method
Software (2/2)
Given a appropriated algorithm Software validation
Analytical solution
Validation on academic cases / test cases
Validity domain for software and accuracy evaluation Benchmark between different software
Confidence in a software describing the physical phenomenon
Gap between CAE and reality under control
CAE Process : software and hardware association
Input Data Results
Hardware
Hardware / Software
Given a appropriated software
Quality insurance
Current status in software vendors Functionality tests acceptance
Hardware / Software integration Implementation tests
Evolution of material and software : Configuration management
Test of non-regressions
Which confidence for which decision?
Input Data
Hardware
Methodology &
Numerical Methods
Results
Decision Physical
phenomenon
Given a physical phenomenon
Given a decision to take at a fixed milestone :
Choice of S/H tools in order to take the right decision / milestone Choice of mathematical model :
Mathematical approximation :
Equations describing accurately the phenomenon
Physical reality should be represented as well as needed
Limit of CAE / experience comparison :
Observation / measures
Decision criteria & application domain
Margin
Goal : Not to reproduce physical observation !
But to take the right decision, depending on project phase
Standardization of methodology as well as for experimental method
CAE knowledge database
Fiche N° 65XXX/YY/ZZ
Métier : (indiquer le nom du métier au sens DIEC= découpage GFE ou nom de la prestation) Sujet : (titre global)
Support métier
Type : (Exploratoire : en cours de création de l’outil ou de la méthode, pilote : 1ère mise en situation en conservant en parallèle la méthode traditionnelle en précisant le projet pilote, opérationnelle : validé, corrélé, limites connues, officiellement reconnu)
Outils/logiciels (KULI AC)
Mise à jour le (on peut préciser qui a fait la mise à jour)
Description générale
présentation de la philo du calcul réalisé
Sorties attendues
il s’agit des sorties « physiques » du calcul (ex : cartographie de pression), on précisera s’il y a lieu les destinataires (ex : DICAP)
Entrées Source Disponibilité souhaitée des entrées
• Le circuit de climatisation du
véhicule • UET Confort Thermique /
64862
3 itérations : Pré-contrat, Gel Design 100%, PPP3
• Caractéristiques du vase
d’expansion : • ...
Délai pour la mise en donnée et le calcul
(1 semaine, préciser le plus de chose possible : calcul unitaire ou vague de calcul, préparation des données, l’idée étant de donner un ordre de grandeur sur le délai entre mise à dispo de données et premier retour)
Gain estimé par rapport à un essai physique remplacé
en terme de gain QCDP ,dans un 1er temps on exprime de façon factuel le gain (ex : résultat connu 6 mois plus tôt et intégration de modification en PPP3 vague 1 au lieu de PSP) sans chercher à chiffrer
on peut préciser si le gain est constaté (en opérationnel) ou attendu (pilote ou exploratoire)
linked with additional technical documents this sheet characterizes linked with additional technical documents this sheet characterizes Identifier
Type
How When
Why
Other info Who
Maturity Accuracy
Complexity
Research/
Advanced devptFirst applied Used in project
