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Automotive CAE Design Exploration Campaign Planning

30 Chapters
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01
Campaign planning fundamentals
defining design exploration objectives, scope, and success criteria for automotive CAE-driven programs.
Campaignplanning
02
Vehicle program context
mapping CAE exploration campaigns to milestone gates, attribute targets, and cross-functional deliverables.
CAEexploration
03
Design space definition
parameterizing CAD and CAE models for body, chassis, powertrain, and thermal subsystems.
definitionparameterizing
04
CAE model readiness
mesh quality, solver settings, and correlation baselines required before launching a design exploration campaign.
CAEreadiness
05
Design of Experiments (DOE) strategies
full factorial, fractional factorial, Latin hypercube, and optimal DOEs for automotive CAE responses.
ExperimentsDOE
06
Response selection and metrics
choosing crash, NVH, durability, aerodynamics, and thermal KPIs for campaign objectives.
Responseselection
07
Sampling plan construction
balancing coverage, cost, and fidelity across CAE solvers and load cases.
Samplingconstruction
08
Surrogate modeling foundations
response surface, Kriging, radial basis functions, and Gaussian process models for CAE data.
Surrogatemodeling
09
Surrogate model validation
cross-validation, error metrics, and trust region criteria for automotive CAE predictions.
Surrogatevalidation
10
Multi-fidelity modeling
combining coarse and fine CAE simulations to accelerate design exploration campaigns.
Multi-fidelitymodeling
11
Optimization problem formulation
design variables, constraints, objectives, and robustness requirements in automotive CAE.
Optimizationformulation
12
Single-objective optimization
gradient-based, genetic algorithm, and surrogate-assisted methods for CAE design studies.
Single-objectiveoptimization
13
Multi-objective optimization
Pareto frontiers, trade-off analysis, and decision-making for vehicle attribute conflicts.
Multi-objectiveoptimization
14
Robust design and reliability
accounting for manufacturing variation, material scatter, and load uncertainty in CAE campaigns.
reliabilityaccounting
15
Crashworthiness exploration
DOE and optimization for frontal, side, and rear impact CAE models.
Crashworthinessexploration
16
NVH and modal exploration
planning campaigns for body-in-white, chassis, and subsystem frequency response targets.
NVHexploration
17
Durability and fatigue exploration
load spectra, fatigue life prediction, and design sensitivity in CAE campaigns.
Durabilityexploration
18
Aerodynamics and thermal exploration
CFD-driven shape optimization and cooling performance trade-offs.
Aerodynamicsexploration
19
Lightweighting campaigns
material selection, gauge optimization, and topology exploration for body structures.
Lightweightingcampaigns
20
Battery electric vehicle CAE exploration
pack structure, thermal management, and crash safety campaign planning.
electricCAE
21
Powertrain and driveline exploration
NVH, durability, and efficiency trade-offs in ICE and hybrid systems.
Powertraindriveline
22
Chassis and suspension exploration
kinematics, compliance, and ride-handling CAE optimization campaigns.
suspensionexploration
23
Campaign workflow automation
scripting, job submission, and data management for large-scale CAE exploration.
Campaignworkflow
24
HPC and cloud resource planning
scheduling, parallelization, and cost control for CAE design campaigns.
HPCresource
25
Data analytics for CAE campaigns
sensitivity analysis, ANOVA, and machine learning for design insight extraction.
analyticsCAE
26
Visualization and reporting
dashboards, trade-off plots, and decision support for engineering and management reviews.
Visualizationreporting
27
Integration with MBSE and PLM
linking CAE exploration results to requirements, BOMs, and change management.
IntegrationMBSE
28
Campaign execution case study
full vehicle frontal crash DOE and optimization from setup to final design recommendation.
Campaignexecution
29
Campaign execution case study
NVH and lightweighting multi-objective exploration for a body-in-white.
Campaignexecution
30
Campaign review and continuous improvement
lessons learned, process metrics, and scaling CAE exploration across vehicle programs.
Campaigncontinuous