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CAE Simulation Workflow Automation Program Management

30 Chapters
View Course Samples Online
01
CAE simulation workflow automation program management
scope, definitions, and the engineering value chain from CAD to simulation results.
CAEsimulation
02
Mapping the end-to-end CAE workflow
geometry preparation, meshing, solver setup, post-processing, and reporting as automation targets.
end-to-endCAE
03
Program governance for CAE automation
roles, responsibilities, steering committees, and decision rights across simulation teams.
governanceCAE
04
Requirements engineering for CAE automation programs
capturing stakeholder needs, use cases, and acceptance criteria.
RequirementsCAE
05
Baseline assessment
auditing current CAE processes, identifying bottlenecks, and quantifying manual effort.
Baselineassessment
06
Business case development
ROI models, cost-benefit analysis, and justification for CAE workflow automation investments.
Businessdevelopment
07
Roadmap and release planning
phased delivery, MVP definition, and incremental automation capability rollout.
planningdelivery
08
Toolchain architecture for CAE automation
CAD, meshing, solvers, optimization, and data management integration.
Toolchainarchitecture
09
Workflow orchestration engines
process modeling, job scheduling, and dependency management for simulation pipelines.
Workfloworchestration
10
Scripting and API integration
Python, Tcl, and vendor APIs for automating CAE pre- and post-processing tasks.
ScriptingAPI
11
Parameterization and design of experiments
automating geometry variation, mesh morphing, and solver input generation.
Parameterizationexperiments
12
Automated meshing strategies
template-driven meshing, quality checks, and adaptive refinement workflows.
Automatedstrategies
13
Solver automation
batch execution, license management, and error handling for structural, thermal, and CFD solvers.
automationexecution
14
Post-processing automation
result extraction, KPI computation, and automated report generation.
Post-processingautomation
15
Data management and traceability
versioning simulation models, results, and automation scripts in PLM/SPDM systems.
managementtraceability
16
Workflow validation and verification
regression testing, benchmark cases, and automated QA for simulation pipelines.
Workflowvalidation
17
HPC and cloud integration
job submission, resource scaling, and cost management for automated CAE workflows.
HPCintegration
18
User interface and experience design for CAE automation
dashboards, wizards, and self-service simulation portals.
interfaceexperience
19
Change management and training
driving adoption, upskilling engineers, and managing resistance to automation.
managementtraining
20
Agile program management for CAE automation
sprint planning, backlog grooming, and cross-functional team coordination.
managementCAE
21
Risk management in CAE automation programs
technical, organizational, and vendor-related risks and mitigations.
managementCAE
22
Metrics and KPIs
measuring automation coverage, cycle time reduction, and simulation throughput improvement.
KPIsmeasuring
23
Case study
automating a structural durability workflow for automotive chassis components.
automatingstructural
24
Case study
automating thermal management simulation for electronics cooling in consumer devices.
automatingmanagement
25
Case study
automating CFD workflows for aerodynamic design exploration in aerospace.
automatingCFD
26
Case study
automating multi-physics simulation for battery pack design and safety analysis.
automatingmulti-physics
27
Scaling automation across global engineering teams
standardization, localization, and governance.
automationstandardization
28
Vendor and open-source ecosystem
evaluating commercial CAE automation platforms and community tools.
open-sourceecosystem
29
Emerging trends
AI/ML-assisted automation, generative design, and digital twin integration in CAE workflows.
EmergingAI/ML-assisted
30
Capstone project
designing and presenting a CAE simulation workflow automation program plan for a real engineering scenario.
Capstonedesigning