首页
›
English Technical Courses
›
013-Six Sigma for CAE LS-DYNA and Occupant Restraint Engineering
›
《DMAIC Root Cause Investigation for Crash Simulation Discrepancies》
VIP20
本课程属于:013-Six Sigma for CAE LS-DYNA and Occupant Restraint Engineering
English Technical Courses · 共 20 门相关课程,组合学习更完整。
查看所属VIP全部课程 →
← 返回所属目录
咨询 / 购买
📘
DMAIC Root Cause Investigation for Crash Simulation Discrepancies
30 Chapters
View Course Samples Online
01
DMAIC framework for crash simulation discrepancies
Define phase scoping, project charter, and stakeholder alignment.
DMAIC
framework
02
Characterizing crash simulation discrepancies
types, sources, and impact on CAE-driven design decisions.
Characterizing
simulation
03
Define phase deliverables
problem statement, measurable CTQs, and boundary definition for simulation correlation projects.
deliverables
statement
04
Measurement system analysis for crash simulation
validating solver outputs, instrumentation data, and correlation metrics.
Measurement
analysis
05
Data collection planning
DOE for simulation runs, run matrix design, and managing computational cost.
collection
planning
06
Baseline capability assessment
quantifying discrepancy magnitude using correlation metrics (e.g., ISO/SAE J2749, MADYMO-based ratings).
Baseline
capability
07
Measurement phase gate review
verifying data integrity, repeatability, and reproducibility of simulation results.
Measurement
verifying
08
Analyze phase overview
stratification, graphical analysis, and multi-vari studies for simulation discrepancies.
stratification
graphical
09
Cause-and-effect analysis
Ishikawa diagrams, FMEA, and fault tree analysis applied to crash simulation workflows.
Cause-and-effect
analysis
10
Hypothesis testing for simulation correlation
statistical tests for comparing curve signals and injury criteria.
Hypothesis
simulation
11
Sensitivity analysis and variance decomposition
identifying dominant model parameters via Sobol indices and ANOVA.
Sensitivity
analysis
12
Root cause verification
designed simulation experiments to confirm suspected causes (e.g., material model, contact, boundary conditions).
verification
designed
13
Common root cause categories in crash simulation
geometry idealization, mesh quality, material card errors, and solver settings.
categories
simulation
14
Root cause investigation for intrusion and acceleration pulse discrepancies
case-based analysis.
investigation
intrusion
15
Root cause investigation for occupant injury criteria discrepancies
dummy model, restraint system, and belt routing issues.
investigation
occupant
16
Improve phase
generating and prioritizing countermeasures for simulation correlation improvement.
generating
prioritizing
17
Model updating and calibration strategies
parameter identification, optimization, and validation against physical tests.
updating
calibration
18
Implementing countermeasures
updating CAE best practices, solver settings, and material databases.
Implementing
countermeasures
19
Pilot validation of improvements
confirmation runs, cross-validation, and correlation metric re-assessment.
validation
improvements
20
Control phase
standardizing correlation workflows, documentation, and knowledge management.
standardizing
correlation
21
Statistical process control for simulation correlation
control charts for key output metrics and drift detection.
Statistical
simulation
22
Lessons learned and continuous improvement
integrating DMAIC findings into CAE quality systems.
continuous
improvement
23
Case study
DMAIC investigation of a frontal impact simulation discrepancy—from define to control.
DMAIC
investigation
24
Case study
side impact simulation correlation issue—root cause and improvement.
simulation
correlation
25
Case study
pedestrian protection simulation mismatch—measurement and analysis phases.
pedestrian
protection
26
Practical workshop
building a project charter and measurement plan for a given simulation discrepancy.
workshop
building
27
Practical workshop
conducting root cause analysis using Ishikawa and hypothesis testing on sample data.
workshop
conducting
28
Practical workshop
designing a DOE for model calibration and validating improvements.
workshop
designing
29
Practical workshop
developing control plan and standard operating procedures for simulation correlation.
workshop
developing
30
Capstone project
end-to-end DMAIC investigation of a real-world crash simulation discrepancy, including report and presentation.
Capstone
end-to-end
所属VIP或分类
同VIP:Airbag-and-Seatbelt-Parameter-Tunin
同VIP:Correlation-and-Regression-Models-f
同VIP:Engineering-Probability-and-Statist