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Six Sigma Foundations and DMAIC for Automotive CAE

30 Chapters

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Six Sigma fundamentals in automotive engineering

origins, sigma levels, DPMO, and the cost of poor quality in vehicle programs.

DMAIC roadmap for CAE-driven product development

phase gates, deliverables, and integration with APQP and engineering change management.

DMAICCAE-driven

Voice of the customer to CTQ flow-down for automotive CAE

translating NVH, crash, durability, and thermal targets into measurable simulation requirements.

Process mapping and SIPOC for CAE workflows

identifying inputs, outputs, and critical process steps in mesh generation, solver setup, and post-processing.

Measurement system analysis for CAE

validating simulation model repeatability and reproducibility through benchmark problems and grid convergence studies.

Measurementanalysis

Data collection planning for CAE

sampling strategies, design of experiments, and run matrix definition for automotive load cases.

collectionplanning

Descriptive statistics and graphical analysis for CAE results

distributions, box plots, and Pareto analysis of simulation output variations.

Descriptivestatistics

Process capability and performance metrics for CAE predictions

Cp, Cpk, and tolerance interval analysis against physical test data.

capabilityperformance

Hypothesis testing for CAE model validation

t-tests, ANOVA, and equivalence testing between simulation and test measurements.

Correlation and regression analysis in automotive CAE

relating mesh density, material parameters, and boundary conditions to response variables.

Correlationregression

Design of Experiments (DOE) screening for CAE

fractional factorial designs to identify influential factors in crash and stiffness simulations.

Response surface methodology for CAE optimization

building surrogate models for weight reduction and performance trade-offs.

Responsemethodology

Root cause analysis in CAE-driven failure investigations

fishbone diagrams, 5 Whys, and fault tree analysis applied to simulation discrepancies.

analysisCAE-driven

Failure mode and effects analysis (FMEA) linked to CAE

using simulation to assess severity, occurrence, and detection in automotive design.

Measurement systems for physical validation

correlating CAE with test rig data, sensor placement, and uncertainty quantification.

Measurementphysical

Improve phase in CAE

robust design, parameter optimization, and tolerance allocation using simulation-based DOE.

Lean principles applied to CAE processes

reducing waste in model build, solver runtime, and data handling through value stream mapping.

Statistical process control for CAE model quality

control charts for monitoring simulation consistency across iterations.

DMAIC applied to brake squeal simulation — from problem definition to validated countermeasure.

DMAICsimulation

CAE-driven lightweighting of a body-in-white structure using Six Sigma tools for stiffness and crashworthiness.

CAE-drivenlightweighting

reducing HVAC noise variability through CAE DOE and correlation with acoustic test data.

battery thermal management simulation improvement using DMAIC and response surface optimization.

managementsimulation

suspension durability CAE correlation — measurement system analysis and regression modeling.

suspensiondurability

front-end crash pulse optimization using Six Sigma screening and robust design.

front-endoptimization

CFD-based aerodynamics drag reduction with DMAIC and surrogate modeling.

CFD-basedaerodynamics

seat comfort simulation validation using hypothesis testing and process capability analysis.

simulationvalidation

tire-pavement interaction noise CAE — root cause analysis and improvement verification.

tire-pavementinteraction

chassis weld fatigue life prediction — DOE and FMEA integration for reliability improvement.

vehicle thermal soak simulation — measurement system analysis and control plan development.

simulationmeasurement

Capstone project

end-to-end DMAIC for an automotive CAE problem — scoping, data collection, analysis, improvement, and control plan.

Capstoneend-to-end