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《Excel Data Analysis and Automated Reporting for CAE Engineers》
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Excel Data Analysis and Automated Reporting for CAE Engineers
30 Chapters
View Course Samples Online
01
Course overview
scope, CAE data workflows, Excel's role in analysis and reporting, and the automation mindset for engineers.
CAE
workflows
02
CAE data sources and formats
importing solver output (CSV, TXT, DAT), handling large result files, and structuring raw data for Excel analysis.
CAE
importing
03
Data cleaning and validation for CAE results
removing duplicate nodes/elements, handling missing values, unit consistency checks, and outlier detection in simulation data.
cleaning
validation
04
Excel tables and structured references
converting CAE result ranges into tables, using structured formulas, and building dynamic named ranges for recurring analyses.
structured
references
05
Essential formulas for CAE data analysis
lookup functions (XLOOKUP, INDEX/MATCH), conditional aggregation (SUMIFS, COUNTIFS), and array formulas for result extraction.
Essential
formulas
06
Statistical analysis of simulation results
descriptive statistics, distribution fitting, confidence intervals, and variability assessment across design iterations.
Statistical
analysis
07
PivotTables for CAE result exploration
summarizing parametric study outputs, cross-tabulating load cases, and creating interactive dashboards for design reviews.
PivotTables
CAE
08
Data visualization for engineering reports
XY scatter plots for convergence, contour-style heatmaps, box plots for scatter in results, and chart formatting for clarity.
visualization
convergence
09
Sensitivity and parametric study analysis
setting up one-factor-at-a-time and multi-factor designs, computing sensitivities, and visualizing parameter-response relationships.
Sensitivity
parametric
10
Correlation and regression for CAE data
Pearson/Spearman correlation, linear and polynomial regression of simulation outputs, and residual analysis for model validation.
Correlation
regression
11
Design comparison and trade-off studies
comparing multiple CAE configurations, normalized ranking, and weighted scoring using Excel formulas and tables.
comparison
trade-off
12
Handling time-history and transient results
importing time-step data, computing peaks, RMS, and frequency content via Excel formulas and charts.
Handling
time-history
13
Mesh convergence and verification data
organizing mesh density studies, computing convergence metrics, and generating verification plots automatically.
convergence
verification
14
Automated report generation with Excel templates
designing reusable report layouts, linking analysis sheets, and using cell styles for consistent formatting.
Automated
generation
15
Introduction to VBA for CAE reporting
macro recorder, VBA editor, object model (Workbook, Worksheet, Range), and writing simple automation scripts.
VBA
CAE
16
Automating data import and refresh
VBA routines to load solver output files, refresh queries, and update result tables without manual intervention.
Automating
VBA
17
Dynamic report assembly with VBA
copying charts, updating titles and annotations, and exporting reports to PDF or Word for distribution.
assembly
VBA
18
Power Query for CAE data transformation
combining multiple result files, unpivoting load-case tables, and creating repeatable ETL steps for simulation data.
CAE
transformation
19
Power Pivot and data models for large CAE datasets
building relationships between geometry, material, and result tables, and using DAX measures for aggregated metrics.
CAE
datasets
20
Dashboard design for engineering decision-making
KPI selection, layout principles, slicers and timelines, and interactive filtering for design space exploration.
Dashboard
decision-making
21
Error handling and robustness in automated reports
validating inputs, trapping VBA errors, logging execution, and ensuring report integrity across data updates.
handling
robustness
22
Version control and documentation for Excel-based CAE workflows
managing template versions, documenting macros, and creating user guides for team adoption.
documentation
Excel-based
23
Case study
fatigue life data analysis and reporting—importing stress-life results, computing damage accumulation, and generating summary reports.
analysis
reporting
24
Case study
thermal simulation results—processing temperature distributions, computing gradients, and automating comparison across cooling designs.
simulation
processing
25
Case study
modal analysis and frequency response—extracting natural frequencies, mode shapes, and automating Campbell diagram generation.
analysis
frequency
26
Case study
CFD post-processing—analyzing pressure and velocity fields, computing integrated quantities, and building automated performance reports.
CFD
post-processing
27
Case study
optimization study reporting—collecting DOE results, computing objective and constraint values, and generating trade-off charts automatically.
optimization
reporting
28
Integrating Excel with CAE tools
exporting data from solvers, using Excel as a post-processor, and linking with Python or MATLAB for advanced automation.
Integrating
CAE
29
Performance optimization for large CAE datasets
reducing formula overhead, using Power Query and data models, and minimizing workbook size for efficient reporting.
Performance
optimization
30
Capstone project
end-to-end automated reporting workflow—from raw CAE output to a polished, refreshable Excel report with dashboards and documented VBA macros.
Capstone
end-to-end
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