Simulator Library
V&V, Quality and Reliability Simulators
Verification, validation, quality, reliability, uncertainty, and measurement simulators.
17 simulators
Adjacent categories
Simulator list
Acceptance Sampling Plan Simulator
Design a single-sampling acceptance plan that decides a lot's fate from a sample alone.
Bathtub Curve Simulator
Visualise the bathtub curve, the classic model of how a product's failure rate changes over its operating life. Adjust the infant-mortality, random and wear-out componen…
Control Chart (X-bar·R·p·c) SPC Calculator
Automatically compute SPC control limits (UCL/LCL) with Western Electric rules and Cp/Cpk analysis for X-bar, R, p, and c charts. Paste your data.
Fault Tree Analysis & Cut Set Calculator
Build fault trees with AND/OR gates and calculate minimal cut sets, top event probability, and Birnbaum/FV importance measures in real time. Safety analysis support tool…
FMEA Risk Priority Number (RPN) Calculator
Calculate RPN (S×O×D) for FMEA risk analysis. AIAG 5th edition compliant tool for Pareto charts, risk matrices, and evaluating countermeasure effectiveness.
Grid Convergence Index (GCI) Simulator
Quantify "how fine is fine enough?" for your CFD or FEM mesh. Enter the solutions on a fine, medium and coarse mesh and the tool reports the ASME V&V 20 / Roache observe…
ISO Fit Tolerance Selector
For the ISO 286 hole-basis system, pick the basic size and tolerance class (such as H7/g6) and see the hole and shaft limit deviations, maximum and minimum clearance, an…
Mesh Convergence / Richardson Extrapolation / GCI Calculator
Perform mesh convergence studies, Richardson extrapolation, and Grid Convergence Index (GCI) calculations. Enter solutions from three mesh levels to estimate numerical d…
Mesh Independence Study Simulator
Run a full 5-level mesh independence study in your browser.
Method of Manufactured Solutions (MMS) Simulator
Verify a CFD/FEM code's discretization with the Method of Manufactured Solutions. Pick a smooth analytical solution, back out the source term, refine the grid four times…
MTBF & Availability Simulator
Evaluate how dependable a repairable system is. Adjust the operating hours, failure count and repair time to see MTBF (mean time between failures), availability, mission…
Process Capability Indices Cp/Cpk · Histogram Visualization
Calculate Cp, Cpk, Pp, Ppk & visualize process capability. Input data or µ/σ to instantly compute defect rates, PPM, and sigma levels against specification limits.
Reliability Block Diagram · System Reliability Calculator
Calculate system reliability in real-time for series, parallel, k-out-of-n, and bridge configurations with formulas and visual importance graphs.
Six Sigma DMAIC Toolkit
Master Six Sigma DMAIC: All five phases, tools like DPMO, Pareto, Fishbone, DOE & SPC control charts in one integrated toolkit.
Statistical Process Control Simulator — Control Charts & Cp/Cpk
Generate random sample data to display X-bar control chart, R-chart, and process capability histogram across three tabs. Automatically calculate Cp/Cpk process capabilit…
Tolerance Stackup Analysis (RSS, Worst-Case, Monte Carlo)
Analyze assembly gaps using Worst-Case, RSS, and Monte Carlo tolerance stackup methods. Compare formulas, assumptions, and results for robust design.
Weibull Analysis & Reliability Life Estimation
Estimate Weibull parameters (β, η) from failure data. Compute B10 life, MTTF, reliability, and hazard rate in real time with our online analysis tool.
How to Use
- Select your product category from the dropdown (mechanical components, electronics, software modules, or structural assemblies)
- Input design specifications: material properties, tolerance stack-up, operating environment (temperature range, vibration, humidity), and production volume
- Define V&V acceptance criteria: defect rate threshold, reliability target (MTBF hours), and confidence level (typically 90% or 95%)
- Run uncertainty quantification to map parameter variations against failure modes
- Review validation matrix output showing test cases required versus actual test coverage
Worked Example
For an automotive bearing assembly: input bore diameter tolerance ±0.05mm, radial load 5kN, operating speed 3000 rpm, ambient temperature -10°C to +80°C. Simulator calculates fatigue life using Hertzian contact stress (L10 = 15,000 hours at 90% reliability). If production defect rate is 0.3%, the simulator generates 47 test scenarios across 6 failure modes (spalling, fretting, cage wear, misalignment). V&V plan flags that 12 thermal cycling tests and 5 endurance runs at 4500 rpm provide 94% coverage of design space. Validation gap analysis shows missing 3 edge-case combinations requiring additional 40-hour test protocol.
Practical Notes
- Cat-filter parameter isolates domain-specific failure databases: use "mechanical" for bearing life calculations, "thermal" for IC package reliability, "structural" for fatigue crack propagation in welds
- Tolerance stack-up with 6-sigma assumptions typically reduces margin by 2–4% compared to worst-case stacking; tune confidence intervals to match your supply chain capability
- Include production process variability (±1.5σ typical for machined parts, ±3σ for injection molded plastics) in Monte Carlo simulations to avoid optimistic reliability claims
- Validation matrix output directly feeds test scheduling; prioritize high-sensitivity parameters identified by Sobol indices to maximize fault detection per test dollar spent