otaf : Open Tolerance Analysis Framework
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Updated
Sep 11, 2026 - Python
otaf : Open Tolerance Analysis Framework
OptiForge (光匠) — AI-native optical design & lens engineering platform over the Zemax/OpticStudio ZOS-API. MCP server: 5-stage design workflow, executable quality gates, aberration & tolerance analysis, CAD/ISO 10110 deliverables.
Sistem multi-agent cu neuron fracționar pentru optimizarea toleranțelor dimensionale. Python, Streamlit
Offline tolerance stack-up analysis for mechanical engineers — visual canvas, RSS/Monte Carlo, ISO 286 auto-fill, Tauri desktop app for macOS and Windows
Google Sheets / Apps Script tool for mechanical tolerance stack-up analysis using Worst Case, RSS and statistical methods.
Toltech : 3D tolerance analysis application for complex mechanical assemblies using kinematic and isostatic modeling.
Aircraft engine bracket · structural FEA · topology optimisation (~22% mass reduction) · GD&T (ASME Y14.5-2018) · tolerance stack-up · Teamcenter PLM
Henrik Thorwaldsson – Mechanical Design Engineer focused on mechanical design, tolerance analysis and engineering automation.
Redesigned Prusa MK4S 3D printer parts for CNC, injection moulding, casting and sheet metal, then inspected the fabricated parts against tolerances and planned a 21 station assembly line
Tolerance Stack-Up Analysis Tool
はめあい・ねじの公差と許容膜厚を計算する品質管理のための Web ツール
Fits and tolerance calculators for mechanical design. ISO 286 fits, tolerance stack-ups, MMC bonus tolerance, and process capability, with plain-language results.
公差積み上げをワーストケース・RSS・モンテカルロで計算する品質管理のための Web ツール
Open-source analog-AI circuit research twin with differential conductance encoding, managed ngspice, tolerance analysis, and reproducible evidence.
Simple Monte-Carlo library for tolerance analysis in engineering applications
Tolerance analysis pipeline for a precision optical sensor fixture, using worst-case/RSS analysis, seeded Monte Carlo simulation, sensitivity analysis, Cp/Cpk capability, DOE, and intervention studies.
Desktop app for 1D mechanical tolerance stack-up analysis
Tolerance stack-up and process capability analysis with worst-case, RSS and Monte Carlo simulation.
Using the Python programming language, this analysis tested seven hypotheses across three phases: whether AI, BCT, and BDA relate to, individually predict, and jointly predict the perceived effectiveness of Forensic Fraud Investigation (FFI). Pearson correlation, simple and multiple linear regressions were used, with OLS assumption checks reported.
Exact offline allocation of finite shim stock with worst-case tolerance proof
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