Mechanicalpublic

STL to NASTRAN/Abaqus Mesh Converter

by Priya Sharma·April 22, 2026·2 files

About this project

Command-line tool for converting STL surface meshes to volumetric FEA meshes compatible with NASTRAN (.bdf) and Abaqus (.inp) formats. Tetrahedral meshing with quality metrics.

#meshing#fea#python#nastran#cli

Files

2 Files

Sign in to view this file

Viewing files on ForgeHub is free. Sign in or create an account to open the interactive viewer and download files.

Sign in to view

Comments

Sign in to comment.
Loading comments...

Related Projects

Underwater ROV with Real-Time Sonar SLAM

A tethered underwater robot that builds a real-time 3D map of its environment using sound waves instead of GPS or cameras.

Mechanical11 codes, 6 files
T

Tyler Montgomery

Jun 25, 2026

Self-Balancing Cube with Reaction Wheels

A small cube that balances on a single corner by spinning internal reaction wheels to generate counter-torque against gravity in real time.

Mechanical52 files, 20 CADs
S

Sarah Williams

Jun 25, 2026

Apple WWDC Price Prediction Options Project

AAPL WWDC 2026 — Event-Day Volatility Arbitrage A quantitative options strategy built around Apple's annual WWDC keynote (June 8, 2026). The core idea is implied vs realised volatility arbitrage — options markets have historically overpriced AAPL's expected 1-day move on keynote day, creating a structural edge for volatility sellers. By collecting 11 years of WWDC event-day returns (2015–2025), comparing them against the ATM straddle implied move, and backtesting a short straddle strategy, we quantify that edge and size it using the Kelly Criterion. Quant concepts used: implied volatility, realised volatility, volatility risk premium, ATM straddle pricing (call + put ÷ spot), 1-day IV derivation (annual IV ÷ √252), Shapiro-Wilk normality testing, skewness and kurtosis analysis, Kelly Criterion position sizing (½ Kelly for safety), short straddle and iron condor payoff mechanics, Sharpe ratio, and max drawdown. Libraries: yfinance (data), pandas + numpy (analysis), scipy.stats (distribution testing), matplotlib + matplotlib.animation (static and animated charts), pillow + ffmpeg (GIF and MP4 export).

Other1 file
Quant Kavin

Quant Kavin

Jun 7, 2026