Arthur Eufrasio

At Manufacturing Technology Institute, I developed a Python application with a Tkinter interface to automate the extraction and analysis of cutting signals from raw TDMS files. I also managed the project repository on GitHub.

I implemented signal-processing methods with SciPy and NumPy, including low-pass filtering and drift and offset corrections. I added interactive Matplotlib visualizations for selecting intervals and exporting average cutting forces to CSV.

For a machining simulation project, I simulated turning to evaluate tool cutting temperatures, cutting forces, and the machined part’s surface integrity. I implemented a two-stage approach with a different numerical method at each stage that significantly reduced computational cost.

At Laboratório de Metrologia (UFSC), I worked on residual-stress measurement and simulation, including hole-drilling experiments and operating a three-axis CNC milling machine for ring-core measurements. On PROSHOCK and LINSERT, I applied the ISO 16859 standard, developed a neural network, and modeled and automated Laser Shock Peening simulations using Abaqus and Python.