🚀 Exploring CNC Vibrations with Accelerometers, Arduino, and Python! 🚀

In this video, we dive into the world of CNC machines and vibrations using a budget-friendly accelerometer, Arduino, and Python. We're taking static tests with no cutting involved, focusing on the vibrations of a 2.2 kW spindle, and bringing the data to life on the computer.

🔍 What You'll Learn:

How to read and analyze vibration data from a CNC spindle.
Visualization techniques to graph and interpret spindle RPM ranges.
Insights into what RPM ranges are optimal and which might cause resonance issues.
A walkthrough of the Python code and setup for this experiment.

🔧 Setup Details:

Accelerometer: MPU6050 (3-axis)
Microcontroller: Arduino
Data Analysis: Python
Software: LinuxCNC

💡 Highlights:

Static tests with incremental RPM steps from 4,000 to 24,000.
Handling and debugging data collection challenges.
Improving data accuracy with sensor adjustments.
Final data analysis and visualization insights.

🎥 Watch as I:

Attach and calibrate the accelerometer.
Collect and analyze raw vibration data.
Adjust experimental settings to improve results.
Share the code and techniques to replicate this experiment yourself!

📈 Stay tuned for:

A look at the final data and insights.
Code and setup details on GitHub for your own experiments.

If you’re into CNC machines, data analysis, or just enjoy seeing how DIY tech projects come together, this video is for you!

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Download all code here: https://github.com/bhowiebkr/vibratio...

Topics covered:

- Using an accelerometer to analyze CNC vibrations
- Setting up Arduino and Python for data collection
- Static tests for vibration analysis
- Data visualization techniques

Timestamps:

0:00 Intro
0:45 Initial testing
5:50 Final Run
18:06 Analyzing the data
25:07 Code breakdown

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#CNC #DIY #Accelerometer #VibrationAnalysis #BryanHoward