https://github.com/kmoraza/grinding_spindle_design_simulation_software

Desktop-Software zur Simulation des optimalen Designs und der Leistung von Schleifspindeln unter verschiedenen Betriebsbedingungen und Konfigurationen (Desktop software to simulate optimal design and performance of grinding spindle under various operating conditions and configurations)
https://github.com/kmoraza/grinding_spindle_design_simulation_software

engineerin engineering-mechanics grinding-spindle grinding-spindle-design grinding-spindle-performance mathematics mechanical-engineering optimization physics

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Desktop-Software zur Simulation des optimalen Designs und der Leistung von Schleifspindeln unter verschiedenen Betriebsbedingungen und Konfigurationen (Desktop software to simulate optimal design and performance of grinding spindle under various operating conditions and configurations)

• Host: GitHub
• URL: https://github.com/kmoraza/grinding_spindle_design_simulation_software
• Owner: KMORaza
• Created: 2025-05-09T20:37:47.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-05-09T21:00:08.000Z (about 1 year ago)
• Last Synced: 2025-05-09T21:35:14.170Z (about 1 year ago)
• Topics: engineerin, engineering-mechanics, grinding-spindle, grinding-spindle-design, grinding-spindle-performance, mathematics, mechanical-engineering, optimization, physics
• Language: Java
• Homepage:
• Size: 0 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### Software zur Simulation des Schleifspindeldesigns (Grinding Spindle Design Simulation Software)

* Simulates spindle performance across scenarios (High-Speed, High-Torque, Balanced) and time-based simulations.

* Generates dynamic load profiles with sinusoidal variation and random spikes to simulate real-world conditions.

* Uses a k-Nearest Neighbors (k-NN) algorithm with historical data to predict maintenance needs.

* Provides comprehensive reports with scenario summaries and recommendations (e.g., switch to liquid cooling if temperature is high).

* Generates a maintenance schedule based on bearing type, lubrication type, and operating hours.

* Includes tasks like bearing inspection, lubrication maintenance, vibration monitoring, alignment checks, and general maintenance.

* Shows performance metrics (vibration, temperature, power, load, bearing life, spindle life, wheel wear) as color-coded bars (green for acceptable, red for exceeding thresholds).

* Covers a wide range of spindle performance aspects (power, thermal, vibration, fatigue, wear) with realistic calculations.

* The k-NN-based maintenance prediction adds predictive maintenance capabilities, enhancing practical utility.

![](https://github.com/KMORaza/Grinding_Spindle_Design_Simulation_Software/blob/main/Source%20Code/src/code/grindlespindledesign/simulation/screenshot.png)