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Achievements - Stage IV
Adaptive control strategies for milling process optimization
For technical details, please see:
 IMS 2010 Paper (PDF)
Adaptive Milling Toolpaths with Tool Engagement Angle control
Adaptive control architecture for EMCO F1 CNC milling machine
Proposed hardware architecture contains the following components:
- PC workstation
- 8-bit microcontroller: ATMega64
- Spindle current sensor: CUIINC SCD05PUR, range ±5A, with galvanic isolation
- Torque sensor for spindle: INTERFACE TS19 - Wheatstone bridge, range 0-100 Nm, with 0-15 mV output at 10V DC power supply
- Signal amplifier: Burr-Brown INA125P (gain factor: 100)
- Rotation sensor for main spindle: quadrature incremental encoder, CUIINIC MAG30
- Digital variable resistor, Microchip MCP41050
- Power circuits for actuating stepper motors (from the existing EMCO F1 CNC controller)
Softare components are divided in two categories:
- Software which runs on the PC
- Graphical user interface
- G-Code interpreter for RS274/NGC
- Software which runs on the microcontroller
- G-Code command interpreter
- ACC adaptive control algorithm
- Pulse generator for X/Y/Z stepper motors
- Feedback control loop for main spindle
Technical documentation for stage IV
Delivered results
- Scientific research report
- Testing and experiments report
- Technical study
- Research report about adaptive CNC machining
- Patent application submitted to Romanian State Office for Inventions and Trademarks (OSIM)
Title (translated): Method, Apparatus and Software Solution for Complete and Exact 3D Digital Description of Complex Surfaces by Robot Scanning and Milling Toolpath Generation from Depth Map Representations
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