3-axis computer numerical control machine positioning error dataset for thermal error compensation

Area of Science:

• Manufacturing Engineering
• Metrology
• Control Systems

Background:

• Thermal errors significantly impact precision in computer numerical control (CNC) machining.
• Accurate compensation strategies require detailed, high-resolution error data under monitored conditions.
• Existing datasets may not fully capture the dynamic thermal behaviors of individual machine axes.

Purpose of the Study:

• To present a comprehensive dataset of positioning errors for a 3-axis milling center machine (MCM).
• To provide data specifically for the development and validation of thermal error compensation algorithms.
• To facilitate research into enhancing CNC machining precision through data-driven approaches.

Main Methods:

• Systematic measurement of positioning errors for X, Y, and Z axes using an interferometric laser (IL) system.
• Simultaneous monitoring of thermal conditions using resistance temperature detectors (RTD) in bearing housings.
• Recording of raw positional data, error data, and relevant metadata (temperature, heating cycle, operating conditions).

Main Results:

• A structured dataset detailing dynamic positioning errors and associated thermal parameters for each axis.
• Data captures variations influenced by thermal fluctuations during MCM operation.
• Metadata provides context for analyzing error sources and machine behavior.

Conclusions:

• The dataset is a valuable resource for researchers developing real-time thermal error compensation algorithms.
• It enables the enhancement of CNC machining precision for individual axes and the machine as a whole.
• The structured format supports comparative studies and advancements in manufacturing technology and process optimization.