Identification of machine tool squareness errors via inertial measurements.

Area of Science:

• Mechanical Engineering
• Metrology
• Instrumentation

Background:

• Machine tool accuracy is crucial for manufacturing quality.
• Axis errors, particularly squareness deviations, significantly impact precision.
• Current measurement methods can be complex and time-consuming.

Purpose of the Study:

• To develop a novel methodology for quantifying squareness errors between linear axes in multi-axis machine tools.
• To enable direct measurement of squareness using inertial sensors, avoiding complex data processing.
• To support enhanced automation in machine tool metrology.

Main Methods:

• Utilizing circular inertial measurements, specifically accelerations from integrated sensors.
• Quantifying changes in squareness between two axes of linear motion.
• Directly processing measured acceleration data without double integration.

Main Results:

• The novel methodology successfully quantifies squareness deviations between machine tool axes.
• Identified squareness values were verified against traditional, established measurement techniques.
• Demonstrated the feasibility of using direct acceleration data for metrology.

Conclusions:

• The proposed method offers an accurate and efficient way to assess machine tool squareness.
• Direct utilization of inertial sensor data simplifies the measurement process.
• This approach facilitates the integration of sensors for automated, high-precision metrology in manufacturing.