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Fluorescence-Based Measurement of Workpiece Geometry and Temperature in Laser Chemical Machining
Claudia Niehaves1, Andreas Tausendfreund1, Yasmine Bouraoui2
1Bremen Institute for Metrology, Automation and Quality Science, University of Bremen, Linzer Str. 13, 28359 Bremen, Germany.
This study presents a new fluorescence-based method for in-situ monitoring of laser chemical machining (LCM). The approach measures workpiece geometry and process fluid temperature, crucial for quality control in this gentle metal removal technique.
Area of Science:
- Manufacturing Engineering
- Materials Science
- Optical Metrology
Background:
- Laser chemical machining (LCM) is a precise metal removal technique requiring controlled conditions.
- Current limitations in understanding LCM mechanisms hinder optimization of removal rate and quality.
- A need exists for in-situ monitoring of workpiece geometry and process parameters for quality control.
Purpose of the Study:
- To develop and validate a near-process measurement approach for laser chemical machining.
- To simultaneously assess machined workpiece geometry and process fluid temperature in-situ.
- To establish a foundation for future real-time quality control in LCM.
Main Methods:
- A fluorescence-based optical measurement technique was employed.
- In-situ measurement of 3D geometry of LCM-produced structures was performed.
- In-situ temperature measurement of the electrolyte solution was conducted.
Main Results:
- The developed approach demonstrated robustness in measuring 3D geometry, even with optical obstructions like air bubbles.
- Systematic measurement errors (edge artifacts) were identified in geometry measurements, necessitating signal model refinement.
- Precise temperature measurements of the electrolyte were achieved with low random (<1°C) and systematic (<1.4°C) errors.
Conclusions:
- The fluorescence-based method shows promise for in-situ monitoring in LCM.
- The technique can simultaneously measure geometry and temperature, supporting process control.
- Further refinement of the signal model is required to address observed geometric measurement errors.
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