Automated Laser Ablation of Inhomogeneous Metal Oxide Films to Manufacture Uniform Surface Temperature Profile Electrical Heating Elements
Abstract
:1. Introduction
2. Methodology
2.1. Metal Oxide Film Composition
2.2. Model of Thermal Profile Uniformization of Electrical Heating Panels through Targeted Current Density Increase
2.3. Resistance Measurement through the Four-Probe Method
2.4. Laser Ablation of Metals and Oxides
3. Film Processing Method
3.1. Laser Ablation Analysis
3.2. The Laser Ablation System with Integrated Infrared Imagery
3.3. Control Processes to Increase the Uniformity of the Surface Profile
4. Results
4.1. Control Strategy Comparisons through Thermal Imagery
4.2. Control Process Metrics
5. Conclusions
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Element | Ni | Cr | Fe | Si | Cu | Mn |
---|---|---|---|---|---|---|
wt% | Bal. | 14.9 | 8.6 | 0.55 | 0.3 | 0.13 |
Material | Resistivity (n·m) |
---|---|
Metallic nickel | 69.3 |
Metallic iron | 96.1 |
Metallic chromium | 125.1 |
Nickel oxide | 548.1 |
Ablation Method | Summary |
---|---|
Abrasion Baseline | The abrasion method is carried out by the analysis of the thermal profile of the element and abrading with an abrasive medium of the coolest regions of the element temperature profile. |
20% Threshold (20%) | All regions at temperatures lower than the 20th percentile of the temperature distribution were ablated at the optimized output of the pulsed laser beam in a raster pattern. |
50% Threshold (50%) | All regions at temperatures lower than the 50th percentile of the temperature distribution were ablated at the optimized output of the pulsed laser beam in a raster pattern. |
Greyscale (GS) | The element is ablated in a raster pattern with the coldest areas receiving more treatment than hotter areas through altering the duty cycle of the pulsed beam; areas at the highest temperature regions receive 0% of the power output, the coldest region receiving 100% with a linear scale between. |
Greyscale-Threshold (GT) | The Greyscale algorithm is used to find the levels of treatment in the areas between a threshold value (set at the hottest 20th percentile) and the lowest temperature. |
GT + Memory (GM) | The GT method was used, but previous treatments (n − 1) considered to reduce the intensity of subsequent treatments (n) by up to 10% of the output of the previous treatment. |
Metric | 20% Threshold | 50% Threshold | Greyscale | Greyscale Threshold | GT with Memory |
Abbreviation | 20% | 50% | GS | GT | GM |
% Standard Deviation Improvement | 62.1 | −25.1 | 57.4 | 65.8 | 71.2 |
% Standard Deviation Improvement/Cycle | 15.5 | −6.3 | 7.1 | 11.1 | 11.9 |
Optimized Profile Kurtosis | 2.71 | 2.08 | 3.57 | 3.37 | 2.71 |
Time/Cycle (mins) | 1.5 | 2.0 | 3.0 | 3.0 | 3.0 |
Average Number of Cycles | 4 | 8 | 4 | 6 | 6 |
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Ingham, J.; Lewis, J.; Cheneler, D. Automated Laser Ablation of Inhomogeneous Metal Oxide Films to Manufacture Uniform Surface Temperature Profile Electrical Heating Elements. J. Manuf. Mater. Process. 2019, 3, 65. https://doi.org/10.3390/jmmp3030065
Ingham J, Lewis J, Cheneler D. Automated Laser Ablation of Inhomogeneous Metal Oxide Films to Manufacture Uniform Surface Temperature Profile Electrical Heating Elements. Journal of Manufacturing and Materials Processing. 2019; 3(3):65. https://doi.org/10.3390/jmmp3030065
Chicago/Turabian StyleIngham, Joshua, John Lewis, and David Cheneler. 2019. "Automated Laser Ablation of Inhomogeneous Metal Oxide Films to Manufacture Uniform Surface Temperature Profile Electrical Heating Elements" Journal of Manufacturing and Materials Processing 3, no. 3: 65. https://doi.org/10.3390/jmmp3030065