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Optical metrology

High-speed, roll to roll coherence scanning interferometry in a laser texturing process

Optical metrology
研发工程经理,光学工程博士,光子学硕士 at Sensofar Metrology | Other articles

Carlos 自 2010 年起开始在 Sensofar 参与开发共聚焦、干涉测量和多焦面叠加技术,自 2018 年起担任研发工程经理一职。他的研究领域是光机系统设计和图像处理。
他在光学工程方面的综合研究工作帮助 Sensofar 研发团队在创新和最高技术水平方面始终保持领先地位。

High-speed, roll to roll coherence scanning interferometry in a laser texturing process, publication
Carlos Bermudez1, Pol Martinez1, Cristina Cadevall1, Roger Artigas1
Sensofar-Tech, S.L., (Spain)
June 2019
Euspen 19th International Conference (Bilbao), SHARK – Surface Texturing and Functionalization

Abstract

Surface engineering is a crucial technology in many industry sectors. It consists of adding functionality to a surface by coating or texturing it. Currently, coating technologies are mature and well established, but coatings suffer from limited durability and poor sustainability. Laser surface texturing is nowadays emerging due to the latest improvements in high resolution, excellent repeatability and keeping the process non-contact. However, associated costs with the laser texturing system and low throughput are still to improve. In such a process, quality assurance is mandatory. A surface characterization procedure needs to take part of the full process without impacting the cycle time. These premises can be attained using a non-contact, optical 3D profiler integrated with the laser texturing machine. We have developed a miniaturized optical sensor head that integrates Coherence Scanning Interferometry (CSI) as the measuring technique with interchangeable optics, allowing to adapt the lateral resolution to the laser texturing process. Interferometric measurements are carried out using dual-wavelength illumination, granting measurements from 25 µm/s with 1 nm of system noise to more than 200 µm/s with less than 100 nm of system noise. Reduced dimensions of the sensor head make possible to integrate it inside the laser texturing machine without interfering with the laser texturing process, even parallelizing both texturing and measurement. Together with feedback analysis and finite element modelling, a closed-loop manufacturing scheme is achieved.

1. Introduction

As a form of surface engineering, laser functional texturing is a key enabling technology that is relevant to almost every industrial sector, with applications ranging from anti-icing, self-cleaning surfaces to wear reduction and biocompatibility enhancement. It can offer significant benefits to manufacturers, such as cost savings, improved product performance and faster product development. However, the process is viewed by many as complex and costly, which involve huge design of experiments to get the desired surface texture. To face such a challenge, a fast and accurate quality control (QC) stage, as in most high precision processes is a must. In advanced manufacturing, a perfect example would be Roll to Roll (R2R) techniques, where high throughput and low cost are required. According to Industry 4.0 trend, QC can be integrated into the manufacturing process giving feedback for close-loop manufacturing and establishing real-time knowledge for a data management system and modelling software. This is currently being pursued by the SHARK project, depicted in Fig. 1. SHARK (Laser surface engineering for new and enhanced functional performance with digitally enabled knowledge base) project will unlock the potential for laser texturing for the generation of functional surfaces by boosting the productivity, efficiency and flexibility of the process. The rest of the paper is organized as follows: in section 2, the methodology is described. Section 3 shows the results on real measurements implementing the explored method whereas section 4 presents the conclusions.

high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_1
Figure 1. Close-loop manufacturing scheme being pursued in the SHARK project

2. Method

The chosen technology that enables non-contact, high accuracy and high speed measurement is Coherence Scanning Interferometry (CSI) [1]. CSI features an extremely good vertical resolution (down to 1 nm). However, it requires a dense Z scan to extract the areal information. This is due to the short coherence length of the white light source, intended to maximize the measurement repeatability. To overcome this limitation, a light source with narrower bandwidth than white light has can be used to have a wider correlogram, and then increase the scanning speed but still getting enough measured data (Fig. 2). This allows the sensor to measure at higher speed (up to 9 times the original speed with the same frame rate).

This technology has been implemented into a Sensofar commercial 3D optical profiler using CSI and white light epi-illumination (Fig. 3). Green and white optical beams are mixed through a beam-splitter. The measurement light source is automatically enabled according to the selected speed factor. White LED for 1X and 3X, Green for 5X, 7X, and 9X. Speed ranges from 24 µm/s to 219 µm/s at 340 fps, VGA resolution.

high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_2
Figure 2. White and Green LED correlograms. In red, acquisition points for a single pixel, separated between them by λ/8 multiplied by the speed factor: 1X (top) and 9X (bottom)
high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_3
Figure 3. Dual LED arrangement: broadband (white) and monochromatic (green) light sources for high- accuracy and high-speed measurements: 3D cut model (left), prototype (right)

3. Results

According to the measurement speeds described in the former section (up to 219 µm/s), a 3D topography of a variety of typical samples usually measured with interferometry can be obtained in less than 2 seconds. An example of a laser texturing application obtained with such a method appears in Fig. 4.

high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_4
Figure 4. Laser textured friction disc (courtesy of MAN Energy Solutions). Lateral size of holes is in the order of 25 to 75 µm. Depths range from 10 to 40 µm. Obtained with a 50X Mirau 0.55 NA objective lens

The repeatability of the system with both light sources at typical speed (factor set to 1X) and maximum speed (9X) has been studied with the calibration specimen Areal Irregular (AIR) B40-P1F from the NPL. Its calibration values are depicted in Table 1. Measurement settings, instrument noise obtained according to the ISO method and statistical results of AIR B40-P1F specimen are presented in Table 2.

high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_table1
Table 1. NPL AIR B40 calibration values
high-speed-roll-to-roll-coherence-scanning-interferometry-in-a-laser-texturing-process_table2
Table 2. Measurement settings and results comparison for two different measuring speeds

The results depict a noise increase proportional to the speed rise, although it is still low to applications that demand speed rather than precision. Values have been obtained without vibration isolation, similar to a precision laser texturing environmental conditions. With proper vibration isolation, system noise can decrease down to 1 nm at 1X speed and below 100 nm at 9X speed.
In terms of accuracy, it can be calibrated as stated in ISO 25178 with an “Amplification Factor”. According to the results, accuracy varies implying that possibly every measuring speed must have a different amplification factor. We will study this effect in future work.

4. Conclusions

A custom made, fast interferometer has been built for measuring, with high speed, into a laser surface texturing, close-loop application. The sensor, by the use of Coherence Scanning Interferometry with white and green light sources, allows the system to measure up to 219 µm/s with 120 nm of system noise.
A repeatability test with a standard calibration specimen has been performed. Results point to calibrate each speed with a different calibration (amplification factor), which will be investigated in the future. The setup enables a roll to roll application to obtain a single measurement in less than 2 seconds, and use such data to quickly readapt process parameters or even re-texture the sample to meet the specifications.

Acknowledgements

This project has received funding from the European Union’s Horizon 2020 Framework Programme for research and innovation under grant agreement no 768701.

References

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