Special Issue on Optical In-Process Measurement Systems
Source abstract
Abstract
Optical principles enable precise measurements, down to the quantum mechanical limits, and provide the fastest possible measurement speed: the speed of light [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Advanced Measurement and Metrology Techniques · Surface Roughness and Optical Measurements · Analytical Chemistry and Sensors
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Bremen Institute for Metrology, Automation and Quality Science, University of Bremen, Linzer Str. 13, 28357 Bremen, Germany
References (11)
Show source-provided references
1. Bergmann, R.B., Kalms, M., and Falldorf, C. (2021). Optical In-Process Measurement: Concepts for Precise, Fast and Robust Optical Metrology for Complex Measurement Situations. Appl. Sci., 11.10.3390/app112210533 ↗
2. Shin, D.W., Quan, L., Shimizu, Y., Matsukuma, H., Cai, Y., Manske, E., and Gao, W. (2021). In-Situ Evaluation of the Pitch of a Reflective-Type Scale Grating by Using a Mode-Locked Femtosecond Laser. Appl. Sci., 11.10.3390/app11178028 ↗
3. Barcelata-Pinzón, A., Álvarez-Tamayo, R.I., and Prieto-Cortés, P. (2021). A Real-Time Automated System for Dual-Aperture Common-Path Interferometer Phase-Shifting. Appl. Sci., 11.10.3390/app11167438 ↗
4. Serbes, H., Gollor, P., Hagemeier, S., and Lehmann, P. (2021). Mirau-Based CSI with Oscillating Reference Mirror for Vibration Compensation in In-Process Applications. Appl. Sci., 11.10.3390/app11209642 ↗
5. Zechel, F., Jasovski, J., and Schmitt, R.H. (2021). Dynamic, Adaptive Inline Process Monitoring for Laser Material Processing by Means of Low Coherence Interferometry. Appl. Sci., 11.10.3390/app11167556 ↗
6. Hartung, J., Jahn, A., Bocksrocker, O., and Heizmann, M. (2021). Camera-Based In-Process Quality Measurement of Hairpin Welding. Appl. Sci., 11.10.3390/app112110375 ↗
7. Tausendfreund, A., Stöbener, D., and Fischer, A. (2021). In-Process Measurement of Three-Dimensional Deformations Based on Speckle Photography. Appl. Sci., 11.10.20944/preprints202105.0121.v1 ↗
8. Espinazo, A., Lombraña, J.I., Asua, E., Pereda-Ayo, B., Alonso, M.L., Alonso, R.M., Cayero, L., Izcara, J., and Izagirre, J. (2022). Diffusional Behavior of New Insulating Gas Mixtures as Alternatives to the SF6-Use in Medium Voltage Switchgear. Appl. Sci., 12.10.3390/app12031436 ↗
9. Khokhlov, S., Abiev, Z., and Makkoev, V. (2022). The Choice of Optical Flame Detectors for Automatic Explosion Containment Systems Based on the Results of Explosion Radiation Analysis of Methane- and Dust-Air Mixtures. Appl. Sci., 12.10.3390/app12031515 ↗
10. Wilhelm, P., Eggert, M., Hornig, J., and Oertel, S. (2021). High Spatial and Temporal Resolution Bistatic Wind Lidar. Appl. Sci., 11.10.20944/preprints202107.0396.v1 ↗
11. Parrey, A.-M., Gleichauf, D., Sorg, M., and Fischer, A. (2021). Automated Detection of Premature Flow Transitions on Wind Turbine Blades Using Model-Based Algorithms. Appl. Sci., 11.10.3390/app11188700 ↗