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Temperature measurement is one of the most important aspects of manufacturing. There have been many temperature measuring techniques applied for obtaining workpiece temperature in different types of manufacturing processes. The main limitations of conventional sensors have been the inability to indicate the core temperature of workpieces and the low accuracy that may result due to the harsh nature of some manufacturing environments. The speed of sound is dependent on the temperature of the material through which it passes. This relationship can be used to obtain the temperature of the material provided that the speed of sound can be reliably obtained. This paper investigates the feasibility of creating a cost-effective solution suitable for precision applications that require the ability to resolve a better than 0.5 °C change in temperature with ±1 °C accuracy. To achieve these, simulations were performed in MATLAB using the k-wave toolbox to determine the most effective method. Based upon the simulation results, experiments were conducted using ultrasonic phase-shift method on a steel sample (type EN24T). The results show that the method gives reliable and repeatable readings. Based on the results from this paper, the same setup will be used in future work in the machining environment to determine the effect of the harsh environment on the phase-shift ultrasonic thermometry, in order to create a novel technique for in-process temperature measurement in subtractive manufacturing processes.
|Journal||Journal of Manufacturing and Materials Processing|
|Publication status||Published - 4 Sep 2019|
|Event||13th International Conference and Exhibition on Laser Metrology, Machine Tool, CMM and Robotic Performance - Advanced Manufacturing Research Centre (AMRC), Sheffield, United Kingdom|
Duration: 13 Mar 2019 → 14 Mar 2019
Conference number: 13
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- Department of Engineering and Technology - Senior Lecturer
- School of Computing and Engineering
- Centre for Precision Technologies - Member
- Centre for Thermofluids, Energy Systems and High-Performance Computing - Associate Member
- 1 Active
Future Advanced Metrology Hub
Jiang, J., Martin, H., Longstaff, A., Kadirkamanathan, V., Turner, M. S., Keogh, P., Scott, P., McLeay, T. E., Blunt, L., Zeng, W., Huntley, J. M., Bills, P., Fletcher, S., Gao, F., Coupland, J. M., Kinnell, P., Mahfouf, M. & Mullineux, G.
1/10/16 → 30/09/23