FYP1-1 Eportfolio Entry 1

Week 1-2:

Final year project (FYP) is a compulsory subject prepared for final year students to give opportunity to apply the knowledge gained to solve practical engineering problems. I have decided to pursue my FYP project in tomography sensor field, which is designing a wire mesh tomography system. The goals of my project is to be able to design a fully functioning wire mesh tomography system with complete hardware and software. The wire mesh tomography system should be able to reconstruct the cross-sectional image of a solid free multiphase flow. Besides, I also hope that I can have more knowledge on other tomography system, such as electric resistivity tomography system.

Week 3:

Figure 1 shows the general wire mesh tomography system. Wire-mesh sensors are imaging instruments for the analysis of gas-liquid and liquid-liquid multiphase flows. Wire-mesh sensors measure characteristic multiphase flow parameter by a grid of fine wire electrodes in the flow cross-section. The purpose of designing wire mesh sensor is because it is hard to manually identifying the process flow in process industry field. Hence, a tomography sensor is important to solve this problem. With wire mesh sensor, the condition of the process flow will be able to identify and monitored.

Figure 1 : Wire mesh tomography system

To ensure fewer risks and obstacles during the course of the project, I studied others research paper on tomography sensors, including wire mesh tomography system. This will help me to understand more on the working principle of existing  tomography systems.  Besides, this also able to help me to understand the challenges they faced during their research, so will be able to shorten the time take for my research.

There are a few major steps in the project plan. First is the electronics design. I need to designed a receiver and transmitter circuit and sensors with the lowest noise as possible for more accurate reading. Besides, I also need to ensure that the signal transmission and stable and consistent to avoid inaccurate measurements. Next, the algorithm for image reconstruction must be designed properly for better performance and outcome.

Week 4:

There are multiple research problems of interest for this project. First is the working principle of WMS. To design a WMS, we need to understand thoroughly the working principle of WMS. Besides, understanding working principle of other tomography principles also able to improve on my understandings on tomography field. Next, I will need to understand the algorithm of image reconstruction for tomography sensors. So, I will be able to design my own algorithm for this project and provide some improvements comparing existing algorithm. Lastly, I also need to understand in designing noiseless transmitter and receiver circuit for better performance. I did some literature reviews on others research paper for better understandings (file attached below).

Week 5:

I continue to do my research on image reconstruction algorithm for various tomography sensors for better understandings. In my research phase, I studied a few literature pieces which will help me directly and indirectly in my project. 

Resources:

1. Albanese, R. (1996). Electrical Impedance Tomography. In R. Albanese, Mathematics and Physics of Emerging Biomedical Imaging. Washington (DC): National Academies Press (US).
2. CHALMERS UNIVERSITY OF TECHNOLOGY. (2013, October 28). Microwave tomography for breast cancer detection. Retrieved from Chalmers: https://www.chalmers.se/en/projects/Pages/Microwave-tomography-for-breast-cancer.aspx
3. Choi, H. (2015). NDE Application of Ultrasonic Tomography to a Full-Scale Concrete Structure. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 1076-1085.
4. Eisenblätter, M., & Bremer, C. (2014). Optical Molecular Imaging. In A. Brahme, Comprehensive Biomedical Physics (pp. 345-362). Stockholm: Elsevier.
5. H.F.VelascoPeña. (2015). Applications ofwire-meshsensorsinmultiphase flows. Flow Measurement and Instrumentation.
6. Lozano-perez, S. (2010). Characterization techniques for assessing irradiated and ageing materials in nuclear power plant systems, structures and components (SSC). In S. Lozano-perez, Understanding and Mitigating Ageing in Nuclear Power Plants (pp. 889-914). United States: Woodhead Publishing.
7. M.D., Y. H., & Yamada, Y. (2016). Overview of diffuse optical tomography and its clinical applications. Journal of Biomedical Optics.
8. Mario, D. S. (2016, May 4). Horizontal air-water flow pattern recognition. Retrieved from Research Gate: https://www.researchgate.net/publication/271451538_Horizontal_air-water_flow_pattern_recognition/references
9. Merunka, I. (2019, March 31). Microwave Tomography System for Methodical Testing of Human Brain Stroke Detection Approaches. Retrieved from Hindawi: https://www.hindawi.com/journals/ijap/2019/4074862/
10. MITA, N. (2018). Principle of ultrasonic tomography for concrete structures and non-destructive inspection of concrete cover for reinforcement. Pacific Journal of Mathematics for Industry.
11. Nickson, C. (2020, November 2020). Electrical Impedance Tomography. Retrieved from Life in the Fastlane: https://litfl.com/electrical-impedance-tomography/
12. Q.Marashdeh. (2015). Electrical capacitance tomography. Industrial Tomography, 3-21.
13. Rahim, P. T. (2018). EMERGING RESEARCH ON PROCESS TOMOGRAPHY. Johor: Penerbit UTHM.
14. Rahiman, M. (2015). Initial Study of a Wire Mesh Tomography Sensor for Liquid/Gas. J Electr Eng Technol., 2205-2210.
15. Ren, S.-J. (2017). Tomographic Wire-Mesh Imaging of Water-Air Flow Based on Sparse. IEEE Sensors Journal.
16. Silva, M. J. (2015). Experimental Investigation of Horizontal Gas-Liquid Slug Flow by Means of. Journal of the Brazilian Society of Mechanical Sciences and Engineering.
17. TerraDat. (2020, October 20). TerraDat Geophysics. Retrieved from Electrical Resistivity Tomography (ERT): https://www.terradat.co.uk/survey-methods/resistivity-tomography/
18. Välisuo, P. (2015). Optical methods for assessing skin flap survival. In P. Välisuo, Biophotonics for Medical Applications (pp. 377-385). United States: Woodhead Publishing.
19. Villevieille, C. (2015). Electrochemical characterization of rechargeable lithium batteries. In C. Villevieille, Rechargeable Lithium Batteries (pp. 183-232). United States: Woodhead Publishing. Retrieved from Science Direct.
20. WANGJIRANIRAN, W. (2003). Intrusive Effect of Wire Mesh Tomography on Gasliquid. Journal of Nuclear Science and Technology, 932-940.
21. Werth, Inc. (2015). COMPUTER TOMOGRAPHY – PRINCIPLE OF X-RAY TOMOGRAPHY. Retrieved from Werth Inc: https://werthinc.com/computer-tomography-principle-x-ray-tomography/#:~:text=X%2Dray%20tomography%20uses%20the,the%20impinging%20radiation%20is%20absorbed.&text=An%20X%2Dray%20detector%20(sensor,a%20two%2Ddimensional%20radiographic%20image.
22. Zhou, B. (2018). Electrical Resistivity Tomography: A Subsurface-Imaging Technique. In A. I. Kanl?, Applied Geophysics with Case Studies on Environmental, Exploration and Engineering Geophysics. London: IntechOpen.