Modares Mechanical Engineering

Modares Mechanical Engineering

Detection and Accurate Estimation of Geometrical Parameters of Defects on the Internal Surfaces of Pipes Using Inverse Heat Conduction Method

Authors
Facualty of Mechanical Engineering,University of Tehran
Abstract
Detection of defects in the internal surfaces of pipes due to the inherent feature of these surfaces which is inaccessibility is always a troublesome process. In this study, a novel method has been designed for detection of defect locations on the internal surfaces of pipes and accurate estimation of defect geometrical parameters such as length and average material loss depth. The way that this method works is that a band heater is located on the external surface of the pipe in inspection segment, and specified heat flux is applied to this surface for a short time, and the temperature of these sensors located on rear of the band heater is measured during and after of applying thermal heat flux. The local temperature rise on the section of the external surface of the pipe indicates a defect on its internal surface. In this case, a defect with unknown parameters is supposed on the internal surface of the pipe, and by using the inverse heat conduction method, an iterative numerical simulation procedure continues until the unknown geometrical parameters of defects are estimated in a way to minimize the difference between the measured and simulated temperature in the location of sensors.
Keywords

Subjects


[1] G. P. Guidetti, G. L. Rigosi, R. Marzola, The use of polypropylene in pipeline coatings, Progress in Organic Coatings, Vol. 27, No. 1, pp. 79-85, 1996.
[2] L. Yang, Techniques for corrosion monitoring, 1st Edition, pp. 293-310: Elsevier, 2008.
[3] S. R. D, H. Harald, M. Gaute, K. R. John, W. K. R, FSM-non‐intrusive monitoring of internal corrosion, erosion and cracking, Anti-Corrosion Methods and Materials, Vol. 42, No. 6, pp. 3-6, 1995.
[4] V. S. Agarwala, P. L. Reed, S. Ahmad, Corrosion Detection and Monitoring - A Review, in Corrosion 2000 Conference, Orlando, Florida, 2000.
[5] A. Groysman, Corrosion for everybody, 1st Edition, pp. 189-227: Springer Science & Business Media, 2009.
[6] R. Khamedi, E. Poursaeidi, M. Jabbari, An Investigation to Corrosion of Stainless Steels by Acoustic Emission Method, Modares Mechanical Engineering, Vol. 14, No. 2, pp. 195-200, 2014. (in Persion فارسی)
[7] P. T. Hsu, Y. H. Liu, S. G. Wang, C. o. K. Chen, An inverse approach for estimation of the surface heat flux distribution on a horizontal elliptical tube with laminar film condensation, Chemical Engineering Journal, Vol. 85, No. 2, pp. 189-195, 2002.
[8] C. H. Cheng, C. C. Cheng, S. K. Chou, Inverse geometry design problem in optimizing hull surfaces, Journal of ship research, Vol. 42, No. 2, pp. 79-85, 1998.
[9] W. L. Chen, Y. C. Yang, H. L. Lee, Three-Dimensional Pipe Fouling Layer Estimation by Using Conjugate Gradient Inverse Method, Numerical Heat Transfer, Part A: Applications, Vol. 55, No. 9, pp. 845-865, 2009.
[10] C. R. Su, C. K. Chen, Geometry estimation of the furnace inner wall by an inverse approach, International Journal of Heat and Mass Transfer, Vol. 50, No. 19, pp. 3767-3773, 2007.
[11] C. H. Cheng, M. H. Chang, Shape identification by inverse heat transfer method, Transactions-American Society of Mechanical Engineers Journal of Heat Transfer, Vol. 125, No. 2, pp. 224-231, 2003.
[12] G. Inglese, An inverse problem in corrosion detection, Inverse problems, Vol. 13, No. 4, pp. 977, 1997.
[13] J. Cheng, M. Choulli, X. Yang, An Iterative BEM for the Inverse Problem of Detecting Corrosion in a Pipe, Numerical Mathematics Theory Methods and Applications, 2005.
[14] M. Siavashi, F. Kowsary, E. Abbasi-Shavazi, Detection of flaws in a two-dimensional body through measurement of surface temperatures and use of conjugate gradient method, Computational Mechanics, Vol. 46, No. 4, pp. 597-607, 2010.
[15] D. Mukherjee, S. Saha, S. Mukhopadhyay, Inverse mapping of magnetic flux leakage signal for defect characterization, NDT & E International, Vol. 54, No. Supplement C, pp. 198-208, 2013.
[16] H. Vanaei, A. Eslami, A. Egbewande, A review on pipeline corrosion, in-line inspection (ILI), and corrosion growth rate models, International Journal of Pressure Vessels and Piping, Vol. 149, pp. 43-54, 2017.
[17] H. Yapıcı, B. Albayrak, Numerical solutions of conjugate heat transfer and thermal stresses in a circular pipe externally heated with non-uniform heat flux, Energy Conversion and Management, Vol. 45, No. 6, pp. 927-937, 2004.
[18] J. V. Beck, B. Blackwell, C. S. Clair Jr, Inverse heat conduction, 1st Edition, pp. 1-78: Wiley & Interscience, 1985.
[19] B. Popescu, Y. Scudeller, T. Brousse, B. Garnier, Thermal characterization of dielectric thin films using an improved genetic algorithm, Superlattices and Microstructures, Vol. 35, No. 3, pp. 239-252, 2004.
[20] M. N. Ozisik, Inverse heat transfer: fundamentals and applications, 1st Edition, pp. 35-114,New York: Taylor & Francis, 2000.
[21] F. Albouchi, M. Fetoui, F. Rigollet, M. Sassi, S. Ben Nasrallah, Optimal design and measurement of the effective thermal conductivity of a powder using a crenel heating excitation, International Journal of Thermal Sciences, Vol. 44, No. 11, pp. 1090-1097, 2005.
[22] A. Adili, C. Kerkeni, S. Ben Nasralla, Estimation of thermophysical properties of fouling using inverse problem and its impact on heat transfer efficiency, Solar Energy, Vol. 83, No. 9, pp. 1619-1628, 2009.
[23] Y. Jarny, M. N. Ozisik, J. P. Bardon, A general optimization method using adjoint equation for solving multidimensional inverse heat conduction, International Journal of Heat and Mass Transfer, Vol. 34, No. 11, pp. 2911-2919, 1991.