2009
DOI: 10.1080/10407780902864722
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Three-Dimensional Pipe Fouling Layer Estimation by Using Conjugate Gradient Inverse Method

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Cited by 15 publications
(5 citation statements)
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“…Use of this technique for the solution of 3-D boundary inverse heat conduction problems is well documented in the literature (e.g. [21,22,23,24,25]). The Alifanov Iterative Regularisation method is described in Section 1.4 in the context of this application.…”
Section: Inverse Solution Methodsmentioning
confidence: 99%
“…Use of this technique for the solution of 3-D boundary inverse heat conduction problems is well documented in the literature (e.g. [21,22,23,24,25]). The Alifanov Iterative Regularisation method is described in Section 1.4 in the context of this application.…”
Section: Inverse Solution Methodsmentioning
confidence: 99%
“…Among the different studies about inverse heat transfer approach in pipes we can find different geometrical schematization of the physical problem, i.e. 0D [18], 1D [17], 2D [14,15], 2D-axialsymmetric [19], 3D [16] and both stationary [15][16][17] and transient studies [14,18,19].…”
Section: Introductionmentioning
confidence: 99%
“…To date, several studies have attempted to develop traditional fouling removal and descaling methods, including chemical cleaning, mechanical descaling, and high-pressure water injection [8][9][10][11]. Although these descaling processes can be highly effective, they have severe limitations and disadvantages [12][13][14]. Chemical methods are costly, time-consuming, and highly detrimental to the environment [12,13].…”
Section: Introductionmentioning
confidence: 99%
“…Although these descaling processes can be highly effective, they have severe limitations and disadvantages [12][13][14]. Chemical methods are costly, time-consuming, and highly detrimental to the environment [12,13]. Mechanical descaling methods like pigging can seriously damage the pipeline and highpressure water injection like ushing is not suitable for pipes with a large diameter.…”
Section: Introductionmentioning
confidence: 99%