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    Corrosion detection in pipes by piezoelectric sensors using Artificial Neural Network

    , Article Advanced Materials Research, 4 November 2011 through 6 November 2011 ; Volume 403-408 , November , 2012 , Pages 748-752 ; 10226680 (ISSN) ; 9783037853122 (ISBN) Rafezi, H ; Rahmani, B ; Sharif University of Technology
    2012
    Abstract
    Defect detection in pipes is an essential task specially for sensitive applications such as oil and gas industry where special cares are required. Corrosion is a common defect in pipes which has attracted attention of researchers. In present work a non-destructive methodology for pipe corrosion monitoring is introduced. Polymer of Vinylidene Fluoride (PVDF) Piezoelectric is used as the sensor to measure strain variations affected by internal corrosion. High sensitivity and low cost of piezoelectric materials made them a good candidate for precise industrial applications. Different corrosion conditions (i.e. corrosion location along pipe and corrosion depth) are modeled and sensors voltages... 

    Approximating the distribution of flaws in magnetic materials using the generalized inverse

    , Article 2011 IEEE International Conference on Imaging Systems and Techniques, IST 2011 - Proceedings, 17 May 2011 through 18 May 2011, Batu Ferringhi ; May , 2011 , Pages 137-141 ; 9781612848969 (ISBN) Ravanbod, H ; Abdollahi Jahdi, S ; Norouzi, E ; Sharif University of Technology
    2011
    Abstract
    Non-destructive identification of voids in ferromagnetic materials is of great importance for industrial applications. Magnetic flux leakage technique is used here to examine the defected structure. To this end, an inverse problem should be solved in order to infer the location and depth of internal flaws from the measured leaked magnetic signals. Currently generalized inverse method and singular value decomposition are used for solving such inverse problem. Considering the cracks separation has significant effect on the absolute value of magnetic flux leakage signals, we study different distributions of cracks. In this paper, the magnetic dipole model is proposed to reconstruct the extent... 

    Failure analysis of holding yokes made of investment cast 17-4 PH stainless steel

    , Article Engineering Failure Analysis ; Volume 18, Issue 4 , 2011 , Pages 1242-1246 ; 13506307 (ISSN) Etemadi, A. R ; Behjati, P ; Emami, A ; Motiei, S. M. A. D ; Mirsaeedi, S ; Sharif University of Technology
    2011
    Abstract
    Holding yokes made of investment cast 17-4PH stainless steel were too soft (below 20. HRC). Optical microscopy of the parts showed that there is a high fraction of retained austenite after oil quench due to high amount of molybdenum found in parts as an impurity. Subzero treatment in liquid nitrogen after solution heat treating was used to convert retained austenite to martensite but parts became too brittle and fractured during post-heat treating machining. Double and triple aging at 538 °C (1000 °F) after subzero cooling was done on parts. Detailed fractography and tensile testing along with optical microscopy (OM) investigation proved that repeated aging at 538 °C (1000 °F) led to lower... 

    Use of polymer fibres recovered from waste car timing belts in high performance concrete

    , Article Construction and Building Materials ; Volume 80 , April , 2015 , Pages 31-37 ; 09500618 (ISSN) Khaloo, A. R ; Esrafili, A ; Kalani, M ; Mobini, M. H ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    The present paper discusses the possibility of adding recycled polymer fibres to high performance concrete (HPC). Fibres used in this study were recovered from discarded car timing belts. To investigate different characteristics of the concrete specimens several destructive and non-destructive tests, such as compressive strength, modulus of rupture, flexural toughness, ultrasonic velocity and electrical resistance tests were carried out. In addition, slump flow tests were conducted on the fresh concrete. Experimental results from the study showed that the use of low percentages (up to 0.5%) of waste fibres improved the modulus of rupture and flexural toughness. Based on ultrasonic and... 

    An efficient finite-element approach for the modeling of planar double-D excitation coils and flaws in SQUID NDE systems

    , Article IEEE Transactions on Applied Superconductivity ; Volume 20, Issue 2 , 2010 , Pages 76-81 ; 10518223 (ISSN) Sarreshtedari, F ; Pourhashemi, A ; Asad, N ; Schubert, J ; Banzet, M ; Fardmanesh, M ; Sharif University of Technology
    2010
    Abstract
    Incorporating an efficient approach for the finite-element simulation of eddy current superconductive quantum interface device (SQUID) nondestructive evaluation (NDE) systems, an appropriate finite-element method (FEM) has been presented for simulating and analyzing such systems. We have introduced a new model for the planar double-D coils, which are used as the excitation source in eddy current SQUID NDE systems, and also another model for the description of the flaw effect on the induced current. We have also examined our simulation results with their associated measurements. Our system is based on a high-TC YBCO gradiometer RF-SQUID sensor with a flux noise level below 100 μΦ0 √Hz at 100... 

    A novel method for modeling the magnetizing yoke

    , Article Electromagnetics ; Volume 30, Issue 3 , 2010 , Pages 297-308 ; 02726343 (ISSN) Ravanbod, H ; Norouzi, E
    2010
    Abstract
    Magnetic flux leakage is the most widely used method for oil and gas pipeline non destructive testing. The saturation level of the sample under test has a significant effect on its efficiency; therefore, the magnetizing yoke requires an elaborate design. The finite element method is the conventional approach used for this purpose, but it is very time consuming. In this article, a neuro-fuzzy method is presented to model the behavior of the magnetizing yoke. Modeling a few different designs with the finite element method and using the results for training the neuro-fuzzy model eradicates the necessity of modeling a huge number of designs with the finite element method. The acquired... 

    Numerical optimization and manufacturing of the impeller of a centrifugal compressor by variation of splitter blades

    , Article ASME Turbo Expo 2016, Turbomachinery Technical Conference and Exposition, 13 June 2016 through 17 June 2016 ; Volume 8 , 2016 ; 9780791849866 (ISBN) Moussavi Torshizi, S. A ; Hajilouy Benisi, A ; Durali, M ; International Gas Turbine Institute ; Sharif University of Technology
    American Society of Mechanical Engineers (ASME) 
    Abstract
    Design and optimization of centrifugal compressors, based on main blades configuration of impeller have been vastly discussed in open literature, but less researches have addressed splitters. In this research, the impeller of a commercial turbocharger compressor is investigated. Here, profiles of main blades are not changed while the effect of changing the configuration of splitters is studied. An optimization study is performed to find the best configuration using genetic algorithm over a complete operating curve of the compressor. CFD codes with experimental support are used to predict the compressor performance. Quantumetric tests beside destructive analysis of two impellers are... 

    Comparison of various anodization and annealing conditions of titanium dioxide nanotubular film on MB degradation

    , Article EPJ Applied Physics ; Volume 47, Issue 1 , 2009 ; 12860042 (ISSN) Mohammadpour, R ; Iraji Zad, A ; Ahadian, M. M ; Taghavinia, N ; Dolati, A ; Sharif University of Technology
    2009
    Abstract
    In this study the influence of morphology of vertically oriented titanium oxide nanotube arrays (TNTAs) on their photocatalytic activities was investigated. To obtain nanotubes with different morphologies, they were prepared at different anodization voltages. The size of TNTAs were measured using SEM images and also determined based on a non-destructive optical method; We demonstrate how the tubular geometry of the TNTAs can be used to adjust the optical and also the wetting properties of them and how these properties affect the performance of the nanostructure in further applications as a photocatalyst. To investigate their potentials for environmental applications, the photocatalytic... 

    Assessment of plain and glass fiber-reinforced concrete under impact loading: a new approach via ultrasound evaluation

    , Article Journal of Nondestructive Evaluation ; Volume 38, Issue 4 , 2019 ; 01959298 (ISSN) Soleimanian, E ; Toufigh, V ; Sharif University of Technology
    Springer  2019
    Abstract
    Impact loading leads to micro-crack formation that can compromise the performance of the concrete. The purpose of this paper is to evaluate plain concrete and fiber-reinforced concrete specimens using ultrasound methods under impact loading. These specimens were prepared and subjected to impact loading. Ultrasound tests were performed at different stages of impact loading on each specimen. The loading continued until cracks on the surface of the specimens were observed. Investigations were performed for both plain concrete and fiber-reinforced concrete to establish a correlation between ultrasound response characteristics, and the damage caused by impact loading due to the energy of blows... 

    Electromagnetic attenuation factor based nde approach for depth detection of hidden defects using HTS rf-SQUID

    , Article 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 360-363 ; 9781728115085 (ISBN) Rostami, B ; Shanehsazzadeh, F ; Fardmanesh, M ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    Abstract
    We present a new approach for non-destructive evaluation (NDE) in homogeneous and isotropic metallic objects which contain defects at unknown depths based on single scan and multi frequency excitation. As known, there is an optimum frequency for each depth of defect. Finding the depth of an unknown defect requires us to find the optimal frequency. In conventional single frequency methods, the optimal frequency is obtained by applying a wide range of frequencies to the system separately and comparing the corresponding results in a time-consuming process. Conventional multi frequency inspections were introduced to obtain more information about test specimens. There are two ways to apply... 

    Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints

    , Article Journal of Manufacturing Processes ; Volume 52 , 2020 , Pages 26-34 Amiri, N ; Farrahi, G. H ; Kashyzadeh, K. R ; Chizari, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Ultrasonic Testing (UT) is one of the well-known Non-Destructive Techniques (NDT) of spot-weld inspection in the advanced industries, especially in automotive industry. However, the relationship between the UT results and strength of the spot-welded joints subjected to various loading conditions is unknown. The main purpose of this research is to present an integrated search system as a new approach for assessment of tensile strength and fatigue behavior of the spot-welded joints. To this end, Resistance Spot Weld (RSW) specimens of three-sheets were made of different types of low carbon steel. Afterward, the ultrasonic tests were carried out and the pulse-echo data of each sample were... 

    Estimation of water coverage ratio in low temperature PEM-fuel cell using deep neural network

    , Article IEEE Sensors Journal ; Volume 20, Issue 18 , May , 2020 , Pages 10679-10686 Mehnatkesh, H ; Alasty, A ; Boroushaki, M ; Khodsiani, M. H ; Hasheminasab, M. R ; Kermani, M. J ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Proton exchange membrane fuel cell (PEMFC) is a rich source of renewable energy. A non-destructive prediction method is needed to determine the content of water in the PEMFC. In the gas channel of a transparent PEMFC, water is detected with image processing. This method has a high computational cost and is sensitive to the initial position of the camera and ambient lighting. In this paper, the deep neural network (DNN) has been trained to learn the transparent PEMFC's labeled images as a way to determine the content of water, limit human interference and employed in a real-time process. This DNN model is a virtual sensor for measuring the water coverage ratio. To produce the label of images,... 

    Response of a novel beam-to-column connection to monotonic and cyclic flexural loading

    , Article Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 9 June 2008 through 13 June 2008, Berlin ; Volume 2 , 2008 , Pages 599-608 ; 9780791848197 (ISBN) Khonsari, S. V ; England, G. L ; Shahsavar Gargari, M ; Parvinnia, M. H ; Sharif University of Technology
    2008
    Abstract
    A new beam-to-column joint with high rotational as well as shear deformation capacity was devised. This high rotational 'capacity' is required to fulfill the great 'demand' for rotation arising during earthquakes, severe waves and current loads, etc. Due to its ability to contain damage during an overload, it leaves the connected elements intact. This, together with its replaceability can reduce the cost of post-event repair substantially. Its bending as well as shear performance under "monotonie" loading had already been assessed experimentally (OMAE'02-28864, OMAE'03-37292, OMAE'04-51494 & OMAE'05-6736l) and proved well superior to that of conventional joints. In order to study its... 

    Nondestructive nitrogen content estimation in tomato plant leaves by Vis-NIR hyperspectral imaging and regression data models

    , Article Applied Optics ; Volume 60, Issue 30 , 2021 , Pages 9560-9569 ; 1559128X (ISSN) Pourdarbani, R ; Sabzi, S ; Rohban, M. H ; García Mateos, G ; Arribas, J. I ; Sharif University of Technology
    The Optical Society  2021
    Abstract
    The present study aims to estimate nitrogen (N) content in tomato (Solanum lycopersicum L.) plant leaves using optimal hyperspectral imaging data by means of computational intelligence [artificial neural networks and the differential evolution algorithm (ANN-DE), partial least squares regression (PLSR), and convolutional neural network (CNN) regression] to detect potential plant stress to nutrients at early stages. First, pots containing control and treated tomato plants were prepared; three treatments (categories or classes) consisted in the application of an overdose of 30%, 60%, and 90% nitrogen fertilizer, called N-30%, N-60%, N-90%, respectively. Tomato plant leaves were then randomly... 

    Convolutional neural networks for estimating the ripening state of fuji apples using visible and near-infrared spectroscopy

    , Article Food and Bioprocess Technology ; Volume 15, Issue 10 , 2022 , Pages 2226-2236 ; 19355130 (ISSN) Benmouna, B ; García Mateos, G ; Sabzi, S ; Fernandez Beltran, R ; Parras-Burgos, D ; Molina Martínez, J. M ; Sharif University of Technology
    Springer  2022
    Abstract
    The quality of fresh apple fruits is a major concern for consumers and manufacturers. Classification of these fruits according to their ripening stage is one of the most decisive factors in determining their quality. In this regard, the aim of this work is to develop a new method for non-destructive classification of the ripening state of Fuji apples using hyperspectral information in the visible and near-infrared (Vis/NIR) regions. Spectra of 172 apple samples in the range from 450 to 1000 nm were studied, which were selected from four different ripening stages. A convolutional neural network (CNN) model was proposed to perform the classification of the samples. The proposed method was... 

    An innovative inverse analysis based on the Bayesian inference for concrete material

    , Article Ultrasonics ; Volume 124 , 2022 ; 0041624X (ISSN) Nouri, A ; Toufigh, V ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Nondestructive tests and evaluations are robust techniques for inspecting different attributes of concrete configuration. However, most nondestructive techniques focused on an aspect of concrete configuration based on comparison to other samples. In this paper, an innovative inverse analysis technique was developed to inspect different attributes of concrete configuration simultaneously. The methodology was based on the scattering feature of the ultrasonic waves during propagation in heterogeneous media. The transition matrix method was employed to determine the scattered wavefield. This method considers the shape of objects, unlike most other numerical methods. Furthermore, a novel... 

    Analytical model for the extraction of flaw-induced current interactions for SQUID NDE

    , Article IEEE Transactions on Applied Superconductivity ; Volume 21, Issue 4 , 2011 , Pages 3442-3446 ; 10518223 (ISSN) Sarreshtedari, F ; Hosseini, M ; Razmkhah, S ; Mehrany, K ; Kokabi, H ; Schubert, J ; Banzet, M ; Krause, H. J ; Fardmanesh, M ; Sharif University of Technology
    Abstract
    Incorporating an analytical approach to simulate the interaction of a series of long cracks and the induced current of a double-D excitation coil, we have developed a model-based method to do precise detection of the positions of the cracks in a metallic structure by using eddy-current superconducting quantum interference device (SQUID) nondestructive evaluation (NDE) measurements. Conventionally, the structure of the defects is found by iteratively solving a numerical forward problem, which is usually based on finite-element, boundary-element, or volume-integral method. This, however, incurs a heavy numerical burden, as every time the forward problem is to be solved, a rigorous numerical... 

    The effects of stabilizers on the thermal and the mechanical properties of rammed earth at various humidities and their environmental impacts

    , Article Construction and Building Materials ; Volume 200 , 2019 , Pages 616-629 ; 09500618 (ISSN) Toufigh, V ; Kianfar, E ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    The overall behavior of rammed earth (RE) as a low embodied energy construction method can be enhanced by using stabilizers. Several studies have been performed on cement and lime stabilized RE. However, studies on other additives, especially the sustainable ones, are limited. In this research, the effect of stabilizers including cement, pozzolan, microsilica, fiberglass, guar gum and phase change material (PCM) was evaluated on the performance of RE mixtures. The mixtures were assessed by considering the durability, shrinkage, thermal conductivity, mechanical properties and their sensitivity to the humidity. Then, the correlations were determined between the mechanical properties and the...