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    Transition in interfacial failure mechanism of resistance spot welds during tensile–shear loading: role of fusion zone hardness

    , Article Metals ; Volume 13, Issue 6 , 2023 ; 20754701 (ISSN) Nadimi, N ; Pouranvari, M ; Sharif University of Technology
    MDPI  2023
    Abstract
    The failure of resistance spot welds through the fusion zone along the sheet/sheet interface (i.e., interfacial failure) is critical for automotive crashworthiness. This paper investigates the effect of fusion zone hardness on the interfacial failure behavior of resistance spot welds during the tensile–shear test. AISI 1040 medium carbon steel, producing a high level of hardness mismatch during resistance spot welding, was selected as the base metal. By ex situ tempering heat treatment, various levels of fusion zone hardness are achieved in the welds with constant fusion zone size. It is shown that the interfacial failure of the spot welds is a competition between ductile shear failure and... 

    Failure of Automotive Steels Resistance Spot Welds under Mode I

    , M.Sc. Thesis Sharif University of Technology Nadimi, Nima (Author) ; Pouranvari, Majid (Supervisor)
    Abstract
    Automotive steels are dominant material for the manufacturing of automotive structures and components. Since an automotive body is mostly assembled by spot welding, spot weld failure in different loading conditions has a great influence on the crashworthiness of vehicle. Therefore, investigation of microstructure and failure behavior of resistance spot welded automotive steels is an important issue. The first part of the research is dedicated to microstructural evolution and fusion zone hardness of spot welded automotive steels based on optical and SEM micrographs and hardness measurements. In the FZ of automotive steels, except for austenitic steels, a mainly martensitic microstructure was... 

    Resistance spot welding of quenching and partitioning (Q&P) third-generation advanced high-strength steel: process–microstructure–performance

    , Article Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science ; Volume 54, Issue 2 , 2023 , Pages 577-589 ; 10735623 (ISSN) Nadimi, N ; Yadegari, R ; Pouranvari, M ; Sharif University of Technology
    Springer  2023
    Abstract
    This paper investigates process–microstructure–performance relationships in Q&P980 third-generation advanced high-strength steel (AHSS) resistance spot welds. The hardening and softening phenomena during welding are discussed in terms of weldment microstructure. The fusion zone (FZ) microstructure was mainly lath martensite with an average hardness of 500 HV due to the high cooling rate resulting from resistance spot welding. No significant softening was observed in the sub-critical heat-affected zone which was related mainly to the presence of the low volume fraction of fresh martensite in the initial microstructure of the base metal. The factors controlling the tensile–shear peak load,... 

    Optimizing a Flowshop Model with the Objective of Minimizing Total Weighted Tardiness while Considering due Dates on All Machines

    , M.Sc. Thesis Sharif University of Technology Nadimi, Fattane (Author) ; Ghassemi Tari, Farhad (Supervisor)
    Abstract
    Minimizing completion time of tasks in a flowshops has always attracted attention of researchers since it was introduced by Johnson, 1954. If all jobs are processed in the same order, the sequence is called a permutation sequence. Tardiness factor is one of important factors in permutation flowshop sequencing problem. Minimizing this factor brings about increase in service level of the shop and is helpful in meeting customer’s needs. Since, minimizing tardiness in PFSP in among NP-hard problems, computational efforts in this area has focused on heuristic approaches. However, the researches has always considered due dates only on the last machine. It means, always it has been assumed that due... 

    Understanding fusion zone hardness in resistance spot welds for advanced high strength steels: strengthening mechanisms and data-driven modeling

    , Article Journal of Materials Research and Technology ; Volume 26 , 2023 , Pages 5549-5565 ; 22387854 (ISSN) Nadimi, N ; Pouranvari, M ; Ansari, R ; Pouranvari, M ; Sharif University of Technology
    Elsevier Editora Ltda  2023
    Abstract
    The fusion zone (FZ) hardness of resistance spot welds is a crucial factor affecting the performance and durability of the welds. Failure mode transition, tendency to fail in interfacial mode, interfacial failure load, and the impact of liquid metal embrittlement cracks on the weld strength are influenced by the FZ hardness. Therefore, accurately predicting the FZ hardness in resistance spot welds made on automotive steels is essential. A simple thermal model is used to calculate the time required for the temperature to drop from 800 °C to 500 °C (Δt[Formula presented]). With the aid of continuous cooling transformation (CCT) diagrams and experimental confirmation, it is shown that in most... 

    Interpretation of Hyperspectral Images Using Integrated Gradients to Detect Bruising in Lemons

    , Article Horticulturae ; Volume 9, Issue 7 , 2023 ; 23117524 (ISSN) Pourdarbani, R ; Sabzi, S ; Nadimi, M ; Paliwal, J ; Sharif University of Technology
    Multidisciplinary Digital Publishing Institute (MDPI)  2023
    Abstract
    Lemons are a popular citrus fruit known for their medicinal and nutritional properties. However, fresh lemons are vulnerable to mechanical damage during transportation, with bruising being a common issue. Bruising reduces the fruit’s shelf life and increases the risk of bacterial and fungal contamination, leading to economic losses. Furthermore, discoloration typically occurs after 24 h, so it is crucial to detect bruised fruits promptly. This paper proposes a novel method for detecting bruising in lemons using hyperspectral imaging and integrated gradients. A dataset of hyperspectral images was captured in the wavelength range of 400–1100 nm for lemons that were sound and artificially... 

    Deep learning for caries detection: A systematic review

    , Article Journal of Dentistry ; Volume 122 , 2022 ; 03005712 (ISSN) Mohammad Rahimi, H ; Motamedian, S. R ; Rohban, M. H ; Krois, J ; Uribe, S. E ; Mahmoudinia, E ; Rokhshad, R ; Nadimi, M ; Schwendicke, F ; Sharif University of Technology
    Elsevier Ltd  2022
    Abstract
    Objectives: Detecting caries lesions is challenging for dentists, and deep learning models may help practitioners to increase accuracy and reliability. We aimed to systematically review deep learning studies on caries detection. Data: We selected diagnostic accuracy studies that used deep learning models on dental imagery (including radiographs, photographs, optical coherence tomography images, near-infrared light transillumination images). The latest version of the quality assessment tool for diagnostic accuracy studies (QUADAS-2) tool was used for risk of bias assessment. Meta-analysis was not performed due to heterogeneity in the studies methods and their performance measurements.... 

    Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study

    , Article Korean Journal of Orthodontics ; Volume 52, Issue 2 , 2022 , Pages 112-122 ; 22347518 (ISSN) Mohammad Rahimi, H ; Motamadian, S. R ; Nadimi, M ; Hassanzadeh Samani, S ; Minabi, M. A. S ; Mahmoudinia, E ; Lee, V. Y ; Rohban, M. H ; Sharif University of Technology
    Korean Association of Orthodontists  2022
    Abstract
    Objective: This study aimed to present and evaluate a new deep learning model for determining cervical vertebral maturation (CVM) degree and growth spurts by analyzing lateral cephalometric radiographs. Methods: The study sample included 890 cephalograms. The images were classified into six cervical stages independently by two orthodontists. The images were also categorized into three degrees on the basis of the growth spurt: pre-pubertal, growth spurt, and post-pubertal. Subsequently, the samples were fed to a transfer learning model implemented using the Python programming language and PyTorch library. In the last step, the test set of cephalograms was randomly coded and provided to two... 

    Recent activities in science and technology and the progress of women in physics in the last three years in Iran

    , Article AIP Conference Proceedings, Stellenbosch ; Volume 1517 , 2013 , Pages 108-109 ; 0094243X (ISSN); 9780735411388 (ISBN) Izadi, D ; Azad, M. T ; Mahmoudi, N ; Izadipanah, N ; Eshghi, N ; Sharif University of Technology
    2013
    Abstract
    For the 4th IUPAP International Conference of Women in Physics, we report on activities in science and engineering in Iran, and conditions for women in physics, in the three years since the 3rd IUPAP International Conference of Women in Physics was held in 2008. Iran has made prominent advancements and astonishing progress in laser technology, biotechnology, nanotechnology, genetics, computer software and hardware, and robotics. Iranian scientists have been very productive in several experimental fields, such as pharmaceutical, organic, and polymer chemistry. Conditions for women in physics have improved greatly in recent years. A project to improve the environment for learning physics, and... 

    Lead-free MAGeI3 as a suitable alternative for MAPbI3 in nanostructured perovskite solar cells: a simulation study

    , Article Environmental Science and Pollution Research ; Volume 30, Issue 19 , 2023 , Pages 57032-57040 ; 09441344 (ISSN) Mehrabian, M ; Akhavan, O ; Rabiee, N ; Afshar, E. N ; Zare, E. N ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2023
    Abstract
    The lead is a heavy metal with hazardous impacts on environment and human life. Lead-free perovskite solar cells have attracted much attention in recent years, due to eco-friendly characteristics. Meanwhile, Pb-containing cells showed the highest efficiencies among the various types of cells. Hence, designing novel Pb-free solar cells with comparable or better performance than the Pb-containing ones is highly required. In this work, a lead-free methyl-ammonium-germanium-iodide (MAGeI3)-based perovskite solar cell with ITO/TiO2/MAGeI3/Spiro-OMeTAD/Ag multilayer nanostructure has been proposed and its main characteristics including open-circuit voltage (VOC) and power conversion efficiency (η)... 

    Ab initio study of electronic effects in the ZnO/TiO2 core/shell interface: Application in dye sensitized solar cells

    , Article RSC Advances ; Vol. 4, issue. 1 , April , 2014 , p. 301-307 Pazoki, M ; Nafari, N ; Taghavinia, N ; Sharif University of Technology
    2014
    Abstract
    Core/shell structure of ZnO nanowires coated with a monolayer of TiO 2 is investigated using Density Functional Theory (DFT). The electronic states of the semiconductor is calculated and compared before and after coating of the TiO2 monolayer on a ZnO [101 0] surface. The effect of TiO2 coating induce surface states changes and shifts the conduction and valence band edges to higher energies. Our results, in qualitative agreement with the experimental work of Matt Law et al. (J. Phys. Chem. B, 110, 22652), show an increase in open circuit voltage and a decrease in short circuit current in ZnO/TiO2 core shell dye sensitized solar cells. Regarding the semiconductor density of states (DOS), TiO2... 

    Analyzing factors effective on the development of relationship commitment

    , Article Proceedings of the 2012 International Conference on Artificial Intelligence, ICAI 2012, 16 July 2012 through 19 July 2012 ; Volume 1 , July , 2012 , Pages 398-404 ; 1601322186 (ISBN) ; 9781601322180 (ISBN) Dehdashti, Y ; Lotfi, N ; Karami, N ; Sharif University of Technology
    2012
    Abstract
    Due to the important role of commitment and trust in the relationship marketing, the factors which can directly result in a committed relationship along with the factors which can influence the commitment through influencing trust, according to the model of commitment and trust by (Morgan & Hunt, 1994) have been introduced and their level of importance has been investigated here. The article uses fuzzy cognitive maps (FCMs) in the proposed model to find the most important paths leading to relationship commitment. The FCM analyzes the responses of a group of 30 people including general practitioners in dentistry, managers of dental departments in some of the public clinics and hospitals who... 

    Morphological dependence of light backscattering from metallic back reflector films: Application in dye-sensitized solar cells

    , Article Physica Status Solidi (A) Applications and Materials Science ; Volume 212, Issue 4 , January , 2015 , Pages 785-790 ; 18626300 (ISSN) Sharifi, N ; Ghazyani, N ; Taghavinia, N ; Sharif University of Technology
    Wiley-VCH Verlag  2015
    Abstract
    Conventionally, a film of TiO2 particles of 300 nm size is employed in Dye-sensitized solar cells (DSCs) as the back reflector film to enhance the light harvesting. Perfect reflectance of silver in visible and near infrared motivates to investigate its potential as the material for the light back reflector film in DSCs. In this study, light back reflector films consisting of 300 nm-sized silver particles, as well as vacuum evaporated silver flat film, were fabricated and compared to 300 nm-sized rutile-type TiO2 particulate reflector film to study their optical aspects. Conventional TiO2 rutile-type particulate film demonstrates slightly lower performance... 

    Monolithic dye sensitized solar cell with metal foil counter electrode

    , Article Organic Electronics ; Volume 57 , June , 2018 , Pages 194-200 ; 15661199 (ISSN) Behrouznejad, F ; Taghavinia, N ; Ghazyani, N ; Sharif University of Technology
    Elsevier B.V  2018
    Abstract
    Monolithic dye-sensitized solar cells are conventionally fabricated using carbon composite layer as the counter electrode. In the current research, the brittle carbon composite layer is replaced with a metal foil, aiming to decrease the device series resistance and using less catalyst material in counter electrode. This metallic structure has also an advantage of mechanical strength and decreases the fabrication complexity. The counter electrode is prepared by electrodepositing Cr film followed by electrodepositing Pt nanoparticles on a metal foil. As the porous spacer layer, different composite layers of SiO2, TiO2, and Al2O3 are investigated and the best results are obtained for TiO2... 

    A compact versatile microbial fuel cell from paper

    , Article ASME 2013 11th Int. Conf. on Fuel Cell Science, Eng. and Technology Collocated with the ASME 2013 Heat Transfer Summer Conf. and the ASME 2013 7th Int. Conf. on Energy Sustainability, FUELCELL 2013 ; 2013 ; 9780791855522 (ISBN) Wagner, L. T ; Hashemi, N ; Hashemi, N ; Sharif University of Technology
    2013
    Abstract
    Microbial fuel cells (MFCs) have been a potential green energy source for a long time but one of the problems is that either the technology must be used on a large scale or special equipment have been necessary to keep the fuel cells running such as syringe pumps. Paper-based microbial fuel cells do not need to have a syringe pump to run and can run entirely by themselves when placed in contact with the fluids that are necessary for it to run. Paper-based microbial fuel cells are also more compact than traditional MFCs since the device doesn't need any external equipment to run. The goal of this paper is to develop a microbial fuel cell that does not require a syringe pump to function. This... 

    Decentralized model predictive voltage control of islanded DC microgrids

    , Article 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, 4 February 2020 through 6 February 2020 ; 2020 Abbasi, M ; Mahdian Dehkordi, N ; Sadati, N ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    This paper proposes a novel decentralized control approach for islanded direct-current (DC) microgrids (MGs) based on model predictive control (MPC) to regulate the distributed generation unit (DGU) output voltages, i.e. the voltages of the point of common coupling (PCC). A local controller is designed for each DGU, in the presence of uncertainties, disturbances, and unmodeled dynamics. First, a discrete-time state-space model of an MG is derived. Afterward, an MPC algorithm is designed to perform the PCC voltage control. The proposed MPC scheme ensures that the PCC voltages remain within an acceptable range. Several simulation studies have been conducted to illustrate the effectiveness of... 

    Intelligent optimal feed-back torque control of a 6DOF surgical rotary robot

    , Article 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, 4 February 2020 through 6 February 2020 ; 2020 Tajdari, F ; Ebrahimi Toulkani, N ; Zhilakzadeh, N ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Sophisticated surgeons are widely indicating the use of surgical robots in order to reject human error, increase precision, and speed. Among well-known robotic mechanisms, parallel robots are broadly more investigated regarding their special characters as higher acceleration, speed, and accuracy, and less weight. Specific surgical procedures confine, and restrict their workspace, while controlling and validating the robots are complicated regarding to their complex dynamic. To this end, in this paper, a 6-DOF robot, with rotary manipulators, is designed and controlled. Addressing nonlinearity of parallel robots, an innovative methodology is formulated to robustly penalize the error of... 

    Semi-Real evaluation, and adaptive control of a 6DOF surgical robot

    , Article 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020, 4 February 2020 through 6 February 2020 ; 2020 Tajdari, F ; Ebrahimi Toulkani, N ; Zhilakzadeh, N ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Sophisticated surgeons are widely indicating the use of surgical robots in order to reject human error, increase precision, and speed. Among well-known robotic mechanisms, parallel robots are broadly more investigated regarding their special characters as higher acceleration, speed, and accuracy, and less weight. Specific surgical procedures confine and restrict their workspace, while controlling and validating the robots are complicated based on their complex dynamic. To this end, in this paper, a 6-DOF robot, with linear manipulators, is designed and controlled. Addressing the inherent nonlinearity of the robot mechanism, an adaptive PID manipulator is employed and validated with nonlinear... 

    Modeling superconductive fault current limiter using constructive neural networks

    , Article 2007 IEEE International Symposium on Industrial Electronics, ISIE 2007, Caixanova - Vigo, 4 June 2007 through 7 June 2007 ; 2007 , Pages 2859-2863 ; 1424407559 (ISBN); 9781424407552 (ISBN) Makki, B ; Sadati, N ; Hosseini, M. N ; Sharif University of Technology
    2007
    Abstract
    Although so many advances have been proposed in the field of artificial intelligence and superconductivity, there are few reports on their combination. On the other hand, because of the nonlinear and multivariable characteristics of the superconductive elements and capabilities of neural networks in this field, it seems useful to apply the neural networks to model and control the superconductive phenomena or devices. In this paper, a new constructive neural network (CNN) trained by two different optimization algorithms; back-propagation and genetic algorithm, is proposed which models the behavior of the superconductive fault current limiters (SFCLs). Simulation results show that the proposed... 

    Satellite attitude tracking using optimal neuro-controller

    , Article 2003 IEEE Aerospace Conference, Big Sky, MT, 8 March 2003 through 15 March 2003 ; Volume 6 , 2003 , Pages 2663-2669 ; 1095323X (ISSN); 078037651X (ISBN); 9780780376519 (ISBN) Meghdari, A ; Sadati, N ; Tehrani, N. D ; Sharif University of Technology
    2003
    Abstract
    In this paper, a new control strategy for optimal attitude tracking control of a multivariable satellite system has been presented. The approach is based on a Multilayer Perceptron Neural Network (MLPNN) and a classical PD Controller for its initial stabilization. It is shown how the network can be employed as a multivariable self-organizing and self-learning controller in conjunction with a PD controller for attitude control of a satellite. By using three thrusters and quaternion for kinematics representation, the attitude dynamics of the satellite has been presented. In contrast to the previous classical approaches, it is shown how this controller can be carried out in an on-line manner...