En
  • دکتری (1391)

    مهندسی هوا فضا - دینامیک پرواز و کنترل

    دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران

  • کارشناسی‌ارشد (1385)

    مهندسی هوا فضا - مکانیک پرواز

    دانشگاه صنعتی خواجه نصیرالدین طوسی، تهران، ایران

  • کارشناسی (1382)

    مهندسی مکانیک - طراحی جامدات

    دانشگاه صنعتی اصفهان، اصفهان، ایران

  • روبات های پرنده
  • مهندسی فضایی
  • بهینه سازی طراحی چند موضوعی
  • ازمایشگاه روبات پرنده

مسعود ابراهیمی مدرک کارشناسی خود را در مهندسی مکانیک گرایش طراحی جامدات از دانشگاه صنعتی اصفهان در سال 1382 و مدرک کارشناسی ارشد و دکتری خود را در مهندسی هوافضا از دانشگاه صنعتی خواجه نصیرالدین طوسی به ترتیب در سالهای 1385 و 1391 دریافت کرد. ایشان از سال 1391 در دانشگاه تربیت مدرس مشغول به کار شده و هم اکنون به عنوان دانشیار دانشکده مهندسی مکانیک دانشگاه تربیت مدرس در گروه هوافضا اشتغال به کار دارند. زمینه های تحقیقاتی مورد علاقه ایشان عبارتند از : 1- هدایت، کنترل و ناوبری وسایل پرنده روباتهای پرنده و ماهواره ها 2- ناوبری سماوی و الگوریتمهای بازشناسی الگوی ستارگان 3- طراحی بهینه چند موضوعی سامانه¬ها و زیرسامانه¬های هوافضایی ( ماهواره و ماهواره بر) 4- الگوریتمهای بهینه¬سازی

ارتباط

رزومه

Utilizing the uncertainty-based MADM-optimization approach to find robust-reliable design parameters for a platform-based product by considering aleatory uncertainties and …

A Saghari, A Kosari, U Sellgren, M Ebrahimi
Journal Papers , , {Pages }

Abstract

Closed-loop powered-coast-powered predictive guidance for spacecraft rendezvous with non-singular terminal sliding mode steering

Seyed Aliakbar Kasaeian, Masoud Ebrahimi, Nima Assadian
Journal PapersActa Astronautica , Volume 166 , 2020 January 1, {Pages 507-523 }

Abstract

The present study aims to present a guidance algorithm based on the relative motion prediction for orbital rendezvous, in which a coast phase is allowed between two powered phases. In both powered phases, the solution of the Hill-Clohessy-Wiltshire equations is used to find the required state variables at each time instant. To track the required trajectory and compensate for any orbital perturbations and uncertainties, a non-singular terminal sliding mode method is utilized as the steering law. Then, the finite time convergence of the state variables is mathematically proved. In addition, the starting time of the second powered phase is adapted to perturbations and uncertainties by another closed-loop algorithm during the coast phase. The p

Simultaneous filter tuning and calibration of the camera and inertial measurement unit camera for a vision inertial navigation system

Mohammadvali Arbabmir, Masoud Ebrahimi
Journal PapersIET Image Processing , Volume 14 , Issue 12, 2020 October 13, {Pages 2756-2767 }

Abstract

In this study, a novel approach based on multi-objective genetic algorithm (MO-GA) is used for simultaneous tuning the unscented Kalman Filter (UKF) parameters and camera and inertial measurement unit camera calibration in a vision inertial navigation system (VINS). This system consists of visual odometry and inertial navigation system (INS) which integrates with a UKF. In order to obtain simultaneous tuning and calibration of the parameters and variables, the MO-GA minimises the root mean square error of the position and velocity of the vehicle on a selected trajectory of the benchmark data set. Then, the tuned parameters and calibrated variables are placed in the VINS and an adjusted VINS (AVINS) is obtained. For investigating the AVINS,

Utilizing the uncertainty-based MADM-optimization approach to find robust-reliable design parameters for a platform-based product by considering aleatory uncertainties and?…

Asad Saghari, Amirreza Kosari, Ulf Sellgren, Masoud Ebrahimi
Journal PapersResearch in Engineering Design , 2020 November 2, {Pages 22-Jan }

Abstract

In this paper, a new methodology was proposed for finding optimal robust-reliable parameter values of a space-based earth observation (SEO) mission based on a predefined multi-purpose platform considering influential uncertainties and human judgment. A deterministic optimization was performed using an evolutionary algorithm on the basis of platform capability and mission-required performance, simulated by a dynamic simulation-based model. A set of non-dominated solutions with different behaviors emerged. Then, samples of these solutions were selected and an uncertainty analysis was carried out. After that, a multiple attribute decision-making (MADM) problem was formed with two groups of attributes related to constraints҆ violations and va

A novel metamodel management strategy for robust trajectory design of an expendable launch vehicle

J Roshanian, AA Bataleblu, M Ebrahimi
Journal PapersProceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering , 2019 July 12, {Pages 0954410019860638 }

Abstract

Uncertainty-based design optimization has been widely acknowledged as an advanced methodology to address competing objectives of aerospace vehicle design, such as reliability and robustness. Despite the usefulness of uncertainty-based design optimization, the computational burden associated with uncertainty propagation and analysis process still remains a major challenge of this field of study. The metamodeling is known as the most promising methodology for significantly reducing the computational cost of the uncertainty propagation process. On the other hand, the nonlinearity of the uncertainty-based design optimization problem's design space with multiple local optima reduces the accuracy and efficiency of the metamodels prediction. In th

Difficulties in Diagnosis of Psittacosis or Ornithosis: A Case Report

Masoud Ebrahimi, Abbas Fadii, Masoud Mardani, Kouros Aghazade, Farshad Divsalar, Javad Minooeifar
Journal PapersArchives of Clinical Infectious Diseases , Volume 14 , Issue 1, 2019 February 28, {Pages }

Abstract

Introduction: Chlamydia psittaci is an intracellular and zoonotic pathogen that is transmitted through contact with birds. This pathogen causes various clinical manifestations, including subclinical cases and fatal cases. On the other hand, the variety and low specificity of many of the symptoms make diagnosis difficult while early detection of the disease causes a significant reduction in mortality.Case Presentation: The patient was a 47-year-old man with a history of headache, fever, chills, dyspnea, and productive cough with a primary diagnosis of sinusitis, which was treated with co-amoxiclav. Due to the lack of recovery, the patient was hospitalized with the diagnosis of pneumonia and was treated with meropenem and levofloxacin. After

Visual–inertial state estimation with camera and camera–IMU calibration

Mohammadvali Arbabmir, Masoud Ebrahimi
Journal PapersRobotics and Autonomous Systems , Volume 120 , 2019 October 1, {Pages 103249 }

Abstract

In the last two decades, the Visual–Inertial Odometry (VIO) has recently received much attention for efficient and accurate ego-motion estimation of unmanned vehicle systems. In particular, the VIO includes only an Inertial Measurement Unit (IMU) and a camera. In this paper, we present a novel calibration approach for accurate deployment of monocular VIO. For this purpose, the hybrid optimization algorithm is used for calibrating the camera intrinsic and camera–IMU extrinsic calibration, automatically and without knowing the mechanical configuration. It is a professional work to carefully calibrate the intrinsic and extrinsic parameters, and it is required to repeat this work when the mechanical configuration of the sensor suite changes

Price Bubbles in Tehran Stock Market: A Dynamic Stochastic General Equilibrium Model

Ehsan Asadi, Hashem Zare, Mehrzad Ebrahimi, Khosrow Piraiee
Journal PapersQuarterly Journal of Applied Theories of Economics , Volume 6 , Issue 2, 2019 January , {Pages 73-100 }

Abstract

Although stock market bubbles play an important role in determining stock price and economic fluctuations, their explanation based on fundamental principles of the economy is a challenging task. The purpose of this paper is to identify the factors shaping the price bubbles of the Tehran Stock Exchange according to a Bayesian DSGE model in the real business cycles framework. Stock price bubbles in this model appear endogenously as a positive feedback mechanism that is supported by optimistic beliefs. Based on the obtained results, the sentiment shock was introduced as the most important source of bubbles fluctuations followed by fluctuations in the stock price. This shock reflects households’ beliefs about the relative size of bubbles and

CONFIGURATION DESIGN OF SPACE CAPSULE CONSIDERING PITCHING MOMENT COEFFICIENT AND STATIC STABILITY FACTOR

S ABDOLAHI, M RAMEZANI, M EBRAHIMI
Journal Papers , Volume 14 , Issue 4540081, 2019 January 1, {Pages 21-32 }

Abstract

The main purpose of this study is to determine the initial configuration of suborbital manned spacecraft in the conceptual design phase. During the suborbital flight path, stability of capsule is very important factor for the success of the mission. For this purpose, in this study using conventional manned spacecraft geometries which are generally blunt-cone shape, 5 configurations of space capsule are proposed. The configurations are numerically investigated during reentry phase at altitude of the 25 km from earth surface with Mach number 3.15 for different angles of attack. In order to determine longitudinal static stability characteristics of configurations during re-entry phase, the pitching moment coefficients of configurations are stu

Difficulties in Diagnosis of Psittacosis or Ornithosis: A Case Report

Masoud Ebrahimi, Abbas Fadii, Masoud Mardani, Kouros Aghazade, Farshad Divsalar, Javad Minooeifar
Journal PapersArchives of Clinical Infectious Diseases , Volume 14 , Issue 1, 2019 February 28, {Pages }

Abstract

Introduction: Chlamydia psittaci is an intracellular and zoonotic pathogen that is transmitted through contact with birds. This pathogen causes various clinical manifestations, including subclinical cases and fatal cases. On the other hand, the variety and low specificity of many of the symptoms make diagnosis difficult while early detection of the disease causes a significant reduction in mortality.Case Presentation: The patient was a 47-year-old man with a history of headache, fever, chills, dyspnea, and productive cough with a primary diagnosis of sinusitis, which was treated with co-amoxiclav. Due to the lack of recovery, the patient was hospitalized with the diagnosis of pneumonia and was treated with meropenem and levofloxacin. After

Optimization of a Reinforced-flat End Cap Through Analytical Study and Genetic Algorithm

AR Hosseinzadeh, M Ebrahimi, H Sodagari, AR Abedian
Journal PapersJournal of Stress Analysis , Volume 4 , Issue 1, 2019 September 1, {Pages 09-Jan }

Abstract

An efficient design is a key factor in final expenditure of a certain construction. Pressure vessels are structures that play an indispensable role in different industries such as petroleum, power plants etc. Pressure vessels are receptacles often used to keep gases or liquids at a pressure typically different from what atmospheric pressure is. End caps which close the end of vessels can be formed in different shapes. Thus, end cap design also has a significant role in the integrity of vessels to prevent fatal accidents that are frequent in the pressure vessel’s history. In this study, an extensive investigation of huge-flat end caps under external pressure was carried out to extract the most efficient geometrical layout. This kind of fla

Thermoelastic Analysis of a Rotating Laminated Composite Disk using Analytical and FE Methods

A Mamandi, M Ebrahimi
Journal Papers , Volume 49 , Issue 28700441, 2019 January 1, {Pages 285-294 }

Abstract

In this paper, thermoelastic stress analysis of a laminated composite rotating disk has been studied using analytical and finite element methods. The governing equations of motion for a composite rotating disk are derived based on circular disk theory of plates in conjuncture with the minimum potential energy principle. The governed equations of motions are solved analytically using Differential Quadrature Method (DQM). Moreover, for the numerical simulations in FEM, ABAQUS software is used. Two models are considered in the numerical simulations for laminated solid and annular disks as, a) a disk with only one layer in longitudinal direction and layer wise in radial direction, b) a layer wise disk in both longitudinal and radial directions,

Simultaneous filter tuning and calibration of the camera and inertial measurement unit camera for a vision inertial navigation system

Mohammadvali Arbabmir, Masoud Ebrahimi
Journal PapersIET Image Processing , Volume 14 , Issue 12, 2019 November 18, {Pages 2756-2767 }

Abstract

In this study, a novel approach based on multi-objective genetic algorithm (MO-GA) is used for simultaneous tuning the unscented Kalman Filter (UKF) parameters and camera and inertial measurement unit camera calibration in a vision inertial navigation system (VINS). This system consists of visual odometry and inertial navigation system (INS) which integrates with a UKF. In order to obtain simultaneous tuning and calibration of the parameters and variables, the MO-GA minimises the root mean square error of the position and velocity of the vehicle on a selected trajectory of the benchmark data set. Then, the tuned parameters and calibrated variables are placed in the VINS and an adjusted VINS (AVINS) is obtained. For investigating the AVINS,

Robust ascent trajectory design and optimization of a typical launch vehicle

Jafar Roshanian, Ali A Bataleblu, Masoud Ebrahimi
Journal PapersProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science , 2018 January 15, {Pages 0954406217753460 }

Abstract

Robustness and reliability of the designed trajectory are crucial for flight performance of launch vehicles. In this paper, robust trajectory design optimization of a typical LV is proposed. Two formulations of robust trajectory design optimization problem using single-objective and multi-objective optimization concept are presented. Both aleatory and epistemic uncertainties in model parameters and operational environment characteristics are incorporated in the problem, respectively. In order to uncertainty propagation and analysis, the improved Latin hypercube sampling is utilized. A comparison between robustness of the single-objective robust trajectory design optimization solution and deterministic design optimization solution is illustr

A novel evolution control strategy for surrogate-assisted design optimization

J Roshanian, AA Bataleblu, M Ebrahimi
Journal PapersStructural and Multidisciplinary Optimization , 2018 January , {Pages 19-Jan }

Abstract

Optimization solutions of real-world engineering problems mainly suffer from the large computational cost, the curse of dimensionality, and the multi-disciplinary nature of the involved disciplines. These issues may be intensified by incorporating uncertainties into the design and optimization of the problem. In this context, Surrogate-Assisted Optimization (SAO) methods and Evolution Control Strategies (ECS) have been considered as powerful paradigms to overcome or at least to alleviate the mentioned issues over the last two decades. This paper presents a novel ECS strategy based on the meta-models along with the real models. This strategy calculates the accuracy of the meta-model at each design point and determines if the rea

“Wasted performance” minimization of the multi-purpose mini-satellite platform for an EO mission using a dynamic simulation-based model

Asad Saghari, Shima Rahmani, Amirreza Kosari, Masoud Ebrahimi
Journal PapersAerospace Science and Technology , Volume 73 , 2018 February 28, {Pages 61-77 }

Abstract

With growing interest in low-cost, high performance and short time-to-flight satellites, the idea of using multi-purpose satellite platforms has drawn many attentions. However, under certain conditions in which the required capability of a mission is slightly more than the capabilities of a specified variant of a multi-purpose platform, it must jump to the next higher capability variant. Correspondingly, lots of unnecessary performance or capability might be imposed. In this paper, the main goal is to minimize the wasted performance in the design of an Earth Observation (EO) satellite based on a multi-purpose platform. To this end, a dynamic simulation-based model has been developed with the capability of simulating the satellite performanc

Experimental investigation, modeling and prediction of transition from uniform discharge to filamentary discharge in DBD plasma actuators using artificial neural net...

Sadegh Dalvand, Masoud Ebrahimi, Sohrab Gholamhosein Pouryoussefi
Journal PapersApplied Thermal Engineering , Volume 129 , 2018 January 25, {Pages 50-61 }

Abstract

The process of plasma discharge in dielectric barrier discharge (DBD) plasma actuators can occur under two different regimes, namely uniform discharge regime and filamentary discharge regime. When the discharge becomes filamentary, the induced flow velocity and consequently, the performance of the actuator starts to decrease. Therefore, it is crucial to prevent the transition to filamentary discharge. In this paper, a model is developed to predict the formation of filamentary regime. For this purpose, the full factorial design of experiments is applied to investigate the effects of geometrical variables and electrical variables on induced flow velocity and power consumption. Then, artificial neural network (ANN) is employed to develop two m

Experimental investigation, modeling and prediction of transition from uniform discharge to filamentary discharge in DBD plasma actuators using artificial neural network

Sadegh Dalvand, Masoud Ebrahimi, Sohrab Gholamhosein Pouryoussefi
Journal PapersApplied Thermal Engineering , Volume 129 , 2018 January 25, {Pages 50-61 }

Abstract

The process of plasma discharge in dielectric barrier discharge (DBD) plasma actuators can occur under two different regimes, namely uniform discharge regime and filamentary discharge regime. When the discharge becomes filamentary, the induced flow velocity and consequently, the performance of the actuator starts to decrease. Therefore, it is crucial to prevent the transition to filamentary discharge. In this paper, a model is developed to predict the formation of filamentary regime. For this purpose, the full factorial design of experiments is applied to investigate the effects of geometrical variables and electrical variables on induced flow velocity and power consumption. Then, artificial neural network (ANN) is employed to develop two m

Alfredo Moser: Bottle Light Inventor Proud to Be Poor

Ali Paya, A Abadi, M Abaza, H Abdel-Samad, M Abdus-Salam, M Abid Jaberi, A AbolHassani, K Abou El-Fadl, E Abrahamian, AH Abu Sulayman, NH Abu Zayd, NH Abu Zayd, F Adamiyat, CC Adams, M Addison, J Agassi, J Agassi, M Bunge, J Agassi, J Agassi, J Agassi, F
Journal Papers , Volume 1 , Issue 3, 2018 August 21, {Pages xii-xii }

Abstract

Optimization of the Ratio of Induced Flow Velocity to Electrical Power Consumption in the DBD Plasma Actuator Using Artificial Neural Network and Genetic Algorithm

Mohammad Sadegh Dalvand, Gholamhosein Pouryoussefi, Masoud Ebrahimi
Journal PapersModares Mechanical Engineering , Volume 17 , Issue 11, 2018 January 15, {Pages 323-332 }

Abstract

Dielectric barrier discharge (DBD) plasma actuators are one of the new devices for active flow control, which has received substantial attention during the last decade. The performance of the actuator is optimum when it induces the highest velocity per unit of power consumption. Since the induced velocity and the power consumption of the actuator depend on many different variables, finding the optimal set, which results in the best performance, is of immense importance. In this paper, in order to optimize the performance of these actuators, at first, by using full factorial design of experiments the effect of electrical variables (including voltage and frequency) and geometrical variables (including the gap between electrodes, dielectric th

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دروس نیمسال جاری

  • دكتري
    روش هاي بهينه سازي ( واحد)
    دانشکده مهندسی مکانیک، گروه هوافضا

دروس نیمسال قبل

  • كارشناسي ارشد
    مباحث منتخب در ديناميك پرواز ( واحد)
    دانشکده مهندسی مکانیک، گروه هوافضا
  • دكتري
    مباحث منتخب در ديناميك پرواز ( واحد)
  • 1398
    رئوف مقدم, مهلا
    طراحي كنترلگر مبتني بر يادگيري عميق براي پرواز آرايشي جت هاي تجاري
  • 1399
    شكرالهي, پوريا
  • سرپرست مرکز پژوهشی طراحی سامانه های پرتاب 82-87
  • سرپرست پژوهشکده طراحی سامانه های فضایی 87-92
  • دبیر تخصصی مجله مکانیک مدرس از 91
  • مدیر مرکز رشد فناوری پارک علم وفناوری مدرس 94-97
  • سرپرست پارک علم وفناوری دانشگاه تربیت مدرس از شهریور 97
  • برگزیده المپیاد فیزیک کشوری دانش آموزی
  • برگزیده دو دوره المپیاد ریاضی کشوری دانش آموزی
  • پژوهشگر برتر دانشگاه صنعتی خواجه نصیرالدین طوسی در دوره دکتری
  • پژوهشگر برتر دانشگاه صنعتی خواجه نصیرالدین طوسی در دوره کارشناسی ارشد
  • دو نوبت دانشجوی ممتاز دانشگاه صنعتی اصفهان در دوره کارشناسی
  • دو نوبت دانشجوی ممتاز دانشگاه صنعتی خواجه نصیرالدین طوسی در دوره دکتری

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