En
  • دکتری (1396)

    مهندسی شیمی

    دانشگاه تهران، تهران، ایران

  • کارشناسی‌ارشد (1391)

    مهندسی شیمی/ شبیه‌سازی و کنترل فرآیند

    دانشگاه صنعتی شریف، تهران، ایران

  • کارشناسی (1389)

    مهندسی شیمی

    دانشگاه صنعتی شریف، تهران، ایران

  • شبیه‌سازی، بهینه‌سازی و کنترل سیستم‌های فرآیندی
  • کاربرد هوش مصنوعی در مهندسی شیمی
  • مدیریت زنجیره ارزش در صنایع نفت، گاز و پتروشیمی

    دکتر محمد فخرالاسلام از مهرماه 1397 استادیار دانشکده مهندسی شیمی دانشگاه تربیت مدرس هستند. ایشان مدارک کارشناسی و کارشناسی ارشد مهندسی شیمی را به ترتیب در سال‌های 1389 و 1391 از دانشگاه صنعتی شریف و مدرک دکترای تخصصی مهندسی شیمی را در سال 1396 از دانشگاه تهران اخذ کرده‌اند. زمینه‌های تحقیقاتی مورد علاقه ایشان شامل بهینه‌سازی و کنترل سیستم‌های فرآیندی، سیستم‌های غیرخطی، سیستم‌های پیوسته-گسسته و کاربرد هوش مصنوعی هستند.

    ارتباط

    رزومه

    A multi‐objective optimal insulin bolus advisor for type 1 diabetes based on personalized model and daily diet

    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry
    Journal PapersAsia‐Pacific Journal of Chemical Engineering , 2021 January , {Pages e2651 }

    Abstract

    We proposed a personalized bolus advisor for patients with type 1 diabetes (T1D). A bolus advisor is a decision support system that recommends insulin doses based on an open‐loop model‐based optimization. To construct the bolus advisor, the optimal open‐loop control of blood glucose (BG) concentration in T1D patients was represented as a multi‐objective optimization problem. The insulin types, doses, and times for each injection were provided by the bolus advisor based on a personalized model and an average daily diet, which should be re‐tuned frequently in specific time intervals. The constructed personalized model for T1D patients incorporates effects of the patient's age and body weight. Two treatment schemes using three types

    Potential assessment of non-edible sources for biodiesel production in Iran

    M Maleki, S Mohseni Roudbari, M Fakhroleslam, G Zarei
    Journal Papers , , {Pages }

    Abstract

    Dynamic Simulation of Natural Gas Transmission Pipeline Systems through Autoregressive Neural Networks

    M Fakhroleslam, R Bozorgmehry Boozarjomehry, AM Sahlodin, G Sin, ...
    Journal Papers , , {Pages }

    Abstract

    Thermal cracking of hydrocarbons for the production of light olefins; A review on optimal process design, operation, and control

    Mohammad Fakhroleslam, Seyed Mojtaba Sadrameli
    Journal PapersIndustrial & Engineering Chemistry Research , 2020 June 11, {Pages }

    Abstract

    Olefins production plants are large-scale processes in most of which gaseous and liquid hydrocarbons are cracked to produce light olefins. The complex and large-scale nature of these plants makes it an utmost necessity to design and operate them by using of computer-aided optimization and control methods. This review paper provides an overview of the reported research works on the optimization and control of different parts of olefin plants. The main research studies are discussed in to main sections of Optimal design, and Process operation and control. In the optimal design section, the state of the optimal design of cracking furnace systems, cold-end separation systems, and separation columns have been studied. Then in process operation a

    Thermal/catalytic cracking of hydrocarbons for the production of olefins; a state-of-the-art review III: Process modeling and simulation

    Mohammad Fakhroleslam, Seyed Mojtaba Sadrameli
    Journal Papers , Volume 252 , 2019 September 15, {Pages 553-566 }

    Abstract

    Ethylene and propylene are among the light olefins which are the main building blocks in the petrochemical and chemical industry. They are produced from thermal/catalytic cracking of gaseous and liquid hydrocarbons and recently from methanol. This paper continues the two review articles published before entitled thermal and catalytic cracking of hydrocarbons for the production of light olefins. In the last two review articles, the processes and the kinetics of thermal and catalytic cracking have been discussed in details. This paper reviews the mathematical modeling and simulation of the olefin plants including mechanisms and kinetic models, CFD simulations, rigorous models, and abstract models.

    Time-optimal symbolic control of a changeover process based on an approximately bisimilar symbolic model

    Mohammad Fakhroleslam, Giordano Pola, Elena De Santis, Maria Domenica Di Benedetto
    Journal PapersJournal of Process Control , Volume 81 , 2019 September 1, {Pages 126-135 }

    Abstract

    Many process control problems with complex qualitative specifications cannot be addressed via conventional control design methods. Examples of such specifications include logic specifications expressed in the design of start-up, shut-down, changeover, and emergency shutdown operating procedures. In recent years, it has been shown in the control systems and computer science communities that symbolic models provide convenient and powerful mechanisms to synthesize controllers enforcing such qualitative specifications. The use of symbolic models reduces the synthesis of the controllers to a fixed-point computation problem over a finite-state abstract system. In this paper, after explaining the notion of approximate bisimulation for incrementall

    Multivariable adaptive neural network predictive control in the presence of measurement time-delay; application in control of Vinyl Acetate monomer process

    Faramarz Pazhooh, Farhad Shahraki, Jafar Sadeghi, Mohammad Fakhroleslam
    Journal PapersJournal of Process Control , Volume 66 , 2018 June 30, {Pages 39-50 }

    Abstract

    As an integral part of a plantwide control system for large-scale nonlinear systems with non-measurable states and time-delay in measured outputs, a multi-input multi-output (MIMO) adaptive neural network predictive controller (ANNPC) is presented. A neural network model-based observer is used in the structure of the proposed controller to estimate the unknown states. Then, an adaptive predictor is designed based on the observer and is employed to predict non-measurable states. Stability of the proposed observer and controller is proved using Lyapunov function theorem. The proposed controller is used as a part of the control system of a Vinyl Acetate monomer (VAM) process. A new partially-centralized structure is developed for plantwide con

    Design of a Hybrid Controller for Pressure Swing Adsorption Processes

    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry, Shohreh Fatemi, Elena De Santis, Maria Domenica Di Benedetto, Giordano Pola
    Journal PapersIEEE Transactions on Control Systems Technology , Issue 99, 2018 June 22, {Pages 15-Jan }

    Abstract

    The aim of this paper is to synthesize a hybrid controller for pressure swing adsorption (PSA) processes. Since the process is described by a set of partial differential algebraic equations, first a local reduced-order model (LROM) for the process is developed and is formalized as a hybrid system. A hybrid controller is designed for purity control of the process in the presence of external disturbances by determining the maximal safe set of the LROM. A hybrid backward reachability analysis is performed for this purpose. Considering a realistic scenario for PSA processes where the states are not available and the number of measurement sensors is very limited, the desired states are estimated by using a hybrid observer. The controller is desi

    Maximal safe set computation for pressure swing adsorption processes

    Mohammad Fakhroleslam, Shohreh Fatemi, Ramin Bozorgmehry Boozarjomehry, Elena De Santis, Maria Domenica Di Benedetto, Giordano Pola
    Journal PapersComputers & Chemical Engineering , Volume 109 , 2018 January 4, {Pages 179-190 }

    Abstract

    In this paper we propose a method towards purity control of pressure swing adsorption (PSA) processes which is based on the use of hybrid systems formalism. Hybrid systems feature both continuous and discrete-event dynamics and hence are very suited to describe in detail PSA processes. Based on mechanistic model of the processes, a local reduced-order model (LROM) is developed for PSA processes. Then the processes are represented as hybrid systems whose continuous evolution is described by the LROM. We then perform an analysis of hybrid reachability properties of the hybrid system obtained, based on which the so-called maximal safe set is computed. The analysis is performed for a two-bed, six-step benchmark PSA process and the influence of

    Dynamical Hybrid Observer for Pressure Swing Adsorption Processes

    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry, Shohreh Fatemi, Gabriella Fiore
    Journal PapersIFAC-PapersOnLine , Volume 50 , Issue 1, 2017 July 1, {Pages 10196-10201 }

    Abstract

    A dynamical hybrid observer is proposed for online reconstruction of the active mode and continuous states of Pressure Swing Adsorption (PSA) processes as an integral part of a hybrid control system. A mode observer is designed for estimation of the active mode, and the continuous spatial profiles are estimated by a Distributed and Decentralized Switching Kalman Filter. The proposed hybrid observer has been applied, in silico, for a two-bed, six-step PSA process. The active mode of the process along with the continuous spatial profiles of its adsorption beds have been estimated quite accurately based on very limited number of noise corrupted temperature and pressure measurements.

    On enzymatic reactions: The role of a feedback from the substrate

    Pasquale Palumbo, Mahsa Ghasemi, Mohammad Fakhroleslam
    Conference PapersDecision and Control (CDC), 2017 IEEE 56th Annual Conference on , 2017 December 12, {Pages 441-446 }

    Abstract

    This note investigates a basic enzymatic scheme, with a substrate transforming into a product by means of the catalytic action of an enzyme. The focus is in the role of a feedback regulating the enzyme production. The novelty of the paper is in the choice of the feedback, acting from substrate accumulation differently from previous cases already studied in the literature, where the feedback acts from the product or from the enzyme. The feedback scheme is studied according to both a deterministic and stochastic approach: the former providing the existence of a unique meaningful asymptotically stable equilibrium; the latter investigating how noise propagates with or without the feedback. Regards to the stochastic approach, the metabolic noise

    A hybrid controller for purity control of a pressure swing adsorption process

    Mohammad Fakhroleslam, Shohreh Fatemi, Ramin Bozorgmehry Boozarjomehry, Elena De Santis, Maria Domenica Di Benedetto, Giordano Pola
    Conference PapersDecision and Control (CDC), 2017 IEEE 56th Annual Conference on , 2017 January , {Pages 2372-2377 }

    Abstract

    A hybrid controller is proposed for Pressure Swing Adsorption (PSA) processes. Since the process is described by a set of Partial Differential Algebraic Equations (PDAE's), first a Local Reduced Order Model (LROM) for the process is developed and then it is formalized as a hybrid system. A controller is designed for purity control of the process in the presence of external disturbances, by determining the maximal safe set of the LROM. Hybrid backward reachability analysis is performed for this purpose. The controller is designed and applied to a two-bed, six-step PSA process whose dynamical behavior is simulated by a full-order principle-based model of the process. Excellent performance of the controller is obtained.

    Design of a dynamical hybrid observer for pressure swing adsorption processes

    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry, Shohreh Fatemi
    Journal PapersInternational Journal of Hydrogen Energy , Volume 42 , Issue 33, 2017 August 17, {Pages 21027-21039 }

    Abstract

    As an integral part of a hybrid control system for Pressure Swing Adsorption (PSA) processes, a dynamical hybrid observer is proposed for online reconstruction of the active mode and continuous states of these processes. Hybrid systems feature both continuous and discrete-event dynamics and hence are very suited to describe PSA processes. For estimation of the active mode, a mode observer is designed, and the continuous spatial profiles in each mode are estimated by distributed and decentralized Kalman filters. The proposed hybrid observer has been applied, in silico, for a two-bed, six-step PSA process used for Hydrogen purification. The active mode of the process along with the continuous spatial profiles of its adsorption beds have been

    A switching decentralized and distributed extended Kalman filter for pressure swing adsorption processes

    Mohammad Fakhroleslam, Shohreh Fatemi, Ramin Bozorgmehry Boozarjomehry
    Journal PapersInternational Journal of Hydrogen Energy , Volume 41 , Issue 48, 2016 December 28, {Pages 23042-23056 }

    Abstract

    A continuous-discrete Distributed and Decentralized Switching Kalman Filter (DDSKF) is designed for estimation of spatial profiles in Pressure Swing Adsorption (PSA) processes. The introduced observer is an integral part of the control strategy of hybrid systems in general and PSA systems in particular. A reduced order model is developed based on the mechanistic model of the process. The sensors are optimally located and observability of the process is studied. The proposed observer is used to estimate the spatial profiles of various states of a two-bed, six-step PSA system used for production of pure H2 from a H2–CH4 gas mixture. The spatial profiles of the system have been estimated using the proposed observer quite accurately and rapid

    Prediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling

    Mohammad Fakhroleslam, Armin Samimi, Seyyed Abbas Mousavi, Razieh Rezaei
    Journal PapersIranian Journal of Chemical Engineering (IJChE) , Volume 13 , Issue 1, 2016 January 1, {Pages 73-83 }

    Abstract

    Utilization of membrane humidifiers is one of the methods commonly used to humidify reactant gases in polymer electrolyte membrane fuel cells (PEMFC). In this study, polymeric porous membranes with different compositions were prepared to be used in a membrane humidifier module and were employed in a humidification test. Three different neural network models were developed to investigate several parameters, such as casting solution composition, membrane thickness, operating pressure, and flow rate of input dry air which have an impact on relative humidity of the exhausted air after humidification process. The three mentioned models included Feed-Forward Back-Propagation (FBP), Radial Basis Function (RBF), and Feed-Forward Genetic Algorithm (

    Comparative simulation study of PSA, VSA, and TSA processes for purification of methane from CO2 via SAPO-34 core-shell adsorbent

    Mohammad Fakhroleslam, Shohreh Fatemi
    Journal PapersSeparation Science and Technology , Volume 51 , Issue 14, 2016 September 21, {Pages 2326-2338 }

    Abstract

    Cyclic adsorption processes of PSA, VSA, and TSA were modeled and numerically simulated using SAPO-34 core-shell adsorbent. The results were compared with ordinary SAPO-34 to achieve a more efficient process for CO2–CH4 separation. OCM coupled with method of lines was used for numerical solution of the mechanistic model. The simulation results revealed higher efficiency of core-shell adsorbent with less usage of SAPO rather than the ordinary adsorbent to achieve the same degree of purification and recovery. VSA and TSA processes against PSA resulted in CH4 purification capability more than 99% with more than 73% recovery. However, VSA process has revealed higher productivity rather than TSA.

    Nonlinearity assessment of chemical processes

    Mohammad Fakhroleslam, Ramin Bozorgmehry Boozarjomehry, Faramarz Pazhooh
    Journal PapersScientia Iranica , Volume 22 , Issue 3, 2015 June 1, {Pages 967-980 }

    Abstract

    One of the most important issues in controller design and analysis of a nonlinear system is the degree of nonlinearity in the system. Helbig et al. proposed a method in which the system along with a linear reference model (which is the sum of a couple of rst order transfer functions) are stimulated with a set of input patterns. The outputs of these systems are then compared and the nonlinearity measure of the system is obtained as normalized di erence between the outputs of these two systems. In this paper, the linear reference model is replaced with two simpler linear models. The proposed method has been used for the assessment of the nonlinearity measure of various nonlinear systems that are used as standard benchmarks by the nonlinear pr

    دروس نیمسال جاری

    • دكتري
      طراحي به كمك كامپيوتر ( CAD) ( واحد)
      دانشکده مهندسی شیمی، گروه فرآيند

    دروس نیمسال قبل

    • كارشناسي ارشد
      محاسبات عددي پيشرفته ( واحد)
      دانشکده مهندسی شیمی، گروه فرآيند
    • كارشناسي ارشد
      محاسبات عددي پيشرفته ( واحد)
    • دكتري
      طراحي مفهومي فرآيندها ( واحد)
    • كارشناسي ارشد
      طراحي پايه و تفصيلي فرآيندهاي شيميايي ( واحد)
    • 1398
      اسدي, سعيد
      كنترل مبتني بر يادگيري ماشين براي فرآيندهاي جذب سطحي با تناوب فشار جهت ارتقاء انواع زيست گاز
    • 1398
      مهدوي, زهرا
    • 1398
      آقايي, مصطفي
    • 1398
      نسيمي, سحر
    • 1398
      ستايش نيا, علي
    • 1399
      صدري, عليرضا
    • 1399
      مجتهدزاده, سيدمحمدباقر
    • 1399
      اسلام جمال, فاطمه
    • 1399
      اميرشكاري, محمدحسين
    • 1399
      جلالي, حسين
    • 1399
      اميرصدري نائيني, هانيه
    • 1399
      حميدي, محمد
      داده ای یافت نشد
      داده ای یافت نشد
      داده ای یافت نشد
    • 1397 - جایزه استاد مدعو، دانشگاه لاکوییلا، ایتالیا، بهار 1397.
    • 1398 - جایزه دکتر کاظمی آشتیانی، بنیاد ملی نخبگان.

    مهم

    جدید

      اطلاعیه ای درج نشده است