Department of Modeling and Design Engineering Systems
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Item A BIOINSPIRED CONCEPTUAL DESIGN METHODOLOGY FOR BIOROBOTS(2013-05-21) KONEZ EROĞLU, Aylin; ERDEN, Abdülkadir; ERDEN, ZühalThe main aim of this thesis is to develop a Bioinspired Conceptual Design (BICD) methodology for design of biorobots. Within the context of the dissertation, a novel BICD procedure has been developed based on existing BID approaches and systematic engineering design steps. This procedure is applied on several case studies, namely a dog biorobot (BioDog) for walking and trotting, a cockroach biorobot (BioCoc) for climbing, a jumping (grasshopper) biorobot for jumping and a hybrid (dog and lobster) biorobot for walking. A BICD process has been developed using the implementation results. Classic DEVS (Discrete Event System Specification) coupled model is used to formally represent the BICD process in order to develop a BICD methodology. The proposed BICD methodology transforms customer needs into a concept design of biorobot with clear and well-defined six design steps. In order to overcome the drawbacks of existing BIDs, the biological system analysis and the bioinspired transformation design steps have been considered in detail. In this thesis, although four case studies have been implemented to demonstrate the BICD methodology, fourteen biological systems and twenty four locomotion types are investigated by using content analysis and/or observation methods. The literature survey has been used for the content analysis method, while an experimental set-up is used to analyze the biological systems for the observation method. Required knowledge on morphology, function and behavior of biological systems are obtained using a high speed camera. During the bioinspired transformation step, the knowledge about the biological system has been transformed systematically into knowledge about the biorobots and this knowledge is used to develop the concept design of biorobots.Item ASSESSMENT OF INTELLECTUAL CAPITAL BY USING NEW FUZZY ANALYTIC NETWORK PROCESS APPROACH(2013-06-14) ÖZDEMİR, Yavuz Selim; ERKAN, Turan ErmanThe value of an enterprise is made of financial assets and intangible assets which called as Intellectual Capital. Intellectual Capital has always existed, but only in the last decades awareness of its strategic importance has increased becuase of the shift in modern economy from the industrial to the knowledge era. Both academics and experts in the business world agree that Intellectual Capital is one of the most important points to maintain competitive advantage in today's markets. Intellectual Capital consists of non-physical sources of value related to Human Capital and Structural Capital. IN the scope of this thesis, a new Fuzzy Analytic Network Process approach was proposed for evaluation of the relative importance of Intellectual Capital components and it has been investigated in terms of satisfaction indicators of Intellectual Capital. This proposed new methodolgy compared with other most commonly used Fuzzy Analytic Network Process methodologies in the literature. A group of experts has been chosen for IC criteria evaluation. The obtained results used for evaluation of sectorial awareness levels for manufacturing and service sectors in Ankara area.Item DEVELOPING NEW EVALUATION METRICS TO MEASURE AND IMPROVE SUPPLY CHAIN PERFORMANCE AND FLEXIBILITY WITH SUCCESSFUL ERP IMPLEMENTATION AND BPR APPLICATION: A HYBRID FUZZY AHP / ANP / STATISTICAL ANALYSES APPROACH(2013-06-21) BAÇ, Uğur; ERKAN, Turan ErmanSupply Chain Management and flexibility has gained a great importance nowadays. Consideration of performance and flexibility of supply chains are popular research topics. To maintain competitive advantage on the market, continuous benchmarking and improvement in performance is mandatory. To adapt continuously changing market conditions, supply chain structure should be flexible. Successful ERP implementation has a considerable effect on supply chain flexibility when it is supported by a BPR application. Some special metrics are needed to evaluate overall supply chain performance and flexibility to achieve and track improvements. In this study, two new evaluation metrics have been developed to evaluate performance and flexibility by a hybrid approach with MCDM models and statistical analyses. Also prerequisites needed for a successful ERP implementation and BPR application have been specified. As a result of this study, a road map has been prepared for benchmarking and improving Supply Chain performance and flexibility by successfully implementing ERP and applying BPR.Item PROPOSING AN HYBRID MODEL AND METHODOLOGY FOR THE OPTIMIZATION OF THE CASTING PARAMETERS(2013-08-14) DEVRİM İÇTENBAŞ, Burcu; ÖZAKTAŞ, Hakan; GÜRAY, CenkCasting defects cause losses for a foundry: loss of time for reworked items and loss of material for scrapped unusable products. Investigating the reasons followed by eliminating the causes will reduce the defect percentages and positively contribute to productivity. The main goal of this study is to propose a hybrid model based on experiments by using Artificial Neural Networks (ANN) and Decision Trees (DT) for estimating casting defects. This study also proposes an individual model of ANN and DT for prediction of casting defects and compare the performance of these models. The primary objective is to make use of these models to develop a decision support system for engineers and executives working for describing the relationship between the casting parameters and casting quality .Item THE DEVELOPMENT OF A METHOD TO IMPROVE THE LIMIT DRAWING RATIO OF BLANKS USING PREFERENTIAL HEATING(2015-01-30) KAYHAN, Erdem; KAFTANOĞLU, Bilgin; KONCA, ErkanThe method developed in the current thesis can shortly be described as the application of nonisothermal local heating in the flange region of the blank to improve the formability of sheet metals in deep drawing. The use of elevated temperature gives the possibility of significantly increasing the ductility of the material and the associated forming capability. It also drastically reduces the yield point and hence the forming forces and required pressures. One of the advanced high strength sheet steels (AHSS), DP600, widely used in the automotive industry due to enabling the reduction in car weigth and increasing the crash safety is chosen as a work material in this reasearch. Using AHSS steels also reduce the material thickness and lower fuel consumption. The three different types of steels, two HSLA and one IF steels, are additionally examined to observe the validity of the developed method. As a result of the experiments conducted within the temperature limits 180oC to 275oC in flange region, the Limiting Drawing Ratio in deep drawing (LDR) is increased up to 25.58 %. Since the temperature range stays in the warm region, material properties are not influenced; but the strength remains the same while the required forming forces are reduced.Item ELASTIC ANALYSIS OF POLAR ORTHOTROPIC FUNCTIONALLY GRADED ROTATING ANNULAR DISKS(2015-01-30) ESSA, Saad; ARGEŞO, Ahmet HakanSemi-analytical and analytical solutions are presented for polar orthotropic annular functionally graded rotating disks by taking also thickness variation into account. The formulations are performed by referring to polar coordinate system and the material properties are assumed to vary in radial direction. The governing equation of the problems are obtained under the assumptions of plane stress and small deformations. Disks having two types of boundary conditions are considered. The first one is an annular disk having traction free inner and outer surfaces, whereas, the second has a rigid inclusion within and traction free outer surface. Semi-analytical solution is obtained by assuming that elasticity moduli and disk thickness vary according to a nonlinear function in which its shape is controlled by three parameters. Poisson’s ratios are assumed to be constant valued and the variation of density can be described by any form of continuous function. The three parametered nonlinear function is formed by combining the exponential and power forms of variation functions that are widely used in literature for describing material gradation. The analytical solution is determined by considering that the Elasticity moduli, disk thickness and density vary according to power law. Solutions are verified numerically by using a computational method which is based on nonlinear shooting method. Verification examples are given first. Then, parametric analysis that inspects the effects of the degree of orthotropy and material gradation on the elastic responses of rotating disks are presented. In the analysis, elastic limit angular velocities of the disks are evaluated according to Hosford’s criteria.Item DESIGN AND IMPLEMENTATION OF A PARALLEL BOUNDARY ELEMENT METHOD SOLUTION FOR 3D PARTICLE FLOW PROBLEMS IN MICROCHANNELS(2015-01-30) KARAKAYA, Ziya; BARANOĞLU, Besim; YAZICI, AliA new formulation for tracking multiple particles in slow viscous flow for microflu idic applications is presented. The method employs the manipulation of the boundary element matrices so that a system of equations is obtained relating to the rigid body velocities of the particle to the forces applied on the particle. The formulation is spe cially designed for particle trajectory tracking and involves successive matrix multi plications for which Symmetric Multiprocessing (SMP) parallelisation is applied. It is observed that the present formulation offers an efficient numerical model to be used for particle tracking and can easily be extended for multiphysics simulations in which several physics are involved.Item AN ORGANIZATION IMPROVEMENT MODEL FOR SMALL AND MEDIUM SIZED ENTERPRISES (SMEMM)(2015-01-31) ERGİN, Merve Hande; ÇELEBİ, Neş'eSmall and Medium Sized Enterprises’ (SMEs) development and improvement have impact on national economies. However, SMEs may have difficulty in providing sustainable business practices for organizational improvement. Improvement is a complex phenomenon; it needs assessment of current situation of organizational factors whereas weight of the factors change as organizations develops. Besides, SMEs may have deficiencies in assessment due to shortcomings in processes and resources. In this study, a new model which considers organizational development as a sequence of activities is proposed for the process improvement of Turkish Manufacturing SMEs. These improvement activity series aimed at having defined, manageable and measurable organizational processes. The model provides a reference point that evaluates current processes and a guideline that aligns prerequisite practices. The Capability Maturity Model (CMM) framework which consists of process management and quality improvement concepts is used for this new model. The new model is empirically tested and necessary modifications are carried out to fit the model to the structure and characteristics of Turkish manufacturing SMEs. The model can be used as a tool to identify the complete and missing activities at each level and as a roadmap for future requirements of the organization.Item A PROPOSED INTEROPERABLE MODEL FOR THE REPUBLIC OF TURKEY ON PUBLIC ELECTRONIC PROCUREMENT SYSTEM(2015-02-27) YILDIRIM İMAMOĞLU, Meltem; REHAN, MohammedApproximately 15% of the government‘s Gross Domestic Products (GDP) is spent on public procurement process. Therefore, accountability and transparency in public procurement is very important. For the regulation of public expenditures and effective use of the budget, not only public procurements but also efficient use of infrastructure that make up the system for public procurements should be considered. As a result, the importance of the public electronic procurement (PeP) processes is emphasized in this thesis. Public Procurement Authority (PPA) and the State Procurement and Supply Office (SPSO) responsible for public tenders in the Republic of Turkey, are two organizations affiliated to the Ministry of Finance. However, in public procurement process, both institutions have their own system, own business processes and legal obligations. Yet is it a privilege to have two different systems? To find the answer to this question and to analyze the current situation in both systems, satisfaction measurement surveys for both public and private organizations are conducted. In addition to the surveys, interviews are carried out by authorized people from different organizations concerned with public procurement process in the European Union (EU) and in the Republic of Turkey. In light of the information obtained from these interviews, the best three countries (England, Germany and Denmark) are investigated in detail. The results of these studies showed that EU countries, are paying an increasing importance to the efficient use of resources by the Digital Single Market system, a shift to a more centralized application is noted. In the thesis, based on the current Public electronic Procurement (PeP) system analysis, Critical Success Factors (CSFs) and required performance criteria in public procurement for achieving these success factors have been identified. It seems that the execution of public procurement process from a single platform is inevitable for the Republic of Turkey. Transparent and accountable systems are necessary to increase the participation of the public institutions and Small and Medium Sized Enterprises (SMEs) into the PeP system. All of results after the research study indicate that an interoperable PeP system is inevitable for the Republic of Turkey. This study may be claimed to be a pioneer for the use of supply chain management in public procurement process.Item FRACTIONAL MODELING OF OSCILLATING DYNAMIC SYSTEMS(2015-06-25) AGİLA, Adel; İRFANOĞLU, Bülent; EİD, RajehIn recent years, a special attention is given to model fractional dynamical systems. These systems include fractional oscillating dynamical systems. Many methods are used to model the fractional oscillating dynamical systems. The responses of some systems are obtained by means of fractional calculus and calculus of variations. In this thesis, fractional representations based on fractional calculus, calculus of variations are classified into two types: The first type is the fractional Euler-Lagrange equations representations of free oscil lating fractional systems. The fractional representation appears in the coefficients of damping terms of variable coefficient second order homogeneous differential equa tions. In the second type, the differential operators are subjected to fractional orders. The considered case studies are models given by second order homogeneous and non homogeneous three-term fractional order differential equations with fractional damp ing terms. The two types are combined to produce extended fractional Euler-Lagrange equations models. In these models the differential operators are subjected to fractional orders in the damping term of the system. Additionally, the time varying coefficients of the damping terms contain a fractional integral order. A hybrid method is introduced to obtain the responses of fractional oscillating sys tems. These systems are modeled by means of second order homogeneous three-term fractional order differential equations with fractional damping terms. The responses are compared with Wright function based solutions.Item EXPERIMENTAL AND NUMERICAL INVESTIGATION OF STRETCH FORMING PROCESS FOR AEROSPACE APPLICATIONS(2015-10-25) HATİPOĞLU, Hasan Ali; KARADOĞAN, CelalettinStretch forming process is commonly used in the aerospace industry for forming large sheet panels. In this process, a flat sheet is stretched over a form-block that acts by hydraulic power. During this action, the sheet is gripped from the sides by jaws which are also hydraulically moved. Process parameters like die-jaw movements and lubrication conditions have to be determined properly in order to produce good quality parts. In the present situation, those parameters are determined by production experience and traditional methods which slow down the process and increase the scrap risk. This study aims to optimize the stretch forming process by establishing a finite element model which provides numerical tryouts instead of physical ones. The success of the numerical analysis is highly dependent upon proper modeling of material behavior and friction. In order to capture the correct material behavior, tensile tests, bulge tests and forming limit diagram tests of commonly used sheet alloys were conducted. The results were then used for defining the hardening curves, yield loci, anisotropic constants and forming limit curves. In another study, the friction coefficients for various conditions between the tool and the sheet surfaces were determined by doing distinctive tests. Experiments were conducted by forming marked aluminum alloy sheets on a semi-circular form-die and measuring the deformation optically. They were used for the validation of the established numerical model. Finally, a method was proposed to determine the tool movements and applied successfully on a real aircraft part.Item ARTIFICIAL NEURAL NETWORK BASED DECISIVE PREDICTION MODELS ON HIGH FREQUENCY FINANCIAL DATA(2017-01-07) Karaçor, Adil Gürsel; Erkan, Turan ErmanHigh frequency financial data are somewhat hard to model or predict, if not totally impossible, as stochastic processes and many other random factors are involved. In this thesis; a novel Artificial Intelligence model is designed and developed for financial time series prediction and decision making. Possibility to enhance prediction accuracy for foreign exchange rates is investigated in two ways: first applying an outside the box approach by bringing about methodology and techniques to facilitate the use of predictive models in engineering design to model price graphs by exploiting their visual properties together with principles of chaos theory, and secondly employing the most efficient methods to detect patterns to classify the direction of movement. The approach that exploits the visual properties of price graphs makes use of density regions along with high and low values describing the shape just as in Machine Vision. Mainly Artificial Neural Networks are used in modeling. However, other state-of-the-art methods; Extreme Gradient Boosting and Support Vector Machine are too used for comparison. The designed system is also software coded as a real-time trading robot. Comparable prediction results and profits are achieved in tests and simulations.Item NEURAL NETWORK BASED FEATURE EXTRACTION FOR HANDWRITTEN DIGIT RECOGNITION(2017-01-07) Günler Pirim, Mine Altınay; Tora, Hakan; Öztoprak, KasımIn this dissertation, it is proposed that hidden layer output weights of semi-trained neural network to be used as feature vectors. In pattern recognition neural network is a training algorithm which provides classification. In this thesis in addition to this fact, it has been shown that semi-trained neural network can be used as a tool to extract hidden layer output vectors that are used as features of the image. The system is mainly composed of three steps: preprocessor, feature extractor, and classifier. Only the classifier layer differs for each experiment, the other two layers are used as default for all experiments. Support vector machine, neural network, and Euclidean distance classifiers are utilized. The experiments were conducted on MNIST and USPS benchmark datasets to evaluate the performance of the proposed approach.Item COMBINING ANALYTIC HIERARCHY PROCESS AND RANK ORDER CENTROID WITH GEOGRAPHIC INFORMATION SYSTEM FOR AIRPORT SITE SELECTION: A CASE STUDY IN LIBYA(2022-01-14) ELSHARIDA, WAEL; Erkan, Turan Erman; Baç, UğurChoosing airport locations requires thorough and comprehensive decisions to be made. To do so in a professional and logical manner is crucial for the social, economic, and logistic settings intended for any region. The present research takes place in Libya, where airports are just as vital for the economy in terms of tourism and investment by allowing for improved transportation throughout developing market and supplier locations as well as trading between the industrial and financial sectors. For this reason, using the geographic information system (GIS) to determine the appropriate airport site, twenty-three criteria were considered. Besides, two different methods - analytic hierarchy process (AHP) and rank order centroid (ROC) - were utilized to derive the related weights. The comparison of the output maps from these two distinctive approaches appears that both approaches provide identical results. A sensitivity analysis was carried out to evaluate the reliability of the method used and select the best site among the proposed ones based on the result of the highest suitability index for each candidate site. Finally, a business continuity study was applied in this research from the perspective of the location to avoid any potential natural catastrophe, and the result of all candidate sites was deemed ideal as airport sites. This research provides a siting approach and substantial support for decision makers in the issue of airport locations selection in Libya and other developing countries.Item MODELING AND OPTIMIZATION OF NANOPARTICLE PRODUCTION BY FLAME SPRAY PYROLYSIS METHOD(2022-01-14) Alhaleeb, Mustafi; Machin, Nesrin E.In this thesis, a computational fluid dynamics (CFD) model is applied to simulate the flame spray pyrolysis (FSP) process for the continuous production of nanoparticles by using Fluent V.19 (ANSYS) software and MATLAB sequentially. The model is developed and validated using the experimental data available in the literature, and later applied to design a laboratory scale FSP system. Improvement on the applied CFD model was attempted by using the shear stress transport (SST) k-ω as a turbulence model instead of the realizable k-ε model. The outcome of this attempt was to reduce the error in the primary particle size predictions from 20% to 8%. Furthermore, using an implicit pressure velocity coupling as a numerical solver shortened the computational time by 96%. The impact of nanoparticles on the flame gas temperature was taken into account, and an approach was developed to include the radiation heat losses from the flame to nanoparticles. By applying this approach, the average error in the gas temperature prediction was reduced from 24% to 7%, thus lead to the prediction of the primary particle diameters with a 92% accuracy. Moreover, a number of parametric studies were conducted to help better understand the control of the TiO2 nanoparticle sizes produced in the new FSP system. The modeling validated results showed that, gas-to-liquid-mass ratio (GLMR), energy input into the flame, dispersion gas pressure drop across the nozzle tip, cooling rate and the particle residence time are the most important operational parameters which need to be kept within a certain range to control the final nanoparticle properties.Item Development, Verification and Validation of an Industrial Communication Suite for Usage on an Oil Rig Environment(2022-01-17) Yücesan, Ongun; Özkil, AltanThe modern computer based supervisory, control and data acquisition techniques find more and more interest as Industrie 4.0, Industrial Internet of Things, Plug and Pro duce like concepts comes to life. Sometimes these applications on mechanical activ ities, involve human workers cooperations. Their safety and successful operation can be achieved by verification and validation of the software and hardware suites they rely on. A testing activity requires a repeatable series of actions. For this purpose a test suite is prepared either as a software, or a manual set of instruction for humans. Given a test suite, it is found that conducting a test based on controlled experiments is generally faster than completely running it to achieve a reliability level. However, complete runs have advantages like providing statistics such as the number of failures in a software. Both results of mathematical analysis and Monte Carlo Simulations results do not support complete rejection of either technique. Conducting controlled experiments, while time to time making full runs is found to be best course of action by the study. These ideas were implemented in our Industrial Control applications. Effort to identify means for the interarrival times, confidence intervals on them and underlying statistical distributions proved beneficient. Some observations on rare con ditions took place giving better view of the data at hand. Also statistical tests on the data, based on independence and identicalness of results indicated possible usage of statistical models. Such a result removes a cloud of uncertainty about the underlying conditions. Since data is found according with a random variable, the outcomes can be expressed more dependably.Item STRUCTURE ANALYSES OF THIN FILMS ON BASIS OF MATLAB BY LASER INDUCED BREAKDOWN SPECTROSCOPY(LIBS)(2022-01-17) Azouz , Omaro A.; Eseller, Kemal EfeIn this thesis, we work with Laser induced breakdown Spectroscopy (LIBS), which is a type of atomic emission technique that used the laser shot on specific area of the sample to atomization-cum-excitation process , which released photon (light) at different wavelengths,which compared with the NIST data ,which can be after that used to determine elements in each sample and its concentration, in our work we develop a MATLAB code to determine the peaks and the area under it with using Lorentzian fitting, so that we can calculate the Area percentage under each peak and we compare the results with other methods Origin software and Excel , so that we have the ability to calculate the RSD ,LOD and SNR and the noise Fluctuation for each shot that we had, the sample was prepared throught CVD and we used the LIBS Type ((LPS-1064-A 50mJ) , Start Wavelength 186.263 nm, End Wavelength: 888.604 nm, Gate Delay: 0.350 ,Gate Width (ms) :1.050, the calculation by using certain program showed identic results regards the Area -percentage under each peaks and abnormal response on the first and second shot at each wavelength after that the photon emission effect goes ordinary . The sample was continued: Sn, Mg, Fe, Al, Cu, S, Si, Zn .Item THEORETICAL INVESTIGATION OF CARBONYL SULFIDE CAPTURE BY ORGANIC SOLVENTS(2022-01-17) Abduesslam, Mahmoud; Özalp Yaman, Şeniz; Kayı, HakanChemical engineers focus on the presence of carbonyl sulfide (COS) in industrial gases, and also consider natural occurrences of COS in liquefied petroleum gas. To comply with the environmental regulations and meet the strict environmental requirements of gas delivery industries, all impurities in gas streams that are toxic and have corrosive properties should be cleaned. Reactive absorption is a technique that is typically used for removing acids through the use of amines and alcohol mixtures, since it is considered as one of the most reliable ways to remove acid gases. In this study, capture of COS was investigated using the density functional theory (DFT) calculations at the theory level of ωB97X-D3/6- 311++G(d,p) with the use of organic liquid mixtures. These mixtures consisted of amines, i.e., 1,8-diazabicyclo[5.4.0]undec-7-ene (DBU), 1,5-diazabicyclo[4.3.0]-non-5-ene (DBN), 2-tert-butyl-1,1,3,3-tetramethylguanidine (BTMG) and 1, 5, 7-triazabicyclo [4.4.0] dec-5- ene (TBD), as well as a number of linear alcohols, i.e., methanol, ethanol, 1-propanol, 1- butanol, 1-pentanol, and 1-hexanol. Throughout the study, a termolecular reaction mechanism of a modified single-step for 4 types of amines with 6 types of alcohol in the capture of COS was examined. In total eighteen different systems have been investigated, and the structural properties along with the thermodynamics and kinetics of the suggested COS capture reactions have been revealed in detail. The results showed that the suggested termolecular reaction mechanisms were thermodynamically feasible for the 18 different systems being tested, and the organic liquid combination of the BTMG and methanol resulted in an energy barrier that was the lowest and a rate of reaction that was the highest in the capture of COS.Item MEAN VALUE ENGINE MODELING FOR HEV PURPOSE A CASE STUDY: HBO ENGINE(2022-01-18) Çakmak, Nevzat; Bayka, A. Demir; Ertan, H. BülentIn this thesis, two cases for conventional vehicle to hybrid electric vehicle conversion were studied. In the first case, series hybrid architecture was assumed; and the internal combustion engine was assumed to be used as a part of range extender or charge module. In the second case, parallel hybrid architecture was assumed; and internal combustion engine was supported with wheel-hub brussless DC motors assembled on the rear wheels of vehicle. And, new design single cylinder spark ignited HBO engine and a BLDC motor prototype were used in the case studies. In both cases, the accurate mathematical models of the sub-systems of HEV are necessary. So, mean value engine modeling approach to model sub-systems of the spark ignited internal combustion engine was studied. And, some sub-systems of the HBO engine were modeled with mean value engine modeling approach and tested. Also, a novel electronic fuel injection system/kit which senses the air flow through the intake port to determine the engine stroke was designed and constructed; then it was used on the engine equipped with carburetor to electronic PFI engine. After the hybrid vehicle architectures, traction motor types and their mathematical models were presented, parallel hybrid architecture was applied with a custom wheel-hub BLDC motor prototype. The motor prototype was designed, manufactured and assembled on the rear wheel assembly of the Fiat, Doblo to convert a conventional vehicle to a hybrid vehicle -for second case-; and the motor-wheel assembly was tested on the dynamometer. HBO represents the first letters of the designer`s name, Hasan Basri OzdamarItem FEEDBACK CONTROL OF SYNAPTICALLY COUPLED HODGKIN-HUXLEY NEURONS(2022-01-18) Abobakar, Zargoun; Doruk, Reşat ÖzgürThrough a gap junction (electrical synapse) a pair of identical Hodgkin-Huxley neuron models are coupled together. These neurons are excited by an external current. The system we have represented is a nonlinear electrical circuit and the gap is a synaptic conductance. The complete system is of nonlinear multi-input, multi output (MIMO) type system. By using the MATLAB based software package called MATCONT and the bifurcation theory we tracked the neuron parameters that lead to bifurcation conditions. In addition, we studied the couple of the Hodgkin-Huxley model by selected different values of the synaptic conductance. For each value of the synaptic conductance we analyzed the bifurcations for the parameters of the neurons one-by-one using MATCONT. After that, we designed a controller to stabilize oscillation in the membrane potential caused by the change the parametersof the neurons. A washout filter controller of the second order type is used. This controller provides an electrical current injection to control the unwanted behaviour of the neurons due to parametric bifurcations. Linear Quadratic Regulator (LQR) supported by projective control theory, serves as the reference method in the design of the controller. The washout filter processes the membrane potentials only and projective control generates a gain to transform the filtered output to a current injection to the slave neuron.