A New Maximum Inductive Power Transmission Capacity Tracking Method

Ameri, Mohammad Hassan,Varjani, Ali Yazdian,Mohamadian, Mustafa The Korean Institute of Power Electronics 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.6

In certain applications, such as IPT-based EV charger (IPTEC), any variation in alignment and distance between pickup and charger primary leads to a change in leakage and magnetic impedance magnitudes. The power transmission capacity is not always at the maximum level because of these variations. This study proposes a new low-cost tracking method that achieves the Maximum Inductive Power Transmission Capacity (MIPTC). Furthermore, in the proposed method, the exchange of information between load and source is not required. For an application such as IPTEC, the load detected by the IPTEC varies continuously with time because of the change in state of the charge. This load variation causes a significant variation in IPT resonant circuit voltage gain. However, the optimized charging output voltage should be kept constant. From the analysis of the behavior of the IPT circuit at different working frequencies and load conditions, a MIPTC operation point that is independent of load condition can be identified. Finally, the experimental results of a developed prototype IPT circuit test show the performance of the proposed method.

A New Maximum Inductive Power Transmission Capacity Tracking Method

Mohammad Hassan Ameri,Ali Yazdian Varjani,Mustafa Mohamadian 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.6

In certain applications, such as IPT-based EV charger (IPTEC), any variation in alignment and distance between pickup and charger primary leads to a change in leakage and magnetic impedance magnitudes. The power transmission capacity is not always at the maximum level because of these variations. This study proposes a new low-cost tracking method that achieves the Maximum Inductive Power Transmission Capacity (MIPTC). Furthermore, in the proposed method, the exchange of information between load and source is not required. For an application such as IPTEC, the load detected by the IPTEC varies continuously with time because of the change in state of the charge. This load variation causes a significant variation in IPT resonant circuit voltage gain. However, the optimized charging output voltage should be kept constant. From the analysis of the behavior of the IPT circuit at different working frequencies and load conditions, a MIPTC operation point that is independent of load condition can be identified. Finally, the experimental results of a developed prototype IPT circuit test show the performance of the proposed method.

Cellular goore game with application to finding maximum clique in social networks

Khomami Mohammad Mehdi Daliri,Meybodi Mohammad Reza,Ameri Reyhaneh 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.3

The goore game (GG) is a model for collective decision making under uncertainty, which can be used as a tool for stochastic optimization of a discrete variable function. The GG has a fascinating property that can be resolved in a distributed manner with no intercommunication between the players. The game has found applications in many network applications, including sensor networks, quality-of-service routing, and social networks. In this paper, we introduce an extension of GG called cellular goore game (CGG) for the first time. The CGG is a network of GGs. In this network, each node (or subset of nodes in the network) plays the rule of referees, each of which participates in a GG with its neighboring players (voters) at any time. Like in GG, each player independently selects its optimal action between two available actions based on their gains and losses received from its adjacent referee. Players in CGG know nothing about how other players are playing or even how/why they are rewarded/penalized. The potential of the CGG is shown by providing an algorithm for finding a maximum clique in social networks. Our research provides the first-time study of the CGG for finding a maximum clique in graphs. The performance of the CGG-based algorithm for finding maximum clique is studied on the standard clique benchmark called DIMACS by several experiments. The obtained result shows that the CGG-based algorithm is superior to the existing algorithms in terms of finding maximum clique size and time.

Performance of Eggplant (Solanum melongena L.) and Sweet Pepper (Capsicum annuum L.) in Intercropping System under Different Rates of Nitrogen

Mohammad Hossein Aminifard,Hossein Aroiee,Hamide Fatemi,Atefe Ameri 한국원예학회 2010 Horticulture, Environment, and Biotechnology Vol.51 No.5

The objective of this study was to determine the effect of nitrogen fertilizer levels on the performance of an eggplant (Solanum melongena L.) and sweet pepper (Capsicum annuum L) intercropping system in open field at four different levels (0, 50, 100 and 150 ㎏/㏊). Plant height, lateral stem length, leaf chlorophyll content, days to 1st flowering, flower number, fruit weight and plant yield were assessed. Results of this study indicated that nitrogen fertilizer increased some growth characteristics (plant height, lateral stem number, and leaf chlorophyll) of eggplant and pepper in intercropping system. Nitrogen fertilizer affected eggplant flowering factors (flower number and days to 1st flowering). Days to 1st flowering decreased by nitrogen treatments and treated plants flowered earlier than control. It was observed that fertilization with 50 ㎏ N ㏊-1 resulted in the best fruit weight and plant yield for both eggplant and pepper in intercropping system.

Influence and Application of an External Variable Magnetic Field on the Aqueous HCl Solution Behavior: Experimental Study and Modelling Using the Taguchi Method

Abbas Hashemizadeh,Mohammad Javad Ameri,Babak Aminshahidy,Mostafa Gholizadeh 한국공업화학회 2018 공업화학 Vol.29 No.2

Influences of the magnetic field on 5, 10 and 15 wt% (1.5, 3 and 4.5 M) HCl solution behaviour, which has widespread applications in petroleum well acidizing, were investigated in various conditions. Differences in the pH of magnetized hydrochloric acid compared to that of normal hydrochloric acid were measured. Taguchi design of experimental (DoE) method were used to model effects of the magnetic field intensity, concentration, velocity and temperature of acid in addition to the elapsed time. The experimental results showed that the magnetic field decreases [H+] concentration of hydrochloric acid up to 42% after magnetization. Increasing the magnetic field intensity (with 28% contribution), concentration (with 42% contribution), and velocity of acid increases the effect of magnetic treatment. The results also demonstrated that the acid magnetization wasnot influenced by the fluid velocity and heating. It was also displayed that the acid preserves its magnetic memory during time. The optimum combination of factors with respect to the highest change of [H+] concentration was obtained as an acid concentration of 10% and an applied magnetic field of 4,300 Gauss. Due to the reduction of HCl reaction rate under the magnetization process, it can be proposed that the magnetized HCl is a cost effective and reliable alternative retarder in the matrix acidizing of hydrocarbon (crude oil and natural gas) wells.

Multi objective optimization of reverse osmosis desalination plant with exergy approach

Somayyeh Sadri,Ramin Haghighi Khoshkhoo,Mohammad Ameri 대한기계학회 2016 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.30 No.10

A brackish water reverse osmosis desalination plant based on exergy analysis was simulated and its performance was investigated. The computational model base on diffusion and convection transport mechanisms and concentration polarization concept was developed to predict the performance of RO membrane using different feed water concentration, feed flow rate, feed water pressure, membrane specification and feed water properties. The mathematical model has had good accuracy with reference data. The influence of operating parameters such as feed water pressure and temperature on the performance of the system was studied. Exergetic efficiency and destruction of streams exergy were calculated. Finally, multi-objective optimization for highest exergetic efficiency and permeate flow rate was done.