The Experts below are selected from a list of 2799 Experts worldwide ranked by ideXlab platform

Hossain Altab - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Air-Cushion tracked vehicle performance investigation: neural-networks
    'Inderscience Publishers', 2012
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Ramesh Singh
    Abstract:

    The Intelligent Air-Cushion Tracked Vehicle (IACTV) is given focus as an alternative to conventional off-road vehicles, which are driven by track and Air-Cushion systems. To make the IACTV as effi cient as possible, proper investigation of the vehicle’s performance is essential. The most relevant factors that affect the competitive effi ciency of the (ACTV) are the Tractive Effort (TE), Motion Resistance (MR) and Power Consumption (PC). Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. Cushion Clearance Height (CH), and Air-Cushion Pressure (CP)are used at the input layers, while PC, TE and MR are used at the output layers. Experiments are carried out in the fi eld to investigate the vehicle’s performance, and the fi ndings are compared with the results obtained from ANN

  • Nonlinear controller of an Air-Cushion system for a swamp terrain vehicle: fuzzy logic approach
    Professional Engineering Publishing, 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This paper presents the fuzzy logic controller (FLC) of an Air-Cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measuring sensor that was attached to the vehicle. The main purpose of this study was to develop a control scheme for an Air-Cushion system and to investigate the relationship between vehicle vertical position and the Air-Cushion system, and to illustrate the important role of the fuzzy logic control system. Experimental values were recorded in the laboratory for control system testing, and in the swamp peat terrain field for vehicle performance investigation. In this paper, a fuzzy logic expert system (FLES) model, based on the Mamdani approach, was developed to predict the changes in flowrate. The mean relative error of actual and predicted values from the FLES model of lowrate was found to be slightly above the acceptable limit. The goodness of fit of the prediction values from the FLES model was found to be close to 1.0 as expected, and hence demonstrated the good performance of the developed system

  • Mobility investigation of an intelligent Air-Cushion tracked vehicle on swamp peat terrain in Malaysia
    'SAE International', 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This study presents the vehicle mobility in terms of traction mechanics for the developed small scale intelligent AirCushion tracked vehicle (IACTV) moving over swamp peat.The Air Cushion system partially supports the 20 % of vehicle total weight in order to make the vehicle ground contact pressure 7 kN/m2. As the Air-Cushion support system can adjust automatically on the terrain, so the vehicle can move over the terrain without any risks. The spring-damper system is used with the vehicle body to control the Air-Cushion support system on any undulating terrain by making the system sinusoidal form but an unstable heave motion is developed under these conditions. The experiment and simulated performance results such as tractive efficiency of 60-72 % and corresponding traction coefficient of 50-55 % for the vehicle slippage of 3-10 % indicate that the developed vehicle can meet the swamp peat terrain requirement with its optimal power consumption

  • Intelligent Air-Cushion tracked vehicle performance investigation: neural-networks
    'Inderscience Publishers', 2011
    Co-Authors: Rahman, Mohammed Ataur, Hossain Altab
    Abstract:

    Intelligent Air-Cushion tracked vehicle (IACTV) is focused for the alternatives to conventional off-road vehicles, which are driven by track system and Air-Cushion system. To make IACTV as efficient as possible, proper investigation of vehicle performance is essential. However, most relevant factors that affect the competitive efficiency of the Air-Cushion tracked vehicle are the tractive effort, motion resistance and power consumption. Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. Cushion clearance height (CH), and Air-Cushion pressure (CP) are used at the input layers while power consumption (PC), tractive effort (TE) and motion resistance (MR) are used at the output layers. Experiments are carried out in the field to investigate the vehicle performance and compared with the results obtained from ANN

  • Dynamic modeling of intelligent Air-Cushion tracked vehicle for swamp peat
    World Academy of Science Engineering and Technology (W A S E T), 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Aminanda Yulfian
    Abstract:

    Modeling of the dynamic behavior and motion are renewed interest in the improved tractive performance of an intelligent Air-Cushion tracked vehicle (IACTV). This paper presents a new dynamical model for the forces on the developed small scale intelligent Air-Cushion tracked vehicle moving over swamp peat. The Air Cushion system partially supports the 25 % of vehicle total weight in order to make the vehicle ground contact pressure 7 kN/m2. As the Air-Cushion support system can adjust automatically on the terrain, so the vehicle can move over the terrain without any risks. The springdamper system is used with the vehicle body to control the AirCushion support system on any undulating terrain by making the system sinusoidal form. Experiments have been carried out to investigate the relationships among tractive efficiency, slippage, traction coefficient, load distribution ratio, tractive effort, motion resistance and power consumption in given terrain conditions. Experiment and simulation results show that Air-Cushion system improves the vehicle performance by keeping traction coefficient of 71% and tractive efficiency of 62% and the developed model can meet the demand of transport efficiency with the optimal power consumption

Mohiuddin A. K. M. - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Air-Cushion tracked vehicle performance investigation: neural-networks
    'Inderscience Publishers', 2012
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Ramesh Singh
    Abstract:

    The Intelligent Air-Cushion Tracked Vehicle (IACTV) is given focus as an alternative to conventional off-road vehicles, which are driven by track and Air-Cushion systems. To make the IACTV as effi cient as possible, proper investigation of the vehicle’s performance is essential. The most relevant factors that affect the competitive effi ciency of the (ACTV) are the Tractive Effort (TE), Motion Resistance (MR) and Power Consumption (PC). Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. Cushion Clearance Height (CH), and Air-Cushion Pressure (CP)are used at the input layers, while PC, TE and MR are used at the output layers. Experiments are carried out in the fi eld to investigate the vehicle’s performance, and the fi ndings are compared with the results obtained from ANN

  • Nonlinear controller of an Air-Cushion system for a swamp terrain vehicle: fuzzy logic approach
    Professional Engineering Publishing, 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This paper presents the fuzzy logic controller (FLC) of an Air-Cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measuring sensor that was attached to the vehicle. The main purpose of this study was to develop a control scheme for an Air-Cushion system and to investigate the relationship between vehicle vertical position and the Air-Cushion system, and to illustrate the important role of the fuzzy logic control system. Experimental values were recorded in the laboratory for control system testing, and in the swamp peat terrain field for vehicle performance investigation. In this paper, a fuzzy logic expert system (FLES) model, based on the Mamdani approach, was developed to predict the changes in flowrate. The mean relative error of actual and predicted values from the FLES model of lowrate was found to be slightly above the acceptable limit. The goodness of fit of the prediction values from the FLES model was found to be close to 1.0 as expected, and hence demonstrated the good performance of the developed system

  • Study of Fuzzy Controller to control vertical position of an Air-Cushion tracked vehicle
    2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This paper presents the fuzzy logic control system of an Air-Cushion tracked vehicle (ACTV) operating on swamp peat terrain. Vehicle vertical position is maintained by using an inflated Air-Cushion system attached with the vehicle. It is desired that the vehicle vertical position be maintained at a desired position so that vehicle obtains sufficient traction control and to propel the driving system. To accomplish this task, it is required that the error between the actual position and the desired position equal to zero, and the differential position rate also be equal to zero. Therefore, the main purpose of this study is to develop an appropriate control strategy for an Air-Cushion system by using fuzzy logic expert system. Air-Cushion system is controlled by the electronic proportional control valve and fuzzy logic controller (FLC) with associating the output signal of the distance (height) measuring sensor attached with the vehicle. In this control scheme the fundamental goal is to employ the fuzzy logic expert system to set the fuzzy rules and to actuate the electronic proportional valve in order to obtain appropriate valve control actions. Experimental values are taken in the laboratory for control system testing to investigate the relationship between vehicle vertical position and Air-Cushion system

  • Dynamic modeling of intelligent Air-Cushion tracked vehicle for swamp peat
    World Academy of Science Engineering and Technology (W A S E T), 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Aminanda Yulfian
    Abstract:

    Modeling of the dynamic behavior and motion are renewed interest in the improved tractive performance of an intelligent Air-Cushion tracked vehicle (IACTV). This paper presents a new dynamical model for the forces on the developed small scale intelligent Air-Cushion tracked vehicle moving over swamp peat. The Air Cushion system partially supports the 25 % of vehicle total weight in order to make the vehicle ground contact pressure 7 kN/m2. As the Air-Cushion support system can adjust automatically on the terrain, so the vehicle can move over the terrain without any risks. The springdamper system is used with the vehicle body to control the AirCushion support system on any undulating terrain by making the system sinusoidal form. Experiments have been carried out to investigate the relationships among tractive efficiency, slippage, traction coefficient, load distribution ratio, tractive effort, motion resistance and power consumption in given terrain conditions. Experiment and simulation results show that Air-Cushion system improves the vehicle performance by keeping traction coefficient of 71% and tractive efficiency of 62% and the developed model can meet the demand of transport efficiency with the optimal power consumption

  • Integrated mechanics of hybrid electrical Air-Cushion tracked vehicle for swamp peat
    'Inderscience Publishers', 2011
    Co-Authors: Rahman, Mohammed Ataur, Mohiuddin A. K. M., Hossain Altab, Ismail, Ahmad Faris, Yahya Azmi
    Abstract:

    This paper presents an integrated mechanics for the design of hybrid electrical Air-Cushion tracked vehicle. The Air-Cushion of HETAV is protected with a novel-design Air-Cushion supporting system which can adjust automatically. A propeller is equipped with the vehicle to develop additional thrust for overcoming the dragging motion resistance of the Air-Cushion system. The mean values of traction for the vehicle with propeller compared with no propeller increased 10.21% and 6.47% for the vehicle weight of 2.45 kN and 3.43 kN, respectively. Similarly, it was found that the mean values of vehicle's motion resistance decreases 12.63% and 25.81% for the vehicle weight of 2.45 kN and 3.43 kN, respectively

Rahman, Mohammed Ataur - One of the best experts on this subject based on the ideXlab platform.

  • Intelligent Air-Cushion tracked vehicle performance investigation: neural-networks
    'Inderscience Publishers', 2012
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Ramesh Singh
    Abstract:

    The Intelligent Air-Cushion Tracked Vehicle (IACTV) is given focus as an alternative to conventional off-road vehicles, which are driven by track and Air-Cushion systems. To make the IACTV as effi cient as possible, proper investigation of the vehicle’s performance is essential. The most relevant factors that affect the competitive effi ciency of the (ACTV) are the Tractive Effort (TE), Motion Resistance (MR) and Power Consumption (PC). Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. Cushion Clearance Height (CH), and Air-Cushion Pressure (CP)are used at the input layers, while PC, TE and MR are used at the output layers. Experiments are carried out in the fi eld to investigate the vehicle’s performance, and the fi ndings are compared with the results obtained from ANN

  • Nonlinear controller of an Air-Cushion system for a swamp terrain vehicle: fuzzy logic approach
    Professional Engineering Publishing, 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This paper presents the fuzzy logic controller (FLC) of an Air-Cushion system for a swamp peat terrain vehicle and describes the process by which it functions. Cushion pressure is controlled by an electronic proportional control valve and FLC using the output signal of the distance (height) measuring sensor that was attached to the vehicle. The main purpose of this study was to develop a control scheme for an Air-Cushion system and to investigate the relationship between vehicle vertical position and the Air-Cushion system, and to illustrate the important role of the fuzzy logic control system. Experimental values were recorded in the laboratory for control system testing, and in the swamp peat terrain field for vehicle performance investigation. In this paper, a fuzzy logic expert system (FLES) model, based on the Mamdani approach, was developed to predict the changes in flowrate. The mean relative error of actual and predicted values from the FLES model of lowrate was found to be slightly above the acceptable limit. The goodness of fit of the prediction values from the FLES model was found to be close to 1.0 as expected, and hence demonstrated the good performance of the developed system

  • Study of Fuzzy Controller to control vertical position of an Air-Cushion tracked vehicle
    2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M.
    Abstract:

    This paper presents the fuzzy logic control system of an Air-Cushion tracked vehicle (ACTV) operating on swamp peat terrain. Vehicle vertical position is maintained by using an inflated Air-Cushion system attached with the vehicle. It is desired that the vehicle vertical position be maintained at a desired position so that vehicle obtains sufficient traction control and to propel the driving system. To accomplish this task, it is required that the error between the actual position and the desired position equal to zero, and the differential position rate also be equal to zero. Therefore, the main purpose of this study is to develop an appropriate control strategy for an Air-Cushion system by using fuzzy logic expert system. Air-Cushion system is controlled by the electronic proportional control valve and fuzzy logic controller (FLC) with associating the output signal of the distance (height) measuring sensor attached with the vehicle. In this control scheme the fundamental goal is to employ the fuzzy logic expert system to set the fuzzy rules and to actuate the electronic proportional valve in order to obtain appropriate valve control actions. Experimental values are taken in the laboratory for control system testing to investigate the relationship between vehicle vertical position and Air-Cushion system

  • Intelligent Air-Cushion tracked vehicle performance investigation: neural-networks
    'Inderscience Publishers', 2011
    Co-Authors: Rahman, Mohammed Ataur, Hossain Altab
    Abstract:

    Intelligent Air-Cushion tracked vehicle (IACTV) is focused for the alternatives to conventional off-road vehicles, which are driven by track system and Air-Cushion system. To make IACTV as efficient as possible, proper investigation of vehicle performance is essential. However, most relevant factors that affect the competitive efficiency of the Air-Cushion tracked vehicle are the tractive effort, motion resistance and power consumption. Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. Cushion clearance height (CH), and Air-Cushion pressure (CP) are used at the input layers while power consumption (PC), tractive effort (TE) and motion resistance (MR) are used at the output layers. Experiments are carried out in the field to investigate the vehicle performance and compared with the results obtained from ANN

  • Dynamic modeling of intelligent Air-Cushion tracked vehicle for swamp peat
    World Academy of Science Engineering and Technology (W A S E T), 2011
    Co-Authors: Hossain Altab, Rahman, Mohammed Ataur, Mohiuddin A. K. M., Aminanda Yulfian
    Abstract:

    Modeling of the dynamic behavior and motion are renewed interest in the improved tractive performance of an intelligent Air-Cushion tracked vehicle (IACTV). This paper presents a new dynamical model for the forces on the developed small scale intelligent Air-Cushion tracked vehicle moving over swamp peat. The Air Cushion system partially supports the 25 % of vehicle total weight in order to make the vehicle ground contact pressure 7 kN/m2. As the Air-Cushion support system can adjust automatically on the terrain, so the vehicle can move over the terrain without any risks. The springdamper system is used with the vehicle body to control the AirCushion support system on any undulating terrain by making the system sinusoidal form. Experiments have been carried out to investigate the relationships among tractive efficiency, slippage, traction coefficient, load distribution ratio, tractive effort, motion resistance and power consumption in given terrain conditions. Experiment and simulation results show that Air-Cushion system improves the vehicle performance by keeping traction coefficient of 71% and tractive efficiency of 62% and the developed model can meet the demand of transport efficiency with the optimal power consumption

Daniele Dini - One of the best experts on this subject based on the ideXlab platform.

  • Exploiting Air Cushion effects to optimise a superhydrophobic/hydrophilic patterned liquid ring sealed Air bearing
    Tribology International, 2020
    Co-Authors: Jun Wen, Tom Reddyhoff, Debashis Puhan, Daniele Dini
    Abstract:

    Abstract A thrust bearing consisting of an Air Cushion formed within a liquid ring has been developed, which takes advantage of the Laplace pressure induced by the liquid/Air surface tension. As forces induced by Laplace pressure and surface tension scales down much more slowly than gravity and inertial forces, such a bearing has great potential when scaled down to the micro-scale. The liquid ring between the rotor and the stator of the bearing is anchored there by alternating hydrophilic and superhydrophobic patterns. An important discovery is that the performance of this bearing is greatly enhanced by the sealed Cushion of Air within the ring. This Air Cushion and thin liquid ring arrangement mean that the solid/solid contact of the bearing is replaced by solid/Air and solid/liquid contact which significantly reduces the friction and wear. The factors which affects the performance of the bearing have been studied both experimentally and numerically providing results that can be used to optimise the design of this new type of bearing.

A. K. M. Mohiuddin - One of the best experts on this subject based on the ideXlab platform.

  • 1874-155X/09 2009 Bentham Open Open Access Hybrid Electrical Air-Cushion Tracked Vehicle for Swamp Peat in
    2016
    Co-Authors: Ataur Rahman, A. K. M. Mohiuddin, Altab Hossain, Azmi Yahya
    Abstract:

    Abstract: The aim of this paper is to present a hybrid electrical Air-Cushion tracked vehicle (HETAV) for the operation on swamp peat. Mathematical models are incorporated with accounting kinematics and dynamics behaviors of the vehicle. Sinkage of the HETAV is sensed by an ultrasonic displacement (UD) sensor, in order to operate the Air-Cushion system. The Air-Cushion of HETAV is protected with a novel-design auto-adjusting supporting (AAS) system. A propeller is equipped with the vehicle to develop additional thrust for overcoming the dragging motion resistance of the Air-Cushion system. The performance of the HETAV is defined by traction and motion resistance. The mean value of traction for the swamp terrain with propeller over without propeller increases 10.21 % and 6.47 % for the vehicle weight of 1.02 kN and 2.04 kN, respectively. Similarly, it was found that the mean values of vehicle’s motion resistance decrease 12.63 % and 25.81 % for the vehicle weight of 2.45 kN and 3.43 kN, respectively

  • Fuzzy Logic System for Tractive Performance Prediction of an Intelligent Air-Cushion Track Vehicle
    2013
    Co-Authors: A. Hossain, A. Rahman, A. K. M. Mohiuddin, Yulfian Amin
    Abstract:

    Abstract—Fuzzy logic system (FLS) is used in this study to predict the tractive performance in terms of traction force, and motion resistance for an intelligent Air Cushion track vehicle while it operates in the swamp peat. The system is effective to control the intelligent Air –Cushion system with measuring the vehicle traction force (TF), motion resistance (MR), Cushion clearance height (CH) and Cushion pressure (CP). Ultrasonic displacement sensor, pull-in solenoid electromagnetic switch, pressure control sensor, micro controller, and battery pH sensor are incorporated with the Fuzzy logic system to investigate experimentally the TF, MR, CH, and CP. In this study, a comparison for tractive performance of an intelligent Air Cushion track vehicle has been performed with the results obtained from the predicted values of FLS and experimental actual values. The mean relative error of actual and predicted values from the FLS model on traction force, and total motion resistance are found as 5.58 %, and 6.78 % respectively. For all parameters, the relative error of predicted values are found to be less than the acceptable limits. The goodness of fit of the prediction values from the FLS model on TF, and MR are found as 0.90, and 0.98 respectively. Keywords—Cushion pressure, Fuzzy logic, Motion resistance, Traction force

  • fuzzy evaluation for an intelligent Air Cushion tracked vehicle performance investigation
    Journal of Terramechanics, 2012
    Co-Authors: Altab Hossain, Ataur Rahman, A. K. M. Mohiuddin
    Abstract:

    This paper presents the fuzzy logic expert system (FLES) for an intelligent Air-Cushion tracked vehicle performance investigation operating on swamp peat terrain. Compared with traditional logic model, fuzzy logic is more efficient in linking the multiple units to a single output and is invaluable supplements to classical hard computing techniques. Therefore, the main purpose of this study is to investigate the relationship between vehicle working parameters and performance characteristics, and to evaluate how fuzzy logic expert system plays an important role in prediction of vehicle performance. Experimental values are taken in the swamp peat terrain for vehicle performance investigation. In this paper, a fuzzy logic expert system model, based on Mamdani approach, is developed to predict the tractive efficiency and power consumption. Verification of the developed fuzzy logic model is carried out through various numerical error criteria. For all parameters, the relative error of predicted values are found to be less than the acceptable limits (10%) and goodness of fit of the predicted values are found to be close to 1.0 as expected and hence shows the good performance of the developed system.

  • integrated mechanics of hybrid electrical Air Cushion tracked vehicle for swamp peat
    International Journal of Heavy Vehicle Systems, 2011
    Co-Authors: Ataur Rahman, A. K. M. Mohiuddin, Altab Hossain, Ahmed Faris Ismail, Azmi Yahya
    Abstract:

    This paper presents an integrated mechanics for the design of hybrid electrical Air-Cushion tracked vehicle. The Air-Cushion of HETAV is protected with a novel-design Air-Cushion supporting system which can adjust automatically. A propeller is installed on the vehicle to develop additional thrust for overcoming the dragging motion resistance of the Air-Cushion system. The mean values of traction for the vehicle with propeller compared with no propeller increased 10.21% and 6.47% for the vehicle weight of 2.45 kN and 3.43 kN, respectively. Similarly, it was found that the mean values of vehicle’s motion resistance decreases 12.63% and 25.81% for the vehicle weight of 2.45 kN and 3.43 kN, respectively.

  • Cushion pressure control system for an intelligent Air-Cushion track vehicle
    Journal of Mechanical Science and Technology, 2011
    Co-Authors: A. Hossain, A. Rahman, A. K. M. Mohiuddin
    Abstract:

    This paper presents the control system of Cushion pressure for the developed intelligent Air-Cushion track vehicle (IACTV) for operating on swamp terrain and wet fields. A novel auto-adjusting supporting system is designed for the vehicle’s intelligent Air-Cushion system. Focusing on minimizing the total power demand of the vehicle, an optimization model has been established, for examining the effects of vehicle parameters and load distribution on power consumption by controlling Air-Cushion pressure. Then optimum Cushion pressure is determined based on the developed optimum pressure — sinkage relationship and the pressure in the Cushion chamber is controlled by the Fuzzy controller by maintaining volume flow rate and continuously monitored by the pressure sensor attached with the Cushion chamber. The ultrasonic displacement sensor is used to measure the sinkage of the vehicle. The output voltages of the ultrasonic displacement are used to operate the pull-in solenoid switch through the microcontroller which closes the circuit of the compressor motor. Distribution of vehicle load to the Air-Cushion system is controlled by Fuzzy Logic controller by maintaining the inside pressure of the Cushion.