Selection of optimal composition of MR fluid for a brake designed using MOGA optimization coupled with magnetic FEA analysis

2020 ◽  
pp. 1045389X2097790
Author(s):  
Subash Acharya ◽  
Tak Radhe Shyam Saini ◽  
Vishal Sundaram ◽  
Hemantha Kumar
Keyword(s):  
Optimization Technique ◽  
Optimal Composition ◽  
Sedimentation Stability ◽  
Mr Fluid ◽  
Base Oil ◽  
Multi Objective Genetic Algorithm ◽  
Brake Application ◽  
Braking Torque ◽  
Braking Process ◽  
Selection Of

The design of Magnetorheological (MR) brake and the composition of MR fluid (MRF) used in it have a significant effect on its performance and hence an effort has been made in this study to determine the optimal dimensions of MR brake and composition of MRF suitable for the brake application. Initially, optimum parameters of MR brake were computed considering the properties of commercially available MRF 132DG fluid using multi-objective genetic algorithm (MOGA) optimization. This was performed in MATLAB software coupled with magnetostatic analyses in ANSYS APDL software. The braking torque of designed MR brake utilizing MRF 132DG fluid was experimentally determined and validated with analytical ones. Further, selection of optimal composition of MRF was done considering In-house MRF samples composed of different combinations of particle mass fractions, mean particle diameters and base oil viscosities. A design of experiments (DOE) technique was employed and braking torque corresponding to the synthesized MRF samples at different speeds and current supplied were measured along with the variation of shaft speed during braking process. Grounded on the experimental results, using MOGA optimization technique, MRF composed of smaller sized iron particles (2.91 microns) with mass fraction of 80.95% and lower viscosity base oil (50 cSt) was selected as optimal composition of MRF for use in MR brake. Maximization of field induced braking torque and minimization of off-state torque were chosen as the objective functions for both the optimal design of MR brake and selection of optimal composition of MRF. Finally, the sedimentation stability of MRFs were investigated.

Preparation of MR Fluid and Modeling of Magneto Rheological Fluid Brake (MRB)

2014 ◽  
Vol 592-594 ◽  
pp. 2254-2260
Author(s):  
J. Thanikachalam ◽  
G.S. Jinu ◽  
P. Nagaraj
Keyword(s):  
Design Procedure ◽  
Element Analysis ◽  
Mr Fluid ◽  
Mechanical Parts ◽  
Smart Fluids ◽  
Working Medium ◽  
Braking Torque ◽  
Magneto Rheological ◽  
Wire System ◽  
Selection Of

Magneto-rheological fluids are smart fluids displaying flow properties that can be adjusted by the introduction of magnetic fields. Conventional brakes require complex mechanical parts to dissipate energy, they are having more weight, produce less braking torque and the time of response is about 300-500 milliseconds and hence brake distance is high. A Magneto-rheological fluid brake is efficient than conventional braking system in terms of the weight reduction, and response time. In this paper MR fluid is prepard and an improved MRB design is made, taking into account the temperature effects and more accurate description of the material properties as well. The proposed work is concerned with the development of a new Brake-by-wire system which employs MRF as working medium. The design procedure comprises the selection of materials for MRB, creating an analytical model for finding the braking torque produced by the MRB and Finite Element Analysis of the MRB.

Generative Adversarial Networks (GANs)

2021 ◽  
Vol 54 (3) ◽  
pp. 1-42
Author(s):  
Divya Saxena ◽  
Jiannong Cao
Keyword(s):  
Optimization Technique ◽  
Generative Models ◽  
Generative Adversarial Networks ◽  
Network Architectures ◽  
Research Directions ◽  
Research Issues ◽  
Design And Optimization ◽  
Adversarial Networks ◽  
Comprehensive Survey ◽  
Selection Of

Generative Adversarial Networks (GANs) is a novel class of deep generative models that has recently gained significant attention. GANs learn complex and high-dimensional distributions implicitly over images, audio, and data. However, there exist major challenges in training of GANs, i.e., mode collapse, non-convergence, and instability, due to inappropriate design of network architectre, use of objective function, and selection of optimization algorithm. Recently, to address these challenges, several solutions for better design and optimization of GANs have been investigated based on techniques of re-engineered network architectures, new objective functions, and alternative optimization algorithms. To the best of our knowledge, there is no existing survey that has particularly focused on the broad and systematic developments of these solutions. In this study, we perform a comprehensive survey of the advancements in GANs design and optimization solutions proposed to handle GANs challenges. We first identify key research issues within each design and optimization technique and then propose a new taxonomy to structure solutions by key research issues. In accordance with the taxonomy, we provide a detailed discussion on different GANs variants proposed within each solution and their relationships. Finally, based on the insights gained, we present promising research directions in this rapidly growing field.

Design and experiment of a new structure of MR damper for improving and self-monitoring the sedimentation stability of MR fluid

2020 ◽  
Vol 29 (7) ◽  
pp. 075019
Author(s):  
Hui Huang ◽  
Chen Chen ◽  
Zhi-Chao Zhang ◽  
Ji-Nan Zheng ◽  
Yu-Zheng Li ◽  
...  
Keyword(s):  
Mr Damper ◽  
Sedimentation Stability ◽  
Mr Fluid ◽  
Self Monitoring

Experimental studies on magnetorheological brake containing plane, holed and slotted discs

2017 ◽  
Vol 69 (2) ◽  
pp. 116-122 ◽  
Author(s):  
Chiranjit Sarkar ◽  
Harish Hirani
Keyword(s):  
Experimental Studies ◽  
State Condition ◽  
Frictional Torque ◽  
Iron Particles ◽  
Low Friction ◽  
Mr Fluid ◽  
Content Type ◽  
Shear Rates ◽  
Mr Fluids ◽  
Braking Torque

Purpose This study aims to design an ideal magnetorheological (MR) brake that exerts negligible frictional torque in the off-state condition and controllable frictional torque in the on-state condition. Design/methodology/approach Silicone-based MR fluid, containing 9 per cent volume carbonyl iron particles, has been synthesized and used. The synthesized MR fluid is advantageous in maintaining low friction losses in off-state conditions. A magneto-rheometer has been utilized to characterize the off-state viscosity of the MR fluid at variable shear rates and shear stress of MR fluids at various magnetic fields. A mechanism to enhance the braking torque in the on-state condition has been designed and developed. An experimental test rig has been developed to capture the torque characteristics of the developed MR brakes. Three different designs of MR discs have been experimented under a magnetic field varying from 0 to 375 kA/m. Experimental results of braking torque under shear and compression modes have been presented. Findings Slotted disc MR brake gives much better torque performance. Originality/value The braking torque results motivate to use the slotted disc MR brake for high torque application.

scholarly journals Genetic Algorithm Applied to Multi-Criteria Selection of Thermal Insulation on Industrial Shed Roof

Buildings ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 238 ◽  
Author(s):  
Stamoulis ◽  
Santos ◽  
Lenz ◽  
Tusset
Keyword(s):  
Genetic Algorithm ◽  
Thermal Comfort ◽  
Thermal Insulation ◽  
Optimization Technique ◽  
Building Envelope ◽  
Expanded Polystyrene ◽  
Insulation Material ◽  
Clothing Insulation ◽  
Climate Conditions ◽  
Selection Of

The rational use of energy has motivated research on improving the energy efficiency of buildings, which are responsible for a large share of world consumption. A strategy to achieve this goal is the application of optimized thermal insulation on a building envelope to avoid thermal exchanges with the external environment, reducing the use of heating, ventilation and air-conditioning (HVAC) systems. In order to contribute to the best choice of insulation applied to an industrial shed roof, this study aims to provide an optimization tool to assist this process. Beyond the thermal comfort and cost of the insulation, some hygrothermic properties also have been analysed to obtain the best insulation option. To implement this optimization technique, several thermo-energetic simulations of an industrial shed were performed using the Domus software, applying 4 types of insulation material (polyurethane, expanded polystyrene, rockwool and glass wool) on the roof. Ten thicknesses ranging from 0.5 cm to 5 cm were considered, with the purpose of obtaining different thermal comfort indexes (PPD, predicted percentage dissatisfied). Posteriorly, the best insulation ranking has been obtained from the weights assigned to the parameters in the objective function, using the technique of the genetic algorithm (GA) applied to multi-criteria selection. The optimization results showed that polyurethane (PU) insulation, applied with a thickness of 1 cm was the best option for the roof, considering the building functional parameters, occupant metabolic activity, clothing insulation and climate conditions. On the other hand, when the Brazilian standard was utilized, rock wool (2 cm) was considered the best choice.

scholarly journals MENENTUKAN KOMPOSISI OPTIMAL DARI FAKTOR-FAKTOR YANG MEMENGARUHI KETAHANAN ASPAL DENGAN METODE TAGUCHI

2013 ◽  
Vol 2 (1) ◽  
pp. 37
Author(s):  
GUSTI AYU PUTU YULIANDARI ◽  
I GUSTI AYU MADE SRINADI ◽  
I WAYAN SUMARJAYA
Keyword(s):  
Body Weight ◽  
Taguchi Method ◽  
Orthogonal Array ◽  
Degrees Of Freedom ◽  
Optimal Composition ◽  
Factorial Method ◽  
Normal Speed ◽  
Full Factorial ◽  
Selection Of

Taguchi method purpose to improve the quality of a product. This method can reduce the number of execution of the experiment when compared to using a full factorial method. measures taken, namely the calculation of degrees of freedom, the selection of orthogonal array to reduce the run, then calculating S/NR is used to determine the optimal composition of the factors that will affect the durability of asphalt. The results of this research that the optimal composition of the factors that affect the resistance of asphalt are aggregate of 6987.57 tons, temperature of 155? C, compaction speed 5 km/h, hardening time for 4 hours after paving before the opening of traffic at normal speed, thickness of 6.27 cm thick bitumen from the aggregate surface, body weight that is weighing 7 ton. Dimensions of factors is an area of ??5.598m.

scholarly journals Intelligent Selection of Machining Parameters in Multipass Turnings Using Firefly Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Abderrahim Belloufi ◽  
Mekki Assas ◽  
Imane Rezgui
Keyword(s):  
Production Cost ◽  
Firefly Algorithm ◽  
Optimization Technique ◽  
Cutting Parameters ◽  
Machining Parameters ◽  
Metal Parts ◽  
Multipass Turning ◽  
Optimal Cutting Parameters ◽  
Selection Of

Determination of optimal cutting parameters is one of the most important elements in any process planning of metal parts. In this paper, a new optimization technique, firefly algorithm, is used for determining the machining parameters in a multipass turning operation model. The objective considered is minimization of production cost under a set of machining constraints. The optimization is carried out using firefly algorithm. An application example is presented and solved to illustrate the effectiveness of the presented algorithm.

Positioning Control of a Human-Machine Cooperative Grafting Manipulator for Unstructured Environments

2020 ◽  
Vol 63 (5) ◽  
pp. 1477-1491
Author(s):  
Na Li ◽  
Ziyan Hao ◽  
Haiyong Jiang ◽  
Bo Yu
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Position Control ◽  
Fruit Trees ◽  
Passive Joint ◽  
Compensation Control ◽  
Unstructured Environments ◽  
Braking Torque ◽  
Braking Process

HighlightsPositioning of a human-machine cooperative grafting manipulator for high-crown grafting of fruit trees is analyzed.PID control based on feedforward compensation of a dynamic model can realize high-precision position control of the braking process in unstructured agricultural environments.A manipulator based on the proposed control method can realize accurate position control and time-varying operating forces and can provide energy savings to meet the requirements of field operations.Abstract. Crown grafting of fruit trees has the disadvantages of high labor intensity and reduced graft survival. Therefore, a human-machine cooperative manipulator that relies on passive joint braking was designed to realize position control. The manipulator can replace manual operations to solve the problem of different positions in the grafting process and provide positioning and force support for canopy grafting. This study determined that the working space of the manipulator can cover the canopy area of fruit trees. Dynamic equations were established for motion simulation and feedforward compensation control of the manipulator. According to the dynamic model, the joint braking process was simulated. The simulation results showed that the joint braking torque needs to be dynamically controlled to ensure positioning accuracy of the manipulator. A process of passive joint braking was designed based on the proposed ideal braking curve. By comparing the position control accuracy of independent proportional integral derivative (PID) control, dynamic model feedforward compensation control, and PID control based on feedforward compensation of the dynamic model in simulations, it was determined that PID control based on feedforward compensation of the dynamic model was suitable for application in the braking torque control system. Finally, prototype tests showed that PID control based on feedforward compensation of the dynamic model can realize high-precision joint braking and position control of the manipulator. The positioning error was less than 5%, and the maximum vibration acceleration amplitude was reduced by 26.7% to 68.5%. The control system of the manipulator, using PID control based on feedforward compensation of the dynamic model, can provide adaptability for unstructured environments and reduce power consumption for application in field operations. Keywords: Controls, Dynamics, Grafting, Positioning, Simulation models, Unstructured agricultural environment.

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