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Results show that the hydraulic resistance is significantly reduced in the proposed four ports actuators; and the proposed cylinders run faster than the conventional cylinders and a considerable amount of energyis saved as well. Key words: Computational Hydraulic, Energy Efficient Actuators, Energy Saving in Hydraulic, Hydraulic Control Reference  P. However, no computer can process the near infinite number of atoms in objects, so instead we model 'finite' groups of them. In the real world, everything that occurs results from the interaction between atoms (and sub-particles of those atoms). If we were to simulate the world in a computer, we would have to simulate this interaction based on the simple laws of physics. Domenico Prattichizzo,, and Antonio Bicchi,"Dynamic "Analysis of Mobility and Graspability of General Manipulation Systems" IEEE transactions on robotics and automation, vol. This paper presents a review of PSO application in Economic Load Dispatch problems. IJERA MENU CALL FOR PAPER PAPER SUBMISSION WHY CHOOSE IJERA AUTHOR INSTRUCTIONS STATISTICS UNIVERSITY AFFILIATES CHECK PAPER STATUS FAQ IJERA CONTENTS CURRENT ISSUE IJERA ARCHIVE SPECIAL ISSUE CALL FOR CONFERENCE UPCOMING CONFERENCE SPECIAL ISSUE ARCHIVE DOWNLOADS MODEL PAPER COPY RIGHT FORM COPYRIGHT INFRINGEMENT JOURNAL ETHICS OPEN ACCESS OPEN ACCESS Abstract: Hydraulic cylinder actuators are used extensively in industrial, construction and agricultural works. Palmberg, "Separate controls of meter-in and meter-out orifices in mobile hydraulic systems," SAE transactions, vol.
Abstract: Analysis of the robot hand was analyzed using dedicated software for FEM analysis. in ANSYS, the geometry was updated and the structure meshed using 3D elements. Economic Load Dispatch(ELD) is one of important tasks which provide an economic condition for a power system.
Krus, "On Load Sensing Fluid Power Systems," Division of Fluid Power Control Department of Mechanical Engineering, Linkoping University, Sweden, 1988.
Palmberg, "Hydraulic transformers-comparison of different designs," 2004.
Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .
Yuhui Shi and Russell Eberhart "A modified particle swarm optimizer" 0- 7803-4869-9198 0.0001998 IEEE.