scholarly journals Multi-Parameter Optimization for the Wet Steam Accumulator of a Steam-Powered Catapult

Energies ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 234 ◽  
Author(s):  
Qidan Zhu ◽  
Peng Lu ◽  
Zhibo Yang ◽  
Xun Ji ◽  
Yu Han
Keyword(s):  
Mathematical Model ◽  
Angle Of Attack ◽  
Parameters Optimization ◽  
Power Stroke ◽  
Optimal Parameters ◽  
Multi Objective Optimization ◽  
Wet Steam ◽  
Dynamics Model ◽  
Release Device ◽  
Steam Accumulator

Selecting the optimal parameters for wet steam accumulator of steam-powered catapult is an important task, due to launching safety. There is no literature on the topic of the parameters optimization for wet steam accumulator of steam-powered catapult. The genetic algorithm (GA) was used to determine the optimal wet steam accumulator in this article. The sink-off-the-bow (SOB), angle of attack and rate of climb were used to create the objective function. The multi-objective optimization can be converted to single-objective optimization, which is subject to angle of attack and rate of climb. Moreover, the simulation model of the steam catapult system was built by creating a thermodynamics model of steam-powered catapult, a mathematical model of traction release device, a statics model of tensioning, a statics model of full takeoff power, a mathematical model of catapult force build-up with holdback, a model of release, a dynamics model of power stroke, a dynamics model of free deck run and a dynamics model of fly away. Finally, the optimal combination of the wet steam accumulator was obtained via numerical simulation. The GA method can effectively find the optimal parameters of wet steam accumulator, and its optimized parameters can increase the safety of catapult launch process.

Optimization Calculation of Javelin Throwing Results

2014 ◽  
Vol 716-717 ◽  
pp. 764-766
Author(s):  
Min Jiang ◽  
Ji He Zhou
Keyword(s):  
Mathematical Model ◽  
Wind Tunnel ◽  
Initial Velocity ◽  
Angle Of Attack ◽  
Wind Tunnel Experiment ◽  
Aerodynamic Efficiency ◽  
Optimization Calculation ◽  
Computer Optimization ◽  
Necessary And Sufficient

On the basis of javelin wind tunnel experiment, we established mathematical model of javelin flight to conduct a computer optimization and got the conclusions. When the initial velocity is in the range of 25m/s-30m/s, the best throwing condition is: the throwing angle is 40°, the angle of attack is 11°. The javelin throwing condition is not zero angle of attack was necessary and sufficient for obtained aerodynamic efficiency.

scholarly journals Speeding-up the Fitting of the Model Defining the Ribs-bounded Contour

2017 ◽  
Vol 21 (1) ◽  
pp. 66-70
Author(s):  
Mykolas J. Bilinskas ◽  
Gintautas Dzemyda ◽  
Martynas Sabaliauskas
Keyword(s):  
Mathematical Model ◽  
Local Search ◽  
Computer Tomography ◽  
Vertical Axis ◽  
Newton Methods ◽  
Optimal Parameters ◽  
Analytical Derivatives ◽  
The Mathematical Model ◽  
Quasi Newton ◽  
Derivatives Of

Abstract The method for analysing transversal plane images from computer tomography scans is considered in the paper. This method allows not only approximating ribs-bounded contour but also evaluating patient rotation around the vertical axis during a scan. In this method, a mathematical model describing the ribs-bounded contour was created and the problem of approximation has been solved by finding the optimal parameters of the mathematical model using least-squares-type objective function. The local search has been per-formed using local descent by quasi-Newton methods. The benefits of analytical derivatives of the function are disclosed in the paper.

Design and multi-objective optimization of magnetorheological damper considering vehicle riding comfort and operation stability

2021 ◽  
pp. 1045389X2110482
Author(s):  
Zhaoxue Deng ◽  
Xinxin Wei ◽  
Xingquan Li ◽  
Shuen Zhao ◽  
Sunke Zhu
Keyword(s):  
Time Domain ◽  
Vehicle Dynamics ◽  
Mr Damper ◽  
Structure Parameters ◽  
Multi Objective Optimization ◽  
Dynamics Model ◽  
Damping Force ◽  
Domain Optimization ◽  
Operation Stability ◽  
The Time Domain

Mostly, magnetorheological (MR) dampers were optimized based on individual performance, without considering the influence of structure parameters change on vehicle performance. Therefore, a multi-objective optimization scheme of MR damper based on vehicle dynamics model was proposed. The finite element method was used to analyze magnetic flux density distribution in tapered damping channel under different structure parameters. Furthermore, the damping force expression of the tapered flow mode MR damper was derived, and the damping force was introduced into the vehicle dynamics model. In order to improve the ride comfort and operation stability of the vehicle, a collaborative optimization platform combining magnetic circuit finite element analysis and vehicle dynamics model was established. Based on this platform, the optimal design variables were determined by comfort and stability sensitivity analysis. The time domain optimization objective and frequency domain optimization objective are proposed simultaneously to overcome the lack of time domain optimization objective. The results show that compared with the time domain optimization and the initial design, the suspension dynamic deflection, tire dynamic load and vehicle body vertical acceleration are decreased after the time-frequency optimization. At the same time, in the frequency domain, the amplitude of vibration acceleration in each working condition is significantly reduced.

Mathematical model of a robotized assembly in the presence of vibrations and gripper rotation

2020 ◽  
pp. 299-304
Author(s):  
M.V. Vartanov ◽  
Trung Ta Tran
Keyword(s):  
Mathematical Model ◽  
Friction Force ◽  
Rotational Motion ◽  
Robotic Assembly ◽  
Assembly Process ◽  
Dynamics Model ◽  
Assembly Method ◽  
Robot Gripper

The assembly method using the effect of rotational motion and vibration is considered. The presence of rotation allows to signifi cantly reducing the friction force in connection, which prevents the assembly process. The effect is achieved due to using the rotation of robot gripper and the vibrating device. A mathematical dynamics model of the robotic assembly process is presented

Optimal Design of a Six-Bar Linkage for an Anthropomorphic Three-Jointed Finger Mechanism

1992 ◽  
Author(s):  
Jichuan Zhang ◽  
Gongliang Guo ◽  
William A. Gruver
Keyword(s):  
Mathematical Model ◽  
Nonlinear Programming ◽  
Optimal Design ◽  
Transmission Efficiency ◽  
Degree Of Freedom ◽  
Optimal Parameters ◽  
Joint Friction ◽  
Robotic Devices ◽  
End Effectors ◽  
Human Finger

Abstract We treat the design of a three-jointed, anthropomorphic, finger mechanism for prostheses and robotic end-effectors. Based on the study of configurations for the human finger, we propose a six-bar linkage with one degree of freedom for the finger mechanism. A model of the fingertip displacement of the mechanism is derived by a vector analysis approach. We study the effects of joint friction on the transmission efficiency. By measuring the joint positions of a human finger, we develop a mathematical model of the pinching and holding configurations for the human finger. Optimal parameters for the finger mechanism are obtained by nonlinear programming based on motion posture, locus, transmission efficiency, and weight subject to geometric and bionic constraints. Simulations indicate that the mechanism is useful in a variety of prosthetic and robotic devices.

Application of Genetic Algorithm in Cutting Parameter Optimization

2014 ◽  
Vol 1082 ◽  
pp. 138-142
Author(s):  
Li Feng Zhu ◽  
Yan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Parameter Optimization ◽  
Cutting Parameters ◽  
Parameters Optimization ◽  
Numerical Control ◽  
Numerical Control Machining ◽  
Factors Affecting ◽  
Cutting Parameter ◽  
Cutting Parameter Optimization

Process parameters optimization is an important problem in numerical control machining, through the analysis of various factors affecting the cutting effect in cutting process, a mathematical model of cutting parameter optimization in NC machining is established and the constraint conditions are also determined in the paper. The article puts forward using genetic algorithm to realize the optimization of mathematical model, and the optimization analysis results are verified in practical processing. The experimental results show that the optimized cutting parameters can satisfy machining requests and improve the cutting efficiency.

scholarly journals Wireless Sensor Network Route Optimization Based on Improved Ant Colony-Genetic

2015 ◽  
Vol 11 (9) ◽  
pp. 4 ◽  
Author(s):  
Wei Liu ◽  
Yongfeng Cui ◽  
Zhongyuan Zhao
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Optimization Problem ◽  
Ant Colony ◽  
Route Optimization ◽  
Wireless Sensor ◽  
Multi Objective Optimization ◽  
Mutation Operation

The objective of this paper is focuses on route optimization, for a given wireless sensor network. We detail the significance of route optimization problem and the corresponding mathematical model. After analyzing the complex multi-objective optimization problem, Ant Colony Optimization (ACO) algorithm was introduced to search the best route. Inspired by Genetic Algorithm (GA), we embed two operations into ACO to refine it. First, every ant after achieving sink will be regarded as an individual such as that in GA. The crossover operation will be applied and then, the generated new ants will replace the weaker parents. Second, we designed a mutation operation for ants selecting next nodes to visit. Experimental results demonstrate that the proposed combination algorithm has significant enhancements than both GA and ACO. The lifetime of WSN can be extended and the coverage speed can be accelerated.

Study on Parameters Optimization of Ceramic Machining Process

2011 ◽  
Vol 418-420 ◽  
pp. 1338-1341
Author(s):  
Qiang Wang ◽  
Ying Ying Zeng ◽  
Xu Guang Min
Keyword(s):  
High Efficiency ◽  
Low Cost ◽  
Cutting Speed ◽  
Tool Material ◽  
Parameters Optimization ◽  
Machining Process ◽  
Impact Factors ◽  
Surface Model ◽  
Optimal Parameters ◽  
Ceramic Machining

The response surface model is established through application of surface response method, then the main impact factors of ceramic machining are determined, and the process parameters are optimized. The mechanical machining technology of ceramic materials is analyzed, and the corresponding optimal parameters are proposed by cutting tool material, rake angle, clearance angle and edge angle, and three cutting elements as cutting speed, cutting depth and feed. Accord to the optimal parameters, high efficiency, good quality and low cost results can be achieved to machine ceramic parts.

scholarly journals Development of a GA-Fuzzy-Immune PID Controller with Incomplete Derivation for Robot Dexterous Hand

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Xin-hua Liu ◽  
Xiao-hu Chen ◽  
Xian-hua Zheng ◽  
Sheng-peng Li ◽  
Zhong-bin Wang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Pid Controller ◽  
Fuzzy Inference ◽  
Controller Design ◽  
Index Finger ◽  
Parameters Optimization ◽  
Immune Mechanism ◽  
Dexterous Hand ◽  
Incomplete Derivation

In order to improve the performance of robot dexterous hand, a controller based on GA-fuzzy-immune PID was designed. The control system of a robot dexterous hand and mathematical model of an index finger were presented. Moreover, immune mechanism was applied to the controller design and an improved approach through integration of GA and fuzzy inference was proposed to realize parameters’ optimization. Finally, a simulation example was provided and the designed controller was proved ideal.

Mathematical Model for Allocating Operations by Flow-Line Conveyor System Work Stations

10.12737/4885 ◽  
2014 ◽  
Vol 3 (1) ◽  
pp. 4-6
Author(s):  
Буриков ◽  
Alyeksandr Burikov
Keyword(s):  
Mathematical Model ◽  
Optimal Allocation ◽  
Flow Line ◽  
Parameters Optimization ◽  
Design Flow ◽  
Programming Models ◽  
Conveyor System ◽  
Extremum Problems ◽  
Discrete Programming

The problem of optimal allocation of jobs by work stations of flow-line conveyor system boils down to a class of extremum problems, which, in turn, can be narrowed down to discrete programming models. The paper offers a mathematical model designed to allocate operations for manufacturing certain product by flow-line conveyor work stations. The model is built with due regard to operations procedure limitations and can be used to design flow-line conveyor system for the purpose of parameters optimization.

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