A Method for Designing and Optimizing Force Balanced Constant Spring Hangers with MATLAB Language and Environment

2010 ◽  
Vol 458 ◽  
pp. 337-343
Author(s):  
C. Su ◽  
Z.R. Zhang ◽  
A. Li
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimal Design ◽  
Tool Design ◽  
Mechanics Model ◽  
Working Principle ◽  
Curve Equation

A mechanics model for force balanced constant spring hangers is put forward. Then from the working principle of constant hanger，the curve equation of knife cams is induced. The curve equation is solved and the curves of cams are also plotted with MATLAB. The main spring mathematical model of optimal design is established. Parameters of the main spring are optimized with the MATLAB genetic algorithm tool. Design force b

scholarly journals A Mathematical Model of a Piezo-Resistive Eight-Beam Three-Axis Accelerometer with Simulation and Experimental Validation

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3641 ◽  
Author(s):  
Jinlong Song ◽  
Changde He ◽  
Renxin Wang ◽  
Chenyang Xue ◽  
Wendong Zhang
Keyword(s):  
Mathematical Model ◽  
Finite Element Method ◽  
Finite Element ◽  
Optimal Design ◽  
Experimental Validation ◽  
Fem Simulation ◽  
Normal Direction ◽  
Fem Model ◽  
Working Principle ◽  
The Mathematical Model

A mathematical model of a sensor is vital to deeply comprehend its working principle and implement its optimal design. However, mathematical models of piezo-resistive eight-beam three-axis accelerometers have rarely been reported. Furthermore, those works are largely focused on the analysis of sensing acceleration in the normal direction, rather than in three directions. Therefore, a complete mathematical model of a piezo-resistive eight-beam three-axis accelerometer is developed in this paper. The validity of the mathematical model is proved by a Finite Element Method (FEM) simulation. Furthermore, the accelerometer is fabricated and tested. The prime sensitivities of X, Y and Z axes are 0.209 mV/g, 0.212 mV/g and 1.247 mV/g at 160 Hz, respectively, which is in accord with the values obtained by the model. The reason why the prime sensitivity SZZ is bigger than SXX and SYY is explained. Besides, it is also demonstrated why the cross-sensitivities SXZ and SYZ exceed SZX and SZY. Compared with the FEM model, the developed model could be helpful in evaluating the performance of three-axis accelerometers in an accurate and rapid way.

Method of Holes Machining Path Optimization for NC Turret Punch Press

2013 ◽  
Vol 842 ◽  
pp. 553-557
Author(s):  
Pei Si Zhong ◽  
Ying Jing Yu ◽  
Hai Liang Xin ◽  
Zhen Guo Lu
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimization Algorithm ◽  
Optimization Methods ◽  
Path Optimization ◽  
Distance Method ◽  
Basic Composition ◽  
Different Types ◽  
Working Principle ◽  
Punch Press

The basic composition and working principle of the turret punch press were analyzed, the recent distance method and genetic algorithm optimize method of holes machining path of NC turret punch press was put forward, the corresponding mathematical model and optimization algorithm was respectively given, these two kinds of optimization methods aiming at different types of holes are compared with the examples, put forward a kind of the integrated holes machining path optimization.

Optimal Design of Steering Geometry Using Genetic Algorithm Based on Binomial Weight Function

2013 ◽  
Vol 850-851 ◽  
pp. 363-367
Author(s):  
Jin Hai Wang ◽  
Jian Wei Yang ◽  
Wan He Zhu
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Optimal Design ◽  
Weight Function ◽  
Target Function ◽  
Absolute Error ◽  
Function Model ◽  
Steering Angle ◽  
Design Variables ◽  
Angle Of Rotation

For integral steering geometry, its spatial structure rationally is simplified. Based on it, mathematical model of integral front steering geometry that is similar with the reality of elastic tires is built. For ensuring design variables, the target function model is established by the inner wheel steering angle of rotation absolute error and binomial weight function. And the problem is optimized using the Genetic Algorithm in MATLAB. Finally, optimization algorithm is verified by a real example of optimization of econopower car.

Research on cargo-loading optimization based on genetic and fuzzy integration

2021 ◽  
Vol 40 (4) ◽  
pp. 8493-8500
Author(s):  
Yanwei Du ◽  
Feng Chen ◽  
Xiaoyi Fan ◽  
Lei Zhang ◽  
Henggang Liang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Three Dimensional ◽  
Distribution Center ◽  
Long Time ◽  
Low Efficiency ◽  
Decision Making Model ◽  
The Mathematical Model ◽  
Loading Scheme

With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy.

Optimal design and mathematical model applied to establish bioassay programs

2006 ◽  
Vol 123 (4) ◽  
pp. 457-463 ◽  
Author(s):  
G. Sánchez ◽  
J. M. Rodríguez-Díaz
Keyword(s):  
Mathematical Model ◽  
Optimal Design
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