scholarly journals Parameter optimization of the not fully accessible system of the hub airport service based on a simulation model with a fuzzy regulator

2019 ◽  
Vol 537 ◽  
pp. 042012 ◽  
Author(s):  
E D Guzha ◽  
T V Khvostova ◽  
V A Romanenko ◽  
M A Skorohod
Keyword(s):  
Simulation Model ◽  
Parameter Optimization ◽  
Fuzzy Regulator ◽  
Hub Airport

Numerical Simulation and Parameter Optimization of Cam’s Fine Blanking Process

2011 ◽  
Vol 396-398 ◽  
pp. 134-139
Author(s):  
An Long ◽  
Rui Ge ◽  
Yi Sheng Zhang ◽  
Li Bo Pan
Keyword(s):  
Numerical Simulation ◽  
Simulation Model ◽  
Parameter Optimization ◽  
Processing Parameters ◽  
Forming Process ◽  
Fine Blanking ◽  
3D Software ◽  
Blanking Process ◽  
Deform 3D

To conclude the mechanics of fine blanking, the numerical simulation model of a cam’s fine blanking process was established, the forming process was simulated by DEFORM-3D software, the deform principle was summarized. Then the effect of three key processing parameters such as gap between punch and die, pressure-pad-force/counter force, serrated ring postion to fine blanking quality were researched, optimized parameters in fine blanking were gained.

Parameter Optimization of Kanban Production System for an Engine Assembly Workshop Based on Witness

2011 ◽  
Vol 382 ◽  
pp. 252-255
Author(s):  
Yan Xiao ◽  
Yun Yun Li ◽  
Kang Qu Zhou
Keyword(s):  
Empirical Study ◽  
Simulation Model ◽  
Safety Factor ◽  
Parameter Optimization ◽  
Coefficient Of Variation ◽  
Production System ◽  
Basic Theory ◽  
Assembly Shop ◽  
The Impact

To kanban production system of a engine assembly shop as the empirical study, the simulation model of the Kanban production system about designing, running and optimizing are elaborated, which is on the basis of understanding basic theory of Kanban production system. More importantly, using optimization, researched further the effects of different value of safety factor and coefficient of variation of Kanban production system on the impact of the results, and determined the optimal combined scheme.

scholarly journals Investigation on the design of hydraulic high-speed punching press with a large press force and a long press stroke

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668360 ◽  
Author(s):  
Wei Song ◽  
Shuo Liu ◽  
Hongjun Pan ◽  
Shiqiang Zhu
Keyword(s):  
Simulation Model ◽  
Parameter Optimization ◽  
High Speed ◽  
Production Efficiency ◽  
Operating Principle ◽  
Automatic Production ◽  
Manufacture Industry ◽  
Vibration Technology ◽  
Large Press

High-speed punching presses are widely applied in modern manufacture industry, especially in occasions of automatic production with a large or a super large quality. To obtain a better production efficiency and a wilder application in industries, it is meaningful to develop the high-speed punching presses with a large press force and a long press stroke. Considering the limitations of mechanical and servo high-speed punching presses, hydraulic technology is the most possible way to develop the high-speed punching press with a large press force and a long press stroke so far. This article has proposed a hydraulic operating principle based on the hydraulic vibration technology for the development of the high-speed punching press with a press force of 1250 kN, a press stroke of 50 mm, and a press velocity of 1000 hpm. With a simulation model built under the AMESim environment, performances of the system are obtained and analyzed. Then, parameter optimization is also carried out and discussed. Finally, the operating principle and the parameters are refined. The obtained results have proved that the design meets the aimed performances of the high-speed punching press.

scholarly journals Simulation Optimization for Complex Multi-Domain Physical Systems Based on Partial Resolving

Processes ◽  
2019 ◽  
Vol 7 (6) ◽  
pp. 334
Author(s):  
Kexi Hou ◽  
Yaohui Li
Keyword(s):  
Simulation Model ◽  
Parameter Optimization ◽  
Iterative Process ◽  
Simulation Optimization ◽  
Differential Algebraic Equations ◽  
Optimization Process ◽  
Algebraic Equations ◽  
Objective Functions ◽  
Complex Simulation ◽  
Solving Strategy

The iterative process of simulation optimization is a time-consuming task, as it involves executing the main simulation program in order to evaluate the optimal constraints and objective functions repeatedly according to the values of tuner parameters. Parameter optimization for a model of a multi-domain physical system based on Modelica is a typical simulation optimization problem. Traditionally, each simulation during each iterative step needs resolve all the variables in all the mass differential-algebraic equations (DAE) generated from the simulation model through constructing and traversing the solving dependency graph of the model. In order to improve the efficiency of the simulation optimization process, a new method named partial simulation resolving algorithm based on the set of input parameters and output variables for complex simulation model was proposed. By using this algorithm, a minimum solving graph (MSG) of the simulation model was built according to the set of parameters, constraints, and objective functions of the optimization model. The simulation during the optimization iterative process needs only to resolve the variables on the MSG, and therefore this method could decrease the simulation time greatly during every iterative step of the optimization process. As an example, the parameter optimization on economy of fuel for a heavy truck was realized to demonstrate the efficiency of this solving strategy. This method has been implemented in MWorks—a Modelica-based simulation platform.

scholarly journals TWO-MASS ELECTROMECHANICAL SYSTEM WITH A FUZZY REGULATOR / DVIMASĖ ELEKTROMECHANINĖ SISTEMA SU NERAIŠKIOSIOS LOGIKOS REGULIATORIUMI

2012 ◽  
Vol 4 (1) ◽  
pp. 43-46
Author(s):  
Jonas Kriaučiūnas ◽  
Sigitas Juraitis
Keyword(s):  
Fuzzy Logic ◽  
Simulation Model ◽  
Computer Model ◽  
Fuzzy Logic Controller ◽  
Mass System ◽  
System A ◽  
Speed Error ◽  
Drive Speed ◽  
Fuzzy Regulator ◽  
Takagi Sugeno

The paper presents a two-mass system with a finite stiffness and fuzzy logic controller with feedback signals proportional to speed error and its derivative. Solutions to improve the dynamics of the two-mass system were considered. The paper deals with some essential benefits of a fuzzy logic controller to control the drive speed of the induction motor of the two-mass system. A computer model of the two-mass system with Takagi-Sugeno fuzzy type controller is presented. The simulation model and results of the controlled two-mass system are discussed. The transients of the system with different reference speed are introduced. Santrauka Nagrinėjama dvimasė elektromechaninė sistema, kurioje yra galinčių deformuotis grandžių. Dalys, turinčios standumo, sukelia nepageidaujamus virpesius ir švytavimus, todėl būtina ieškoti sprendimų, kaip sumažinti jų įtaką sistemai. Sudarytas uždarosios dvimasės sistemos su neraiškiosios logikos reguliatoriumi Simulink modelis. Variklio modelis sudarytas sinchroniniu greičiu besisukančioje koordinačių sistemoje. Atliktas dvimasės elektromechaninės sistemos imitavimas esant skirtingoms greičio nuostatoms. Pateikti sistemos paleidimo proceso imitacijos rezultatai rodo, kad neraiškiosios logikos reguliatorius sumažina tiek variklio, tiek antrosios masės greičio švytavimus.

Novel simulation model for many-body multipole dispersion interactions

1998 ◽  
Vol 94 (3) ◽  
pp. 417-433 ◽  
Author(s):  
MARTIN VAN DER HOEF ◽  
PAUL MADDEN
Keyword(s):  
Simulation Model ◽  
Dispersion Interactions ◽  
Many Body
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