Numerical Analysis and Optimization Design on Critical Parameter of Plane Four-Bar Linkage for a Crusher

2012 ◽  
Vol 220-223 ◽  
pp. 884-890
Author(s):  
Qiu Hong Song ◽  
Yong Mei Ma ◽  
Shou Qi Cao ◽  
Chao Lv ◽  
Jun Li
Keyword(s):  
Numerical Analysis ◽  
Optimization Design ◽  
Critical Parameter ◽  
Simulation Optimization ◽  
Critical Values ◽  
Decisive Factor ◽  
Parameterized Modeling ◽  
Mechanical Products ◽  
Four Bar Linkage

Plane four-bar linkage is widely used in mechanical products; it is a decisive factor to define the characteristics and output of crusher as the key mechanism for the model crusher. At first, expound and classify the critical parameter in theory; then ADAMS is used in parameterized modeling of plane four-bar linkage, according to the simulation optimization data of critical parameter in ADAMS, the relations among the critical parameter and influence on crusher performance are demonstrated after numerical analysis. Finally, the optimal critical values are optimized, which are applied into the design of a crusher.

Optimization design of the tuning method for FBG spectroscopy based on the numerical analysis of all-fiber Raman temperature lidar

2018 ◽  
Vol 40 ◽  
pp. 165-171 ◽  
Author(s):  
Li Wang ◽  
Jun Wang ◽  
Dong Bao ◽  
Rong Yang ◽  
Qing Yan ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Optimization Design ◽  
Tuning Method

Tolerance Optimization Design Based on Physical Programming Methods and PSO Algorithm

2011 ◽  
Vol 346 ◽  
pp. 584-592 ◽  
Author(s):  
H.B. Qiu ◽  
Y. Y. Dong ◽  
Y. Wang ◽  
L. Gao
Keyword(s):  
Optimization Design ◽  
Pso Algorithm ◽  
Tolerance Allocation ◽  
Dimensional Chain ◽  
Effective Solution ◽  
Key Factors ◽  
Physical Programming ◽  
Tolerance Optimization ◽  
Product Features ◽  
Mechanical Products

Product tolerance is one of the key factors which can determine the good or bad performance of mechanical products. Its size not only affects the manufacturing and assembly process, but also affects product features [1]. Thus tolerance optimization design gets more and more attention. In this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and PSO algorithm is also used to improve solving ability. And the effective solution for tolerance optimization is designed.

Optimization Design of a Small Aperture Cassegrain Antenna for 8mm Band Detector

2013 ◽  
Vol 411-414 ◽  
pp. 1425-1428
Author(s):  
Jiso Jiso Fan ◽  
Li Wu ◽  
Shu Sheng Peng
Keyword(s):  
Optimization Design ◽  
Simulation Optimization ◽  
Beam Width ◽  
Sidelobe Level ◽  
Small Aperture ◽  
Cassegrain Antenna ◽  
Main Reflector

In this paper, a small aperture Cassegrain antenna of 8mm band detector is optimally designed, whose main reflector diameter is limited at 96mm (diameter less than 30λ). After design and processing, this antenna measured results show its gain is 26dB, the sidelobe level is close to-12dB and-3dB beam-width is 4.8 °.These are consistent with simulation optimization results.

Research on the Multi-Disciplinary Optimization Design Technology for the ETO Product

2011 ◽  
Vol 55-57 ◽  
pp. 1177-1182
Author(s):  
Miao Fen Zhu ◽  
Shao Hui Su ◽  
You Ping Gong ◽  
Guo Jin Chen
Keyword(s):  
Knowledge Management ◽  
Optimization Design ◽  
Simulation Optimization ◽  
Design Criterion ◽  
Hydraulic Lift ◽  
Knowledge Modeling ◽  
Knowledge Reasoning ◽  
Knowledge Expression ◽  
Custom Made ◽  
Optimization Function

This paper provides one kind of knowledge construction to let the engineers and technicians apply the knowledge to the product’s simulation optimization function, the ability of establishing the design criterion and the technical standard, and the convenient knowledge reuse tool to manage the knowledge effectively. In this paper the knowledge expression, the knowledge tool as well as the inference engine of the knowledge library is packed as the knowledge management module which is called for the design simulation optimization system of the outside products. The application frame of the knowledge module takes the knowledge management as a center, and form finally the knowledge management engine embedded in the design simulation system based on the unified multi-disciplinary modeling. Therefore, the knowledge management module is divided into the knowledge modeling, the knowledge expression, the knowledge reasoning, and the knowledge management. Aiming at the deep custom-made degree of the multi-functional hydraulic lift machinery, the complex restraint and coupling relations between the components and parts, the non-unified model descriptions between the multi-disciplines, and the difficult management of massive isomerous data, the basic frame of the multi-disciplinary configuration optimization design for the ETO product of the hydraulic lift machinery is proposed in the paper.

Elastodynamic behavior of balanced closed-loop mechanisms: numerical analysis of a four-bar linkage

Meccanica ◽  
2013 ◽  
Vol 49 (3) ◽  
pp. 601-614 ◽  
Author(s):  
Alberto Martini ◽  
Marco Troncossi ◽  
Marco Carricato ◽  
Alessandro Rivola
Keyword(s):  
Numerical Analysis ◽  
Closed Loop ◽  
Four Bar Linkage

Research on Optimization Design for Reinforcing Method of Irregular Cross-Section Arch

2012 ◽  
Vol 166-169 ◽  
pp. 1684-1688
Author(s):  
Xu Yong Chen ◽  
Bihai Liao ◽  
Jie Li
Keyword(s):  
Finite Element ◽  
Numerical Analysis ◽  
Statistical Method ◽  
Cross Section ◽  
Theoretical Basis ◽  
Optimization Design ◽  
Direct Production ◽  
Arch Bridge ◽  
Physical Unit ◽  
Element Simulation

This article makes finite-element simulation and analysis on a reinforced two-way curved arch bridge by means of ANSYS, a tool of finite element numerical analysis. Through comparison with the testing results after reinforced, it validates feasibility and reasonability to analysze a reinforced two-way curved arch bridge using a physical unit of ANSYS. On basis of this, it brings forward an idea of optimization design and researches the real two bridges for optimization of reinforcement using ANSYS analyzing and mathematically statistical method. Through effects after and prior optimization, it demonstrates necessity for optimization design of reinforcement and attains some significant conclusions which provide theoretical basis to direct production in the future.

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