scholarly journals Optimization and Performance Analysis of Rail-Train Coupling System with Inerters

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Shichang Han ◽  
Xian Wang ◽  
Chunxi Yang ◽  
Guowei Xie ◽  
Zhongcheng Qiu ◽  
...  
Keyword(s):  
Vertical Vibration ◽  
Ride Quality ◽  
Particle Swarm Algorithm ◽  
Suspension Parameters ◽  
Rail System ◽  
Coupling System ◽  
Vibration Attenuation ◽  
And Performance ◽  
Vibration Performance ◽  
Optimization And Performance

Optimization for vertical vibration performance of a rail-train coupling system is investigated in this paper with the introduction of inerters for both primary and secondary suspensions. A model of a typical Chinese passenger train that travels on a traditional rail with track, sleepers, and ballast is simulated. The goal is to improve the ride quality for the train and vibration attenuation for the rail system in response to track irregularities. Optimizations for only inertance and all suspension parameters are carried out by the particle swarm algorithm (PSO). Performance benefits for both the train and the rail system are demonstrated and suspension layouts with inerters connected in parallel and series are compared with the traditional one in both time domain and frequency domain.

scholarly journals Active control of hydropneumatic suspension parameters of wheel loaders based on road condition identification

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881742 ◽  
Author(s):  
Shuai Wang ◽  
Zhen Lu ◽  
Xinhui Liu ◽  
Yue Cao ◽  
Xuefei Li
Keyword(s):  
Fuzzy Controller ◽  
Vertical Vibration ◽  
Particle Swarm Algorithm ◽  
Wheel Loader ◽  
Multibody Model ◽  
Uneven Terrain ◽  
Suspension Parameters ◽  
Road Condition ◽  
Wheel Loaders ◽  
Steep Slopes

Wheel loader is off-road vehicle and works on uneven terrain, unexpected banks or steep slopes. In order to improve the ride and stability of the vehicle, this study mainly focuses on how to adjust the parameters of hydropneumatic suspension through the identification of road conditions. Firstly, the multibody model of a wheel loader with hydropneumatic suspension is developed by RecurDyn in a co-simulation with MATLAB/Simulink. Secondly, a method of road level recognition based on learning vector quantization neural network is proposed to accurately identify the level of roads on which the wheel loader travels. Then, the hydropneumatic suspension parameters are optimized by using the particle swarm algorithm. A fuzzy controller is established based on the optimized parameters of the hydropneumatic suspension to realize the active adjustment of the suspension parameters under different road levels and driving speeds. Finally, a virtual prototyping model is used to analyse the influence of the active adjustment of suspension parameters on the vertical vibration under different driving conditions. Results show that the fuzzy controller can reasonably adjust the parameters of hydropneumatic suspension according to the identified road condition and effectively reduce the vertical vibration of the wheel loader.

Optimization and performance of an optically asymmetrical heliostat field

1999 ◽  
Vol 09 (PR3) ◽  
pp. Pr3-71-Pr3-76 ◽  
Author(s):  
M. Romero ◽  
V. Fernández ◽  
M. Sánchez
Keyword(s):  
And Performance ◽  
Optimization And Performance

Electrical Capacitance Volume Tomography (ECVT) for industrial and medical applications-An Overview

2015 ◽  
Vol 11 (1) ◽  
pp. 2897-2908
Author(s):  
Mohammed S.Aljohani
Keyword(s):  
Imaging Technique ◽  
Three Dimensional ◽  
Biological Processes ◽  
Electrical Capacitance ◽  
Image Reconstruction Techniques ◽  
Phase Dynamics ◽  
Non Invasive ◽  
Electrical Capacitance Volume Tomography ◽  
And Performance ◽  
Optimization And Performance

Tomography is a non-invasive, non-intrusive imaging technique allowing the visualization of phase dynamics in industrial and biological processes. This article reviews progress in Electrical Capacitance Volume Tomography (ECVT). ECVT is a direct 3D visualizing technique, unlike three-dimensional imaging, which is based on stacking 2D images to obtain an interpolated 3D image. ECVT has recently matured for real time, non-invasive 3-D monitoring of processes involving materials with strong contrast in dielectric permittivity. In this article, ECVT sensor design, optimization and performance of various sensors seen in literature are summarized. Qualitative Analysis of ECVT image reconstruction techniques has also been presented.

scholarly journals Optimization and Performance Modeling of Stencil Computations on Modern Microprocessors

SIAM Review ◽  
2009 ◽  
Vol 51 (1) ◽  
pp. 129-159 ◽  
Author(s):  
Kaushik Datta ◽  
Shoaib Kamil ◽  
Samuel Williams ◽  
Leonid Oliker ◽  
John Shalf ◽  
...  
Keyword(s):  
Performance Modeling ◽  
Stencil Computations ◽  
And Performance ◽  
Optimization And Performance

A New Aluminium Silicon-Boron Nitride Abradable for Compressor Components

1998 ◽  
Author(s):  
K. Boddenberg ◽  
B. Kock ◽  
M. Dorfman ◽  
L. Russo ◽  
M. Nestler
Keyword(s):  
Boron Nitride ◽  
Raw Materials ◽  
Electrical Energy ◽  
Air Separation ◽  
Energy Costs ◽  
Performance Improvements ◽  
And Performance ◽  
Materials Used ◽  
Abradable Coatings ◽  
Optimization And Performance

Abstract Air separation plants use centrifugal compressors where air and electrical energy are the only raw materials used in the production process. So energy costs play a crucial role and the compressors are heavily penalized when guaranteed performance levels are not achieved. In order to better generate performance, abradable coatings, previously used in the gas turbine industry, have been designed into turbocompressors. This paper will show the optimization and performance improvements of a new aluminium silicon-boron nitride material.

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