Study of the Lumped Parameter Models and Parameters Identification of Hydraulic Bushing

2013 ◽  
Vol 321-324 ◽  
pp. 1805-1811
Author(s):  
Lin Li
Keyword(s):  
Dynamic Behavior ◽  
Parameters Identification ◽  
Computation Method ◽  
Digital Computation ◽  
System Parameters ◽  
Lumped Parameter ◽  
Development Cycle ◽  
Lumped Parameter Models ◽  
Lp Model

This article proposes two types of Lumped parameter models for the hydraulic bushing. Digital computation method is used to estimate the system parameters of LP model, provides a new way to reduce development cycle of hydro bushing. Two results of hydro-bushing dynamic behavior using two LP models are compared and analyzed. This article provides more channel to analyze the operation principle of the hydraulic bushing.

The Dynamic Behavior Research of Coupling Shafts in Tufted Carpet Looms

2013 ◽  
Vol 427-429 ◽  
pp. 142-145
Author(s):  
Zhi Jun Sun ◽  
Yang Xu ◽  
Shuang Huang ◽  
Yi Ze Sun
Keyword(s):  
Dynamic Behavior ◽  
Transfer Matrix ◽  
Natural Frequencies ◽  
Elastic Support ◽  
Behavior Model ◽  
Lumped Parameter ◽  
Lumped Parameter Models ◽  
Lumped Masses ◽  
Parts Transfer ◽  
The Relationship

Firstly, based on the structure of tufted carpet looms (DHGN801D-400), the lumped parameter models were built, in which included the massless shafts, lumped masses, disk and elastic support. Secondly, according to various parts of the relationship between force and deformation, the transfer matrix of right and left ends were established, thus the universal transfer matrix of shaft units was determined by solving the various parts transfer matrix simultaneously. Thirdly, the dynamic behavior model of coupling shafts in tufted carpet looms was given, and different natural frequencies were acquired by simulating the model in Matlab. Lastly, the dynamic behavior model using transfer matrix was verified to be effective and feasible by experiment.

scholarly journals Aggregation effects on tritium-based mean transit times and young water fractions in spatially heterogeneous catchments and groundwater systems, and implications for past and future applications of tritium

2016 ◽  
Author(s):  
Michael K. Stewart ◽  
Uwe Morgenstern ◽  
Maksym A. Gusyev ◽  
Piotr Maloszewski
Keyword(s):  
Heterogeneous Systems ◽  
Lumped Parameter Model ◽  
Aggregation Bias ◽  
System Parameters ◽  
Lumped Parameter ◽  
Transit Times ◽  
Lumped Parameter Models ◽  
Groundwater Systems ◽  
Water Fractions ◽  
The Mean

Abstract. Applications of simple lumped parameter models to describe aspects of hydrological systems rest on assumptions of homogeneity that are rarely valid. The lumped parameters are supposed to represent the quantities within the system as well as those of the overall system, but such quantities will obviously vary greatly from place to place within heterogeneous systems. Less appreciated is the fact that aggregation errors will affect overall system parameters as well. Kirchner (2016a) recently demonstrated that aggregation errors due to heterogeneity in catchments could cause severe underestimation of the mean transit times (MTTs) of water travelling through catchments when simple lumped parameter models were applied to interpret seasonal tracer cycles. Here we examine the effects of such errors on the MTTs and young water fractions estimated using tritium concentrations. We find that MTTs derived from tritium concentrations in streamflow are just as susceptible to aggregation bias as those from seasonal tracer cycles. Likewise, groundwater wells or springs fed by two or more water sources with different MTTs will also show aggregation bias. However, the transit times over which the biases are manifested are very different; for seasonal tracer cycles it is 2–3 months up to about 5 years, while for tritium concentrations it is 6–12 years up to about 200 years. We also find that young water fractions derived from tritium are almost immune to aggregation errors as were those derived from seasonal tracer cycles. To investigate the implications of these findings for past and future use of tritium for estimating MTTs in catchments and groundwater systems, we examined case studies from the literature in which simple and more complicated lumped parameter models had been used. We find that MTT aggregation errors are small when either component waters are young (less than 6–12 years, as found in many catchments), or component waters have similar MTTs to each other. On the other hand, aggregation errors are large when very young water components are mixed with old components. In general, well-chosen compound lumped parameter models should be used as they will eliminate potential aggregation errors due to the application of simple lumped parameter models. The choice of a suitable lumped parameter model can be assisted by matching simulations to time series of tritium measurements (underlining the value of long series of tritium measurements), but such results should also be finally validated to ensure that the parameters found by modelling correspond to reality.

A hybrid model to study the effect of tooth lead modifications on the dynamic behavior of double helical planetary gears

2019 ◽  
Vol 233 (21-22) ◽  
pp. 7224-7235
Author(s):  
Stéphane Portron ◽  
Philippe Velex ◽  
Vincent Abousleiman
Keyword(s):  
Dynamic Behavior ◽  
Hybrid Model ◽  
Load Distribution ◽  
Element Model ◽  
Ring Gear ◽  
Planetary Gears ◽  
Lumped Parameter ◽  
Lumped Parameter Models ◽  
Lumped Parameters ◽  
Planet Carrier

In this paper, a hybrid model is used to investigate the dynamic behavior of planetary gears. Sun-gear, planets, and ring-gear are modeled using lumped parameters elements, while planet carrier is integrated via a condensed finite element model. This approach intends to be more precise than the traditional lumped parameter models while keeping acceptable computational times. In some aeronautical applications, tooth lead modifications can be necessary to counterbalance the effect of planet carrier deflections on tooth load distribution. This study focuses on the influence of various lead modifications on the dynamic behavior of double helical planetary gears over a broad range of loads.

scholarly journals Balanced version of Slime Mold Algorithm: A study on PEM fuel cell system parameters identification

2021 ◽  
Vol 7 ◽  
pp. 3199-3209
Author(s):  
Junlong Zheng ◽  
Yujie Xie ◽  
Xiaoping Huang ◽  
Zhongxing Wei ◽  
Bahman Taheri
Keyword(s):  
Fuel Cell ◽  
Pem Fuel Cell ◽  
Cell System ◽  
Slime Mold ◽  
Parameters Identification ◽  
Fuel Cell System ◽  
System Parameters

Lumped parameter models for two-ventricle and healthy and failing extracardiac Fontan circulations

2021 ◽  
Author(s):  
Matthew G Doyle ◽  
Marina Chugunova ◽  
S Lucy Roche ◽  
James P Keener
Keyword(s):  
Single Ventricle ◽  
Left Ventricular ◽  
Sensitivity Analyses ◽  
Surgical Strategies ◽  
Lumped Parameter ◽  
Lumped Parameter Models ◽  
Fontan Failure ◽  
Existence Of Periodic Solutions ◽  
Mathematical Definitions ◽  
Extracardiac Fontan

Abstract Fontan circulations are surgical strategies to treat infants born with single ventricle physiology. Clinical and mathematical definitions of Fontan failure are lacking, and understanding is needed of parameters indicative of declining physiologies. Our objective is to develop lumped parameter models of two-ventricle and single-ventricle circulations. These models, their mathematical formulations and a proof of existence of periodic solutions are presented. Sensitivity analyses are performed to identify key parameters. Systemic venous and systolic left ventricular compliances and systemic capillary and pulmonary venous resistances are identified as key parameters. Our models serve as a framework to study the differences between two-ventricle and single-ventricle physiologies and healthy and failing Fontan circulations.

Lumped-parameter models for low-temperature geothermal fields and their application

Geothermics ◽  
2005 ◽  
Vol 34 (6) ◽  
pp. 728-755 ◽  
Author(s):  
Hulya Sarak ◽  
Mustafa Onur ◽  
Abdurrahman Satman
Keyword(s):  
Low Temperature ◽  
Lumped Parameter ◽  
Geothermal Fields ◽  
Lumped Parameter Models
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