Study of Vehicle Jerking Problem during Clutch Engagement Based on Numerical Value Analysis Method

2016 ◽  
Vol 693 ◽  
pp. 205-212
Author(s):  
Xiang Bin Cheng ◽  
Wei Min Zhang
Keyword(s):  
Vibration Amplitude ◽  
Analysis Method ◽  
Key Factors ◽  
Value Analysis ◽  
Power Train ◽  
Factors Influencing ◽  
Clutch Engagement ◽  
Simulation Results ◽  
The Impact

The impact caused by clutch engagement or disengagement leads to vehicle jerking problem. To solve the jerking vibration, the model of the power train and the process of the clutch engagement is built up, and the numerical relations between jerking vibration and key factors (such as the stiffness of clutch disc, the stiffness and damper of side shaft and flywheel) are established, the validity of the model is verified by comparing simulation results and results of measurement, finally the key factors influencing the vibration amplitude and frequency are identified by vehicle tests.

Do Community Engagement And Fairness Matter In Local Acceptance Of Wind Turbines In Tunisia?

2022 ◽  
Vol 13 (1) ◽  
pp. 0-0
Keyword(s):  
Community Engagement ◽  
Environmental Concern ◽  
Extensive Literature ◽  
Key Factors ◽  
Community Acceptance ◽  
Factors Influencing ◽  
Energy Projects ◽  
Significant Interest ◽  
Local Acceptance ◽  
The Impact

Environmental concern is considered as a significant interest for companies, government and communities. These stakeholders are conscious about the energy situation but this consciousness is not always reflected in actions of acceptance. Accordingly, this research paper sheds light on the impact of the main key factors influencing the community acceptance of wind energy projects in Tunisia. An extensive literature review about community acceptance, community engagement, fairness and perceived risks is presented. Based on previous studies, authors identify the relationships between these variables. A quantitative approach is used to test the hypotheses using responses from a sample of 265 survey respondents in Tunisia. The research results and implications are discussed. Recommendations to be considered by interest stakeholders are drawn.

scholarly journals The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Fang Li ◽  
Yunlan Wang ◽  
Peng Li
Keyword(s):  
Evaluation Model ◽  
Water Droplets ◽  
Key Factors ◽  
Evaluation Indexes ◽  
Factors Influencing ◽  
Depth Study ◽  
Optimization Function ◽  
Simulation Results ◽  
Qos Evaluation

In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.

scholarly journals Factors Influencing Revenues of the Landscape and Lawn Care Companies

2001 ◽  
Vol 19 (3) ◽  
pp. 132-136
Author(s):  
S. K. Anil ◽  
W. J. Florkowski ◽  
J. E. Epperson ◽  
G. Landry
Keyword(s):  
Labor Cost ◽  
Single Equation ◽  
Positive Influence ◽  
Key Factors ◽  
Lawn Care ◽  
Factors Influencing ◽  
Short Run ◽  
Net Revenue ◽  
Revenue Models ◽  
The Impact

Abstract The purpose of this study was to determine the impact of key factors influencing the landscape maintenance and lawn care industry (LM/LC) sales or gross revenue as well as partial net revenue (gross revenue less labor cost). A single-equation framework was applied for the estimation of gross and partial net revenue models. Analysis showed a positive influence of labor cost on gross revenue. In comparison to individually owned firms, corporations can expect larger revenue increases. Companies with extended business experience (measured by the number of years in operation) could expect not only greater gross revenue but also greater partial net revenue. The level of education of supervisory personnel was specifically important for partial net revenue. Offers of price discounts for services enhanced gross revenue but not partial net revenue. Price discounting may help in the management of labor and cash flow in the short run, but the LM/LC company must recover overhead costs to stay in business. Population density continues to play a major role in improving the revenues of LM/LC companies.

Stability of a Semi-Active Impact Damper: Part I—Global Behavior

1989 ◽  
Vol 56 (4) ◽  
pp. 926-929 ◽  
Author(s):  
M. P. Karyeaclis ◽  
T. K. Caughey
Keyword(s):  
Periodic Solutions ◽  
Vibration Amplitude ◽  
Torsional Oscillator ◽  
Global Behavior ◽  
Impact Damper ◽  
General Behavior ◽  
Clutch Engagement ◽  
All Solutions ◽  
The Impact ◽  
Amplitude Level

A study is made of the general behavior of a semi-active impact damper. The system consists of an undamped forced torsional oscillator, and a flywheel which can be locked to the oscillator through a clutch. The impact which results during clutch engagement is effective in reducing the vibration amplitude level of the oscillator when it is subjected to bounded excitation. All solutions of the system are shown to be bounded when the input is bounded. Periodic solutions are discussed in the following paper, Part II.

Numerical Simulation of Hydroxyapatite Particle Impacting on Ti Substrate in Cold Spraying

2011 ◽  
Vol 130-134 ◽  
pp. 900-903 ◽  
Author(s):  
Lei Zhang ◽  
Wen Tao Zhang ◽  
Zhi Yong Wu
Keyword(s):  
Cold Spraying ◽  
Impact Pressure ◽  
Impact Behavior ◽  
Metallic Implants ◽  
Factors Influencing ◽  
Hydroxyapatite Particle ◽  
Ha Coating ◽  
Main Factors ◽  
Simulation Results ◽  
The Impact

Hydroxyapatite (HA) is a calcium phosphate ceramics and HA coating is essential for the medical metallic implants. This paper presents a computational model of HA particle impact behavior in cold spraying. The impact pressure at the predefined contact surface between the HA particle and the Ti substrate is investigated numerically using ABAQUS/Explicit. The effects of particle size, particle velocity and substrate temperature on the impact pressure are examined. A Taguchi’s orthogonal array is employed to arrange the simulation conditions and the simulation results are analyzed to reveal the main factors influencing the impact pressure, which provides a better understanding of the bonding mechanism during cold spraying.

scholarly journals A Faster Kind of Photojournalism?

2017 ◽  
Vol 38 (s2) ◽  
pp. 41-56 ◽  
Author(s):  
Maria Nilsson
Keyword(s):  
Image Quality ◽  
Interview Study ◽  
Key Factors ◽  
Visual Expertise ◽  
Interactive Process ◽  
Factors Influencing ◽  
News Value ◽  
The Impact ◽  
Editorial Processing ◽  
Lower Image Quality

AbstractThis article examines factors influencing the editorial processing of photographs, the impact of photojournalistic practices on those processes as well as perceptions of images. Perspectives on visual gatekeeping and the news value of photographs were applied to a newsroom and interview study with a specific focus on photographs for the main news section of a Swedish newspaper. Findings identified routines, publication formats and resources as key factors, with some challenges posed by mobile publication formats and a focus on routine news. Photo editors were found to have a key function asserting expertise in a shared and interactive process. Yet changing routines and a reduced visual expertise on weekends were found to result in some lower image quality. While the ‘observed moment’ appeared to remain a photojournalistic ideal among visual gatekeepers, there were divergent perceptions found of the current and future functions of the news photograph.

Computer Language: Impact on Information Systems Development

1993 ◽  
Vol 8 (3) ◽  
pp. 160-166
Author(s):  
Peter Middleton
Keyword(s):  
Systems Development ◽  
Project Planning ◽  
Information Systems Development ◽  
Fourth Generation ◽  
Computer Language ◽  
Key Factors ◽  
Software Developers ◽  
Factors Influencing ◽  
Generation Computer ◽  
The Impact

The impact of a particular computer language on the process of developing an information system is not well understood. This paper explores the issues through interviews with 16 software developers who changed, or considered changing, from a third to a fourth generation computer language. The conclusion is that there can be considerable costs in hardware, inflexibility and project planning errors incurred by changing to a fourth generation language. The benefits are unlikely to compensate for the costs of changing languages. The key factors influencing the productivity of software developers emerged as social, not technical.

scholarly journals Study on Mechanism Experiments and Evaluation Methods for Water Eutrophication

2017 ◽  
Vol 2017 ◽  
pp. 1-7 ◽  
Author(s):  
Jiabin Yu ◽  
Zhaoyang Wang ◽  
Xiaoyi Wang ◽  
Jiping Xu ◽  
Jie Jia
Keyword(s):  
Principal Component ◽  
Analysis Method ◽  
Key Factors ◽  
Effective Evaluation ◽  
Orthogonal Experiments ◽  
Sample Data ◽  
Simulation Results ◽  
Four Levels ◽  
Main Components ◽  
Water Eutrophication

The process of water eutrophication involves the interaction of external factors, nutrients, microorganisms, and other factors. It is complex and has not yet been effectively studied. To examine the formation process of water eutrophication, a set of orthogonal experiments with three factors and four levels is designed to analyze the key factors. At the same time, with the help of a large amount of monitoring data, the principal component analysis method is used to extract the main components of water eutrophication and determine the effective evaluation indicators of eutrophication. Finally, the Bayesian theory of uncertainty is applied to the evaluation of the eutrophication process to evaluate the sample data. The simulation results demonstrate the validity of the research method.

Study on China’s Eco-Innovation Performance Based on the Comparison with Three Northeastern Provinces

2011 ◽  
Vol 347-353 ◽  
pp. 2758-2763
Author(s):  
Zhen Hua ◽  
Zhen Guo
Keyword(s):  
Technology Development ◽  
Indicator System ◽  
Innovation Performance ◽  
Liaoning Province ◽  
Heilongjiang Province ◽  
Environment Protection ◽  
Analysis Method ◽  
Comparison Analysis ◽  
Key Factors ◽  
Factors Influencing

This paper constructs the indicator system for evaluating eco-innovation, and studies the eco-innovation performance of 30 provinces in China in 2009 by the factor analysis method, and makes a comparison analysis with the situation of three northeastern provinces. The result shows: innovative strength, technical environment and the degree of environment protection are the key factors influencing eco-innovation performance, the innovative strength of Liaoning province is the greatest in three northeastern provinces, but it's at greater expense of environment; Heilongjiang Province has better environment for technology development, but innovative strength is weak; Jilin province has no advantage in these three factors

Factors affecting cane yield and commercial cane sugar in the Tully district

2002 ◽  
Vol 42 (4) ◽  
pp. 473 ◽  
Author(s):  
R. A. Lawes ◽  
K. E. Basford ◽  
L. M. McDonald ◽  
R. J. Lawn ◽  
M. K. Wegener
Keyword(s):  
Variance Components ◽  
Cane Sugar ◽  
Cane Yield ◽  
Key Factors ◽  
Factors Affecting ◽  
Commercial Cane Sugar ◽  
Factors Influencing ◽  
The Impact ◽  
Commercial Environment ◽  
Plant Crop

The Tully Sugar Mill has collected information about sugarcane supplied for crushing from every block in the mill district from 1970 to 1999. Data from 1988 to 1999 were analysed to understand the extent of the variation in cane yield per hectare and commercial cane sugar in the Tully mill area. The key factors influencing the variation in cane yield and commercial cane sugar in this commercial environment were identified and the variance components computed using a restricted maximum likelihood methodology. Cane yield was predominantly influenced by the year in which it was harvested, the month when the crop was ratooned (month of harvest in the previous year) and the farm of origin. These variables were relatively more important than variety, age of crop or crop class (plant crop, first ratoon through to fourth or older ratoons) and fallowing practice (fallow or ploughout-replant). The month-of-ratooning effect was relatively stable from year-to-year. Commercial cane sugar was influenced by the year of harvest, the month of harvest and their interaction, in that the influence of the month of harvest varied from year to year. Variety and farm differences were also significant but accounted for a much lower portion of the variation in commercial cane sugar. An empirical model was constructed from the key factors that influenced commercial cane sugar and cane yield to quantify their combined influence on sugar yield (t/ha). This may be used to assist mill personnel to predict their activities more accurately, for example to calculate the impact of a late finish to the current harvest season on the following year's crop.

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