Mechanism and affecting factors of Translohr tramway guide rail side wear

2016 ◽  
Vol 231 (21) ◽  
pp. 3898-3912 ◽  
Author(s):  
Yuanjin Ji ◽  
Lihui Ren ◽  
Jian Wang ◽  
Dao Gong
Keyword(s):  
Mechanical Model ◽  
Field Measurements ◽  
Affecting Factors ◽  
Critical Factors ◽  
Guide Rail ◽  
Factors Affecting ◽  
Rail Track ◽  
Equivalent Mechanical Model ◽  
Two Factors ◽  
Curve Radius

The wheel–rail contact can be found in two patterns. In the first pattern, the treads of both wheels are in contact with the two top surfaces of the ^-shaped guide rail; in the second pattern, the treads of both wheels are in contact with the two top surfaces of the ^-shaped guide rail, and the wheel edge is in contact with the guide rail web on one side. Based on these findings, an equivalent mechanical model with four unilateral springs is proposed to describe the wheel–rail contact. Additionally, a dynamic model of the Translohr tramway is established using Matlab/Simulink. The wheel–rail contact in a tramway moving along curves with different radii is calculated using simulation, and the results obtained are consistent with the observations and results of field measurements. The effects of various factors, including curve radius, tram speed, guide rail pre-pressure, and guide rod length, on the side wear of the guide rail were investigated. The results revealed that curve radius and tram speed are the critical factors affecting rail track side wear. These two factors can qualitatively determine rail track side wear, while other factors can only quantitatively affect the degree of rail track side wear.

Factors Affecting Perception of Value for Money and Customer Satisfaction for Foreign Tourists in Goa

2015 ◽  
Vol 8 (2) ◽  
Author(s):  
Purva Kansal ◽  
Sandeep Walia ◽  
Suriti Goel
Keyword(s):  
Customer Satisfaction ◽  
Satisfaction Level ◽  
Review Of Literature ◽  
Critical Factors ◽  
Value For Money ◽  
Factors Affecting ◽  
Foreign Tourist ◽  
Two Factors ◽  
Customer Satisfaction And Loyalty

The current study is an attempt to identify the various critical factors that are essential for creating value for money and therefore, customer satisfaction and loyalty. The review of literature indicated a gap in the area of relationship between value for money and customer satisfaction. For this, a study was placed in which a sample of 300 foreign tourists in Goa was taken and a survey was conducted to analyze which factors led to their increase in value for money. It was found that the value for money was affected by both ease of visiting Goa and level of enjoyment experience offered by Goa. Out of these two factors, the level of enjoyment was found to be more significantly and positively affecting the foreign tourist perception of value for money and satisfaction level as compared to the ease of visiting.

scholarly journals Exploring the Critical Factors, the Online Learning Continuance Usage during COVID-19 Pandemic

2021 ◽  
Vol 13 (10) ◽  
pp. 5471
Author(s):  
Chuan-Yu Mo ◽  
Te-Hsin Hsieh ◽  
Chien-Liang Lin ◽  
Yuan Qin Jin ◽  
Yu-Sheng Su
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Family Support ◽  
Technology Acceptance Model ◽  
Online Teaching ◽  
Ease Of Use ◽  
Critical Factors ◽  
Factors Affecting ◽  
E Learning ◽  
Acceptance Model

In order to enable online learning to continue developing when the COVID-19 pandemic passes, this study aimed to identify the critical factors that affected the use of e-learning by university students during the pandemic. These critical factors will help to increase the efficiency of future development and deployment of online learning systems. Through a literature review, this study employed the technology acceptance model, social support, and task–technology fit as the theoretical basis to establish the framework of the online learning environment with regards to the technology acceptance model in the context of emergency management. A questionnaire survey was administered to students in universities that had implemented online teaching during the pandemic, and 552 valid responses were collected. The survey explored the factors affecting the willingness of higher education institution students to continue using online learning, and the following conclusions were drawn. (1) The easier an online learning platform was to navigate, the better it was perceived by the students, and thus the students were more willing to use it. (2) Ease of use and usefulness were associated with the teachers’ choice of platform and their ability to achieve a satisfactory fit between the course design and platform navigation, which thereby affected the students’ learning outcomes and attitude towards use. (3) The positive attitude of teachers towards teaching increased the students’ perceived ease of use of online learning. (4) During the pandemic, family support—a major support for teachers in online teaching—enhanced teachers’ attitudes towards, and willingness to provide, online teaching. A high level of support showed that the parents urged the students to learn and complete online learning tasks as instructed by the teachers, implying that family support could affect the students’ habits towards, adaptation to, and identification of online learning. The study results provide insights into the factors affecting the willingness of teachers and students to continue using e-learning platforms.

scholarly journals New Experimental Installation to Determine Adsorptive Properties of Magnesium Sulphate

Materials ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 5652
Author(s):  
Oscar Banos ◽  
Sven Ohmann ◽  
Cornelia Breitkopf
Keyword(s):  
Thermal Management ◽  
Heat Pumps ◽  
Critical Factors ◽  
Adsorption Refrigeration ◽  
Two Factors ◽  
Adsorption Processes ◽  
Material Separation ◽  
Adsorption Desorption ◽  
Adsorptive Properties ◽  
Desorption Capacity

Adsorption processes are of great interest in catalysis, material separation, and thermal management. In recent decades, adsorbents have been further investigated because of their applications in adsorption refrigeration, heat pumps, and thermal energy storage. Thus, there is an increasing need to determine the macroscopic properties of the adsorbent, specifically their adsorption/desorption capacity and speed, because these two factors determine the power and size of the corresponding adsorber. Many designs have been proposed, but there is still not a generally adopted technology for the analysis of those properties. In this paper, a novel instrument is described, which is capable of determining the macrokinetic properties of an adsorbent composite, with better control and higher accuracy than gravimetric, volumetric, or barometric installations, and lower price and complexity than spectroscopic installations. The design of the installation is detailed, highlighting the main challenges and critical factors. The two working modes of the installation are described, and one example is provided and analyzed for each of them.

Green roof hydrologic performance and modeling: a review

2013 ◽  
Vol 69 (4) ◽  
pp. 727-738 ◽  
Author(s):  
Yanling Li ◽  
Roger W. Babcock
Keyword(s):  
Peak Flow ◽  
Green Roof ◽  
Field Measurements ◽  
Green Roofs ◽  
Economic Benefits ◽  
Design Parameters ◽  
Technical Literature ◽  
Factors Affecting ◽  
Model Soil ◽  
Runoff Volume

Green roofs reduce runoff from impervious surfaces in urban development. This paper reviews the technical literature on green roof hydrology. Laboratory experiments and field measurements have shown that green roofs can reduce stormwater runoff volume by 30 to 86%, reduce peak flow rate by 22 to 93% and delay the peak flow by 0 to 30 min and thereby decrease pollution, flooding and erosion during precipitation events. However, the effectiveness can vary substantially due to design characteristics making performance predictions difficult. Evaluation of the most recently published study findings indicates that the major factors affecting green roof hydrology are precipitation volume, precipitation dynamics, antecedent conditions, growth medium, plant species, and roof slope. This paper also evaluates the computer models commonly used to simulate hydrologic processes for green roofs, including stormwater management model, soil water atmosphere and plant, SWMS-2D, HYDRUS, and other models that are shown to be effective for predicting precipitation response and economic benefits. The review findings indicate that green roofs are effective for reduction of runoff volume and peak flow, and delay of peak flow, however, no tool or model is available to predict expected performance for any given anticipated system based on design parameters that directly affect green roof hydrology.

Initial weight and virus dose: two factors affecting the onset of acute coxsackievirus B3 myocarditis in C57BL/6 mouse—a histopathology-based study

2013 ◽  
Vol 22 (1) ◽  
pp. 96-101 ◽  
Author(s):  
Minghui Li ◽  
Xinggang Wang ◽  
Yuquan Xie ◽  
Yeqing Xie ◽  
Xian Zhang ◽  
...  
Keyword(s):  
Coxsackievirus B3 ◽  
Initial Weight ◽  
Factors Affecting ◽  
Virus Dose ◽  
Two Factors

Critical factors affecting the planning and implementation of major projects

1993 ◽  
Vol 14 (5) ◽  
pp. 319-337 ◽  
Author(s):  
John M. Bryson ◽  
Philip Bromiley
Keyword(s):  
Critical Factors ◽  
Factors Affecting

Factors Affecting Productivity of Refuse Compactor Vehicles in India

2021 ◽  
Vol 47 (3) ◽  
pp. 529-535
Author(s):  
Khant Shah ◽  
Devanshu Pandit
Keyword(s):  
Solid Waste Management ◽  
Field Studies ◽  
Operating Costs ◽  
Municipal Solid Waste Management ◽  
Critical Factors ◽  
Factors Affecting ◽  
Operation Optimization ◽  
Selection Parameters ◽  
Evaluation And Monitoring ◽  
Hierarchy Process

Shift towards mechanization in the municipal solid waste management (MSWM) is aimed at improving health wellbeing of the workers who are manually handling waste. With huge investment and operating costs, proper evaluation and monitoring of the performances of these equipment is essential. Identifying and rating the factors which impact the performance of equipment is the first step towards improving efficiency of a system. This research identifies the critical factors and issues in the operation optimization of refuse compactor vehicles. Interviews with experts and field studies helped in identification of 30 factors which were divided in five categories. The research uses analytical hierarchy process (AHP) for finding out the priority vectors of thus identified factors and categories. The study also highlights equipment selection parameters for the best suited model and make.

Sign in / Sign up

Export Citation Format

Share Document