Linseed and Complex Rosin Ester Oils Additivated with MWCNTs and Nanopearls for Gears/Wheel‐Rail Systems

2019 ◽  
Vol 122 (2) ◽  
pp. 1900331 ◽  
Author(s):  
Andrey Fabio Pérez‐de Brito ◽  
Suhey Ponce ◽  
Juan Francisco Pérez‐Robles ◽  
Inocencio Higuera‐Ciapara ◽  
Alejandro Toro ◽  
...  
Keyword(s):  
Rail Systems ◽  
Rosin Ester

scholarly journals Alternative Road Vehicles, Electric Rail Systems, Short Flights: An Environmental Comparison

2008 ◽  
Vol 2 (4) ◽  
pp. 236-241 ◽  
Author(s):  
Julien Matheys ◽  
Tim Festraets ◽  
Jean-Marc Timmermans ◽  
Nele Sergeant ◽  
Joeri Van Mierlo
Keyword(s):  
Road Vehicles ◽  
Rail Systems

scholarly journals Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review

Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4710
Author(s):  
Mariusz Kostrzewski ◽  
Rafał Melnik
Keyword(s):  
Performance Analysis ◽  
Literature Review ◽  
Condition Monitoring ◽  
Systematic Literature Review ◽  
Academic Research ◽  
Rail Transport ◽  
Transport Systems ◽  
Future Research ◽  
Area Of Interest ◽  
Rail Systems

Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems—especially in the context of rail vehicle subsystem and track subsystem monitoring—have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems’ condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.

scholarly journals Synthesis of Maleic-Modified Rosin Ester from Pine Rosin

2021 ◽  
Vol 1143 (1) ◽  
pp. 012071
Author(s):  
Tirto Prakoso ◽  
Ihda Kumalasari ◽  
Bramantha Jiwandaru ◽  
Tatang Hernas Soerawidjaja ◽  
Muhammad Mufti Azis ◽  
...  
Keyword(s):  
Rosin Ester

scholarly journals Quantifying the effects of passenger-level heterogeneity on transit journey times

2020 ◽  
Vol 1 ◽  
Author(s):  
Ramandeep Singh ◽  
Daniel J. Graham ◽  
Richard J. Anderson
Keyword(s):  
Large Scale ◽  
Semiparametric Regression ◽  
Related Factors ◽  
Network Characteristics ◽  
Journey Time ◽  
Time Variance ◽  
Assignment Algorithm ◽  
Rail Systems ◽  
Urban Rail ◽  
Potential Applications

Abstract In this paper, we apply flexible data-driven analysis methods on large-scale mass transit data to identify areas for improvement in the engineering and operation of urban rail systems. Specifically, we use data from automated fare collection (AFC) and automated vehicle location (AVL) systems to obtain a more precise characterisation of the drivers of journey time variance on the London Underground, and thus an improved understanding of delay. Total journey times are decomposed via a probabilistic assignment algorithm, and semiparametric regression is undertaken to disentangle the effects of passenger-specific travel characteristics from network-related factors. For total journey times, we find that network characteristics, primarily train speeds and headways, represent the majority of journey time variance. However, within the typically twice as onerous access and egress time components, passenger-level heterogeneity is more influential. On average, we find that intra-passenger heterogeneity represents 6% and 19% of variance in access and egress times, respectively, and that inter-passenger effects have a similar or greater degree of influence than static network characteristics. The analysis shows that while network-specific characteristics are the primary drivers of journey time variance in absolute terms, a nontrivial proportion of passenger-perceived variance would be influenced by passenger-specific characteristics. The findings have potential applications related to improving the understanding of passenger movements within stations, for example, the analysis can be used to assess the relative way-finding complexity of stations, which can in turn guide transit operators in the targeting of potential interventions.

Degradable Rosin-Ester–Caprolactone Graft Copolymers

2011 ◽  
Vol 12 (6) ◽  
pp. 2171-2177 ◽  
Author(s):  
Kejian Yao ◽  
Jifu Wang ◽  
Wujie Zhang ◽  
James S. Lee ◽  
Chunpeng Wang ◽  
...  
Keyword(s):  
Graft Copolymers ◽  
Rosin Ester
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