Role of secondary phase particles in fatigue behavior of high-speed railway gearbox material

2020 ◽  
Vol 131 ◽  
pp. 105336 ◽  
Author(s):  
Yinan Jiao ◽  
Yifan Zhang ◽  
Shiqing Ma ◽  
Deli Sang ◽  
Yang Zhang ◽  
...  
2021 ◽  
Vol 799 ◽  
pp. 140064
Author(s):  
Yinan Jiao ◽  
Shaopu Yang ◽  
Jianjun Li ◽  
Shiqing Ma ◽  
Shengchuan Wu ◽  
...  

2018 ◽  
Vol 23 (5) ◽  
pp. 05018003 ◽  
Author(s):  
Wen Zhong ◽  
You-liang Ding ◽  
Yong-sheng Song ◽  
Han-wei Zhao

2016 ◽  
Vol 10 (1) ◽  
pp. 119-123 ◽  
Author(s):  
Jean-Jacques Terrin

This contribution relates to the ENTER.HUB project implemented between 2012 and 2015 in the framework of the European URBACT II programme$. ENTER.HUB involved twelve medium-sized cities fitting into Trans-European Transport Networks (TENT-T) corridors, realizing or forecasting a High Speed Railway (HSR) Hub and planning multimodal interfaces of regional relevance. The ENTER.HUB project questioned the role of HSR Hubs in integrated urban development and in economic, social and cultural regeneration. The cities participating to ENTER.HUB network had in common to be in the process of redefining their territorial mobility systems, expecting that a Hub infrastructure would reinforce their links to other national and European cities, narrow their citizens and enterprises to diverse regional and interregional activities, and strength their connectivity from local to European level. The major objective of this project was to help these medium-sized cities to become more competitive and improve their mobility systems in connection with the HSR Hub to come. The twelve cities composing the ENTER HUB network are: Reggio Emilia (Italy), Lead Partner; IMPEFE - Ciudad Real (Spain); Creil Agglomeration (France); Gdynia (Poland); Girona (Spain); Łódź (Poland); Lugano (Switzerland); Örebro Region (Sweden); Porto (Portugal); Preston (UK); Rostock (Germany); Ulm (Germany).


Metals ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 1476
Author(s):  
Rashid N. Asfandiyarov ◽  
Georgy I. Raab ◽  
Denis A. Aksenov

This work considers the development and the application of combined severe plastic deformation (SPD) techniques to produce contact wire with an enhanced complex of physical, mechanical, and service properties used for high-speed railway lines. This type of processing can be used as an alternative to most conventional production methods, including rolling and drawing. The proposed technique is based on the combination of radial swaging and equal-channel angular pressing, bundled with the wire-forming process. Laboratory contact wire samples with an enhanced complex of physical, mechanical, and service properties were produced during physical experiments. The composition of processed alloy samples meets modern requirements for contact wires for high-speed railways. Ultimate tensile strength of 560 ± 20 MPa, electrical conductivity of 76 ± 2% IACS, and relative tensile elongation of 20 ± 2% are achieved through the formation of a band structure. Fragments of 300 ± 20 nm were formed inside strips with the precipitation of secondary phase particles of 20–100 nm along the fragment boundaries, mainly during the aging process.


2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yu Zheng

Mathematical models are important methods in estimating epidemiological patterns of diseases and predicting the consequences of the spread of diseases. Investigation of risk factors of transportation modes and control of transportation exposures will help prevent disease transmission in the transportation system and protect people’s health. In this paper, a multimodal traffic distribution model is established to estimate the spreading of virus. The analysis is based on the empirical evidence learned from the real transportation network which connects Wuhan with other cities. We consider five mainstream travel modes, namely, auto mode, high-speed railway mode, common railway mode, coach mode, and flight mode. Logit model of economics is used to predict the distribution of trips and the corresponding diseases. The effectiveness of the model is verified with big data of the distribution of COVID-19 virus. We also conduct model-based tests to analyze the role of lockdown on different travel modes. Furthermore, sensitivity analysis is implemented, the results of which assist in policy-making for containing infection transmission through traffic.


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