1B13 A case study of the application of bioplastic to a railway vehicle interior component(Vehicles-System)

This paper introduces a methodology that guides the modularization of work task for global engineering. Global engineering is a new collaboration model of co-developing engineering design systems with distributed teams. We consider the decision of allocating subsystem designs to engineering teams as modularization of work tasks. Previous efforts have reviewed the different approaches to analyzing product modularization, but few studies have investigated developing a methodology that focuses on process applications. We begin this paper with an overview of current modularization methods and of the definitions of Global Engineering. Then we present the three-step modularization methodology in detail: 1.) decompose the design system and its functional specifications by a flow down technique, 2.) identify the couplings between the system parts and the functional requirements, and plot the interactions in a matrix, and 3.) modularize design work based on the identified couplings for worksharing. As a case study, we apply the method to a vehicle interior design. We conclude the paper by discussing the case study findings and the appropriate application of this analysis. We also explain the methodology’s limitations and propose future research opportunities.

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Influence of rail fastener stiffness on railway vehicle interior noise

Applied Acoustics ◽

10.1016/j.apacoust.2018.09.006 ◽

2019 ◽

Vol 145 ◽

pp. 69-81 ◽

Cited By ~ 7

Author(s):

Li Li ◽

David Thompson ◽

Yingsong Xie ◽

Qian Zhu ◽

Yanyun Luo ◽

...

Keyword(s):

Interior Noise ◽

Railway Vehicle ◽

Vehicle Interior ◽

Vehicle Interior Noise

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Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle

Structural Health Monitoring ◽

10.1177/1475921717744479 ◽

2017 ◽

Vol 17 (6) ◽

pp. 1425-1440 ◽

Cited By ~ 11

Author(s):

Eugene J OBrien ◽

Paraic Quirke ◽

Cathal Bowe ◽

Daniel Cantero

Keyword(s):

Longitudinal Profile ◽

Railway Track ◽

Railway Vehicle ◽

Vertical Acceleration ◽

Track Condition ◽

Inertial Response ◽

Measured Response ◽

Good Agreement

The use of sensors fixed to in-service trains has the potential to provide real-time track condition monitoring to inform maintenance planning. An Irish Rail intercity train was instrumented for a period of 1 month so that a numerical method developed to find track longitudinal profile from measured vehicle inertial responses could be experimentally tested. A bogie-mounted accelerometer and gyrometer measured vertical acceleration and angular velocity as the train made regular service operations between Dublin and Belfast on the island of Ireland. Cross entropy optimisation is used to find a track longitudinal profile that generates a numerical inertial response that best fits the measured response. Tolerance limits are used to inject variance where required to ensure a good match between measured and modelled signals. A section of track with known track settlement history is selected as a case study. A level survey was undertaken during the measurement campaign to characterise the longitudinal profile through the test section. Bandpass filters are used to compare inferred profiles and the surveyed profile. Good agreement is found between the two profiles although improvements in accuracy and reproducibility are required before conformance with current standards is achieved.

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Dynamic Stress Analysis of Coupled Vehicle-Suspension Bridge System in Cross Wind

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.353-356.3328 ◽

2013 ◽

Vol 353-356 ◽

pp. 3328-3333

Author(s):

Zhi Wei Chen ◽

Qi Li

Keyword(s):

Stress Responses ◽

Dynamic Stress ◽

Local Stress ◽

Suspension Bridge ◽

Wind Loading ◽

Railway Vehicle ◽

Suspension Bridges ◽

Bridge Model ◽

Bridge System

Dynamic stress computation of long suspension bridges under both railway and wind loading is required for either strength or fatigue assessment. However, the effect of dynamic coupling among bridge, railway vehicle and wind on bridge stress response is not well understood. This paper presents a method for predicting bridge dynamic stress responses with coupling effects included. The bridge model (bridge subsystem) and vehicle model (vehicle subsystem) are established using the finite element method, and they are related to each other through wheel-rail contact conditions. The spatial distribution of both buffeting forces and self-excited forces over the bridge deck surface is considered to facilitate the computation of local stress responses. The Tsing Ma suspension bridge in Hong Kong and the data recorded by a Wind and Structural Health Monitoring System (WASHMS) installed in the bridge are utilized as a case study to verify the proposed method to some extent. The railway loading and wind speed measured by the WASHMS are taken as input for the computation simulation. The computed local stress responses are compared with the measured ones. The results from the case study demonstrate that the proposed method could effectively predict the local stress responses of the coupled traffic vehicles and suspension bridge system in cross winds.

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Analysis of the electromagnetic emission of a railway vehicle according to the EN 50121-3-1 standard: a case study

2020 International Symposium on Electromagnetic Compatibility - EMC EUROPE ◽

10.1109/emceurope48519.2020.9245630 ◽

2020 ◽

Author(s):

Siriana Paonessa ◽

Walter Picariello ◽

Luca Bocciolini ◽

Carmine Zappacosta ◽

Stefano Di Pascoli ◽

...

Keyword(s):

Electromagnetic Emission ◽

Railway Vehicle

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Redesigning a Small Car Segment Vehicle Interior: A Case Study Focusing on Driver Information

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120705101708 ◽

2007 ◽

Vol 51 (17) ◽

pp. 1034-1038

Author(s):

Colleen Serafin ◽

Rebecca Paskaramoorthy

Keyword(s):

Human Factors ◽

Automotive Industry ◽

Emerging Technologies ◽

Instrument Cluster ◽

Vehicle Interior ◽

Current Process

In the automotive industry, a significant amount of resources are invested in demonstration vehicles that showcase innovative, emerging technologies. The process undertaken to build a demonstration vehicle is quite extensive, bringing together many disciplines within an organization as well as partners and suppliers from other industries. In this paper, the current process is described in detail, using a case study as an example. The areas of the demonstration vehicle that are most affected by human factors, namely the driver information areas (e.g., the center stack systems and instrument cluster), are the focus of this paper.

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