A predictive model of energy savings from top of rail friction control

Joel VanderMarel, Donald T. Eadie, Kevin D. Oldknow, Simon Iwnicki

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In this paper the authors present a predictive model of train energy requirements due to the application of a top of rail friction modifier (TOR-FM) versus dry wheel/rail conditions. Using the VAMPIRE® Pro simulation package, train energy requirements are modeled for two sets of TOR-FM frictional conditions, one using full Kalker coefficients and the other by using a Kalker coefficient of 18%. Both scenarios use a top of rail saturated coefficient of friction of 0.35. Under both TOR-FM frictional conditions, train energy savings are shown for complete laps of the Transportation Technology Center Inc.'s (TTCI) Transit Test Track (TTT) loop, and also when isolating only the tangent section of the loop. However, the magnitude of energy savings varies greatly depending on the Kalker coefficient factor used, highlighting the need to model this relationship as accurately as possible. These simulation results are compared with data obtained from a field study, in which train energy savings of 5.3% (lap) and 7.8% (tangent) are shown due to the application of TOR-FM.

Original languageEnglish
Pages (from-to)155-161
Number of pages7
JournalWear
Volume314
Issue number1-2
DOIs
Publication statusPublished - 15 Jun 2014

Fingerprint

rails
Rails
Energy conservation
friction
Friction
energy requirements
tangents
energy
coefficients
transit
wheels
coefficient of friction
Wheels
simulation

Cite this

VanderMarel, Joel ; Eadie, Donald T. ; Oldknow, Kevin D. ; Iwnicki, Simon. / A predictive model of energy savings from top of rail friction control. In: Wear. 2014 ; Vol. 314, No. 1-2. pp. 155-161.
@article{fcd2b12fef324132a7e7e421421ddf5a,
title = "A predictive model of energy savings from top of rail friction control",
abstract = "In this paper the authors present a predictive model of train energy requirements due to the application of a top of rail friction modifier (TOR-FM) versus dry wheel/rail conditions. Using the VAMPIRE{\circledR} Pro simulation package, train energy requirements are modeled for two sets of TOR-FM frictional conditions, one using full Kalker coefficients and the other by using a Kalker coefficient of 18{\%}. Both scenarios use a top of rail saturated coefficient of friction of 0.35. Under both TOR-FM frictional conditions, train energy savings are shown for complete laps of the Transportation Technology Center Inc.'s (TTCI) Transit Test Track (TTT) loop, and also when isolating only the tangent section of the loop. However, the magnitude of energy savings varies greatly depending on the Kalker coefficient factor used, highlighting the need to model this relationship as accurately as possible. These simulation results are compared with data obtained from a field study, in which train energy savings of 5.3{\%} (lap) and 7.8{\%} (tangent) are shown due to the application of TOR-FM.",
keywords = "Contact mechanics, Energy savings, Friction modifiers, Vehicle modeling",
author = "Joel VanderMarel and Eadie, {Donald T.} and Oldknow, {Kevin D.} and Simon Iwnicki",
year = "2014",
month = "6",
day = "15",
doi = "10.1016/j.wear.2013.11.037",
language = "English",
volume = "314",
pages = "155--161",
journal = "Wear",
issn = "0043-1648",
publisher = "Elsevier BV",
number = "1-2",

}

A predictive model of energy savings from top of rail friction control. / VanderMarel, Joel; Eadie, Donald T.; Oldknow, Kevin D.; Iwnicki, Simon.

In: Wear, Vol. 314, No. 1-2, 15.06.2014, p. 155-161.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A predictive model of energy savings from top of rail friction control

AU - VanderMarel, Joel

AU - Eadie, Donald T.

AU - Oldknow, Kevin D.

AU - Iwnicki, Simon

PY - 2014/6/15

Y1 - 2014/6/15

N2 - In this paper the authors present a predictive model of train energy requirements due to the application of a top of rail friction modifier (TOR-FM) versus dry wheel/rail conditions. Using the VAMPIRE® Pro simulation package, train energy requirements are modeled for two sets of TOR-FM frictional conditions, one using full Kalker coefficients and the other by using a Kalker coefficient of 18%. Both scenarios use a top of rail saturated coefficient of friction of 0.35. Under both TOR-FM frictional conditions, train energy savings are shown for complete laps of the Transportation Technology Center Inc.'s (TTCI) Transit Test Track (TTT) loop, and also when isolating only the tangent section of the loop. However, the magnitude of energy savings varies greatly depending on the Kalker coefficient factor used, highlighting the need to model this relationship as accurately as possible. These simulation results are compared with data obtained from a field study, in which train energy savings of 5.3% (lap) and 7.8% (tangent) are shown due to the application of TOR-FM.

AB - In this paper the authors present a predictive model of train energy requirements due to the application of a top of rail friction modifier (TOR-FM) versus dry wheel/rail conditions. Using the VAMPIRE® Pro simulation package, train energy requirements are modeled for two sets of TOR-FM frictional conditions, one using full Kalker coefficients and the other by using a Kalker coefficient of 18%. Both scenarios use a top of rail saturated coefficient of friction of 0.35. Under both TOR-FM frictional conditions, train energy savings are shown for complete laps of the Transportation Technology Center Inc.'s (TTCI) Transit Test Track (TTT) loop, and also when isolating only the tangent section of the loop. However, the magnitude of energy savings varies greatly depending on the Kalker coefficient factor used, highlighting the need to model this relationship as accurately as possible. These simulation results are compared with data obtained from a field study, in which train energy savings of 5.3% (lap) and 7.8% (tangent) are shown due to the application of TOR-FM.

KW - Contact mechanics

KW - Energy savings

KW - Friction modifiers

KW - Vehicle modeling

UR - http://www.scopus.com/inward/record.url?scp=84898789233&partnerID=8YFLogxK

U2 - 10.1016/j.wear.2013.11.037

DO - 10.1016/j.wear.2013.11.037

M3 - Article

VL - 314

SP - 155

EP - 161

JO - Wear

JF - Wear

SN - 0043-1648

IS - 1-2

ER -