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Editorial Type:

Article Category: Research Article

|

Online Publication Date: 23 Dec 2020

Tire Science and Technology

Author Index to Volume 48

2020

Page Range: 354 – 356

DOI: 10.2346/0090-8657-48.4.354

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Comparison Between Tire Rolling Resistance Measurements on a Flat Track and a Test Drum Under Non-Steady-State Conditions

Lisa Ydrefors,

Mattias Hjort,

Sogol Kharrazi,

Jenny Jerrelind, and

Annika Stensson Trigell

Critical Plane Analysis of Surface-Proximal Fields for the Simulation of Thermo-Mechanical Wear

William V. Mars,

Thomas G. Ebbott,

Ethan C. Steiner,

Lewis Tunnicliffe, and

James Kollar

Enhancing Tire Model Parameterization for Rollover Simulation: A Validated Approach

C. Ludwig,

F. Birnbaum,

H. Abel,

H. Olsson, and

G. Prokop

Research on Fast and Efficient Virtual Sample Delivery Method of Tire Mechanical Characteristics

Wenhao Yang and

Lu Dang

Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network

Lars Muth,

Raphael Zharia,

Hürkan Sahin, and

Walter Sextro

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Comparison Between Tire Rolling Resistance Measurements on a Flat Track and a Test Drum Under Non-Steady-State Conditions

Lisa Ydrefors,

Mattias Hjort,

Sogol Kharrazi,

Jenny Jerrelind, and

Annika Stensson Trigell

Critical Plane Analysis of Surface-Proximal Fields for the Simulation of Thermo-Mechanical Wear

William V. Mars,

Thomas G. Ebbott,

Ethan C. Steiner,

Lewis Tunnicliffe, and

James Kollar

Enhancing Tire Model Parameterization for Rollover Simulation: A Validated Approach

C. Ludwig,

F. Birnbaum,

H. Abel,

H. Olsson, and

G. Prokop

Research on Fast and Efficient Virtual Sample Delivery Method of Tire Mechanical Characteristics

Wenhao Yang and

Lu Dang

Prediction of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network

Lars Muth,

Raphael Zharia,

Hürkan Sahin, and

Walter Sextro

Get Email Alerts

Get eTOC Alerts

Get Ahead of Print Alerts

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eISSN: 1945-5852

ISSN: 0090-8657

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