Estimating Normal and Tangential Forces in Tires through Ionic Liquid-Based Flexible Sensors

ABSTRACT Measuring normal and tangential forces on tires is crucial for enhancing tire performance under various road conditions and environmental settings. The measurement of these forces has been challenging because of limitations in sensing technology related to rigidity, durability, and sensitivity. This research introduces an innovative method that utilizes flexible sensors made of ionic liquid to address the limitations. Through the utilization of the distinctive properties of ionic liquids, such as their flexibility, enhanced sensitivity, and exceptional stability, a multilayer sensor has been manufactured. This sensor consists of carbon nanotube electrodes, ionic liquid dispersed in polymer creating a pressure-sensitive layer, and polymer insulating layers. The focus of this study is on the development of the sensor and understanding how its output changes under varying normal and tangential forces. Preliminary testing has shown that the sensor exhibits distinct and measurable responses to both force components, highlighting its potential for accurate force differentiation. The research evaluates the sensor’s performance and efficacy under varied force conditions, demonstrating its capability to accurately measure both normal and tangential forces. Such measurements are vital for the development of intelligent tires, offering deeper insights into critical tire parameters such as braking or traction force coefficients, contact patch characteristics, vehicle dynamics, and road surface conditions, leading to the improvement of safety, efficiency, and performance of tires.

Authors

Institutions

Publication Details

Journal
Tire Science and Technology
Published
2025-02-07
DOI
https://doi.org/10.2346/tst-24-020
Citations
6
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.04
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating Normal and Tangential Forces in Tires through Ionic Liquid-Based Flexible Sensors

Jaewon Choi, Md Jarir Hossain, Shahba Tasmiya Mouna
6 citations
Tire Science and Technology
Advanced Sensor and Energy Harvesting Materials
4.04
article

Estimating Normal and Tangential Forces in Tires through Ionic Liquid-Based Flexible Sensors

Jaewon Choi, Md Jarir Hossain, Shahba Tasmiya Mouna
article en
6 citations

Abstract

ABSTRACT Measuring normal and tangential forces on tires is crucial for enhancing tire performance under various road conditions and environmental settings. The measurement of these forces has been challenging because of limitations in sensing technology related to rigidity, durability, and sensitivity. This research introduces an innovative method that utilizes flexible sensors made of ionic liquid to address the limitations. Through the utilization of the distinctive properties of ionic liquids, such as their flexibility, enhanced sensitivity, and exceptional stability, a multilayer sensor has been manufactured. This sensor consists of carbon nanotube electrodes, ionic liquid dispersed in polymer creating a pressure-sensitive layer, and polymer insulating layers. The focus of this study is on the development of the sensor and understanding how its output changes under varying normal and tangential forces. Preliminary testing has shown that the sensor exhibits distinct and measurable responses to both force components, highlighting its potential for accurate force differentiation. The research evaluates the sensor’s performance and efficacy under varied force conditions, demonstrating its capability to accurately measure both normal and tangential forces. Such measurements are vital for the development of intelligent tires, offering deeper insights into critical tire parameters such as braking or traction force coefficients, contact patch characteristics, vehicle dynamics, and road surface conditions, leading to the improvement of safety, efficiency, and performance of tires.

Tire Science and TechnologyVol. 53(2)
University of Akron (US)
Openalex Percentile: Top 7%
Advanced Sensor and Energy Harvesting Materials
4.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.