Tire Performance Research Articles

Influence of sand moisture content on mixed service truck tire performance using advanced hybrid techniques

This paper focuses on investigating the effect of sand moisture content on the performance of a Mixed Service Drive (MSD) truck tire of size 315/80R22.5. The truck tire is modeled using multiple layers and materials within a Finite Element Analysis (FEA) environment. Moist sand is modeled using the Smoothed-Particle Hydrodynamics (SPH) technique. Initially, dry sand is modeled using a hydrodynamic elastic-plastic material, while water is modeled using the Murnaghan equation of state. The numerical interaction between the sand and water is identified using Darcy’s law. The moisture content of the sand is then calibrated using direct shear-strength tests and validated against physical measurements conducted in a laboratory under similar sand conditions. The tire-sand interaction is defined using a hybrid FEA-SPH interaction model, and a non-symmetric node-to-segment contact with edge treatment contact algorithm. The tire tractive performance including tractive effort, motion resistance coefficient, and tire sinkage was examined under various operating conditions, including different sand moisture content levels and tire longitudinal speeds.

Tire Performance and Testing under Longitudinal and Combined Slip States: Induced vs Resultant Wheel-Related Slip

ABSTRACT Tires influence many overall vehicle characteristics, including safety, performance, comfort, and handling. Testing is needed to characterize tires for the selection of original equipment manufacturers submissions as well as for the development of other suspension and chassis components. The reality that tire responses are highly nonlinear and change significantly with temperature, wear, and surface pairing makes testing to adequately characterize tires for vehicle development difficult. Furthermore, achieving robust, repeatable braking and driving measurements is particularly challenging. Unlike cornering tests, the test rig input is directly opposed to the tire response vector. Moreover, using an estimated parameter (e.g., slip ratio) as a control value prohibits a clear distinction between the linear test rig input and the nonlinear tire response. In this paper, the influence of the wheel-related slip control on tire performance under longitudinal and combined slip conditions is investigated. Two different tire types are measured in a laboratory environment on an MTS Flat-Trac CT+ tire test rig. A variety of test procedures are used to consider the influence of slip and torque rates under different operating conditions (e.g., wheel loads). A recommendation is given for a low-wear and cost-efficient testing methodology for an improved assessment of tire longitudinal and combined slip characteristics by using a linear test rig input.

Influence of tyre construction parameters on cavity noise amplification and its impact on electric vehicles

When the tyre rolls over a macro uneven road surface, it starts to vibrate which is responsible for cavity noise excitation. This excitation range typically lies between 180-250 Hz for passenger car tyres. With the rise of electric vehicles in the market, vehicle interior noise is becoming a key demand from OEMs across the globe. It is therefore paramount to understand how tyre parameters such as cavity, construction, compounds and reinforcements excite this cavity noise under tyre operating conditions such as inflation pressure, pre-load and vehicle speeds. External cavity noise reduction methods such as foam technology in tyres can help reduce this excitation. However, this also leads to other challenges such as increased product costs. This investigation therefore, shows possible solutions to minimize the impact of cavity noise amplification.

Проблемы повышения эффективности эксплуатации пневматических шин на самоходных машинах для подземных горных работ

The article presents the challenge of improving the efficiency of pneumatic tires for self-propelled underground mining machines. The absence of manufacturers of large-size tires in Russia is noted. A brief description of mining machines and requirements to their tires are presented. It is established that tires need to be designed for specific operating conditions and with due account of the equipment they will be used with. Examples of challenges in operation of pneumatic tires on mining machines are given. Withdrawal of famous brands from the Russian market, that internally developed regulations on tire selection in order to protect their brands and improve the product quality, revealed the problem of insufficient regulatory framework for rational selection of tires for mining machines. In this connection, the urgency is growing to create a domestic standardized approach to the selection of tires for mining machines depending on the operating conditions and the type of the mining machine, that should become a national standard. In conclusion, it is noted that the lack of a standardized approach to the selection of pneumatic tires for mine machines leads to economic losses of mining enterprises.

Measurement of Contact Patch Pressure Behaviors in High-Speed Dynamic Conditions

ABSTRACT Many of the challenging problems in tire dynamics are related to what happens inside the contact patch. Important tire performance attributes such as grip/friction, wear, and noise are all directly related to the contact patch. Calspan and its technology partner Tekscan have developed a novel sensor system that measures the contact patch pressure of the tire as it is rolling at high speed on a flat-belt tire test machine. The measurement results provide detailed insights into the dynamic contact patch pressure (DCPP) in a wide range of realistic and relevant operating conditions on a flat roadway surface. The contact patch behaviors of three tires of similar size and type, but from different manufacturers, were compared. The results highlight how differences in tire design decisions influence the contact patch behavior and in turn the overall tire performance. Additional applications of the DCPP data are presented and discussed.

Comprehensive Grounding Performance Evaluation of Tires Based on the Analytic Hierarchy Process

ABSTRACT The contact patch between tire and road surface has a direct impact on tire grounding performance. Acquiring tire grounding performance either by testing or simulation is not only time intensive but comes at a high cost. This paper proposes an effective means of evaluating tire grounding performance based on the tire-ground contact pressure distribution. This paper adopts fifteen characteristics to describe the tire-ground contact patch in which twelve structural schemes were designed for a certain type of tire. By using the simulation test method, the grounding performance characteristics such as grip performance, rolling resistance, wear performance, and the tire footprint characteristics were obtained. Correlation analysis was used to explore the relationship between tire grounding performance and footprint characteristics. Based on the correlation analysis and expert judgement, the analytic hierarchy process (AHP) model for comprehensive grounding performance evaluation of a tire was constructed. Then judgment matrix of the AHP model was established, and the consistency or otherwise of the judgment matrix was verified. The model was then used to evaluate and predict the four design schemes of tires. The evaluation results were in good agreement with the simulation test results, which shows that the construction method of the tire comprehensive grounding performance evaluation system proposed in this paper is practical. It is also evident that grounding performance evaluation of a tire based on the tire footprint is feasible.

Design and Implementation of Intelligent Tire Detection System Based on Esp8266 IoT Platform and Deep Learning Technology

<p>傳統上，市售的胎壓偵測系統(TPMS)僅能透過測量胎壓、胎溫來判斷輪胎狀態，無法即時檢測如：輪框變形、胎面異常剝離、輪胎附著異物、異常抖動及打滑等的輪胎異常狀況，若駕駛有所疏忽，將造成嚴重的危害。因此，我們研究設計一套智慧輪胎系統，透過量測輪胎運行間的慣性感測資訊，包含：三軸加速度、角速度、絕對方向，再結合 AI 演算法之辨識技術，動態檢測出輪胎異常狀況，並實作設計下述物聯網平台元件 : 1.安裝於輪框上之硬體裝置，可偵測輪胎行進間之異常數值，2.具即時監測與異常提醒、維修保養建議、車友討論平台等功能之手機應用程式，3.基於深度學習神經網路技術辨識各式輪胎異常狀況，4.建立跨平台智慧輪胎網頁介面供職業車隊管理停車場。經實驗測試結果，本系統的 AI 判讀準確率高達 99.17%。</p> <p> </p><p>The tire pressure monitoring system (TPMS) sold on the market can only judge the tire status by measuring the tire pressure and tire temperature, and cannot detect such things as: wheel frame deformation, abnormal tread peeling, foreign objects attached to the tire, abnormal vibration and skidding, etc. If the tire is abnormal, if the driver is negligent, it will cause serious harm. Therefore, we design a set of smart tire system, through the measurement of inertial sensing information during tire operation, including: three-axis acceleration, angular velocity, absolute direction, combined with the identification technology of AI algorithm, dynamically detect abnormal tire conditions, and Realize the design of the following IoT platform components: 1. The hardware device installed on the wheel frame can detect abnormal values during tire travel. 2. It has real-time monitoring and abnormal reminders, maintenance suggestions, and a discussion platform for riders, etc. Functional mobile phone application, 3. Based on deep learning neural network technology to identify various tire abnormalities, 4. Establish a cross-platform smart tire web interface for professional fleets to manage parking lots. According to the experimental test results, the AI interpretation accuracy rate of this system is as high as 99.17%.</p> <p> </p>

Effect of Porters Generic Strategies on Firm Performance of Tyre Dealers in Nairobi County, Kenya

The study sought to assess the effect of Porter’s generic strategies on firm performance of Tyre dealers within Nairobi County. The study adopted a descriptive research design. The population of the study were tyre dealers in Nairobi County. A sample of 200 tyre dealers was picked through random sampling in Nairobi County. Out of the targeted tyre dealers that were picked through simple random sampling, 108 were responsive indicating a 54% response rate, this large sample ensured the reliability of the responses while the mode of the structure of the questionnaires guaranteed the validity of the data collected. After analysis of the data through correlation and multiple regression, it was deduced that there is a strong effect of Porter’s generic strategies on firm performance, with a strong correlation coefficient of 0.975, 0.928 and 0.976 for cost leadership, differentiation and focus respectively. Multiple regression deduced that 95.2% of firm performance was attributed to cost leadership, differentiation and focus strategies based on the regression model. Based on the regression model cost leadership has a deduced coefficient of 0.84 implying that an increase in a unit of firm performance is due to an increase in 0.84 unit of cost leadership. Differentiation generated a co-efficient of 0.09 implying an increase in one unit of performance due to an increase in 0.09 unit of differentiation Focus strategy deduced a co-efficient of -0.05 implying a reduction of a unit of performance by an increase in practice of focus by 0.05. This overall indicated that cost leadership and differentiation have a positive effect on performance while focus strategy has a negative effect on firm performance.

Utilization of biosilica for energy-saving tire compounds: Enhancing performance and efficiency

Abstract Energy-saving tires have been developed by researchers in the industry in order to minimize hysteresis loss. In general, this is achieved by combining precipitated silica sourced from silica sand with a silane coupling agent. This strategic reaction serves to elevate the performance characteristics of tread tire, effectively enhancing their properties. Therefore, this research is aimed to investigate the utilization of commercially available biosilica compared to high dispersed (HD) silica, examining their potential as reinforcing agents in the composition of passenger tread tire compound. This compound was formulated using a blend of solution styrene-butadiene rubber (SSBR) and butadiene rubber (BR). A comprehensive analysis was conducted to assess the impact of varying ratios between biosilica and HD silica on the mechanical and dynamic properties of tread tire compound composed of SSBR and BR blend. The results showed that the incorporation of biosilica could effectively reduce the filler network resulting in better dispersion of biosilica in the SSBR/BR blend matrix. As a result, it improved wet grip (44%) and rolling resistance (26%) while maintaining abrasion resistance compared with HD silica in passenger tread tire compound. The application of biosilica as an eco-friendly reinforcement material exhibited its potential for elevating the performance of energy-efficient tread tire.

Influence of oligomeric resins on natural rubber-carbon black-silica composites for tire tread application

The investigation aims to understand the impact of different resins on properties of natural rubber (NR) based tire tread composites, providing valuable insights for the optimization of tire performance. In current research six different types of resins, namely rosin modified dicyclopentadiene(DCPD), gum rosin, C5 aliphatic resin, alpha methyl styrene (AMS) resin, koresin and terpene phenol resin, were selected for assessing structural influence of resins on cure characteristics, reinforcement, abrasion resistance, cut-tear resistance, heat-build-up, viscoelastic properties of carbon black-silica loaded NR composites. During mixing of rubber composites, condensation reaction between hydroxyl groups of silica with phenolic groups of koresin and terpene phenol resin, leading to elimination of water molecules was confirmed by Fourier transform infrared spectroscopy. The addition of resins led to a reduction in crosslink density, maximum torque and delta torque. The compounds with gum rosin and rosin modified DCPD showed lower crosslink densities translating into lower tensile strength, lower stress at 100%, 200%, 300% strain, and higher elongation at break among the resins. Rosin modified DCPD based composite exhibited the highest cut growth resistance and tear strength. Rolling resistance indicator (tanδ@70 °C) of resin-based composites followed the order: gum rosin > rosin modified DCPD > koresin > C5 resin > terpene phenol resin > AMS resin. The snow traction (tanδ@-15 °C), the order was: AMS = C5 > gum rosin > terpene phenol = koresin > rosin modified DCPD. The dynamic stiffness (É) of the gum rosin-based compound was significantly increased at low strain (0.1%) and low temperatures (-80–20 °C) compared to other resins. Furthermore, atomic force microscopy was employed to analyze surface topography and roughness of the resin-based NR composites, providing valuable insights into interfacial characteristics.

О проблеме безопасной эксплуатации крупногабаритных шин

The issues of operating large tires in the conditions of mining enterprises do not lose their relevance, since the costs of their acquisition and maintenance are among the main expense items of the mining transport enterprises. Lack of control over the thermal state and pressure of the large tires in many cases leads to both significant economic damage in the event of a fire or explosion, and a threat to the life and health of the employees. It is required to take into account that a large tire is a multi-ton product that is constantly under high pressure. The combination of such properties of the tires under consideration as large weight and dimensions, high pressure, is in itself a potentially dangerous factor that requires increased attention. Therefore, it is vitally important for the employees working near large tires, especially dump truck drivers, to be confident in their technical serviceability. This can only be achieved through constant monitoring of their thermal state and pressure. Thermal destruction of the large tires is due to the fact that during operation, due to the deformation and internal friction of the tire carcass elements during rolling, excess heat generation occurs. At the same time, the main materials and adhesives used to produce tires are very sensitive to high temperatures. Excessive heat generation weakens and destroys the bonds between tire structural elements and causes restructuring of the rubber. Thermal failure of large tires can be a consequence of exceeding the standard performance indicator, as well as their operation at low pressure. Both of these factors equally require attention from the specialists in the operation department of a mining and transport enterprise. Since the large tires do not have obvious signs of their critical condition, it is not possible to detect the characteristic features of the onset of thermal destruction by visual inspection (rubber restructuring and delamination occurs in the inner layers of the tire). The article provides an example of improving the safety of operation of the large tires at one of the Kuzbass coal mining enterprises by introducing systems for monitoring the thermal state and internal pressure of tires. The measures taken and the results achieved are described.

Reutilization of scrap tyre for the enhanced removal of phthalate esters from water: immobilization performance, interaction mechanisms, and application

Waste scrap tyre as microbial immobilization matrix enhanced degradation of phthalate esters (PAEs), di (2-ethylhexyl) phthalate (DEHP), dibutyl phthalate (DBP), and diethyl phthalate (DEP). The hybrid (physical adsorption and microbial immobilization) degradation process performance of scrap tyres was examined for the PAEs degradation. The scrap tyre was shown with competitive adsorption capacity toward PAEs, influenced by pH, temperature, dosage of adsorbent (scrap tyre), and concentration of PAE. The primary adsorption mechanism for tyres toward PAEs was considered hydrophobic. The immobilization of previously isolated Bacillus sp. MY156 on tyre surface significantly enhanced PAEs degradation as well as bacterial growth. The enzymatic activity results implied immobilization promoted dehydrogenase activity and decreased esterase activity. The cell surface response during PAEs degradation, in terms of morphological observation, FTIR and XRD analyses, and extracellular polymeric substance (EPS) release, was further assessed to better understand the interactions between microorganisms and tyre surface. Waste scrap tyres could be a promising potential candidate to be reused for sustainable environmental management, including contaminants removal.

A THREE-DIMENSIONAL TIRE REF MODEL IN ROLLING CONTACT WITH APPLICATION TO INTELLIGENT TIRES

ABSTRACT A new three-dimensional tire REF (ring on elastic foundation) model in rolling contact has been proposed and verified in this paper. The motivation is to apply this new physical model to the three-dimensional forces estimation for intelligent tires, which is currently a research hotspot in the automotive industry. The core contribution is the analytical solution of the three-dimensional tire deformation, stress, and forces in complex rolling contact. This new physical model is universal and efficient in linking intelligent tire signals with the solution results, which provides a powerful theoretical tool for intelligent tire modeling. Furthermore, the results have been validated by sensitivity analysis of key structural parameters on tire performance. In summary, through the modeling, verification, and application in case studies, it has been shown that the proposed methodology can be used for real practical three-dimensional forces estimation, which has the potential to simplify the vehicle state observer and benefit autonomous vehicles.

A data-driven framework for forecasting transient vehicle thermal performances

Transient vehicle dynamics are deeply affected by the spatial distribution of tire temperature, heat generation, and heat dissipation capacity. However, the tire testing process involves numerous parameters, adding the complexity to monitoring the tire’s thermal properties variation. To address this issue, this paper proposes a data-driven framework that combines the well-known Magic Formula with scaling factors and a long- and short-term memory (LSTM) neural network. The framework forecasts tire thermal properties and functionality under given conditions by learning from time-series data on tire operating conditions and mechanical characteristics. It predicts future spatially varying thermal properties of the tire, including temperatures, heat generation, and heat dissipation. This is achieved with a high degree of forecasting ability quantified by train size/test size ratios equaling 22 and 38% with an impressive Relative Root Mean Square Error (RRMSE) around 1−2%. Here, this framework is applied to quantify the impacts of various operating conditions, including vertical load, slip angle, and vehicle speed, on heat transfer for three crucial radial positions on the tire. Our results show that the vertical load is the primary influencing parameter among all operating conditions. The knowledge about transient tire dynamics will be advantageous to their performance optimization.

Topological Shape Optimization Design of the Whole Bead of 265/35R18 Steel-Belted Radial Tire

The tire bead, as the most important load-bearing component at the bead area, is closely related to the durability of the tire, but its structure is developing slowly. For this reason, the topological whole bead design was proposed, although it performs well, many defects existed due to the design based on traditional experience. Therefore, this paper studies the topology shape optimization algorithm, delves into the main criterion based on von Mises and the interlaminar shear stress, and provides guidance for the structurally optimal design of the 265/35R18 radial tire whole bead. The finite element simulation results show that the von Mises of the inner end of the chafer and the end of the carcass cord are reduced by 14.48% and 24.12%, respectively. The interlaminar shear stress decreased by 28.96% and 49.51%, respectively. The von Mises of chafer and carcass cord decreased by 13.17% to 40.36% and 7.71% to 20.51%, respectively. The optimization design is of great significance to further improve the safety performance of tires.

Development of a tire testing machine for evaluating the performance of tractor tires based on the soil compaction

Soil compaction, which is more effective than soil shear owing to the weight of tractor tires, reduces sugarcane cultivation. Instead of a field study, a single-wheel tester is more suitable for studying the tractor tire tracks on a soil bin in a laboratory. However, the soil compaction measurement is time consuming and analyzes the bulk density only at the sampling point of the track. In this study, a tire-testing machine (TTM) was developed to evaluate tractor tire performance based on soil compaction. A 3D scanner was employed to model the tractor tire track on a sandy clay loam soil, which is suitable for sugarcane planting in Thailand. Mathematical models for soil bulk density prediction were proposed and used to transform the 3D footprint model into a 3D color contour of the soil bulk density. The soil compaction effect of tractor tires at three different tread depths was evaluated. It was found that deeper treads caused higher soil bulk density than shallow treads. Static tires induce greater soil bulk density than rolling tires. This novel TTM with measurement techniques is a novel method for evaluating the tire-soil compaction in crop fields. It can also guide farmers to purchase suitable agricultural tires.

Topological Optimization of Non-Pneumatic Unique Puncture-Proof Tire System Spoke Design for Tire Performance

<div>Non-pneumatic tires (NPTs) have been widely used due to their advantages of no occurrence of puncture-related problems, no need of air maintenance, low rolling resistance, and improvement of passenger comfort due to its better shock absorption. It has a variety of applications as in earthmovers, planetary rover, stair-climbing vehicles, and the like. Recently, the unique puncture-proof tire system (UPTIS) NPT has been introduced for passenger vehicles segment. The spoke design of NPT-UPTIS has a significant effect on the overall working performance of tire. Optimized tire performance is a crucial factor for consumers and original equipment manufacturers (OEMs). Hence to optimize the spoke design of NPT-UPTIS spoke, the top and bottom curve of spoke profile have been described in the form of analytical equations. A generative design concept has been introduced to create around 50,000 spoke profiles. Finite element model (FEM) model is developed to evaluate the stiffness and damage-resisting performance of NPT-UPTIS spoke. The FEM methodology has also been validated with average accuracy of more than 95% for experimental vertical stiffness for commercial NPT-Tweel. The stiffness and damage-resisting performance of generated designs have been predicted with the help of machine learning regression models, which were trained on the FEM results of 200 such designs. These 50,000 generated designs have been categorized in four different categories based on different level of stiffness and damage resistance performance. In this study, one optimized design from each category has been selected and their performance have been validated with 3D FEM simulation. It has been found that the suggested topology optimization approach is efficient to generate UPTIS spoke designs with having ±30% stiffness with 17%, 40%, and 56% more damage resistance performances with respect to the starting reference design.</div>

Finite element analysis of studded tyre performance on snow: a study of traction

This paper presents a finite element analysis (FEA) model of a studded tyre rolling on snow. The model takes into account the mechanical properties of both the tyre and the snow, as well as the interactions between them. The FEA simulations were performed using single set of 99 studs with constant compaction depth, and the results were compared to experimental data. The study found that the studded tyre was able to significantly improve traction on snow-covered roads by a minimum factor of 1.17 at −50% slip and a maximum factor of 1.5 at an interval of 50% to 100% slip, compared to non-studded tyre, and that the FEA model accurately predicted the tyre’s behaviour in these conditions. The results of this study can be used to optimise the design of studded tyres and to improve the safety of vehicles in snowy conditions.

A THREE-DIMENSIONAL TIRE RING ON ELASTIC FOUNDATION MODEL IN ROLLING CONTACT WITH APPLICATION TO INTELLIGENT TIRES

ABSTRACT A new three-dimensional tire ring on elastic foundation model in rolling contact has been proposed and verified. The motivation is to apply this new physical model to the three-dimensional forces’ estimation for intelligent tires, a current research challenge in the automotive industry. The core contribution is the analytical solution of the three-dimensional tire deformation, stress, and forces in complex rolling contact. This new physical model is universal and efficient in linking intelligent tire signals with the solution results, thereby providing a powerful theoretical tool for intelligent tire modeling. Furthermore, the results have been validated by sensitivity analysis of key structural parameters on tire performance. In summary, through modeling, verification, and application in case studies, it has been shown that the proposed methodology can be used for real, practical three-dimensional forces estimation, offering the potential to simplify the vehicle state observer and benefit autonomous vehicles.

Impact of camber angle on the tire tread behaviour in different road conditions

The camber angle is one of the wheel alignment properties that is crucial as a slight change to the orientation of the camber angle determines the lifespan of a tire. The stress distribution on the innermost of a tire increase as the positive camber angle is increased, and vice versa, which causes the abnormal uneven premature wear of the tire. This research is done with the main objectives to simulate the performance of tires concerning the camber angle by using the finite element analysis method, and to study the influence of camber angle on different tire tread patterns under two different road conditions, i.e., smooth road and irregular road. Three tire models with different tire tread patterns and two different road conditions are developed using SolidWorks while the investigation of each tire performance is done through ANSYS under static condition in this research. Tire inflation analysis is performed using static structural analysis feature available in ANSYS where the total deformation and equivalent stress are determined based on the specific vertical load applied onto the tire, ignoring any damping effects and inertia. Boundary conditions and other relevant constraints are applied, and then mesh independent test is carried out to all tire models prior to performing the simulation. Based on the simulation results, the maximum total deformation increases as the camber angle increases in both road conditions, while the maximum equivalent stress does not show any trend. It is concluded that tire tread pattern influences the maximum equivalent stress experienced by the tire.