Tire Pressure Research Articles

Conceptual design of a new experimental setup to simulate aircraft tyre spin-up dynamics

PurposeThe first touchdown moment of aircraft tyres on a runway is the critical phase where maximum of the vertical and horizontal ground loads is produced. Some valuable drop tests have been performed at Langley research centre to simulate the touchdown and the spin-up dynamics. However, a long impact basin and a huge power source to accelerate and decelerate the landing gear mechanism have been used. Based on a centrifugal mechanism, the purpose of this paper is to propose the conceptual design of a new experimental setup to simulate the spin-up dynamics.Design/methodology/approachA schematic view of the proposed mechanism is presented, and its components are introduced. Operating condition of the system and the test procedure are discussed in detail. Finally, tyre spin-up dynamics of Boeing 747 is considered as a case study, and operating condition of the system and the related test parameters are extracted.FindingsIt is shown that the aircraft tyre spin-up dynamics can be simulated in a limited laboratory space with low energy consumption. The proposed setup enables the approach velocity, sink rate and vertical ground load to be adjusted by low power actuators. Hence, the proposed mechanism can be used to simulate the tyre spin-up dynamics of different types of aircraft.Research limitations/implicationsIt is important to note that more details of the setup, including the braking and actuating mechanisms together with their control procedures, should be clarified in practice. In addition, the curved path introduced as the runway will cause errors in the results. Hence, a compromise should be made between the tyre pressure, path curvature, the induced error and the cost of the experimental setup.Practical implicationsThe proposed experimental setup could be constructed in a limited space and at a relatively low cost. Low power actuators are used in the proposed system. Hence, in addition to the performance tests, fatigue tests of the landing gear mechanism will also be possible.Originality/valueBased on a centrifugal mechanism, the conceptual design of a new experimental setup is presented for simulating the tyre spin-up dynamics of aircraft. Considering that the drag load developed during tyre spin-up following initial touchdown is an important factor governing the design of the landing gear mechanism and aircraft structure, the authors hope this paper encourages engineers to continuously make efforts to increase the transparency of the touchdown process, enabling optimisation of landing gear design.

Efisiensi Rem Kendaraan Bermotor Mitsubishi L300 Tanpa Beban Dengan Variasi Persentase Tekanan Angin Ban

This study aims to analyze the effect of differences in tire pressure on brake testing at the Unit Pelaksana Teknis Daerah (UPTD) Motor Vehicle Testing, Solok Regency, the implementation of this analysis is to find the efficiency and deviation of the braking force on the tool. Test Brake Tester as well as the condition and calibration of the Brake Tester optimally so that the results of the test equipment are accurate so as to reduce errors in the test results. This research was conducted at the Motor Vehicle Testing Building, Solok Regency, with this research it is expected to be able to find the effect of differences in tire pressure on the efficiency and storage of the braking force. From the analysis that has been carried out, it can be concluded that different tire pressures affect the efficiency and deviation of the braking force on the Brake Tester, so it is necessary to check the tires regularly and once a year calibration of the test equipment must be carried out correctly.

Compressor-Powered Tyre Pressure System for Monitoring

Abstract: In the Indian subcontinent, where one in every three houses owns a two-wheeler, around fifteen million motorcycles are sold each year. Every year, the country manufactures 20 million two-wheelers. Severe underinflation can produce mechanical and thermal stress caused by overheating, which can cause the tyre to blow out soon. Failures of this type can lead to hazards and catastrophes that endanger not just the operator but also people around them or her. In accordance with median nation estimations, under-inflated tyres cause separation of the tread and tyre breakdown, leading to forty thousand mishaps, more than 33,000 damage, and over 700 fatal injuries per year. However, when the population of India has been taken into consideration, these percentages may rise due to an abundance of individuals possessing numerous 2-wheelers, getting little opportunity to personally check, as well as being unable to consistently get their automobiles examined at a maintenance facility. The difficulties will occur with greater regularity if the riders are unaware. The goal of this project is to develop and build an immediate tyre pressure monitoring system (TPMS), that utilises a pressure sensor in order to measure air pressure directly from the tyre.

Calculation of normal stiffness and contact patch of ultra-low pressure tires for agricultural machinery

BACKGROUND:The impact of tires on a deformable ground surface determines not only the ability of a vehicle to move, but also the pressure on ground through the contact patch geometric characteristics. The pressure on soil is normalized and limited by the conditions for the preservation of its agrophysical properties. Therefore, when creating vehicles for various purposes for their movement or movement of their trailers on deformable ground surfaces, it is required to calculate the pressure on ground in the design process. However, currently there are no universal dependencies for calculation of the mentioned parameters of ultra-low pressure tires. This applies to both vertical and inclined tire arrangement.
 AIMS:Development and implementation of universal methods for calculation of normal stiffness and con-tact patch parameters of ultra-low-pressure tires for agricultural machinery.
 MATERIALS AND METHODS:Software products such as MS Excel, MATLAB and Curve Expert Professional were used in modeling.
 RESULTS:The universal analytical-experimental dependence has been obtained to determine the normal stiff-ness of ultra-low pressure tires, including a possible inclination of the wheel rotation axis. The dependence takes into account tire pressure, normal wheel load, an inclination angle of the rotation axis and tire geometric characteristics. The formula is obtained for determining the contact patch contour area of an ultra-low pressure tire. It helps to calculate the current pressure on ground, which should not exceed the specified value.
 CONCLUSIONS:The method for calculation of normal stiffness and contact patch parameters such as contact length, contour area and contact pressure for ultra-low pressure tires has been developed and implemented. The method is universal for all ultra-low pressure tires.

Evaluation of Tires Acting on Soil in Field Conditions Using the 3D Scanning Method

This research presents the results of tests conducted under field conditions and included measuring the footprint of tires on soil. Two agricultural tires of the same size but different internal structures were tested, 500/50R17 (radial) and 500/50-17 (bias-ply). The factors were tire inflation pressure (0.8 bar, 1.6 bar, and 2.4 bar) and tire vertical load (7.8 kN, 11.8 kN, and 15.7 kN). The footprint made on the soil was scanned with a 3D scanner, resulting in a digital image of the tire footprint on the soil to enable an analysis of the measured parameters: length, width, depth, and contact area (in 3D form). Statistical analysis showed that for radial tire footprints, both inflation pressure and vertical load had a significant effect on all analyzed parameters. For bias-ply tire footprints, it was shown that only inflation pressure had a significant effect on all of the analyzed parameters, while the significance of the effect of the vertical load was not confirmed for the footprint depth. Based on the results obtained, the suitability of models describing the relationship between operating factors and the actual footprint area was verified. It was found that for a radial tire, the model formulated based on laboratory tests can predict the contact surface under field conditions (the correlation coefficient R2 was equal to 0.9226). In the case of a bias-ply tire, the correlation coefficient R2 reached a value equal to 0.5828. This indicates a less accurate estimation of the surface area under field conditions based on the model designed after laboratory testing.

Design and Verification of a Novel Energy Harvester for Tire Pressure Monitoring Systems

With the development of intelligent tires, the tire pressure monitoring system (TPMS) has become a standard safety feature in cars. However, the existing TPMS has limited ability to monitor tire pressure in real time due to the passive power supply device’s low power output. This work presents a conceptual design for a novel energy harvester for TPMS (NEH-TPMS) based on a mechanical structure to recover energy. The motion of the mechanical structure is driven by the deformation of the tire in contact with the ground. The energy is recovered and released by a spiral spring to accomplish the functions of power generation and charging. Mathematical models are created based on the NEH-TPMS’s movements. The simulation results indicate that the NEH-TPMS’s power generation capacity is greater than that of existing energy harvesters and can satisfy the TPMS’s power supply requirements. This work uses finite element analysis and hierarchical analysis to optimize the shape of the NEH-TPMS. The parameters of the spiral spring are optimized using simulated annealing and genetic algorithms. NEH-TPMS has been enhanced to provide greater energy storage capacity. Finally, a prototype was built to verify the structure’s feasibility. The experimental results are consistent with the simulated results. This NEH-TPMS offers an efficient means of enhancing the power generation efficiency of the passive power supply device for TPMS.

Dynamic Response Analysis of Airport Pavement under Impact Loading

The safety of the airport runway, as an infrastructure, is of considerable concern. The existing research has problems of hysteresis and unreasonable load application. In this paper, ANSYS is used to construct a coupled tire–pavement model to study the dynamic characteristics of airport asphalt pavements under impact loading. Taking the Boeing 737–800 as an example, the impact of an aircraft landing on an airport pavement is simulated by applying a dynamic load to the landing gear. The effects of tire pressure, landing pitch angle, and sinking speed on the dynamic response of the airport runway are investigated. The effects of each factor of the airport pavement are analyzed by comparing the maximum effective stress, effective strain, and displacement in the vertical direction at the same position of different structures. The results show that when the tire pressure is 2.0 MPa, the maximum values of effective stress, effective strain, and vertical displacement increase by 29.8%, 19.1%, and 22.2%, respectively, compared with 1.0 MPa. The maximum values of effective stress, effective strain, and vertical displacement at the 3.0 m/s sinking speed increase by 25.2%, 93.1%, and 77.1%, respectively, compared with that at the sinking speed of 1 m/s, which indicates that the effect of sinking speed on the dynamic response of the pavement is more significant. However, the change in the landing pitch angle has little impact on the response parameters of the pavement. Meanwhile, the flexural tensile stress at the bottom of the surface and the equivalent effect at the top of the soil foundation must be considered in the design of the airport pavement structure.

Influence of Changes in Stiffness and Damping of Tyre Wheels on the Outcome of the Condition Assessment of Motor Vehicle Shock Absorbers

This article deals with the influence of the elastic-damping properties (energy losses) of tired wheels on the results of the evaluation of the technical condition (dynamic properties) of automotive suspensions carried out on the diagnostic line. The purpose of this paper is to point out the inadequacies of test stands for assessing the technical condition of vehicle suspensions. The diagnostic line used in the testing featured two testing stations. The test object was a passenger car with hydro-pneumatic suspension. This enabled the conducting of suspension tests for two settings (comfort and dynamic positions). The tests were conducted for four different air pressures in the tyres of tired wheels. This made it possible to determine, for each wheel, four graphs of the load versus tyre deflection (radial stiffness characteristics). These graphs were used to determine the values of the stiffness coefficients, energy loss, and damping characteristics as well as to identify the correlation between the directional coefficient of the regression line of the elastic and damping characteristics of the tyres and the indices characterising the damping properties of the suspension of the test car. This paper shows that the result of the shock absorber condition assessment is significantly influenced by the elastic and damping properties of the tired wheels, caused by changes in tyre pressure.

Methodology for energy savings estimation, resulting from the development of a procedure for air pressure check in vehicle tires

The presented paper examines the possibilities of implementation of a methodology for evaluation of the energy savings, as a result of developed procedure for checking the air pressure in vehicle tires. The purpose of the developed methodology is to provide an opportunity to estimate energy consumption after checking the air pressure in the vehicle’s tires. The methodology is based on numerous experimental studies and analytical evaluation of fuel consumption as a function of tire pressure in vehicles. The conditions, the practical procedures and the sequence in the assessment of energy savings, after the introduction of the methodology for checking the air pressure in the tires of road vehicles, are defined. The methodology applies to road vehicles with a maximum mass of up to and over 3.5 tons with a nominal air pressure in the tires according to the manufacturer’s specifications. The data is summarized, based on the type of transport, number of vehicles, purpose of use - personal and business vehicles, tire pressure check, established average fuel consumption (gasoline, diesel and LPG) and average mileage of the study. Finally, a computational example is presented, proving that the methodology gives correct results for the evaluation of energy savings, after checking the air pressure in the tires of the vehicle.

INCREASING THE TRACTION AND TRACTION CHARACTERISTICS OF THE ENERGY VEHICLE WHEN CARRYING OUT COMBINED SOIL PROCESSING OPERATIONS

The article is devoted to the study of methods and means that help to improve traction and traction characteristics of power vehicles, in particular tractors, when performing combined operations of soil treatment. The article analyzes the impact of weight distribution, tire pressure, and the use of special devices on the quality of tillage operations. It was established that the efficiency of combined tillage operations depends on the level of traction and traction characteristics of the power tool. To increase traction characteristics of the tractor, it is proposed to use mathematical methods of increasing tire pressure and optimal weight distribution on the axle. The article also describes special devices for increasing traction resistance, which help to provide better traction and increase traction characteristics. This article examines the influence of soil parameters on traction and traction characteristics of an energy vehicle during combined soil treatment operations. It was found that soil indicators, such as moisture, density and fractional composition, have a significant impact on the quality of soil processing operations and traction characteristics of the tractor. To solve this problem, methods of increasing traction and traction characteristics are proposed, such as a mathematical method of increasing tire pressure and a method of optimal weight distribution on the suspension. The use of special devices to increase traction resistance, which help to ensure better traction and improve traction characteristics, is also considered. The research conducted by the authors can be useful for tillage and tractor maintenance specialists who are engaged in optimizing the operation of energy equipment at agricultural enterprises.

Lightweight Design and Structural Analysis of a Wheel Rim Using Finite Element Method and Its Effect on Fuel Economy and Carbon Dioxide Emission

Wheel rims made of metal alloy considerably impact the vehicle’s overall weight. Consequently, employing alloys in the design of wheels results in higher fuel efficiency and lower carbon dioxide emissions. Weight reduction of vehicles also leads to better acceleration. Lightweight automotive design has been increasingly popular in recent years as a means of conserving energy and protecting the environment. The rim is an essential feature of the vehicle since it bears a substantial portion of its overall weight. A vehicle’s weight can be greatly reduced by using a lightweight rim. However, the impact of a lightweight rim on improved fuel economy and reduced carbon dioxide emissions has not been widely explored. In this study, a wheel rim has been designed, and a finite element model has been developed considering radial load, where tire pressure has also been considered. A practical experiment with identical parameters had also been carried out. The values of equivalent stress, strain, and deformation for a metal and an alloy which is steel and cast aluminum alloy (A356.0), respectively, have been compared. In terms of structural stability, steel and cast aluminum alloy have shown fairly similar results based on equivalent stress and deformation. However, the use of cast aluminum alloy has greatly decreased the rim’s weight as a result of its low density and high specific strength. Additionally, the aluminum alloy rim has shown superior fuel efficiency and lower carbon dioxide emissions. According to the findings, cast aluminum alloy rims are more feasible when building a vehicle wheel rim since they minimize the wheel’s and vehicle’s weight while maintaining structural strength. It leads to less fuel consumption, which can save fuel costs and is important for energy conservation.

Wheel Odometry with Deep Learning-Based Error Prediction Model for Vehicle Localization

Wheel odometry is a simple and low-cost localization technique that can be used for localization in GNSS-deprived environments; however, its measurement accuracy is affected by many factors, such as wheel slip, wear, and tire pressure changes, resulting in unpredictable and variable errors, which in turn affect positioning performance. To improve the localization performance of wheel odometry, this study developed a wheel odometry error prediction model based on a transformer neural network to learn the measurement uncertainty of wheel odometry and accurately predict the odometry error. Driving condition characteristics including features describing road types, road conditions, and vehicle driving operations were considered, and models both with and without driving condition characteristics were compared and analyzed. Tests were performed on a public dataset and an experimental vehicle. The experimental results demonstrate that the proposed model can predict the odometry error with higher accuracy, stability, and reliability than the LSTM and WhONet models under multiple challenging and longer GNSS outage driving conditions. At the same time, the transformer model’s overall performance can be improved in longer GNSS outage driving conditions by considering the driving condition characteristics. Tests on the experimental vehicle demonstrate the model’s generalization capability and the improved positioning performance of dead reckoning when using the proposed model. This study explored the possibility of applying a transformer model to wheel odometry and provides a new solution for using deep learning in localization.

Tyre Pressure Monitoring System with Compressor

Abstract: Around 15 million two-wheelers are sold annually in India, where one in three homes has a two-wheeler. The country produces 20 million units of two-wheelers annually. Severe underinflation can result in mechanical and thermal stress brought on by overheating, which can very quickly cause the tyre to blow out. Failures of this nature may result in dangers and mishaps that jeopardise not only the rider but also those around him or her. Under-inflated tyres cause tread separation and tyre failure, resulting in 40,000 accidents, 33,000 injuries, and over 700 fatalities each year, according to average country estimates. However, when taking into account India's population, these figures may soar due to a high number of people owning more 2- wheelers, having less time to physically check, and being unable to routinely get their cars inspected at a repair facility. Without the riders' knowledge, the aforementioned issues will occur more frequently. This project focuses on designing and creating a direct tyre pressure monitoring system (TPMS), which uses a pressure sensor to measure air pressure taken straight from the tyre. The rider does not need to get out of his vehicle and manually pump air into his tyres when the TPMS detects a reduced tyre pressure because the TPMS and the compressor unit are working together to supply the air to the tyre. Energy is provided to the gadget either by a dynamo or a backup battery. To ensure consistency and accuracy in reporting the pressure and providing enough air to the tyre, the key components must be calibrated. Although there are numerous challenges and constraints, this prototype is a promising product for use in the real world.

Measuring the Quality of Driving Characteristics of a Passenger Car with Passive Shock Absorbers

The article deals with the quality of the driving characteristics of a passenger car with passive shock absorbers depending on the tire pressure. The work was solved using experimental methods using the AHS test bench. The main goal of the work was to assess the vehicle suspension system using acceleration sensors and pressures between the wheel and the road using shock absorber test benches using the EUSAMA and CAP methodology. The results of the work demonstrated the possibilities of using the measurement of acceleration values in selected places in the vehicle. The obtained results were also verified for the possibilities of further development in the area of reducing the dynamic load when driving a passenger car on the road.

Real-Time Monitoring of Tire Condition with Fast Detection Passive and Wireless TPMS

<div class="section abstract"><div class="htmlview paragraph">Accurate tire pressure monitoring system (TPMS) is of great practical importance and the reliability and safety of its power supply module has great concern. The piezoelectric-based surface acoustic wave (SAW) sensor is considered to have great potential in this field because of its passive, wireless and small size advantages. This paper presents the application of passive and wireless SAW sensors for real-time tire condition monitoring. The pressure sensitive structure is optimized and a three-resonator structure is also designed sensing temperature and pressure. Furthermore, a fast detection system is developed to realize high-speed signal acquisition. At last, experiments are executed and the SAW temperature and pressure sensor property is measured. The results show that the designed SAW sensor can realize real-time monitoring of tire condition; the temperature measurement range can reach -40~120°C with an accuracy of ±1°C; the pressure measurement range can reach 0~2MPa with an accuracy of 0.2MPa. This paper indicates the wireless and passive SAW temperature and pressure sensor system has the potential for application in real-time monitoring of tire condition.</div></div>

Paving of concrete carriageway Case study Tauern motorway at the Wengen-Pongau junction

Passenger and freight traffic on our roads continues to increase in number and severity. High axle loads, high tyre pressures and greater dynamic loads require load-bearing and stable road pavements. Concrete road pavements are highly suitable for meeting these demands over long periods of time. Therefore, they are well suited for the new construction and renewal of motorways, federal and country roads, local bypasses, bus traffic areas, intersections and roundabouts, and cycle paths. Concrete road pavements have a long service life even under heavy use. Nevertheless, the production costs are competitive and the maintenance costs are low. This makes concrete pavements particularly economical by comparison.

Stress Path Behaviour and Friction Angle Transition Due to the Cyclic Loading Effects

In various aspects, peat soil is different from mineral soil. Peat is a biogenic deposit that emerged within the last 10,000 years, during the post-glacial (Holocene) era. Peat is a soft soil that is unable to support external loads without experiencing significant deformations. Tyre pressure from automobiles and/or aeroplane wheels on paved surfaces creates traffic load, which can manifest as static or dynamic types of loading. To resolve the problem with peat soils, a thorough understanding of the static and dynamic behaviour of peat is still required. Many people who live near regularly used highways feel traffic vibration, and it is important to comprehend the nature of this issue to make predictions about potential solutions to this problem. As such, this study aims to investigate the cohesion (c) and friction angle (φ) properties of peat soil after it has been subjected to cyclic stress. Monotonic triaxial tests are conducted to ascertain the initial shear strength characteristics of the soil. Cyclic triaxial tests are performed with half of their maximum deviator stress to simulate the behaviour of peat soil under various effective stresses and frequencies of loading that are applied with 100 number of cycles. After applying various numbers of cycles of dynamic loading, the post-cyclic monotonic shear strengths were subsequently evaluated. It has been noted that irregular behaviour tends to occur more frequently at higher frequencies, particularly between 2 and 3 Hz. With higher frequencies being applied, the reduction in cohesion and friction angle becomes more evident. Doi: 10.28991/CEJ-2023-09-04-010 Full Text: PDF

Enhanced Tyre Pressure Monitoring System for Nitrogen Filled Tyres Using Deep Learning

Tyre pressure monitoring systems (TPMS) are electronic devices that monitor tyre pressure in vehicles. Existing systems rely on wheel speed sensors or pressure sensors. They rely on batteries and radio transmitters, which add to the expense and complexity. There are two types of basic tyres: non-pneumatic and pneumatic tyres. Non-pneumatic tyres lack air and combine the tyre and wheel into a single unit. When it comes to noise reduction, durability, and shock absorption, pneumatic tyres are more valuable than non-pneumatic tyres. In this study, nitrogen-filled pneumatic tyres were considered due to the uniform pressure management property. Additionally, nitrogen has less of an effect on thermal expansion than regular air-filled tyres. This work aimed to offer a deep learning approach for TPMS. An accelerometer captured vertical vibrations from a moving vehicle’s wheel hub, which were then converted in the form of vibration plots and categorized using pretrained networks. The most popular pretrained networks such as AlexNet, GoogLeNet, ResNet-50 and VGG-16 were employed in this study. From these pretrained networks, the best-performing pretrained network was determined and suggested for TPMS by varying the hyperparameters such as learning rate (LR), batch size (BS), train-test split ratio (TR), and solver (SR). Findings: A higher classification accuracy of 97.20% was obtained while using ResNet-50.

Dynamic Responses of Semi-Flexible Pavements Used for the Autonomous Rail Rapid Transit

The application of a semi-flexible pavement (SFP) is an effective solution to solve the rutting problems of the autonomous rail rapid transit (ART) system. The service environment of an ART pavement is significantly different from that of the conventional pavement due to the large axle load and high tire pressure of ART vehicles. A test section was constructed in the Zhuzhou ART system and a tire–pavement coupling FE model was built to explore the distribution features of the dynamic responses as well as to optimize the material and structural design. The tire–pavement coupling model was firstly verified by the field test data and then, utilizing the validated model, the parameter study was performed to analyze the influence of the vehicle operating state and pavement conditions. The simulation results show that the transverse tensile strain at the bottom of the SFP layer is dominant for the fatigue cracking of the pavement. Properly reducing the tire pressure can effectively improve the tensile environment at the bottom of the SFP layer. The action of the braking force may cause significant longitudinal tensile strains at the surface of the SFP layer and lead to transverse cracking of the semi-flexible ART pavement. The interlayer bonding between the SFP layer and the asphalt layer has significant influence on the amplitude and distribution of tensile stress at the bottom of the SFP layer. Moreover, to optimize the tensile environment of the semi-flexible ART pavement, the thickness of the SFP layer and the asphalt concrete layer cannot differ too much under the premise of meeting the requirements of rutting resistance performance.

Development of an Automatic Device for Maintaining Normal Air Pressure in Pneumatic Tires

Development of an Automatic Device for Maintaining Normal Air Pressure in Pneumatic Tires