. Improvements in tread performance, rolling resistance reduction, handling, and durability have been well documented. As vehicles have evolved over the past 20 years, tyres have had to adjust along with them. Larger vehicles, higher performing vehicles, and light-weighting, along with the introduction of electric vehicle technology, are all trends that have steered development over the years.

Through all of it, several key areas in tyre testing have remained steady. Tyres need to meet minimum safety and performance standards as dictated by governments and vehicle OEMs.

•          Tyre durability testing depends on a variety of industry test standards such as endurance testing on a drum.

•          Wet stopping distance, tread wear, and winter traction testing have very specific on-vehicle testing requirements.

•          Rolling resistance testing utilises a couple standardised test methods to measure the amount of hysteretic energy loss from a rolling tyre on a drum and specified surface.

•          Force and moment testing on a moving belt has been used to characterise tyre performance for vehicle design as it relates to cornering and other use conditions.

As time has passed, tyres have been asked to do more and more on vehicles. While the testing methodology has remained similar, conditions have been altered to accommodate these vehicle performance expectations. And while reducing testing time has always been a goal, many of these standard tests still require the same amount of time to conduct.

Because much of tyre testing has been standardised over the years, many facets of the industry can use tyre testing data as a unifying benchmark for evaluating specific performance criteria. For OEMs, the data is valuable to the vehicle development process. For tyre companies, the data is used in a marketing context to compare and contrast features for consumers. Trucking fleets use the data to optimise their operations and reduce costs and fuel consumption. Consistency in testing methodology provides the industry with a unifying foundation of benchmarking data.

That being said, older methods are always being reviewed for obsolescence. For example, NHTSA in the United States is currently considering the removal of test standards for bead unseat and plunger energy testing that were originally developed for bias ply tyre designs.

There are always efforts to look at novel ways of improving the tyre testing process and increasing speed to market. For example, experimenting with different surfaces for drum and belt testing of tyres continues to take place in an attempt to more closely replicate an infinite number of real-life surface conditions. Man-made snow has been developed to extend testing seasons and try to mirror natural snow in an indoor environment. As the industry learns more about how pressure loss impacts rolling resistance and fuel efficiency, more methods have been developed to measure how well different inner liner materials maintain steady tyre pressure. Tyre companies can more readily choose the right materials of construction to suit performance requirements by using material property data from finite element analysis.

Many of these testing methodologies are trending towards virtual testing and modelling of tyre performance. And while tyre modelling has been around since the 1980s, the amount of data and range of data measurement required has increased exponentially.

The key automotive trends driving tyre development going forward continue to be electrification and autonomy. These trends will bring their own challenges to testing and validation. Electrification will present some traditional challenges with new applications, such as managing heavier loads, more aggressive torque / tread wear, reducing noise, and lowering rolling resistance. New materials and constructions are being developed to accommodate these unique challenges for electric vehicles. Tyre tuning will become exceptionally important as second-life tyres are brought into the mix, as consumers will want consistent performance.

From the perspective of autonomous vehicles, sensors and tyre intelligence are being added to provide new data sources for autonomous systems. Tyres equipped with these sensors will have to undergo the same endurance, durability, and performance tests to ensure the sensor can function as designed when faced with the same rigors as the tyre. Depending on where the sensors are mounted in the tyre/wheel assembly, normal tyre dynamics could adversely affect the accuracy of measurements or transmission of data to the vehicle. As aftermarket tires and sensors are developed, testing and validation should follow the same standards to simplify service and compatibility for consumers. Ease of replacement will be critical, as this directly affects the consumer and dealers.

There will continue to be developments and ongoing efforts to improve the fidelity and range of tyre testing data. These improvements will strive to speed up development cycles and improve virtual models going forward. However, the established standards and protocols continue to provide a steadfast and reliable set of tools that development teams, independent evaluators, and testing organisations can use to address new challenges and ensure that the ultimate goal of safety is met for regulatory bodies and consumers.

Dr. James A. Popio is Vice President of Operations - North America of the Smithers Materials Science and Engineering division. Prior to his current role, he was Vice President and General Manager of Smithers in the United Kingdom. Before that, he was General Manager and Director of Engineering at Smithers' Tire and Wheel Testing Laboratory in Ravenna, Ohio.

Jim has worked with the tyre and rubber industry for 20 years and has spent his professional career working for and/or with tyre companies, tyre dealers, automotive OEMs, industry suppliers, manufacturers, standards organisations and government agencies. 

Jim has extensive experience in tyre performance, characterisation, and methods development. His specialty areas of expertise are force and moment, endurance, aging, compliance, indoor wear, rolling resistance, and characterisation for modelling. Jim is a regular contributor to industry journals as well as a chair and speaker at major tyre and rubber conferences. Jim has a PhD in engineering and MS, and BS in mechanical engineering from the University of Akron

Hankook Tire revealed the Design Innovation 2020 project, which defines a vision for the future driving and innovation in mobility.

Launched in 2012, the Design Innovation is Hankook’s R&D project held every two years, in collaboration with one of the world’s leading design universities.

Under the theme ‘Urban Reshaping’, professors and students from the Department of Industrial Design at the University of Cincinnati in the U.S. focused on the transformation of cities geared by reconfiguring mobility as part of living spaces rather than stand-alone purpose in the future with augmented automation infrastructure and cutting-edge technologies such as eco-friendly technology, autonomous driving and Artificial Intelligence (AI).

Throughout the project, modular platform of mobility concept named ‘Hankook Platform System (HPS)-Cell’ was proposed with tyre representing the root of mobility. It is applied with ‘Hankook Electric Mobility Technology (H.E.M.)’ which represents Hankook’s passion for future technological breakthroughs. Then a scenario was created which distinguishes mobility as a moving platform and its function as a pod (space), clearly elaborating that tire indeed sits at the center of the mobility.

The tyre of HPS-Cell embodied an airless tyres’ double-layered unit-cell structure to acquire complex rigidity. It is a concept tyre that uses sensor technology to not only identify tire treads and road conditions in real time, but also to respond to wear-out risks and change tread patterns according to the road condition utilizing variable wheels and optimized infrastructure.

The scenario was brought into reality in a concept film and a mock-up. The productions suggest that in 2040 urban population will be able to use this mobility platform combined with pods of various forms to each meet a specific purpose. The modular platform can also be combined with commercial pods such as urban farming to maximize the scalability and efficiency of movement within smart cities of future generation.

The unveiled productions will be exhibited at various global channels and will represent Hankook’s capabilities in design innovation globally.

Jimmy Kwon, Vice President of Hankook Tire Brand Lab said, “Hankook Tire is incorporating new ideas with our cutting-edge technology to explore design concepts for the next generation, as Hankook believes creativity is the first step towards bringing the imagination into the reality. We are more than excited to present this year’s works as they speak for the essence of the future mobility that Hankook envisions.”

TATNEFT has announced the development of a new line of ATV tyres called the KAMA Quadro ATM. The first model has been made in 25x8-12 standard size at its Nizhnekamskshina factory in Russia.

The ATV tyre, which is developed by Kama Scientific and Technical Center, has been specially designed for off-road driving, providing excellent cross-country ability in mud and snow. The tyre’s special rubber composition ensures high reliability and traction performance.

The first batch of tyres will go for pilot testing to TATNEFT subdivisions that operate off-road special vehicles.

The KAMA Quadro ATM range is currently being developed in nine tyre sizes covering 12 to 14 inches diameter, with nine more sizes coming up over the next year. The factory will begin production of 25x10 tyres for the rear axle in addition to the already manufactured  25x8 tyres intended for the front axle.

The KAMA Quadro ATM will meet the needs of the TATNEFT Group’s all-terrain vehicles used in oil fields and will also be used to equip Russian ATV manufacturers and the secondary market. (TT)

Kumho tyres have outperformed 52 rival manufacturers to ace the Auto Bild magazine’s summer tyre test with its ECSTA HS51 high-performance pattern tyre.

The annual test is among the most comprehensive of its type, the results of which are regarded as highly significant by both the European tyre trade and its consumers.

Conducted on both wet and dry surfaces, it left Kumho in a fighting third place overall. However, while the further qualifications caused the two leaders to slide down the order, 33 of the 53 entries were eliminated by the initial braking test. Kumho’s highly competitive and consistent scores in almost every discipline ultimately left it as the sole test winner.

 Awarding the ECSTA HS51 their coveted ‘Exemplary’ badge, the Auto Bild testers commended it for its precise steering response, secure wet grip, well-balanced handling, short braking distance, low wear rate and affordable price.

Unlike some tyre tests, where the products are supplied by the manufacturers, those for the Auto Bild ones are covertly purchased by the magazine from regular retail outlets. The chosen size was 205/55R16, the direct fitment for the bulk of Volkswagen Golfs and Audi A3s etc., and therefore arguably the one most common within the European car market.

UK purchasers currently have the choice of 35 sizes of ECSTA HS51 for wheels of 15 to 18 inches in diameter. The qualification round of the test was carried out at ATP (Automotive Testing Papenburg) in Germany and the other tests were performed at the IDIADA facility in Spain. 

Thus, our newly developed "Tire Leap AI Analysis" utilises advanced AI-based analysis technology to analyse (for example) electron microscope imagery of tyre rubber compounds in order to achieve high-precision analysis that far exceeds human capabilities, thereby making it possible to derive accurate estimates of rubber properties from structural data found in this imagery.

Specifically, it is a technology that estimates rubber properties precise from combining data on the individual raw materials contained in a rubber compound with data on its internal structure. In the future, we will continue to develop this technology and develop technology to estimate the future rubber properties from electron microscope imagery of unused rubber.

■ Technology to Precisely Estimate Rubber Properties Based on Structures & Materials

Tire Leap AI Analysis utilises an AI-based image analysis system to analyse the internal structures of rubber in images captured by an electron microscope in order to infer information about the properties of the rubber based on its structural data (i.e. the results of image analysis). By combining this structural data with data about the materials that make up rubber compounds, this technology is then able to derive information about the physical properties of rubber with a high degree of precision.

■ Technology to Detect Changes in the Internal Structures of Rubber After Use & Estimate Resulting Changes in Rubber Properties

By comparing images of a tyre that has never been used (i.e. that is brand new) with images of a tyre that has been used (i.e. after wear over time), this AI-based image analysis system can determine where changes have occurred in the internal structures of the tyre’s rubber and then estimate the physical properties of the rubber in the areas that have undergone these changes. The practical application of this technology will facilitate the design of new rubber compounds that are less prone to performance degradation due to wear and tear, thus contributing to the development and advancement of Performance Sustaining Technology.

Dr. Miki Haseyama, Hokkaido University: We have developed a new AI technology that is able to estimate the extent of changes in the structures based on analysis of images of the internal structures of rubber. As compiling data for this kind of machine learning would otherwise be extremely time-consuming, one of the main merits of this new technology is the fact that this AI does not require prior field data from structural changes in rubber for machine learning. Rather, this AI uses deep learning to learn about the properties of new rubber (i.e. prior to undergoing structural changes) and then estimates the extent of changes in the structure by analysing how data from old rubber (i.e. after undergoing structural changes) compares to the data that it has previously learned about new data. This approach to machine learning allows the AI to automatically detect various types of changes in the structures of rubber.

Kiyoshige Muraoka, Senior Executive Officer, Sumitomo Rubber Industries: We have been working jointly with Hokkaido University to further advance the development of AI technology that can understand how the internal structures of tyre rubber change through use. We have already put this new technology to use in the development of our latest “ENASAVE NEXT III” fuel-efficient tyres, which not only achieve the highest possible “AAA-a” rating for fuel efficiency and wet grip performance (under Japan’s tyre labelling system), but also reduce changes in tyre performance that occur over time as a result of use by half. Moving forward, we will continue to advance our Tire Leap AI Analysis technology to find and analyse slight variations in the internal structures of rubber that human senses and knowhow have been unable to detect so that we can then use the resulting knowledge to develop new technologies that further enhance tyre performance and ensure that this high performance lasts longer. In this way, we will accelerate research and development toward producing high-performance tyres that provide greater safety and peace of mind with the aim of contributing to the realisation of a sustainable mobility society for future generations.

References:

Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama, “Estimating regions of deterioration in electron microscope images of rubber materials via a transfer learning-based anomaly detection model,” IEEE Access, vol. 7, pp. 162395-162404, 2019.