Nexen Tire has shared details of how it has used Artificial Intelligence (AI) and big data-driven methodology to help reduce tyre noise. The big data research for Noise, Vibration, and Harshness (NVH) was jointly conducted with Hyundai-Kia Automotive Group and Inha University in Korea. The results of the braking test performance on snow, hydroplaning, and wet surfaces showed internal and external noise generated by cars can be reduced by 1 dB (decibel) and 3 dB (decibel), respectively.
While 46 per cent of the global population is still without internet access, the Covid-19 pandemic has demonstrated the effectiveness of digital technologies. And specifically companies such as Pirelli are now better prepared for a possible second wave of Covid-19 because of the digital technologies they have deployed. Pier Paolo Tamma, SVP and Chief Digital Officer of Pirelli and Dr John O’Shea of Dell Technologies shared their views at the Global Manufacturing and Industrialisation Summit’s Virtual Edition on 8 July 2020.
Toyo Tire Corporation says it is employing materials informatics (MI) in its tyre development to predict the properties and optimise the material structure of the rubber materials it works with. MI is a component of Toyo Tire’s ‘Nano Balance Technology’ rubber material development platform, and was realised in collaboration with SAS Institute Japan.
In addition to the recently-announced application of artificial intelligence and digital sensor technology to automate the inspection of newly-manufactured tyres, Hankook Tire aims to improve the production flow in its factories via a new monitoring system that utilises artificial intelligence and IoT technology. It calls this Hankook Condition Monitoring System Plus, or CMS+ for short.
Artificial intelligence (AI) and digital sensor technology is being employed to automate the inspection of freshly-manufactured tyres at Hankook Tire & Technology’s production facilities. Hankook says its automatic inspection system will improve efficiency and consistency at the final stage of product testing.
Statistics on reported road casualties in Great Britain show that there were 1,870 reported road deaths and 27,820 people killed or seriously injured reported to the police for the year ending June 2019. Now more than ever the younger generations want to change the future of their worlds, with 69 per cent stating when asked that they would like to use a career in science, technology, engineering and maths (STEM) to improve the world they live in and make a difference, and the issue of road casualties is something that a Year 9 student from Reading wanted to put a stop to.
UVeye is a provider of artificial intelligence (AI) based solutions for automatic external inspection of vehicles within the security industry. Initially developing systems to detect dangerous conditions like weapons, explosives, or other threats in some of the world’s most high-security locations, the company saw the opportunity to use its technology to solve challenges in the automotive industry to detect potentially hazardous mechanical issues. Its suite of products includes its original undercarriage application (Helios), its revolutionary 360 solution (Atlas), and its targeted tyre application (Artemis). The company explains why it believes AI technology will help shape the future standard for vehicle inspection, increasing the speed, efficiency and accuracy of tyre checks at every stage of a vehicle’s lifecycle.
Sumitomo Rubber Industries, Ltd. has developed a new technology that uses artificial intelligence (AI) to estimate the properties of the rubber used in its tyres and also detect the structural changes that occur during use. It calls this technology ‘Tyre Leap AI Analysis’.
At the start of April 2019, Bridgestone formally completed its billion-dollar acquisition of TomTom Telematics. The goal – as ever – is to capitalise on the benefits of big data, leveraging its usefulness in the cause of better tyres and greater efficiency for all stakeholders. Of course, Bridgestone is not the only tyremaker seeking to make the most of tyre data. Many have invested significantly in developing cyber tyres over the course of the last 10 to 15 years, harnessing the fact that tyres are a vehicles’ only point of contact with the road and therefore the only means of generating real-time road surface:vehicle contact data. This same approach also yields tyre condition and performance data, which can be used for everything from motorsport to commercial fleet applications. But what about in the manufacturing process itself?
In 2016, Goodyear Europe launched its Proactive Solutions in the UK and 11 other European markets, offering fleets a predictive maintenance model. Goodyear’s know-how in the realm of artificial intelligence is now being put to use in the on-demand car sharing and ride hailing services sector in the USA; Goodyear Tire & Rubber has announced its participation in a pilot programme with start-up firm Stratim.
ZC Rubber has installed a smart factory project based on the ET industrial brain artificial-intelligence (AI) service system for manufacturing launched by Alibaba Cloud. The goal is to “greatly improve the production in the factories”, according to the company. The cooperation between ZC Rubber and Alibaba Cloud reportedly started at the end of 2016.
Under a three-year partnership agreement that commenced earlier this month, Continental AG and the University of Oxford are conducting joint research in the field of artificial intelligence. The German tyre and automotive system manufacturer’s partnership with the university’s Engineering Science department will focus on the possible uses and development of artificial intelligence algorithms in order to explore how they can enhance future mobility applications.