Jeremias Neuhaus: “One of the biggest challenges in adopting data-driven solutions in the tyre industry is the availability of data and convincing customers not just of the solution itself but of the value of data transfer and real-time monitoring."

The tyre industry faces a significant challenge in data availability with fragmented supply chains, a lack of standardisation and minimal digital infrastructure limiting operational efficiency. Despite the growing importance of predictive maintenance, many manufacturers still rely on manual processes, while competitive concerns and regulatory restrictions further restrict data sharing. This absence of real-time insights hampers decision-making, making operations reactive rather than proactive. However, digitalisation and advanced data analytics are gradually reshaping the landscape. Solutions like HF Xplore aim to bridge this gap, offering real-time monitoring and predictive capabilities that can drive efficiency, sustainability and cost reduction.

Data availability is a challenge in the tyre industry due to fragmented supply chains, lack of standardisation and limited digital infrastructure. Manufacturers, distributors and recyclers operate in silos, making data consolidation difficult. Many businesses still rely on manual processes, while competitive concerns and regulatory restrictions further limit data sharing. Tracking end-of-life tyres (ELTs) is particularly challenging, impacting recycling efficiency.  

However, data availability is crucial for optimising operations, sustainability and innovation. Real-time data enables predictive maintenance, helping fleet operators reduce downtime and improve safety.

Accurate tracking of tyre usage and recycling supports circular economy initiatives and regulatory compliance. It also enhances research and development initiatives for advanced tyre materials such as electric vehicles and off-the-road (OTR) tyres, ensuring better performance and durability.

Improved data transparency can drive smarter decision-making, cost efficiency and sustainability in the industry. Digitalisation and data standardisation are key to overcoming these challenges.

However, HF Group’s Global Head of Digital Solutions, Jeremias Neuhaus, told Tyre Trends, “One of the biggest challenges in adopting data-driven solutions in the tyre industry is the availability of data and convincing customers not just of the solution itself but of the value of data transfer and real-time monitoring. Many decisions in the industry are still based on gut feeling rather than data-backed insights. Our focus is to bridge this gap by providing transparency into machine performance, enabling customers to make data-driven decisions instead of relying on intuition. By implementing real-time monitoring, we can significantly reduce downtime and help customers optimise processes. Even in the first step of implementation, simply visualising machine health and performance brings immediate value. Customers receive notifications for potential issues, allowing them to take preventive action before costly breakdowns occur.”

“The biggest opportunity in this space lies in the fact that data-driven insights can drastically improve operational efficiency. Once machines are connected and data is flowing, customers gain a much deeper understanding of the equipment, leading to better decision-making and optimised production cycles. Predictive maintenance and AI-driven analytics will further enhance operations by identifying potential failures before they occur. This is particularly crucial as manufacturers aim to reduce carbon emissions and energy consumption while increasing efficiency. Our approach stepwise towards AI-powered predictive solutions bring even greater efficiency and cost savings,” he added.

A critical concern in the tyre industry is data security and confidentiality, given how secretive manufacturers are about the respective production processes. “We address these concerns by focusing strictly on machine data rather than the proprietary tyre-making process. Our solutions do not need the actual process details to provide valuable insights. Additionally, the real, detailed data remains visible only to the customer, ensuring that they retain full control. In cases where AI-driven analytics are implemented, we collaborate closely with customers to develop models tailored to specific needs without compromising sensitive production data,” revealed Neuhaus.

The company launched the HF Xplore few years ago as a condition monitoring solution purely for curing presses. One of the significant developments following the merger of HF Mixing Group and HF Tire Tech Group has been the integration of previous initiatives into a joint project, creating a common condition monitoring solution. As a result, HF Xplore is now available for both curing presses and mixer lines. This expansion allows the company to offer real-time monitoring and predictive insights across two of the most critical processes in tyre manufacturing curing and mixing.

MONITORING TYRE FORMULATIONS

Curing and mixing are fundamentally different processes in tyre making, which presents a challenge in making HF Xplore compatible with both. The solution is to split monitoring into two layers viz-a-viz a common monitoring framework and machine-specific components.

The common framework includes monitoring cycle times, alarms, key performance indicators (KPIs) and production progress – elements that apply to both curing presses and mixer lines. However, each machine type has unique components that require dedicated monitoring.

For curing presses, especially electric-curing, HF Xplore focuses on monitoring hydraulic power unit and the electric curing, which is a crucial aspect of efficiency and quality control. On the other hand, for mixers, the system focuses on critical mechanical components such as the RAM movement, feeding mechanisms and drop doors, which are key areas that directly impact mixing performance and consistency. The drop doors, for instance, play a crucial role   in ensuring a smooth transition of rubber to the downstream process, making their monitoring essential for operational reliability.

The user interface of HF Xplore is designed to maintain familiarity across different machines. The dashboard layout remains consistent, so users who are accustomed to using it for curing presses will find a similar experience when working with mixer lines. This consistency reduces the learning curve and makes the system more intuitive for users handling both curing and mixing equipment.

Behind the scenes, the company is investing heavily in data modelling to refine and improve predictive capabilities. The company is developing individualised, flexible data models tailored to each machine type.

These models analyse operational patterns, detect anomalies and provide real-time insights to minimise downtime. By combining machine-specific expertise with data-driven intelligence, HF Xplore continues to evolve into a powerful predictive maintenance and performance optimisation tool for the tyre manufacturing industry.

INTO DATA MODELS

HF Xplore captures machine data but doesn’t analyse it directly. Instead, the system applies background logic to determine whether values are within acceptable limits. Currently, its primary function is real-time status monitoring, giving users an overview of machine condition. However, future iterations will introduce predictive maintenance capabilities, allowing companies to anticipate and address potential failures before they happen.

“At this stage, HF Xplore detects and predicts issues but does not provide specific solutions. As the technology evolves, it will go beyond identifying potential failures to offering actionable recommendations. This shift will help businesses move from reactive maintenance to a more proactive approach, reducing downtime and improving operational efficiency. To refine predictive maintenance, the system is being trained with large datasets in collaboration with customers. Over time, this will enhance the system’s accuracy, enabling it to not only flag potential issues but also suggest corrective actions,” informed Neuhaus.

AI and machine learning will play a central role in the company’s future roadmap, following a structured three-step approach – visualise, analyse and predict.

The first step will provide real-time machine status and process transparency. In the analyse phase, the company’s solutions will move beyond monitoring to offer deeper insights. The system will evaluate performance trends, identify operational limits and provide status feedback. The final phase will be where AI and machine learning take centre stage by analysing vast amounts of historical and real-time data. AI models will identify patterns, forecast failures and recommend preventive actions.

Commenting on whether implementing HF Xplore for a curing press or a mixing system presents different challenges, he said, “While both require detailed monitoring, mixing systems are more complex due to the interconnected components including upstream and downstream processes. Unlike curing presses, which operate as standalone units, mixing lines require data collection across multiple machines for effective monitoring. However, HF Xplore benefits from deep integration with its own equipment, leveraging PLC data to ensure seamless functionality across different systems.”

But for this to be a reality, different data models are pivotal. “The data model is essential for structuring and standardising the information displayed on the dashboard,” informed Neuhaus.

RETROFITTING HF XPLORE

HF Xplore is compatible with both greenfield and brownfield machines, though older models with outdated PLCs may have limitations. “While we cannot retrofit machines that are using old automation solutions, HF Xplore can be integrated into machines from the past few years, especially for condition monitoring. With electric-curing, it also enables precise tracking of electric curing performance, enabling deeper insights,” informed Neuhaus.

“One key challenge is data governance and security. Traditionally, machine data remained within the plant, but HF Xplore connects operational technology with information technology, raising concerns about data ownership and security. To address this, we have implemented user-based access controls, IP-based security and data encryption,” informed the executive.

For tyre plants with a mix of HF and non-HF machines, HF Xplore offers a custom dashboard creator with low-code functionality, allowing users to integrate and visualise data from different machines in just a few hours. A flexible data model further ensures standardised visualisation, even when machine types vary. While full integration with non-HF machines may require additional work, HF Xplore provides a comprehensive plant-wide monitoring solution for optimising performance.

“HF Xplore can potentially integrate with machines from other companies, but it depends on data accessibility and PLC compatibility”, contended Neuhaus, who highlighted the flexibility and modularity of their solution. 

NASA has launched a three-phase competition offering USD 155,000 in prizes to develop next-generation wheels for lunar rovers, as the US space agency prepares for sustained exploration missions to the Moon’s surface.

The “Rock and Roll with NASA Challenge” seeks lightweight, durable wheel designs capable of traversing the Moon’s harsh terrain of razor-sharp regolith whilst maintaining performance in extreme temperature variations and carrying substantial cargo loads at higher speeds.

The competition addresses critical mobility challenges facing future lunar missions, where traditional rover wheels have struggled with the Moon’s abrasive surface materials and temperature extremes that can plummet to minus 173 degrees Celsius during lunar nights.

“The next era of lunar exploration demands a new kind of wheel – one that can sprint across razor-sharp regolith, shrug off extremely cold nights, and keep a rover rolling day after lunar day,” NASA stated in announcing the challenge.

The programme unfolds across three distinct phases. Phase 1, which opened on 28 August and runs until 4 November 2025, will reward the best conceptual designs and analyses. Phase 2, scheduled for January through April 2026, will fund prototype development. The final phase in May-June 2026 will test leading designs through live obstacle courses simulating lunar conditions.

For the concluding phase, NASA will deploy MicroChariot, a 45-kilogram test rover, to evaluate top-performing wheel designs at the Johnson Space Centre Rockyard facility in Houston, Texas. The testing ground will simulate the challenging lunar terrain that future missions must navigate.

The competition remains open to diverse participants, from university student teams and independent inventors to established aerospace companies, reflecting NASA’s broader strategy of engaging private sector innovation for space exploration technologies.

NASA mobility engineers will provide ongoing feedback throughout the competition phases, offering participants insights from the agency’s extensive experience in planetary rover operations, including successful missions to Mars.

The challenge comes as NASA intensifies preparations for the Artemis programme, which aims to establish a sustained human presence on the Moon and serve as a stepping stone for eventual Mars exploration missions.

Current lunar rover designs have faced limitations in speed, cargo capacity, and durability when operating across the Moon’s challenging surface conditions, creating demand for breakthrough mobility solutions that can support extended surface operations.

The competition timeline positions Phase 2 prototype funding to commence in January 2026, allowing successful Phase 1 participants several months to refine their concepts before advancing to hardware development.

VMI will display its automated Strainer Plate Cleaning Station, a significant innovation designed to address a longstanding challenge within the rubber manufacturing industry, at the upcoming Global Polymer Summit in Cleveland. This comes at a critical time of rapid economic expansion in the United States, largely fuelled by construction and industrial renewal, which is driving increased demand for high-quality, efficiently produced rubber components.

These components are essential across a vast spectrum of applications, from microscopic seals and industrial machinery to pipelines and specialised products for extreme environments. To keep pace, US manufacturers are actively seeking advanced equipment that combines superior quality, shorter lead times and robust stateside support. For over two decades, VMI has met these exact needs from its Ohio operations, offering German-engineered solutions supported by responsive local service.

The new Strainer Plate Cleaning Station exemplifies VMI's pioneering ‘Hands-off, Eyes-off’ automation philosophy, previously applied to its industry-standard tyre building machines. This system utilises advanced robotics to completely transform what has traditionally been one of the most labour-intensive, unpleasant and hazardous jobs in a rubber factory. The automated Strainer Plate Cleaning Station will be demonstrated in operation at VMI’s booth, number 1430, during the Global Polymer Summit from 8th to 11th September.

The benefits of this automation are substantial. Companies can reallocate skilled workers to more value-added production roles, thereby boosting overall productivity and driving down unit costs. This enhanced efficiency allows businesses to become more competitive and responsive to dynamic market demands. The system integrates seamlessly with VMI’s extrusion and gear pump systems, which are backed by proprietary management software that enables the flexible production of both standard and highly specialised components on a single platform.

The Qingdao Municipal Government Information Office recently hosted a media briefing on ‘Shandong's Top Brands on the Industrial Chain – Intelligent Equipment Industrial Chain’ at the MESNAC Jiaozhou Equipment Industrial Park. Senior leaders from MESNAC and three other prominent firms were in attendance to present their advancements and field questions from journalists.

A central focus was on MESNAC's proprietary ROC R&D platform, a unique modular system engineered specifically for the rubber equipment sector. This platform is fundamentally structured around client requirements, integrating comprehensive product design, technological development and rigorous testing protocols. This architecture facilitates a configurable development process, allowing for both large-scale customisation and remarkably agile product delivery. The company's operational philosophy was explained as a dedicated team model, where a single unit focuses its expertise on one product for its entire lifecycle. This meticulous approach has generated significant industry innovations in recent years, including fully automatic material weighing systems, unmanned tire building machinery and intelligent tyre curing press workshops capable of operating as fully unmanned ‘lights-out’ facilities.

The event included a practical demonstration of this technology in action. Attendees witnessed the NPS Semi-steel One-stage Building Machine, which achieves a single-tyre production cycle of just 35 seconds through complete automation. This system boasts world-class efficiency, requiring only one person to supervise multiple machines simultaneously. It embodies a new generation of intelligent manufacturing by seamlessly integrating cutting-edge technologies such as precision machine vision, industrial robotics, sophisticated industrial IoT software and autonomous learning capabilities.

NEXEN TIRE has inaugurated a cutting-edge High Dynamic Driving Simulator at its Magok-based NEXEN UniverCity R&D centre in Seoul. A first-of-its-kind installation within the South Korean tyre industry, this advanced system represents a pivotal step in modernising tyre development by leveraging virtual reality and artificial intelligence.

The simulator functions by creating a highly realistic virtual driving environment. Engineers can input specific vehicle data and parameters to conduct precise testing of performance metrics such as acceleration, braking and handling across a diverse range of simulated road conditions, all within a controlled laboratory setting.

This technological advancement is expected to significantly streamline NEXEN TIRE’s research and development operations. It will reduce the need for physical prototypes and extensive real-world vehicle tests, which in turn accelerates development cycles and lowers associated costs. A major strategic benefit is the enhanced ability to meet the exacting performance standards required by global automakers for original equipment tyres, especially for new and high-performance vehicle models.

The shift towards virtual testing also supports the company's sustainability objectives by diminishing the fossil fuel consumption typically involved in traditional road testing, thereby supporting its broader environmental, social and governance (ESG) commitments. This move aligns with a larger industry trend where automakers are rapidly adopting virtual processes to improve efficiency.

Looking forward, NEXEN TIRE plans to build upon this simulator to establish a comprehensive Full Virtual Development Process. This long-term strategy aims to integrate advanced simulation with finite element method analysis and AI, ultimately working towards a future where physical testing is largely replaced by virtual validation.

John Bosco (Hyeon Suk) Kim, CEO, NEXEN TIRE, said, “Ahead of the industry trend towards virtual development of vehicles and tyres, the establishment of our High Dynamic Driving Simulator is a strategic investment to lead the future mobility sector. By combining VR and AI technologies, we will enhance both the efficiency and precision of our R&D while contributing to ESG management, thereby strengthening our global competitiveness.”