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SK Telecom (NYSE:SKM, “SKT”), Iceotope Technologies, the global leader in Precision Liquid Cooling, and SK Enmove, Korea’s leading base oil and lubricants provider developing thermal fluids for data center, signed a memorandum of understanding (MOU) to collaborate on the development of liquid cooling technique/solution that optimizes energy-efficiency of AI data centers. Since air conditioning and cooling systems consume the largest amount of energy in data centers, the key to realizing an energy-efficient AI data center lies in reducing the power consumption of these systems. Under the MOU, SKT, Iceotope and SK Enmove will collaborate to deploy Precision Liquid Cooling (PLC)* using SK Enmove’s thermal fluid at SKT’s AI Data Center Testbed. The deployment is to demonstrate PLC’s value in cooling efficiency and power savings. Moreover, SKT will develop an integrated Coolant Distribution Unit (CDU) to support various liquid cooling systems with the technical support of Iceotope. *Iceotope’s Precision Liquid Cooling (PLC) technology uses a precise delivery of ​​dielectric fluid to remove heat from the hottest components of the server, thereby significantly reducing energy consumption. Going forward, SKT plans to develop an AI-based autonomous cooling system. The AI Autonomous Cooling System will analyze the temperature and power load in the AI data center and automatically control the supply temperature and flow rate of thermal fluids in the CDUs to increase the operational efficiency of the AI data center. “By combining core technologies and capabilities of SKT, Iceotope and SK Enmove, we expect to develop innovative energy efficiency solutions that can not only help us strengthen our competitiveness in AI data centers, but also put us on the right path towards sustainability,” said Lee Jong-min, Vice President and Head of Future R&D at SKT. “We are thrilled to be collaborating with SKT and SK Enmove on AI data center innovation and look forward to helping them and their customers to realize energy-efficiency in their facilities with our Precision Liquid Cooling solutions,” said David Craig, CEO of Iceotope. “Importance of establishing a sustainable environment is increasing these days. Through this cooperation, we aim to contribute to the vitalization of the immersion cooling market and solidify our position as an 'Energy Saving Company,” said Seo Sang-hyuk, Vice President and Head of e-Fluids B2B Business Office at SK Enmove.

The Malaysia’s International Trade Fair for Manufacturing & Trade Solutions is set to redefine the landscape of industry events as it brings together four major specialized trade fairs under one roof. From 9th to 12th October 2024, the Metal Engineering Expo, Pack Expo, Smart Factory, and MALT will converge at the Malaysia International Trade & Exhibition Centre (MITEC) in Kuala Lumpur for an unparalleled experience. Metal Engineering Expo (MTE): An Ode to Precision and Innovation The Metal Engineering Expo is a dynamic showcase where cutting-edge technology meets the precision of craftsmanship. Attendees will explore the intricate world of metalworking, from state-of-the-art CNC machines to the latest advancements in tooling. It's not just an exhibition; it's a celebration of the art and science behind crafting the future. Pack Expo: Where Innovation Takes Center Stage Pack Expo unleashes innovation as the ultimate hub for cutting-edge packaging and processing solutions. Industry leaders will explore breakthrough technologies and revolutionize their businesses with sustainable packaging solutions and state-of-the-art machinery. Smart Factory: Embodying the Transformation In an era shaped by technological strides, the Smart Factory trade fair embodies the imperative of shedding outdated models and embracing change. Offering a comprehensive spectrum of smart and digital automation solutions, it serves as a showcase for the latest technologies propelling the digitalization of manufacturing. MALT: Unveiling the Future of Logistics MALT – Malaysia’s International Trade Fair on Intralogistics and Supply Chain Management – is set to unveil the latest trends in supply chain management and intralogistics. With groundbreaking solutions across Material Handling, Automation, and Logistics & Transport Systems, MALT 2024 is a can't-miss event for manufacturers, dealers, and service providers. This groundbreaking event embodies the evolution of the manufacturing and trade sectors, offering participants a unique opportunity to access a wealth of knowledge, foster new business ideas, and forge connections that propel the industry to new heights. Industry 5.0 is reshaping traditional industrial sectors by seamlessly integrating technologies such as AI, IoT, and robotics, fostering collaboration and innovation. As boundaries between manufacturing, logistics, and services dissolve, a dynamic ecosystem emerges, where efficiency and customization flourish. This ongoing convergence demands businesses to evolve to stay competitive, and the Malaysia’s International Trade Fair for Manufacturing & Trade Solutions is at the forefront of facilitating this transformation. The benefits of co-location are manifold, providing expanded audience reach, targeted exposure, cross-industry networking opportunities, increased visibility, higher footfall, and ease of visit. By bringing together diverse sectors under one roof, the event creates synergies and facilitates collaboration that drive innovation and growth. In addition to the unparalleled networking opportunities, the event organizers have curated a comprehensive program of activities, including Tech Talks, Business Clinics, an Industrial Career Fair, VIP Programmes, and Group Visits, ensuring that participants derive maximum value from their attendance. Join us at the Malaysia’s International Trade Fair for Manufacturing & Trade Solutions and be a part of the transformative experience that is shaping the future of industry. For more information and to register, visit www.mtexpo.com.my

Smart factories are revolutionizing manufacturing with interconnected, data-centric technologies. In the Industry 4.0 age, incorporating Internet of Things (IoT) sensors in production methods is changing factory operations. Emphasis is now on transitioning maintenance from reactive to predictive, facilitated by sophisticated sensing. Differential pressure sensors, as a central sensing tool, will increasingly contribute to collecting diagnostic data to enhance assets, reduce downtime, and devise more intelligent maintenance plans. From monitoring air quality in HVAC systems to safeguarding equipment against failure in chemical plants, pressure sensors are becoming essential components for predictive maintenance. Predictive maintenance involves the continuous monitoring of equipment to detect issues before a breakdown occurs. This approach is a considerable advancement from traditional reactive approaches that wait for failures to occur before fixing them. By identifying problems early on, significant time and expenses can be saved, and pressure sensors are perfect for monitoring due to their ability to diagnose issues across pumps, valves, pipes, filters, and beyond. This article presents an overview of how differential pressure sensors are employed in Industry 4.0 for predictive maintenance. HVAC Systems Ensuring ideal indoor air quality in contemporary factories is vital for both employee health and efficient production. Differential pressure sensors in Heating, Ventilation, and Air Conditioning (HVAC) systems oversee air quality, especially in specialized settings like cleanrooms. These sensors gauge the pressure disparity between two locations, allowing the system to identify any blockages in air filters. If the pressure difference exceeds a set limit, an alert is issued, signaling a need for filter servicing or replacement. This preventive strategy not only fosters a healthier workspace but also averts expensive HVAC system failures. Pneumatic Systems Many manufacturing processes are reliant on pneumatic systems to power a range of tools and machines. These systems have integrated pressure sensors to monitor air pressure levels. In an Industry 4.0 environment, these sensors deliver real-time data regarding anomalies and fluctuations in pressure. Predictive maintenance algorithms are used to analyze this data to recognize trends or patterns that may signal imminent equipment failure. For instance, a sudden decline in air pressure could indicate a leak in the system. Early detection enables maintenance teams to address these issues before they result in production downtime or expensive repairs. Hydraulic Machinery Hydraulic systems are often employed in manufacturing, particularly in heavy industries such as mining and construction. The pressure in hydraulic systems can be monitored by differential pressure sensors to ensure that the system is operating within efficient and safe parameters. Industry 4.0 technologies allow these pressure levels to be continuously monitored, and predictive maintenance software can be used to analyze the data to predict when components, such as valves or pumps, are likely to fail. Proactively addressing these issues enables factories to reduce unplanned downtime and extend the lifespan of expensive hydraulic equipment. Chemical Processing Safety and precision are of utmost importance in chemical plants, and differential pressure sensors can be employed to monitor pressure differentials across pipelines, filters, and reactors. They serve a crucial function in the detection of leaks, blockages, or changes in pressure that could suggest a malfunction. Anomalies in pressure data can initiate automatic shutdowns, while maintenance teams receive alerts in real-time. This prevents devastating accidents and improves the overall efficiency of chemical processes. Compressed Air Systems Compressed air systems are the pillar of many industrial operations, such as powering tools and operating conveyors. Differential pressure sensors are employed to monitor the condition of air filters as well as the overall integrity of the system. Predictive maintenance software facilitates the processing of data from these sensors to identify when air leaks occur, when filters require replacing, or when the compressor may be operating less efficiently. Factories can improve the reliability of their compressed air systems and reduce energy costs by correcting these issues before they escalate. Steam Boilers Steam boilers are frequently employed in manufacturing processes for generating power and heat. Pressure sensors are essential to monitor and maintain the safe and efficient operation of such systems. In an Industry 4.0 setting, pressure sensors are integrated with IoT abilities, facilitating the transmission of data to central control systems. Predictive maintenance algorithms are employed to analyze this data and predict when maintenance is necessary. For instance, when a pressure sensor detects a gradual rise in pressure, it can imply scaling or buildup inside the boiler. Timely maintenance can extend the lifespan of the boiler and avoid costly shutdowns. Water Treatment Pressure sensors are vital for monitoring water treatment systems in industries where water is crucial, such as power generation or food and beverage manufacturing. Differential pressure sensors can be used to measure the pressure difference across membranes and filters. Any shift in pressure may signal filter clogs or membrane damage. Therefore, the continuous collection and analysis of pressure data enables predictive maintenance systems to provide real-time alerts to issues, delivering consistent water quality and system reliability. Injection Molding Pressure sensors are commonly utilized in injection molding machines for the maintenance of precise control over the injection and clamping processes. In an Industry 4.0 setting, these sensors are integrated into the molding equipment and linked to central monitoring systems. Predictive maintenance algorithms are used for the analysis of pressure data to predict wear and tear on components such as cylinders, nozzles, and seals. This facilitates proactive maintenance scheduling, which minimizes unplanned downtime and enhances the quality of molded products. Conclusion In the Industry 4.0 era, the integration of pressure sensors into manufacturing processes is transforming how factories approach maintenance. Facilities that adopt real-time data collection and analysis are more likely to minimize downtime, prevent costly breakdowns, and ensure production lines run safely, smoothly, and with maximum efficiency. Prognostic pressure-based monitoring extends the lifetime of capital assets, optimizes operational efficiency, and eradicates catastrophic failures via early diagnosis. As advancements in smart infrastructure and Industry 4.0 continue to be made, differential pressure sensors will expand as a vital technology for steering the predictive maintenance capabilities that define modern, resilient manufacturing. Source: www.azosensors.com