Applied Technology Review : News

For microelectronics manufacturing, a cleanroom is often required to assure quality and consistency due to the ability to control environmental conditions. Microelectronics manufacturing sometimes involves fragile materials and occasionally poisonous compounds, which require special handling and storage. In addition to being highly sensitive, manufacturing equipment creates heat that must be regulated. The manufacturing environment is tightly regulated for applications in microelectronics production to be successful. A cleanroom permits the manipulation of environmental parameters, including temperature, relative humidity, air quality, and more. They are frequently required for applications in microelectronics manufacturing to assure quality and uniformity. Semiconductor cleanrooms Semiconductors are used to manufacture practically all of the technology we rely on today, including cell phones, coffee machines, and automobiles. For these gadgets to function and respond with the speed and precision required by modern living, semiconductors must be made and built with extreme precision. As demand for technology continues to increase, semiconductor makers must increase output without losing quality. Here is where a semiconductor cleanroom demonstrates its value. By restricting particle count and size, temperature changes, relative humidity, and other elements that typically endanger semiconductor production, a highly controlled environment streamlines the manufacturing process and substantially decreases the risk to safety and productivity. Solar technology cleanrooms Solar cells are used to manufacture electronics that turn sunlight into electricity. Before being utilized in a solar panel, tiny slices of silicon and other conductors are created. Any interfering particles can compromise the product at any process stage, necessitating stringent supervision. Cleanrooms are indispensable for producing solar cells that meet ISO Class 5–7 standards. As the silicon wafer is honed, greater caution is being taken to prevent particles from damaging the semiconductor or interfering with its delicate functions. A cleanroom equipped with HEPA and ULPA filters can assist in preventing product failures and ensuring the success of solar cell projects. ...Read more

The manufacturing industry landscape is continuously evolving with technological advances, and the digital twin is especially changing how companies implement smart manufacturing. Recent years have witnessed the emergence of multiple technologies crucial in advancing smart manufacturing and the Industrial Internet of Things. These technologies include Big Data, advanced analytics, artificial intelligence (AI) and machine learning (ML), operational intelligence, advanced robotics, next-generation material science, and generative design for additive manufacturing. Although all of these technologies are transforming the face of production, the digital twin has the most immediate and profound effect on how organizations use smart manufacturing. The concept of the digital twin is not entirely novel. This entails integrating virtual engineering models with the real product or equipment in an environment that permits modification and optimization of the as-designed and as-built product. However, due to the development and growth of enabling technologies, there is a resurgence of interest in adopting the digital twin and its potential benefits. Manufacturers can save the time and expense associated with assembling, installing, and validating industrial production systems by using digital twins that reflect the product and production systems. In addition, implementing digital twins for asset management often results in demonstrable advantages for equipment maintenance in the field. Digital twin in manufacturing is a virtual replica of the as-designed, as-built, and as-maintained physical product, enhanced by real-time process data and analytics based on precise configurations of the physical product, production processes, or equipment. Essentially, this is the operational context of the digital twin required for performance optimization. In contrast to the conceptual character of virtual models, real-time and operational data is a digital depiction of actual physical events. CAD models describe the digital fit, shape, and function of the physical counterpart of the digital twin. To execute analytics applications that define the status and behavior of the performance-based digital twin and enable optimization and process improvement, operational and asset data is collected in real-time. Based on actual deployments, manufacturers are contemplating new business models in which they offer services instead of products and then use the digital twin to monitor and optimize the service's availability and performance. Customers are offered to use the product/equipment in addition to full maintenance and operational optimization based on the predictive powers of the digital twin. As a more controllable and viable business model, the manufacturer retains equipment ownership and provides maintenance services based on a digital twin. ...Read more

SCADA systems are utilized in various industries to automate the control of processes and machines that would be too difficult or unsafe to operate manually. SCADA applications help to minimize production waste and improve efficiency by offering important production insights to operators and managers of a facility. Any information that is gathered from SCADA systems can be used to make data-driven decisions, which will, in turn, offer greater control of operations, reduce costs, and increase output. Also, operators can quickly respond to any critical event, thanks to instant notifications and alarms. They can avoid major machine failures, which will help reduce equipment downtime and wastage. Moreover, SCADA systems improve monitoring and control when a business lacks sufficient staff to cover a vast geographical relocation. SCADA’s applications in various industries: Manufacturing units SCADA regulates all plant activities accurately, ensuring that all systems operate smoothly and productivity goals are fulfilled. It checks parameters like temperature, pressure, and humidity at various production stages, controls assembly-line robots, and monitors parts utilisation to perform just-in-time inventory control. Electricity production, transmission and distribution systems SCADA is used to monitor all phases of energy generation, from fuel input to output. SCADA also monitors and controls distribution lines and electrical substations. SCADA is used to monitor and control the amount of electricity transmitted over great distances and to respond instantly to fluctuations in demand. Water systems SCADA systems monitor and control the pumping and treatment of water at wells and water treatment plants. They are used to control flow rate sensors, pollution sensors, etc., fill overhead storage tanks and control booster pumps to manage the water pressure delivered to customers, as well as perform a variety of other functions. food/pharma production This is a key application for SCADA. SCADA is used to monitor and control all phases of production, control the precise mixture of components, and monitor the time and temperature necessary to process/manufacture food & beverage or pharmaceutical items. SCADA also aids in documenting evidence that the production process adheres to industry norms and government requirements. ...Read more