Dry electrode fabrication is considered a crucial next-generation process for secondary batteries because it eliminates the need for solvents and drying steps, significantly reducing energy consumption and carbon emissions. To achieve optimal performance in dry electrodes, it is essential to ensure high mechanical stability and electrical conductivity. These properties can be enhanced by controlling binder fibrillation and creating a continuous conductive network through the uniform dispersion of conductive additives. In this study, we applied mechanical shear mixing as a pre-treatment to electrode powders, which included active materials, conductive agents, and binders. We systematically investigated variations in electrical conductivity, binding structure, tensile properties, internal resistance (via IR drop), and fast-charging performance as a function of the mixing shear rate. In particular, we quantified the binder fibrillation behavior and the dispersion of conductive agents that occur simultaneously during mixing. By correlating these factors with the physical and electrochemical properties of the final electrode film, we propose design guidelines to optimize the mixing pre-treatment process.
As the global manufacturing industry moves toward carbon neutrality, improving energy efficiency of machine tools has become essential. Although machine tools contribute significantly to industrial energy consumption, systematic methods for evaluating their energy consumption remain insufficient. To address this issue, this study developed an energy consumption evaluation system based on ISO 14955, the international standard for machine tool energy efficiency. The proposed system enabled a detailed analysis of energy usage patterns in different operating states, identifying key areas for energy reduction. The developed system could measure energy consumption of individual machine tool components in various operating states using power meters and automatically generates reports. This allows users to identify which components and operating states consume the most energy. We tested and validated this system on three different machine tools and analyzed strategies for reducing energy consumption. The developed evaluation system can help machine tool manufacturers integrate it into their equipment, develop energy-efficient technologies, and contribute to sustainable manufacturing.
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Recent Advances in CNC Technology: Toward Autonomous and Sustainable Manufacturing Jong-Min Lim, Wontaek Song, Joon-Soo Lee, Ji-Myeong Park, Hee-Min Shin, In-Wook Oh, Soon-Hong Hwang, Seungmin Jeong, Sangwon Kang, Chan-Young Lee, Byung-Kwon Min International Journal of Precision Engineering and Manufacturing.2025; 26(9): 2311. CrossRef
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