進階篩選

Technical category
技術研發單位
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    • Advancement Project for Smart Machinery and Aerospace Industries in Central and Southern Taiwan

      Smart machinerynovel materials FutureTech Advancement Project for Smart Machinery and Aerospace Industries in Central and Southern Taiwan

      The developed technology is a cross-platform interface demonstrates its capabilities via the machining center VP2012. The interface is able to synchronize operating systems for diversified controllers. It integrates multiple functions, such as intelligent thermal balance, intelligent vibration analysis, and artificial neural network learning responsive technique. The developed technology advances software, hardware and firmware of a MIT machining center, setting up a representative example of smart machine for local manufactures, even the whole industry.
    • Development of cutting knowledge base to enhance machine tool performance

      Smart machinerynovel materials FutureTech Development of cutting knowledge base to enhance machine tool performance

      "Tool replacementtool life diagnosis" in smart manufacturing is a key link between the quality of workpiecethe efficiency of the manufacturing process, so it is an indicator of the operating efficiency of machine tools. This technology combines on-site monitoring data, laboratory analysisdeep learning to provide best tool selectionprocessing parameter combinations for
    • Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      AI & IOT Application FutureTech Applying Machine Learning to User Mobility Type Identification for 5th Generation Mobile Networks

      Due to the fast development of 5G networks, it is critical to identify users service types to allocate resources intelligently. Our technology focuses on users' mobility type identification by extracting practical features from users' cellular information. We proposed a system architecture and have collected 700-hour data with 150 GB. By using our data and other datasets in the world, we show that our technology can achieve 95% accuracy, and reduce 16% energy consumption compared to traditional methods.
    • Ultrasonic toolholder module

      Smart machinerynovel materials FutureTech Ultrasonic toolholder module

      The ULTRASONIC technologythe Non-contact power transmission technology offers high qualityefficient machining for ceramicother brittle materials. Depending on the workpiece requirements, our product allows higher feedinfeed, which increases machining efficiency for at least 30, longer tool lifesignificantly better surface finishes.
    • Efficiency Boosting System for Computer Numerical Control Milling Machine Based on AIBig Data Analytics

      AI & IOT Application FutureTech Efficiency Boosting System for Computer Numerical Control Milling Machine Based on AIBig Data Analytics

      This technique combines more than one AI models to precisely predict current under noisy data from current sensoroptimizes speed rate based on this AI forecasting model. At the same time, it considers the practical requirementslimitations of workpiece surface roughness, tool machine current load, etc. This technique provides decision supports for optimizing parameters of CNC milling machine to keep high efficiencyenhance energy conservation.
    • The Study of Chips Characteristics on Tool Life Influence

      Smart machinerynovel materials Innotech Expo The Study of Chips Characteristics on Tool Life Influence

      In the machining, the cutting between the toolthe material produces chips. Cutting parameterstool wear can affect the colorshape of the chips. According to the observer's experience, the cutting conditions for chip formation can be known. It means that using cutting chips to decide wear of cutting tools is theoretically a feasible method.
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