This technology aims to automatically extractdefine features from a data-driven perspective through a series of data engineering, machine learningensemble learning technologies via the big data collected from equipment sensorsquality characteristic measurement results. For products that have no quality measurement, a virtual metrology resultpredicted confidence score are provided as a decision-making basis for process control.

The IAMA system with Automatic Virtual Metrology (AVM) technology can enable a 3D printing laser powder bed fusion (LPBF) machine to achieve the world＇s first innovative capability of online layer-to-layer quality predictionfeedback control, which improves the final product quality such as tensile strengthsurface roughnessrealize the goal of nearly Zero Defects of all products.

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.

Combined the advanced synchrotron beamline with the in-situ processing technologiesthe diversified measurement systems, we provide a parametrizable AI platform for material manufacturing processes, microstructures,product performance.

This proposed technique aims for solving the key challenge in the chemical, pharmaceutical,biomedical raw material industries: how to develop effectiveeconomically feasible downstream processing. We presented an integrated continuous extractionphase separation reactor, which consist of a unique helix wire to precisely control the liquid-liquid interface. It provides R&Dindustry with a complete solution at production sites to quickly screen downstream processing with different permutationscombinationsgreatly reduces time costsexpensive materials used.

The smart graphene (Gr) sensor developed by this team is self-assembly arranged through Gr. No traditional polarization process is further required due to use of high conductivity of Gr. Further, because of the conductivity of the Gr sensor itself, no additional electrodes are required for collecting the mechanical-electric signals.The process of manufacturing the piezoelectric film can be simplifiedthe cost of process reduced. Moreover, the Gr sensor can be directly coated on materials with different curved shapes and, the sensitivity of the direct-coated sensor can be greatly enhanced.

Super fast terapixel server allows multiple users to viewanalyze gigapixelterapixel images with mobile devices, such as iPhones, iPads, Android mobiles,laptops at the same time. Users could annotateanalyze the data using built-in tools such as 3d effect, color deconvolution, color quantification, nuclei/object detection, lengtharea measurement,quantitative reporting system.

This invention targets at value-added increase for fish bone/scale by-products through a series of manufacturing units of steaming, pressure/ temperature,drying. The core design of pressure/temperature in terms of powdered machining equipment consists of a high pressure chamber, heating components, superheated steam,operations experiments as well.

This technique employs AIbig data analytics to precisely forecast cooling load demandestimate efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load interval are also considered for practical needs. Decision supports of optimal chiller configuration are provided to enhance energy conservation.

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.

This project develops a high-precision maskless lithography system consists of digital light processing, microlens / spatial filters arrays,precision servo-controlled motion technologies. Based on this maskless UV lithographic system, we are able to achieve UV patterning of arbitrarycomplicated 2D/3D microstructures for advanced IC substratepackaging.

This technique employs AIbig data analytics to precisely forecast cooling load demandestimates the efficiency of different chiller combinations. Time-of-Use Pricingoptimal chiller load-interval are also considered for practical needs. Decision supports of optimal chiller configuration is provided to enhance energy conservation. Moreover, using real data feedbackmodel health examination, the model can do self-calibrationmake evolution, continuously learn from the experts,provide decision supports in good quality.

To train neurosurgery internsincrease their confidencesurgical skills, we employed 3D printing, mold design,casting technology to develop medical simulators. The simulators allow students to adjust the angle of the head based on the location of the angioma (brain tumor), perform a craniotomy, move the soft tissue of the brain aside using forceps, locate the angioma (brain tumor),clip the angioma (remove the brain tumor) using medical instruments,complete the entire training while artificial blood is flowing through the simulator.

This technology contains two important sub-technologies. The first is the development of ultra-high performance concrete composite materials, mastering the 3D printing related properties,developing printable concrete that can actually be used for printing. The second is the simulation, analysisoptimization technology of the concrete 3D printing process. The infinite element method developed by ourselves is used to simulateanalyze the concrete 3D printing process,the geometric of the object is considered to optimize the printing pathparameters.