1. Demonstrate Virtual Manufacturing/AR/VR technology, integrate product designprocess planning processes (simultaneous engineering). 2. 3D printing design system: Utillized Rhinos built-in calculation editor Grasshopperinfinite element method to generate complex lattice microstructures. The lattices model could directly transfer to all types additive manufacturing machine to fabricate the designs, allowing for rapid prototypinglattices shapes iteration.

"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

The special gear processing software was developed to calculate the cutting path. The CNC gear generator with high flexibility was utilized to process all kinds of special gear teethdress the gear precision by control feedbackcompensation. Conversational human-machine interface has contributed to simplification of modification programoperator.

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 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 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.