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.

The electrochemical sensor can detect bioaminesall amino acids without chemically labeling proceduresenzymatic catalysisbe capable of performing the measurement in pH-varied solutions . The electrodes can be modified with a specific membrane for the selective detection of histamineintegrated with a separation device to perform high selective detection of multi-analytes.

Two parts in this integrated creative invention: deep processing for frozen aquatic meal productshigh-valued utilization for byproducts. The deep processing technology for fish meal is the commodities without thawingwashing process while cooking. The technology also can remove fishy smells. Byproducts are full of rich nutrition but usually were used as animal feeding food, sold by low prices,evenly discarded. This technology is developed to extract nutrition factors in fish bone/scales by using an autoclave system with a series of heatingpressure procedures.

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.

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 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.