Accelerometer based on artificial intelligence design and distributed manufacturing

Abstract

The invention discloses an accelerometer based on artificial intelligence design and distributed manufacturing. Big data sets in one-to-one correspondence between geometric parameters and response results of a device by using a simulation method; the big data sets are respectively fed into a bidirectional artificial intelligence network for training; a three-dimensional model is constructed according to the geometrical parameters obtained by the reverse retrieval; a three-dimensional printer which is controlled and managed by a cloud computing platform is used for manufacturing, and the cloudcomputing platform can provide various materials at the same time; a mechanical structure of the device is made of an insulating material; electrodes and leads of the device are manufactured by conductive materials to be interconnected, a temporary supporting structure of a three-dimensional structure is manufactured by sacrificial materials capable of being selectively removed, the supporting structure is selectively removed after integrated manufacturing is completed to obtain the complete device, the design and manufacturing difficulty is lowered, the design and manufacturing period is shortened, and the personalized and intelligent manufacturing is achieved.

Description

Technical field [0001] The invention relates to the field of electronic technology, in particular to an artificial intelligence design method and a distributed manufacturing method of an accelerometer. Background technique [0002] Electronic sensors such as accelerometers, pressure sensors, gyroscopes, etc. are widely used in industrial production and people's daily lives. The design of these sensors is usually done by technicians with professional knowledge, usually isolated modeling and simulation, once the geometric size is modified, it must be re-modeled, which usually takes several weeks, and it is difficult to write analytical reverse design problems. That is, it is often difficult to effectively solve the geometric parameters according to the response results of the device. The manufacturing methods of these sensors are usually based on silicon-based microelectronic processes such as deposition, photolithography, etching, and metallization, which usually take several mon...

AI Technical Summary

Problems solved by technology

The entire design and manufacturing process is completed in a centralized place, with long production cycles, few product models, and high transportation costs... It is difficult to meet the growing needs of users for personalized customization

Images