Abstract
Additive Manufacturing (AM), commonly known as 3D printing, is a kind of
manufacturing technology that uses materials to build objects layer by layer to meet the
needs of all areas of production and life. Preprocessing model data is an important step in
additive manufacturing process. At present, model data preprocessing software is mostly
client-side off-line programs, which not only faces the risk of algorithm cracking and data
loss, but also frequently updates and multi-terminal adaptation. With the advent of Web3.0
era, the processing speed of browser engine is rapidly improved, and the real-time three-
dimensional data rendering scheme is becoming more and more improved. Web application
can be effectively combined with additive manufacturing pretreatment process to establish
a practical and convenient additive manufacturing data pretreatment platform.
Firstly, the requirements of additive manufacturing users for preprocessing software
are analyzed, and then the system framework and technical framework of additive
manufacturing preprocessing platform based on web are designed according to the
requirements. The system framework includes registration and login, user model
management, model interaction, model data preprocessing and other functional modules.
Vue, Express.js, MongoDB, Three.js and Ant Design Vue are used as the underlying support
of the platform; Then, the data structure of the system is described, and the redundancy
removal, topology reconstruction, layered slicing, trajectory filling and other algorithms are
optimized according to the characteristics of JavaScript language; Aiming at the problem of
3D layer hidden control, a recursive mapping tree construction method is designed. The
development mode of front-end and back-end separation is adopted to realize the
management of system users and model data, as well as the import and export of 3D model
files, layered slicing, trajectory planning, GCode generation and other functions. Finally,
the system is deployed on the cloud server.
The test results of the system show that the process of additive manufacturing data
preprocessing can be well combined with Web application, and the system interface is
reasonable. There is no obvious functional defects. The system can meet the requirements
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