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Coordination of 3D Printer Network for Additive Cloud Based Correction and Design Database

IP.com Disclosure Number: IPCOM000249599D
Publication Date: 2017-Mar-07
Document File: 2 page(s) / 34K

Publishing Venue

The IP.com Prior Art Database

Abstract

The novel contribution is a design for a coordinated network of three-dimensional (3D) printers that interact in real time to transmit and share information about faults and remedies. The coordinated network supports programmed collectively in order to develop larger models or synchronize the 3D printers while simultaneously saving this collective knowledge of fault diagnostics and remedies to the Cloud database for 3D printer use.

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Coordination of 3D Printer Network for Additive Cloud Based Correction and Design Database

Current three-dimensional (3D) printers are designed to work in isolation (i.e., restricted to printing the desired product that was developed in a software interfaced with the 3D printer). Current printers do not interact with the other 3D printers to take advantage of collective knowledge and an information base. The current 3D printers are not always in contact with the other 3D printers; therefore, the printers cannot form any kind of 3D printers cluster network that would enable collective programming and synchronized processing. Such a cluster would not only enable the printers to take advantage of information held by the others, such as fault detection and remedies, but also populate a 3D printer Cloud-based database with a list of diagnostic codes and proposed fixes for use by 3D printers in the same domain.

The novel contribution is design for a coordinated network of 3D printers that interact in real time. The printers transmit and share information about faults and remedies. The coordinated network supports programmed collectively in order to develop larger models or synchronize the 3D printers while simultaneously saving this collective knowledge of fault diagnostics and remedies to the Cloud database for 3D printer use.

The design comprises a stack of 3D printers that coordinate with each other as a swarm (similar to swarm robotics) in order to develop the model. The network of 3D printers has the Wi-Fi chip enabled and plugged with the integrated multimedia access processor in order to coordinate with each other and add the diagnostics to the Cloud while creating the model. The system simultaneously uploads 3D images from 3D camera scanners to facilitate real-time fault diagnostics.

A cognitive Cloud-based mechanism allows the 3D printers in the network to share models, respectiv...