View source for DENTSPLY SIRONA Inc. (20240316870). CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK simplified abstract

=CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK=


==Organization Name==

[[:Category:DENTSPLY SIRONA Inc.|DENTSPLY SIRONA Inc.]]


[[Category:DENTSPLY SIRONA Inc.]]

==Inventor(s)==

[[:Category:Christian Stahl of Darmstadt (DE)|Christian Stahl of Darmstadt (DE)]][[Category:Christian Stahl of Darmstadt (DE)]]

==CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240316870 titled 'CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK

'''Simplified Explanation:'''
The patent application describes a 3D printer with a vat containing liquid photoreactive resin, a transparent bottom, a building platform, a projector, a transport apparatus, and a control device. The control device utilizes a neural network to optimize the movement of the building platform.

* The 3D printer has a vat with a transparent bottom for resin.
* A building platform pulls out the solid component layer by layer.
* A projector projects layer geometry onto the bottom.
* A transport apparatus moves the building platform up and down.
* A control device uses a neural network to optimize platform movement.

'''Key Features and Innovation:'''
* Vat with transparent bottom for resin
* Building platform for layer-by-layer component creation
* Projector for layer geometry projection
* Transport apparatus for platform movement
* Control device with neural network for optimized platform movement

'''Potential Applications:'''
This technology can be used in various industries such as manufacturing, prototyping, and product design.

'''Problems Solved:'''
The technology streamlines the 3D printing process by optimizing platform movement, resulting in more efficient and accurate component production.

'''Benefits:'''
* Enhanced precision in 3D printing
* Improved efficiency in component production
* Streamlined manufacturing processes

'''Commercial Applications:'''
Optimizing platform movement in 3D printing can lead to increased productivity and cost savings in industries such as aerospace, automotive, and healthcare.

'''Prior Art:'''
Prior research in the field of 3D printing and additive manufacturing may provide insights into similar technologies or approaches.

'''Frequently Updated Research:'''
Stay updated on advancements in 3D printing technology, neural networks, and additive manufacturing processes for potential improvements in platform movement optimization.

'''Questions about 3D Printing Technology:'''
1. How does the use of a neural network improve platform movement in 3D printing?
2. What are the potential limitations of using a transparent bottom vat in a 3D printer?


==Original Abstract Submitted==

aspects relates to a 3d printer including a vat having an at least partially transparent bottom for receiving liquid photoreactive resin to produce a solid component; a building platform for holding and pulling out the component layer by layer from the vat; a projector for projecting the layer geometry onto the transparent bottom; a transport apparatus for at least downward and upward movement of the building platform in the tray; and a control device for controlling the projector and the transport apparatus. the control device optimally feed forward controls the pull-off movement of the build platform in the 3d printer using a neural network.



[[Category:B29C64/393]]
[[Category:B29C64/124]]
[[Category:B29C64/245]]
[[Category:B29C64/255]]
[[Category:B33Y10/00]]
[[Category:B33Y30/00]]
[[Category:B33Y50/02]]
[[Category:CPC_B29C64/393]]