DENTSPLY SIRONA Inc. (20240316870). CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK simplified abstract
Contents
CONTROL OF WITHDRAWAL MOVEMENT IN 3D PRINTING USING A NEURAL NETWORK
Organization Name
Inventor(s)
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.
