Robotics & Machine Learning Daily News2024,Issue(Mar.21) :150-153.

Patent Issued for Tip calibration in an additive manufacturing system (USPTO 119 19242)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :150-153.

Patent Issued for Tip calibration in an additive manufacturing system (USPTO 119 19242)

扫码查看

Abstract

News editors obtained the following quote from the background information suppli ed by the inventors: “The present disclosure relates to additive manufacturing s ystems for 3D printing of parts. In particular, the present disclosure relates t o systems and methods for print head tip calibration for print heads used in a 3 D printer. All references disclosed herein are incorporated by reference. “Additive manufacturing, also called 3D printing, is generally a process in whic h a three-dimensional (3D) part is built by adding material to form a 3D part ra ther than subtracting material as in traditional machining. Using one or more ad ditive manufacturing techniques, a three-dimensional part of virtually any shape can be printed from a digital model of the part by an additive manufacturing sy stem, commonly referred to as a 3D printer. A typical additive manufacturing wor k flow includes slicing a three-dimensional computer model into thin cross secti ons defining a series of layers, translating the result into two-dimensional pos ition data, and transmitting the data to a 3D printer which manufactures a three -dimensional structure in an additive build style. Additive manufacturing entail s many different approaches to the method of fabrication, including material ext rusion (e.g., fused deposition modeling, which may include continuous fiber depo sition), ink jetting, selective laser sintering, powder/binder jetting, electron -beam melting, electrophotographic imaging, and stereolithographic processes.

Key words

Business/Emerging Technologies/Machine Learning/Robotics/Robots/Stratasys Inc

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文