PATENT CLAIM ANALYSIS

Application Number: 16255425
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-07
Patent Classification: ["700", "117000"]

Abstract:
Described herein is a Leader-Follower Additive Manufacturing (AM) system which controls multiple AM Devices (3D Printers) simultaneously in order to minimize human monitoring and control during the mass manufacture of AM products. This is accomplished by combining individual AM device closed-loop feedback control with the ability for AM devices to communicate feedback loop data to other AM devices. The communication of feedback loop data between AM devices during the mass fabrication of AM components improves AM process reliability and repeatability. Within the system, AM devices are able to assume the roles of Leaders or Followers; Leader AM devices lead the Follower AM devices during the fabrication of multiple AM products. If errors occur during the fabrication of the AM products, individual AM devices are able to create and implement solutions that solve fabrication errors and communicate that data with the other AM devices for present and future AM fabrication efforts.

Claim (Index 9):
The system of  claim 7  further comprising:\n a central system coupled to the AM devices, wherein the central system includes the repository and long-term storage device.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 99.0
- Lexical Diversity: 1.97561
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15143358', '15619172', '14827956', '15373050', '11201057']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.328139497593415
- 35 USC 102 Novelty (BERT): 0.4863995175061247
- Combined Prediction Score: 0.343965499584686
- Mean Citation Score: 114.9813008
- Max Citation Score: 132.85518000000002
- Similarity Product: 81.07666273379087

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test