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 12):
The system of  claim 10  wherein the long-term solution generation device comprises at least one of:\n a material consumption management device adapted to analyze material consumption of multiple AM devices having different material flow settings to determine which material flow settings optimize a preselected output parameter; \n a standard procedure development and improvements device adapted to analyze stored performance and errors of multiple AM devices to determine standard procedures that optimize a preselected output parameter, \n a build settings and parameter improvements device adapted to analyze stored build settings and errors from multiple AM devices to determine build settings that optimizes a preselected output parameter; \n a hardware and equipment improvements device adapted to analyze performance and error information from multiple AM devices having different hardware and equipment to determine which hardware and equipment optimize a preselected output parameter; \n a data storage device adapted to analyze performance and error information from multiple AM devices having different data storage equipment to determine which data storage equipment optimizes a preselected output parameter; \n a CAD modeling predictive analytic device adapted to analyze performance and error information from multiple AM devices having different geometric adjustment settings to determine which geometric adjustment settings optimize a preselected output parameter; \n a solution verification and analysis device adapted to analyze performance and error information from multiple AM devices implementing different solutions to determine which data solutions optimize a preselected output parameter; \n a simulation comparison and improvements device adapted to analyze performance and error information from multiple AM devices implementing different 3D model simulations to determine which 3D model simulations optimize a preselected output parameter; \n a maintenance routine improvements device adapted to analyze performance and error information from multiple AM devices implementing different maintenance routines to determine which maintenance routines optimize a preselected output parameter; and \n a facilities operation and efficiency device adapted to analyze performance and error information from multiple AM devices implementing different facilities upgrades to determine which facilities upgrades optimize a preselected output parameter.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 99.0
- Lexical Diversity: 1.97561
- Patent Class: 700.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15143358', '15619172', '14827956', '15373050', '11201057']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3577449742483547
- 35 USC 102 Novelty (BERT): 0.4771471848311864
- Combined Prediction Score: 0.3696851953066379
- Mean Citation Score: 114.9813008
- Max Citation Score: 132.85518000000002
- Similarity Product: 89.34797705097199

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