PATENT CLAIM ANALYSIS

Application Number: 15943442
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["700", "098000"]

Abstract:
Additive manufacturing systems using artificial intelligence can identify an anomaly in a printed layer of an object from a generated topographical image of the printed layer. The additive manufacturing systems can also use artificial intelligence to determine a correlation between the identified anomaly and one or more print parameters, and adaptively adjust one or more print parameters. The additive manufacturing systems can also use artificial intelligence to optimize one or more printing parameters to achieve desired mechanical, optical and/or electrical properties.

Claim (Index 12):
The method of  claim 8 , further comprising:\n identifying a print parameter that affects at least one of a mechanical property, an optical property, and an electrical property of the object; measuring the at least one of the mechanical property, the optical property, and the electrical property after the object is printed; determining at least one of an anomaly rate and an anomaly pattern of the object; and determining how the at least one the anomaly rate and the anomaly pattern and the print parameter impact the at least one of the mechanical property, the optical property, and the electrical property of the object.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 91.0
- Lexical Diversity: 1.7551
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14448229', '14623471', '15824207', '15864425', '14480717']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3395144334231347
- 35 USC 102 Novelty (BERT): 0.4802486411410573
- Combined Prediction Score: 0.353587854194927
- Mean Citation Score: 145.670712
- Max Citation Score: 173.75538999999995
- Similarity Product: 122.13598679960606

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

Dataset: test