PATENT CLAIM ANALYSIS

Application Number: 15985778
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["264", "496000"]

Abstract:
A method of additive manufacturing of a three-dimensional object is disclosed. The method comprises sequentially forming a plurality of layers each patterned according to the shape of a cross section of the object. In some embodiments, the formation of at least one of the layers comprises performing a raster scan to dispense at least a first building material composition, and a vector scan to dispense at least a second building material composition. The vector scan is optionally along a path selected to form at least one structure selected from the group consisting of (i) an elongated structure, (ii) a boundary structure at least partially surrounding an area filled with the first building material, and (iii) an inter-layer connecting structure.

Claim (Index 1):
A method of additive manufacturing of a three-dimensional object, comprising sequentially forming a plurality of layers each patterned according to the shape of a cross section of the object, thereby forming the object;\n wherein for at least one of said plurality of layers, said formation of said layer comprises dispensing at least a first building material composition at a temperature above 60\u00b0 C. and at least a second building material composition at a temperature below 40\u00b0 C.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 1.95588
- Patent Class: 264.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15494577', '14112252', '15325760', '13989826', '15227049']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7813459250931554
- 35 USC 102 Novelty (BERT): 0.5050448851632692
- Combined Prediction Score: 0.7537158211001668
- Mean Citation Score: 224.53391
- Max Citation Score: 281.59348
- Similarity Product: 207.23757834145545

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

Dataset: test