PATENT CLAIM ANALYSIS

Application Number: 15888815
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["700", "098000"]

Abstract:
A method includes applying thermal and/or strain modeling to the CAD representation of an object. In addition, scan path data is generated based at least in part on a result of the thermal and/or strain modeling. A build file comprising the scan path data is generated. The build file comprises instructions that configure an additive manufacturing tool to generate the object according to the scan path data.

Claim (Index 18):
A method comprising:\n obtaining a CAD (computer-aided design) representation of an object; applying thermal and/or strain modeling to the CAD representation; generating a plurality of layer scan path data sets, each of said data sets corresponding to a respective layer of the object, each of said layers having a respective predetermined thickness, said predetermined thicknesses not being identical for all of said layers, said respective predetermined thicknesses each having been determined based at least in part on a result of the thermal and/or strain modeling; and generating a build file comprising the scan path data sets, wherein the build file comprises instructions that configure an additive manufacturing tool to generate the object according to the scan path data sets.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.6
- Patent Class: 700.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15677417', '14573869', '15677406', '15677426', '15449536']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3928854747091472
- 35 USC 102 Novelty (BERT): 0.4687677889011308
- Combined Prediction Score: 0.4004737061283456
- Mean Citation Score: 160.29980799999996
- Max Citation Score: 168.83182
- Similarity Product: 121.76775600345016

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