PATENT CLAIM ANALYSIS

Application Number: 16024710
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-08
Patent Classification: ["358", "001900"]

Abstract:
An aided design method of print layers for 3D printing is provided. The method is performed for rendering and displaying a GUI at a computer apparatus ( 2 ), selecting one of print layers, configuring an editable region and marking it on the GUI, configuring one or more print block(s) in the editable region according to an edit operation, generating one of multiple layers of object print data according to the print block(s) and performing above-mentioned steps repeatedly until all of the multiple layers of the object print data have been generated. The present disclosed example has an ability to aid the user to design multiple print layers and reducing a probability of failure of printing 3D physical model.

Claim (Index 4):
The aided design method of print layers for 3D printing according to  claim 1 , wherein each of the print layers comprises a plurality of blank blocks; the step c) comprises following steps:\n c1) configuring all of the blank blocks of the current print layer as the editable blocks of the editable region if determining that the current print layer is a bottom layer; c2) selecting at least one of the blank blocks of the current print layer according to a position of each of the print blocks of the other print layer, and configuring the at least one selected blank block as the at least one editable block, if determining that the current print layer is not the bottom layer, wherein the other print layer is below the current print layer; and c3) marking the editable region.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 94.0
- Lexical Diversity: 1.85915
- Patent Class: 358.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['16014898', '14846998', '15436762', '13552970', '14851038']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5026263178583349
- 35 USC 102 Novelty (BERT): 0.479764292081965
- Combined Prediction Score: 0.5003401152806979
- Mean Citation Score: 144.50808999999995
- Max Citation Score: 146.56613000000004
- Similarity Product: 101.31322968480173

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

Dataset: test