PATENT CLAIM ANALYSIS

Application Number: 15888024
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["528", "348000"]

Abstract:
The present invention relates to a preparation method of para-aramid nanofibers, and belongs to the technical field of novel polymer materials. The para-aramid nanofibers prepared in the present invention have a diameter of 10-100 nm, and a length of hundreds of microns. The preparation method includes: adding a certain amount of surfactant in a PPTA low-temperature polymerization process, and controlling aggregation of PPTA molecules along with growth of a PPTA molecule chain, thereby preparing the para-aramid fibers with a uniform size and an adjustable nano-scale diameter under assistance of other means (e.g., a coagulator and high-speed shearing dispersion). The present invention is short in production process and simple in equipment, can realize stable batch production to meet needs of large-scale production of the para-aramid nanofibers, has wide application prospects and can be applied to preparing a lithium-ion battery separator, a high-performance composite material and the like.

Claim (Index 3):
The preparation method of para-aramid nanofibers according to  claim 1 , wherein the coagulator is one or a mixture of water, methanol or ethanol and other liquid alcohols according to any ratio.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 1.75
- Patent Class: 528.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['10556152', '12790236', '13765423', '12450326', '10582119']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7499822202428686
- 35 USC 102 Novelty (BERT): 0.4770983839635507
- Combined Prediction Score: 0.7226938366149369
- Mean Citation Score: 182.005568
- Max Citation Score: 208.48418
- Similarity Product: 163.1243625162077

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