PATENT CLAIM ANALYSIS

Application Number: 16023291
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["451", "006000"]

Abstract:
A method of symmetrically chamfering a substrate includes repeating, at least a plurality of times, the steps of chamfering an edge of the substrate using a chamfering wheel, measuring an asymmetric chamfering deviation (y) of the edge of the substrate which is chamfered, and controlling a relative position of the chamfering wheel with respect to the substrate by a value of a function f(y) of the variable y. It is possible to constantly symmetrically chamfer the edge of the substrate via active response to a change in the chamfering environment without a hardware-based operation of the related art.

Claim (Index 1):
A method of symmetrically chamfering a substrate, comprising repeating cycles a plurality of times, each cycle comprising:\n chamfering an edge of the substrate using a chamfering wheel; measuring an asymmetric chamfering deviation (y) of the edge of the substrate which is chamfered; and controlling a relative position of the chamfering wheel with respect to a position of the substrate by a value of a predetermined function f(y) of the variable y, wherein different substrates are chamfered in the respective cycles, wherein in each cycle, the relative position of the chamfering wheel that was previously set is corrected by the value of the function f(y) which is generated in the respective cycle.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.91228
- Patent Class: 451.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14288445', '11657897', '12448892', '10874346', '10989513']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.713233930649582
- 35 USC 102 Novelty (BERT): 0.4843223634456511
- Combined Prediction Score: 0.690342773929189
- Mean Citation Score: 201.092796
- Max Citation Score: 277.95673
- Similarity Product: 226.7407513009417

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