PATENT CLAIM ANALYSIS

Application Number: 16324283
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["164", "397000"]

Abstract:
The invention relates to a method for determining the position of the cores in an injection mould, comprising the steps essentially consisting of: selecting a core R rep  in a population of cores with the least difference from the mean of the measured differences between k cores and the theoretical three-dimensional spatial model, positioning this core R rep  in space relative to at least one of the functional faces of a theoretical three-dimensional spatial model of the core, and repositioning core support points so that they can support the core R rep  in the position corresponding to its repositioning in space performed in the previous step.

Claim (Index 12):
A method for determining the position of the cores in an injection mould, comprising the steps of:\n a) Collecting k cores noted R 1  . . . R i  . . . R k  in a population of cores all produced from the same theoretical three-dimensional core model, b) making a three-dimensional model of each of the cores, c) relocating each of the three-dimensional models in space relative to  1  support points T 1  . . . T q  . . . T l  of the core in the mould to obtain a relocated three-dimensional spatial model of each core V1, d) selecting the core noted R rep  the three-dimensional spatial model V1 of which has the least difference with the theoretical three-dimensional spatial model, e) relocating the three-dimensional model of the core R rep  with the theoretical three-dimensional spatial model by taking into account at least one functional face of the theoretical model of the core in order to obtain a relocated three-dimensional spatial model V2 of the core R rep , f) repositioning the support points T q  so that it can support the core R rep  in the spatial position corresponding to the relocated three-dimensional spatial model V2 of the core R rep .

Metadata:
- Claim Count in Document: 41.0
- Percentile: 99.0
- Lexical Diversity: 1.79032
- Patent Class: 164.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12947908', '15353633', '15028374', '12927653', '15949769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7100677306582173
- 35 USC 102 Novelty (BERT): 0.4928142233246869
- Combined Prediction Score: 0.6883423799248642
- Mean Citation Score: 151.17410800000005
- Max Citation Score: 156.4186
- Similarity Product: 97.93623129587174

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

Dataset: test