PATENT CLAIM ANALYSIS

Application Number: 16083634
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-03
Patent Classification: ["118", "426000"]

Abstract:
The invention relates to a system and a method for the hot-dip galvanization of motor-vehicle components, preferably for mass-production hot-dip galvanization of a plurality of identical or similar motor-vehicle components, in particular in batches, preferably for batch galvanization, especially preferably for high-precision hot-dip galvanization.

Claim (Index 21):
A hot-dip galvanizing method for the large-scale hot-dip galvanization of a multiplicity of identical or similar automotive components, using a zinc/aluminum alloy in a liquid molten form,\n wherein the method comprises the following steps: the automotive components, in a grouped state together with a plurality of further automotive components, are fastened on an goods carrier of a conveying device, wherein the automotive components are provided, on their surface, with a flux and wherein the automotive components are then subjected to hot-dip galvanizing in a galvanizing bath comprising a zinc/aluminum alloy in a liquid molten form, wherein, for hot-dip galvanizing, the automotive components are supplied, in a separated and singled out state, to the galvanizing bath, are then immersed therein and are subsequently emerged therefrom, wherein hot-dip galvanizing is carried out in the separated and singled out state of each of the automotive components and wherein each single automotive component of the plurality of grouped automotive components, in a separated and singled out state, is immersed into an immersion region of the galvanizing bath, then moved from the immersion region to an adjacent emersion region and subsequently emerged in the emersion region.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 1.68966
- Patent Class: 118.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10437925', '13144309', '11640366', '14634184', '14395175']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8290520342331704
- 35 USC 102 Novelty (BERT): 0.5093186812637128
- Combined Prediction Score: 0.7970786989362247
- Mean Citation Score: 284.93658
- Max Citation Score: 301.78333
- Similarity Product: 224.82658565562664

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