PATENT CLAIM ANALYSIS

Application Number: 16073142
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["338", "002000"]

Abstract:
A 3-dimensional printed load cell part can include a part body formed of fused thermoplastic polymer particles, and a plurality of strain sensors separately formed of a matrix of conductive particles interlocked with a matrix of fused thermoplastic polymer particles. The plurality of strain sensors can have a first electrical contact at a first end and a second electrical contact at a second end. The particles of the plurality of strain sensors can be continuously fused to the particles of the part body.

Claim (Index 9):
A method of making a 3-dimensional printed load cell part, comprising:\n dispensing a conductive fusing ink onto a plurality of sensor areas of a layer of thermoplastic polymer particles, wherein the conductive fusing ink comprises conductive particles; dispensing a second fusing ink onto non-sensor areas of the layer of thermoplastic polymer particles, wherein the second fusing ink comprises a fusing agent capable of absorbing electromagnetic radiation to produce heat; and fusing the plurality of sensor areas and the non-sensor areas with electromagnetic radiation to form a plurality of strain sensors in the plurality of sensor areas and a part body in the non-sensor areas, wherein the plurality of strain sensors comprise a matrix of conductive particles interlocked with a matrix of fused thermoplastic polymer particles and the part body comprises fused thermoplastic polymer particles, and wherein the particles of each of the plurality of strain sensors are continuously fused to the particles of the part body.

Metadata:
- Claim Count in Document: 24.0
- Percentile: 95.0
- Lexical Diversity: 2.23077
- Patent Class: 338.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15510122', '15523522', '14900860', '10434313', '15036937']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6638414572778102
- 35 USC 102 Novelty (BERT): 0.4568971071434934
- Combined Prediction Score: 0.6431470222643786
- Mean Citation Score: 123.969009
- Max Citation Score: 126.21475
- Similarity Product: 88.71836298416555

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