IP Library Granted Patent US 10,884,423
Granted Patent B2
US 10,884,423 · App. 15/997,534 · Granted Jan 5, 2021

System, method, and apparatus for acoustic and magnetic induction thickness inspection of a material on a substrate

Inventors: Mark Loosararian (Pittsburgh, PA); Joshua Moore (Pittsburgh, PA); Yizhu Gu (Pittsburgh, PA); Kevin Low (Pittsburgh, PA); Edward Bryner (Pittsburgh, PA); Logan MacKenzie (Union City, PA); Ian Miller (Aspinwall, PA); Alvin Chou (Alpharetta, GA); Todd Joslin (Wexford, PA)
Assignee: Gecko Robotics, Inc.
G05D1/0227B25J5/007B25J9/1697B60B19/006B62D57/02G01B7/105G01B17/02G01B17/025G01N29/00G01N29/225G01N29/265G01N29/28G05B19/00G05D1/0088G05D1/0246G05D1/0272G05D1/0274G01N29/07G01N2291/011G01N2291/0231G01N2291/0258G01N2291/0289G01N2291/02854G01N2291/044G01N2291/051G01N2291/106G01N2291/2634G01N2291/2636G05B2219/45066
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Quick Facts
Patent No.
US 10,884,423
App. No.
15/997,534
Granted
Jan 5, 2021
Kind
B2
Abstract

A system includes an inspection robot having a plurality of input sensors comprising a plurality of magnetic induction sensors and configured to provide inspection data of an inspection surface, wherein the inspection data comprises electromagnetic (EM) induction data, and wherein the plurality of input sensors are distributed horizontally relative to the inspection surface; wherein at least a portion of the inspection surface comprises a ferrous substrate having a non-ferrous coating thereupon; a controller, comprising: an EM data circuit structured to interpret the EM induction data, and to determine a substrate distance value in response to the EM induction data; and a thickness processing circuit structured to determine a thickness value in response to the EM induction data, the thickness value comprising a thickness of the non-ferrous coating.

Claims (36)

1. A system, comprising:

an inspection robot having a first plurality of magnetic induction sensors configured to provide electromagnetic (EM) induction data of an inspection surface, and a second plurality of ultra-sonic (UT) sensors configured to provide acoustic data, the first plurality of magnetic induction sensors and the second plurality of UT sensors both distributed horizontally relative to the inspection surface, wherein each of a corresponding one of the first plurality of magnetic induction sensors is vertically aligned with, and positioned forward of, each of corresponding one of the second plurality of UT sensors, wherein at least a portion of the inspection surface comprises a substrate having a coating thereupon; and

a controller, comprising:

an acoustic data circuit structured to interpret the acoustic data;

an EM data circuit structured to interpret the EM induction data, and to determine a substrate distance value in response to the EM induction data; and

a thickness processing circuit structured to determine a thickness value in response to the EM induction data, the acoustic data, and the substrate distance value;

wherein the thickness value comprises a thickness of the coating.

2. The system of claim 1 , wherein the acoustic data is raw acoustic data.

3. The system of claim 1 , wherein the substrate is ferrous and the coating is non-ferrous.

4. The system of claim 1 , wherein the inspection robot further comprises a plurality of sleds, and wherein each of the corresponding one of the first plurality of magnetic induction sensors is mounted to a same one of the plurality of sleds as each of the corresponding one of the second plurality of UT sensors.

5. The system of claim 1 , wherein the inspection robot further comprises a first plurality of sleds comprising a first payload and a second plurality of sleds comprising a second payload, wherein each of the first plurality of magnetic induction sensors is mounted to one of the first plurality of sleds and wherein each of the second plurality of UT sensors is mounted to one of the second plurality of sleds, and wherein the first payload is positioned forward of the second payload.

6. The system of claim 5 , wherein each sled of the first plurality of sleds is vertically aligned with a corresponding sled of the second plurality of sleds.

7. The system of claim 1 , wherein the inspection robot further comprises a plurality of sleds, wherein each of the first plurality of magnetic induction sensors is mounted to one of the plurality of sleds, and wherein each of the plurality of sleds comprises a bottom surface having a curvature matching a curvature of the inspection surface.

8. The system of claim 1 , wherein the inspection robot further comprises a plurality of sleds, wherein each of the first plurality of magnetic induction sensors is mounted to one of the plurality of sleds, the system further comprising a means for self-aligning the plurality of sleds to the inspection surface.

9. A system, comprising:

an inspection robot having:

a first plurality of magnetic induction sensors configured to provide electromagnetic (EM) induction data of an inspection surface, wherein at least a portion of the inspection surface comprises a substrate having a coating thereupon,

a second plurality of ultra-sonic (UT) sensors configured to provide acoustic data,

a first plurality of sleds comprising a first payload, and

a second plurality of sleds comprising a second payload,

wherein:

each of the first plurality of magnetic induction sensors is mounted to one of the first plurality of sleds and each of the second plurality of UT sensors is mounted to one of the second plurality of sleds,

the first payload is positioned forward of the second payload, and

the first plurality of magnetic induction sensors and the second plurality of UT sensors are both distributed horizontally relative to the inspection surface; and

a controller, comprising:

an acoustic data circuit structured to interpret the acoustic data;

an EM data circuit structured to interpret the EM induction data, and to determine a substrate distance value in response to the EM induction data; and

a thickness processing circuit structured to determine a thickness value in response to the EM induction data, the acoustic data, and the substrate distance value;

wherein the thickness value comprises a thickness of the coating.

10. The system of claim 9 , wherein each of a corresponding one of the first plurality of magnetic induction sensors is vertically aligned with, and positioned forward of, each of a corresponding one of the second plurality of UT sensors.

11. The system of claim 10 , wherein the inspection robot further comprises a plurality of sleds, and wherein each of the corresponding one of the first plurality of magnetic induction sensors is mounted to a same one of the plurality of sleds as each of the corresponding one of the second plurality of UT sensors.

12. The system of claim 9 , wherein each sled of the first plurality of sleds is vertically aligned with a corresponding sled of the second plurality of sleds.

13. The system of claim 9 , wherein the inspection robot further comprises a plurality of sleds, wherein each of the first plurality of magnetic induction sensors is mounted to one of the plurality of sleds, and wherein each of the plurality of sleds comprises a bottom surface having a curvature matching a curvature of the inspection surface.

14. The system of claim 9 , wherein the inspection robot further comprises a plurality of sleds, wherein each of the first plurality of magnetic induction sensors is mounted to one of the plurality of sleds, the system further comprising a means for self-aligning the plurality of sleds to the inspection surface.

15. The system of claim 9 , wherein the acoustic data is raw acoustic data.

16. The system of claim 9 , wherein the substrate is ferrous and the coating is non-ferrous.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 13, 2018
From: LOOSARARIAN, MARK; MOORE, JOSHUA; GU, YIZHU; LOW, KEVIN; BRYNER, EDWARD; MACKENZIE, LOGAN; MILLER, IAN; CHOU, ALVIN; JOSLIN, TODD
To: GECKO ROBOTICS, INC.
Reel/Frame 046075/0171 →
Continuity (4)
Continuation 15853391 · Dec 22, 2017
Provisional Application 62596737 · Dec 8, 2017
Provisional Application 62438788 · Dec 23, 2016
Related Publication 20180284794A1 · Oct 4, 2018
Cited By (16)
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