IP Library Granted Patent US 10,156,515
Granted Patent B2
US 10,156,515 · App. 15/405,954 · Granted Dec 18, 2018

Material detection system

Inventors: William A. Briese (Hinckley, OH); Clifford J. Weber (Richfield, OH); Steven W. Pesek (Hinckley, OH)
Assignee: GED Integrated Solutions, Inc.
G01N21/25G01J3/46G01N21/251G01N21/474G01N21/86G01N33/20G01V3/10G01N2021/8609
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Quick Facts
Patent No.
US 10,156,515
App. No.
15/405,954
Granted
Dec 18, 2018
Kind
B2
Abstract

A system and method that automatically determine a type of material at a machine input to prevent damage to the machine. A user interface receives a selection of a material type to be loaded into the machine. A controller performs a safety check before starting a process using the machine by matching the selected material type to a material type at the machine input determined based on signals received from a plurality of sensors. The plurality of sensors comprise a material present sensor, a material type sensor opposed by a different material having a inductive sensor correction factor of 0.5 or less, and a material color sensor.

Claims (43)

1. A system comprising:

a material detection system to detect a presence of a material during use at an input to a machine and to detect properties of the material, the material detection system comprising:

a material present sensor;

a material type sensor opposed by a different material having an inductive sensor correction factor of 0.5 or less; and

a material color sensor; and

a controller of the machine to adjust at least one parameter of the machine based on a type of the material determined based on the properties of the material to prevent damage to the machine wherein the material during use is placed between the material type sensor and the different material.

2. The system of claim 1 , wherein the material present sensor comprises an inductive proximity sensor configured to detect the presence of a metal material at the input to the machine.

3. The system of claim 1 , wherein the material during use comprises a metal material, wherein the different material allows the material type sensor to discriminate between a mild steel of the metal material and a stainless steel of the metal material.

4. The system of claim 1 , wherein the material type sensor is immune to sensing metals with an inductive sensor correction factor of 0.5 or less.

5. The system of claim 1 , wherein the material type sensor detects a portion of a magnetic field not absorbed by the material.

6. The system of claim 1 , wherein the different material comprises at least one of brass, aluminum, and copper.

7. The system of claim 1 , wherein the different material is in a shape of a block or a cylinder.

8. The system of claim 1 , wherein the material color sensor comprises a diffuse reflective photoelectric sensor that determines at least one of a degree of absorbency and a degree of reflectivity of the material.

9. The system of claim 1 , wherein the controller determines the type and grade of the material based on signals received from the material present sensor, the material type sensor, and the material color sensor.

10. The system of claim 1 , wherein the controller compares safe parameters related to the type of material to a material selected based on an input to a graphical user interface to allow for an automated change over to prevent damage to the machine.

11. The system of claim 1 further comprising:

at least one of a user interface and communication port that receives a selection of the type of material to be loaded into the machine; and

said controller that performs a safety check matching the selected material type to a material type determined based on signals received from the plurality of sensors comprising the material present sensor, the material type sensor opposed by the different material, and the material color sensor.

12. The system of claim 11 , wherein a material detected by the material present sensor is a metal material.

13. A method of detecting a type and grade of material to be processed by a machine, the method comprising the steps of:

providing a material present sensor;

providing a material type sensor opposed by a different material having an inductive sensor correction factor of 0.5 or less;

providing a material color sensor;

providing a controller in the machine having a feedback loop to adjust at least one parameter of the machine based in the type of material detected; and

providing a material between the material type sensor and the different material to be identified.

14. The method of claim 13 , further comprising the steps of:

providing an inductive proximity sensor configured to detect the presence of a metal material at the input to the machine.

15. The method of claim 13 , further comprising the steps of:

providing a diffuse reflective photoelectric sensor that determines a contrast of the material.

16. The method of claim 13 , further comprising the steps of:

determining the type and grade of the material based upon signals received from the material type sensor and the material color sensor.

17. The method of claim 13 , further comprising the steps of:

providing at least one of brass, aluminum, and copper to comprise the different material.

18. The method of claim 13 , further comprising the steps of:

detecting a portion of a magnetic field not absorbed by the material to determine the material type.

19. The method of claim 13 , further comprising the steps of:

comparing safe parameters related to the type of material detected by the sensors to a material selected based on the selection of a material type to allow for a change over to prevent damage to the machine.

20. A system comprising:

a material detection system to detect a presence of a material during use at an input to a machine and to detect properties of the material, the material detection system comprising:

a material present sensor comprising an inductive proximity sensor;

a material type sensor opposed by a different material having an inductive sensor correction factor of 0.5 or less, wherein the material type sensor detects a portion of a magnetic field not absorbed by the material, wherein the material during use is placed between the material type sensor and the different material; and

a material color sensor comprising a diffuse reflective photoelectric sensor that determines at least one of a degree of absorbency and reflectivity of the material; and

a controller of the machine that includes a feedback loop to the machine, which performs a safety check matching a selected material type to a material type determined based on signals received from the sensors and based upon a prior and different material processed by said machine during use, said controller adjusts at least one parameter of the machine based on a type of a subsequent material determined based on the properties of the subsequent material to prevent damage to the machine.

Assignments (7)
SECURITY INTEREST Recorded Aug 9, 2023
From: GED INTEGRATED SOLUTIONS, INC.
To: SYNOVUS BANK
Reel/Frame 064533/0230 →
RELEASE OF SECURITY INTEREST Recorded Jun 28, 2023
From: THE HUNTINGTON NATIONAL BANK (SUCCESSOR BY MERGER TO TCF NATIONAL BANK)
To: GED PURCHASER, INC.; GED INTEGRATED HOLDINGS, INC.; GED INTEGRATED SOLUTIONS, INC.; NORFIELD ACQUISITION, LLC
Reel/Frame 064149/0591 →
SECURITY INTEREST Recorded May 25, 2021
From: GED PURCHASER, INC.; GED INTEGRATED HOLDINGS, INC.; GED INTEGRATED SOLUTIONS, INC.; NORFIELD ACQUISITION, LLC
To: TCF NATIONAL BANK, AS ADMINISTRATIVE AGENT
Reel/Frame 056392/0656 →
RELEASE OF SECURITY INTEREST Recorded Mar 6, 2020
From: FIFTH THIRD BANK, NATIONAL ASSOCIATION, FORMERLY KNOWN AS FIFTH THIRD BANK
To: GED INTEGRATED SOLUTIONS, INC.
Reel/Frame 052117/0127 →
SECURITY INTEREST Recorded Mar 4, 2020
From: GED PURCHASER, INC.; GED INTEGRATED HOLDINGS, INC.; GED INTEGRATED SOLUTIONS, INC.
To: TCF NATIONAL BANK
Reel/Frame 052159/0408 →
FIRST AMENDMENT TO PATENT SECURITY AGREEMENT Recorded Oct 16, 2017
From: GED INTEGRATED SOLUTIONS, INC.
To: FIFTH THIRD BANK
Reel/Frame 044217/0213 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 13, 2017
From: BRIESE, WILLIAM A.; WEBER, CLIFFORD J.; PESEK, STEVEN W.
To: GED INTEGRATED SOLUTIONS, INC.
Reel/Frame 041694/0557 →
Continuity (2)
Provisional Application 62278701 · Jan 14, 2016
Related Publication 20170205334A1 · Jul 20, 2017
Cited By (1)
US 12,258,810