System and method of automated part evaluation including inspection, disposition recommendation and refurbishment process determination

• US 20020128790A1
• Filed: 03/09/2001
• Published: 09/12/2002
• Est. Priority Date: 03/09/2001
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Woodmansee, Donald
• Application Number:
  US09/801,858
• Publication Number:
  US 20020128790A1
• Time in Patent Office: Days
• US Class Current: 702/81
• CPC Class Codes: B23P 6/002 Repairing turbine components, e.g. moving or stationary blades, rotors, B23P6/045 takes precedence
• CPC Class Codes: G06T 2207/30164 Workpiece; Machine component
• CPC Class Codes: G06T 7/0006 using a design-rule based approach

Abstract

A system and method for automatically evaluating the dimensions and conditions of parts. The system and method involve inspecting a part for changes in its condition (usually during service), making a recommendation as to the disposition of the part for repair, and, if the part is repairable, determining a process to refurbish the part. The system and method utilize CMMs to not only take dimensional- and surface-related measurements of the part, but also to precisely take digital images of all part surfaces. These images are analyzed by computer software, and a computer-generated report outlining the condition of the part is then produced from the measurements. The report contains a disposition recommendation, and a recommended set of repair processes to successfully refurbish the part so that it can be returned for further service.

Claims

1. A system for automatically evaluating a part comprising:

inspecting apparatus for collecting data concerning the part; and

analyzing apparatus for determining if the part can be returned to service and for producing a report on the condition and disposition of the part and a recommended set of repair processes to refurbish the part, based on said collected data.

2. A system for automatically evaluating a part as recited in claim 1, wherein said inspecting apparatus comprises:

a coordinate measuring machine to measure the dimensions of the part;

sensors to detect defects in and wear of the part; and

a memory for storing measurement data from said coordinate measuring machine and output from said sensors.

3. A system for automatically evaluating a part as recited in claim 2, wherein said coordinate measuring machine measures said dimensions by touching the part.

4. A system for automatically evaluating a part as recited in claim 2, wherein said coordinate measuring machine measures said dimensions with optical sensing of the part.

5. A system for automatically evaluating a part as recited in claim 2, wherein said sensors comprise:

a CCD camera;

a touch sensor;

eddy current sensors;

ultrasonic sensors;

flash heating sensors;

infrared sensors; and

surface roughness sensors.

6. A system for automatically evaluating a part as recited in claim 2, wherein said inspecting apparatus further comprises an apparatus for applying a substance to the part prior to inspection.

7. A system for automatically evaluating a part as recited in claim 6, wherein said substance is a fluorescent penetrant to enhance crack visualization.

8. A system for automatically evaluating a part as recited in claim 6, wherein said substance is water to enhance ultrasonic detection.

9. A system for automatically evaluating a part as recited in claim 1, wherein said analyzing apparatus comprises:

a memory for storing measurement post-manufacturing data for classes of parts, inspection data from a previous inspection of the part, and minimum acceptable conditions for the part;

a database of refurbishment processes;

a comparator to compare inspection data and data in said memory; and

a processor that generates refurbishment steps for said part when said comparator indicates that the part can be refurbished.

10. A system for automatically evaluating a part as recited in claim 9, wherein said processor utilizes rules-based logic to convert said inspection data into said refurbishment steps.

11. A system for automatically evaluating a part as recited in claim 9, wherein said minimum acceptable data comprises:

minimum dimensions for the part;

crack size and location data; and

surface roughness data.

13. A system for automatically evaluating a part as recited in claim 1, wherein said analyzing apparatus comprises:

a memory for storing measurement post-manufacturing data for classes of parts, inspection data from a previous inspection of the part, and minimum acceptable conditions for the part;

a database of refurbishment processes;

a comparator to compare inspection data and data in said memory; and

a processor that generates refurbishment steps for said part when said comparator indicates that the part can be refurbished;

wherein said processor utilizes rules-based logic to convert said inspection data into said refurbishment steps, and wherein said minimum acceptable data comprises;

minimum dimensions for the part;

crack size and location data; and

surface roughness data.

15. A method for automatically evaluating a part as recited in claim 14, wherein said locating step is performed by mounted the part in a fixture.

16. A method for automatically evaluating a part as recited in claim 14, wherein said inspecting step comprises the steps of

measuring dimensions of the part;

and

detecting defects and wear in the part.

17. A method for automatically evaluating a part as recited in claim 14, wherein in said registering step comprises comparing the collected data to data for multiple parts to determine an identity of the part.

18. A method for automatically evaluating a part as recited in claim 16, wherein said detecting step comprises at least one of the following steps:

taking images of said part;

applying an eddy current;

applying ultrasonic radiation;

flash heating the part;

applying infrared radiation; and

measuring surface roughness.

19. A method for automatically evaluating a part as recited in claim 14, wherein said analyzing step comprises the further steps of:

comparing said collected data to baseline data to determine if the part meets minimum conditions for refurbishment; and

generating a defect distribution report.

20. A method for automatically evaluating a part as recited in claim 14, wherein said step of recommending a set of repair processes to refurbish the part comprises the steps of converting results from said analyzing step to produce a set of refurbishment actions.

21. A method for automatically evaluating a part as recited in claim 14, wherein said analyzing and recommending steps utilize rules-based logic to convert said collected data into said repair steps.

22. A method for automatically evaluating a part as recited in claim 14, further comprising he steps of storing aging data for the part, and creating condition descriptions for sets of the same type of part.

24. A method for automatically evaluating a part as recited in claim 16, wherein said detecting step comprises at least one of the following steps:

taking images of said part;

applying an eddy current;

applying ultrasonic radiation;

flash heating the part;

applying infrared radiation; and

measuring surface roughness.

25. A method for automatically evaluating a part as recited in claim 23, wherein said analyzing and recommending steps utilize rules-based logic to convert said collected data into said repair steps.

12. A system for automatically evaluating a part comprising:

apparatus inspecting the part and collecting data concerning the part; and

apparatus for analyzing said data to determine if the part can be returned to service and producing a report on the condition and disposition of the part and a recommended set of repair processes to refurbish the part,

said inspecting apparatus comprising;

a coordinate measuring machine to measure the dimensions of the part;

sensors to detect defects in and wear of the part, said sensors comprising at least one of;

a CCD camera, a touch sensor, eddy current sensors, ultrasonic sensors, flash heating sensors, infrared sensors, and surface roughness sensors;

a memory for storing measurement data from said coordinate measuring machine and output from said sensors; and

an apparatus for applying a substance to the part prior to inspection, wherein said substance is one of a fluorescent penetrant to enhance crack visualization, and water to enhance ultrasonic detection.

14. A method for automatically evaluating a part comprising the steps of:

locating a part;

inspecting the part and collecting data concerning the part;

registering the part to determine the identity of the part;

storing said collected data;

analyzing said collected data to determine if the part can be returned to service;

producing a report on the condition and disposition of the part; and

recommending a set of repair steps to refurbish the part if said analyzing step determines that the part can be returned to service.

23. A method for automatically evaluating a part comprising the steps of:

locating a part;

inspecting the part and collecting data concerning the part by measuring dimensions of the part and detecting defects and wear in the part;

registering the part to determine the identity of the part by comparing the collected data to data for multiple parts to determine an identity of the part;

storing said collected data;

analyzing said collected data to determine if the part can be returned to service, said analyzing step comprises the further steps of comparing said collected data to baseline data to determine if the part meets minimum conditions for refurbishment and generating a defect distribution report;

producing a report on the condition and disposition of the part; and

recommending a set of repair steps to refurbish the part if said analyzing step determines that the part can be returned to service, wherein said step of recommending a set of repair processes to refurbish the part comprises the steps of converting results from said analyzing step to produce a set of refurbishment actions and generating a disposition report.