Research Papers

Quality and Inspection of Machining Operations: CMM Integration to the Machine Tool

[+] Author and Article Information
Laine Mears, Thomas Kurfess

 Clemson University, Clemson, SC 29634

John T. Roth

 Penn State Erie, Erie, PA 16563

Dragan Djurdjanovic

 University of Texas, Austin, TX 78713

Xiaoping Yang

 Cummins Inc., Columbus, IN 47202

J. Manuf. Sci. Eng 131(5), 051006 (Sep 08, 2009) (13 pages) doi:10.1115/1.3184085 History: Received April 01, 2008; Revised May 29, 2009; Published September 08, 2009

Dimensional measurement feedback in manufacturing systems is critical in order to consistently produce quality parts. Considering this, methods and techniques by which to accomplish this feedback have been the focus of numerous studies in recent years. Moreover, with the rapid advances in computing technology, the complexity and computational overhead that can be feasibly incorporated in any developed technique have dramatically improved. Thus, techniques that would have been impractical for implementation just a few years ago can now be realistically applied. This rapid growth has resulted in a wealth of new capabilities for improving part and process quality and reliability. In this paper, overviews of recent advances that apply to machining are presented. More specifically, research publications pertaining to the use of coordinate measurement machines to improve the machining process are discussed.

Copyright © 2009 by American Society of Mechanical Engineers
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Figure 1

Framework of research in measurement integration to machining. System integration issues between measurement and machining include functional and communication interoperability, as well as efficient planning for obtaining measurement data and its use in enhancing machine control.

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Figure 2

Self-centering probe for rapid machine tool characterization (35)

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Figure 3

CMM predicted dynamic error used in compensation (56)

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Figure 4

Inspection path planning. The number of points, their location, and the inspection path are planned to minimize inspection time while maintaining acceptable accuracy (48).

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Figure 5

Measurement error caused by machining cusp (46)

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Figure 6

Information flowchart of autonomous coordinate measuring planning (ACMP) system (57)

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Figure 7

Iterative error measurement and compensation system (63)

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Figure 8

Machined part error: geometry, force, thermal, and wear sources (63)

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Figure 9

Workflow for rapid on-machine probe calibration (30)

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Figure 10

Machine measurement and compensation using FCS (77)

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Figure 11

Simulation of CMM integration to flexible machining line (102)

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Figure 12

Virtual machining and measurement cell architecture (103). (a) Traditional development is time-consuming and expensive due to physical prototype iterations; (b) VMMC addresses optimization analytically to save time and cost.

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Figure 13

Virtual measuring process of VMMC. Part measurement is simulated and the results are used to optimize the inspection efficiency.



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