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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Mitchell, A. |
| Copyright Year | 1996 |
| Abstract | The present methods for life prediction in rotating parts rely heavily on an assumed distribution of potential crack initiation sites, corresponding to a distribution of properties which is determined from laboratory testing of samples of the alloy. However, as the expectations of the designer extend into increasing reliable life and also come closer to the limits of alloy performance, we also approach the limits of validity of the statistical methods used in property specification, raising the problem of the rare random defect which may be present in spite of the installed production control methodologies. This type of defect may be found in all alloys, but the specific form depends on the alloy and on the manufacturing method. In this work we give examples for high-strength steels, superalloys and titanium alloys. We propose that the most effective solution to this problem lies in the more vigorous application of process control within manufacturing fixed practices, ensuring the absence of this type of defect through control and data acquisition techniques which can identify a process anomaly and trigger rejection or down-grading of the product. |
| Sponsorship | International Gas Turbine Institute |
| File Format | |
| ISBN | 9780791878767 |
| DOI | 10.1115/96-GT-306 |
| Volume Number | Volume 5: Manufacturing Materials and Metallurgy; Ceramics; Structures and Dynamics; Controls, Diagnostics and Instrumentation; Education; General |
| Conference Proceedings | ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition |
| Language | English |
| Publisher Date | 1996-06-10 |
| Publisher Place | Birmingham, UK |
| Access Restriction | Open |
| Subject Keyword | Data acquisition Process control Alloys Fracture (materials) Steel Superalloys Titanium alloys Quality control Production control Manufacturing Reliability Turbine components Testing |
| Content Type | Text |
| Resource Type | Article |
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