Literature DB >> 27802685

On the development of a magnetoresistive sensor for blade tip timing and blade tip clearance measurement systems.

R Tomassini1, G Rossi1, J-F Brouckaert2.   

Abstract

A simultaneous blade tip timing (BTT) and blade tip clearance (BTC) measurement system enables the determination of turbomachinery blade vibrations and ensures the monitoring of the existing running gaps between the blade tip and the casing. This contactless instrumentation presents several advantages compared to the well-known telemetry system with strain gauges, at the cost of a more complex data processing procedure. The probes used can be optical, capacitive, eddy current as well as microwaves, everyone with its dedicated electronics and many existing different signal processing algorithms. Every company working in this field has developed its own processing method and sensor technology. Hence, repeating the same test with different instrumentations, the answer is often different. Moreover, rarely it is possible to achieve reliability for in-service measurements. Developments are focused on innovative instrumentations and a common standard. This paper focuses on the results achieved using a novel magnetoresistive sensor for simultaneous tip timing and tip clearance measurements. The sensor measurement principle is described. The sensitivity to gap variation is investigated. In terms of measurement of vibrations, experimental investigations were performed at the Air Force Institute of Technology (ITWL, Warsaw, Poland) in a real aeroengine and in the von Karman Institute (VKI) R2 compressor rig. The advantages and limitations of the magnetoresistive probe for turbomachinery testing are highlighted.

Entities:  

Year:  2016        PMID: 27802685     DOI: 10.1063/1.4964858

Source DB:  PubMed          Journal:  Rev Sci Instrum        ISSN: 0034-6748            Impact factor:   1.523


  1 in total

1.  A Blade Defect Diagnosis Method by Fusing Blade Tip Timing and Tip Clearance Information.

Authors:  Ji-Wang Zhang; Lai-Bin Zhang; Li-Xiang Duan
Journal:  Sensors (Basel)       Date:  2018-07-05       Impact factor: 3.576

  1 in total

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