Location

Williamsburg, VA

Start Date

1-1-1986 12:00 AM

Description

The in-process measurement of the internal temperature distribution is an important step toward improved processing of steels. A promising approach is the measurement of ultrasonic velocity, combined with a priori information on heat flow. Reference data on ultrasonic velocity versus temperature have been obtained for austenitic 304 stainless steel and for ferritic AISI 1018 steel. For stainless steel the longitudinal-wave velocity is nearly linear with temperature, with a proportionality constant of about -0.7 meters per second per degree Kelvin. In this paper we review the technical approach being used to ultrasonically determine internal temperature distribution. For this we (1) map the average velocity (hence average temperature) within hot steel samples (using a pulsed-laser driver and an electromagnetic acoustic transducer (EMAT) receiver) and (2) apply a reconstruction model that is based on ultrasonic tomography and utilizes the equations of heat flow.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

5A

Chapter

Chapter 3: Sensors and Signal Processing

Section

Sensors

Pages

643-650

DOI

10.1007/978-1-4615-7763-8_66

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Ultrasonic Sensors to Measure Internal Temperature Distribution

Williamsburg, VA

The in-process measurement of the internal temperature distribution is an important step toward improved processing of steels. A promising approach is the measurement of ultrasonic velocity, combined with a priori information on heat flow. Reference data on ultrasonic velocity versus temperature have been obtained for austenitic 304 stainless steel and for ferritic AISI 1018 steel. For stainless steel the longitudinal-wave velocity is nearly linear with temperature, with a proportionality constant of about -0.7 meters per second per degree Kelvin. In this paper we review the technical approach being used to ultrasonically determine internal temperature distribution. For this we (1) map the average velocity (hence average temperature) within hot steel samples (using a pulsed-laser driver and an electromagnetic acoustic transducer (EMAT) receiver) and (2) apply a reconstruction model that is based on ultrasonic tomography and utilizes the equations of heat flow.