scispace - formally typeset
V

Vladimir P. Vavilov

Researcher at Tomsk Polytechnic University

Publications -  209
Citations -  2662

Vladimir P. Vavilov is an academic researcher from Tomsk Polytechnic University. The author has contributed to research in topics: Nondestructive testing & Thermography. The author has an hindex of 23, co-authored 192 publications receiving 2206 citations. Previous affiliations of Vladimir P. Vavilov include Tomsk State University.

Papers
More filters
Journal ArticleDOI

Review of pulsed thermal NDT: Physical principles, theory and data processing

TL;DR: In this article, the basics of pulsed thermal nondestructive testing (TNDT) including theoretical solutions, data processing algorithms and practical implementation are discussed along with 1D analytical and multi-dimensional numerical solutions.
Journal ArticleDOI

Quantitative infrared thermography in buildings

TL;DR: In this article, a methodology based on the solution of the inverse heat transfer problem for the detection and evaluation of flaws in buildings is discussed, where the temperature varying in space and time is recorded by a thermographic equipment and each point belonging to the inspected area is analysed quantitatively.
Journal ArticleDOI

Thermal (IR) and Other NDT Techniques for Improved Material Inspection

TL;DR: In this article, the authors provide a concise review of composite NDT using TNDT in combination with other inspection techniques, providing an opportunity for data fusion, especially for composite materials.
Journal ArticleDOI

Crack detection in aluminum parts by using ultrasound-excited infrared thermography

TL;DR: In this article, the authors used ultrasonic-stimulated IR thermography for the inspection of cracks in heavy aluminum structures, where the most important defect detection parameters are the differential temperature signal and signal-to-noise ratio (SNR), which typically reach their maximums at shortly (under 1) after the beginning of the ultrasonic excitation.
Journal ArticleDOI

Surface transient temperature inversion for hidden corrosion characterisation: theory and applications

TL;DR: In this paper, a robust inversion function is proposed and its stability against variations in tested material, heat pulse duration and observation time is analyzed using numerical modelling, having proved the validity of the inversion algorithm with an average accuracy of 17% for material loss ranging from 74 to 14%.