Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system

Michaël Hinderdael; Dieter De Baere; Wim Devesse; Maria Strantza; Patrick Guillaume

Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system

Michaël Hinderdael, Dieter De Baere, Wim Devesse, Maria Strantza, Patrick Guillaume

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

1 Citation (Scopus)

Abstract

A new Structural Health Monitoring system was developed to allow
a faster introduction of 3D printed components into safety critical appli-
cations. Additive manufacturing techniques are used to embed capillaries
in the 3D printed structure that are then pressurized. Continuous moni-
toring of the capillary pressure allows the system to indicate the existence
of a crack when the pressure deviates from the initial pressure level. A
specically developed experimental set-up enables the study of the impact
of dierent parameters on the leak flow behaviour and the occurring Nega-
tive Pressure Waves. Negative Pressure Waves are analysed to demonstrate
the crack localization and crack size estimation feasibility. It will rst be
theoretically proven that the size and location of the crack can be derived
from the Negative Pressure Waves. Secondly, measurements will validate
the crack localization and size estimation feasibility of the new Structural
Health Monitoring system.

Original language	English
Title of host publication	ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
Place of Publication	Colorado
Publisher	ASME
Pages	V002T05A003
Number of pages	9
Volume	2
ISBN (Electronic)	978-0-7918-5730-4
Publication status	Published - 21 Sep 2015
Event	Smart Materials, Adaptive Structures and Intelligent Structures - Colorado Springs, United States Duration: 21 Sep 2015 → 23 Sep 2015

Conference

Conference	Smart Materials, Adaptive Structures and Intelligent Structures
Country/Territory	United States
City	Colorado Springs
Period	21/09/15 → 23/09/15

Keywords

Structural health monitoring
Crack localization
Negative Pressure Waves
3D printed materials
Fatigue damage characterization

Cite this

@inproceedings{ecaed6b23f124d4c942ec13147d9f132,

title = "Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system",

abstract = "A new Structural Health Monitoring system was developed to allowa faster introduction of 3D printed components into safety critical appli-cations. Additive manufacturing techniques are used to embed capillariesin the 3D printed structure that are then pressurized. Continuous moni-toring of the capillary pressure allows the system to indicate the existenceof a crack when the pressure deviates from the initial pressure level. Aspecically developed experimental set-up enables the study of the impactof dierent parameters on the leak flow behaviour and the occurring Nega-tive Pressure Waves. Negative Pressure Waves are analysed to demonstratethe crack localization and crack size estimation feasibility. It will rst betheoretically proven that the size and location of the crack can be derivedfrom the Negative Pressure Waves. Secondly, measurements will validatethe crack localization and size estimation feasibility of the new StructuralHealth Monitoring system.",

keywords = "Structural health monitoring, Crack localization, Negative Pressure Waves, 3D printed materials, Fatigue damage characterization",

author = "Micha{\"e}l Hinderdael and {De Baere}, Dieter and Wim Devesse and Maria Strantza and Patrick Guillaume",

year = "2015",

month = sep,

day = "21",

language = "English",

volume = "2",

pages = "V002T05A003",

booktitle = "ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems",

publisher = "ASME",

note = "Smart Materials, Adaptive Structures and Intelligent Structures ; Conference date: 21-09-2015 Through 23-09-2015",

}

Hinderdael, M , De Baere, D , Devesse, W, Strantza, M & Guillaume, P 2015, Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system. in ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. vol. 2, SMASIS2015-8845, ASME, Colorado, pp. V002T05A003, Smart Materials, Adaptive Structures and Intelligent Structures, Colorado Springs, United States, 21/09/15.

Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system. / Hinderdael, Michaël ; De Baere, Dieter ; Devesse, Wim; Strantza, Maria; Guillaume, Patrick.

ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. Vol. 2 Colorado : ASME, 2015. p. V002T05A003 SMASIS2015-8845.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

TY - GEN

T1 - Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system

AU - Hinderdael, Michaël

AU - De Baere, Dieter

AU - Devesse, Wim

AU - Strantza, Maria

AU - Guillaume, Patrick

PY - 2015/9/21

Y1 - 2015/9/21

N2 - A new Structural Health Monitoring system was developed to allowa faster introduction of 3D printed components into safety critical appli-cations. Additive manufacturing techniques are used to embed capillariesin the 3D printed structure that are then pressurized. Continuous moni-toring of the capillary pressure allows the system to indicate the existenceof a crack when the pressure deviates from the initial pressure level. Aspecically developed experimental set-up enables the study of the impactof dierent parameters on the leak flow behaviour and the occurring Nega-tive Pressure Waves. Negative Pressure Waves are analysed to demonstratethe crack localization and crack size estimation feasibility. It will rst betheoretically proven that the size and location of the crack can be derivedfrom the Negative Pressure Waves. Secondly, measurements will validatethe crack localization and size estimation feasibility of the new StructuralHealth Monitoring system.

AB - A new Structural Health Monitoring system was developed to allowa faster introduction of 3D printed components into safety critical appli-cations. Additive manufacturing techniques are used to embed capillariesin the 3D printed structure that are then pressurized. Continuous moni-toring of the capillary pressure allows the system to indicate the existenceof a crack when the pressure deviates from the initial pressure level. Aspecically developed experimental set-up enables the study of the impactof dierent parameters on the leak flow behaviour and the occurring Nega-tive Pressure Waves. Negative Pressure Waves are analysed to demonstratethe crack localization and crack size estimation feasibility. It will rst betheoretically proven that the size and location of the crack can be derivedfrom the Negative Pressure Waves. Secondly, measurements will validatethe crack localization and size estimation feasibility of the new StructuralHealth Monitoring system.

KW - Structural health monitoring

KW - Crack localization

KW - Negative Pressure Waves

KW - 3D printed materials

KW - Fatigue damage characterization

UR - http://dx.doi.org/10.1115/SMASIS2015-8845

M3 - Conference paper

VL - 2

SP - V002T05A003

BT - ASME 2015 Conference on Smart Materials, Adaptive Structures and Intelligent Systems

PB - ASME

CY - Colorado

T2 - Smart Materials, Adaptive Structures and Intelligent Structures

Y2 - 21 September 2015 through 23 September 2015

ER -

Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system

Abstract

Conference

Keywords

Other files and links

Fingerprint

Development and Validation of Innovative Structural Health Monitoring Methodology

SMASIS 2015 Best Paper Competition Finalist and Best Student Paper SYMP 4 Integrated System Design and Implementation and SYMP 5 Structural Health Monitoring

Cite this

Negative Pressure Waves Analysis for Crack Localization and Crack Size Estimation for 3D Printed SHM system

Abstract

Conference

Keywords

Other files and links

Fingerprint

Research output

Development and Validation of Innovative Structural Health Monitoring Methodology

Prizes

SMASIS 2015 Best Paper Competition Finalist and Best Student Paper SYMP 4 Integrated System Design and Implementation and SYMP 5 Structural Health Monitoring

Cite this