Acoustic Emission Monitoring of Push-Out Testing for Early Microcrack Detection: A Proof-of-Concept on Strut-Structured Surrogate Samples

Conventional push-out tests detect bone–implant failure only at the point of macroscopic instability, leaving earlier damage stages unresolved. Here we present a proof-of-concept for a push-out test stand combined with acoustic emission (AE) monitoring, aimed at capturing crack initiation before the macroscopic load drop. To provide a controlled failure process, samples were fabricated from SLA resin with defined breaking points, serving as mechanical surrogates rather than biological models. Four sample types with varying strut number and thickness were tested while recording AE, and post-processing was applied to remove friction and noise signals. A four-stage fracture model—initial, pre-fracture, fracture, and post-fracture—was defined, with the pre-fracture stage showing AE activity prior to any macroscopic load response. Increasing strut thickness and contact area raised maximum load resistance and AE activity, and Principal Component Analysis confirmed a progressive, intensity-driven separation of stages. The results demonstrate that AE monitoring resolves a pre-fracture regime inaccessible to conventional load measurement, establishing a methodological basis for future application to bone–implant samples.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2026-07-22
DOI
https://doi.org/10.3390/app16147339
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acoustic Emission Monitoring of Push-Out Testing for Early Microcrack Detection: A Proof-of-Concept on Strut-Structured Surrogate Samples

Fabian Müller, Peter Paul Pott, Ute Urban, Roland Lachmayer et al.
Applied Sciences
Bone health and osteoporosis research
article

Acoustic Emission Monitoring of Push-Out Testing for Early Microcrack Detection: A Proof-of-Concept on Strut-Structured Surrogate Samples

Fabian Müller, Peter Paul Pott, Ute Urban, Roland Lachmayer, Michael Schultz, Kianusch Pour Rahimi, Ulrich P. Froriep, Patrik Müller-Reichmann
article en

Abstract

Conventional push-out tests detect bone–implant failure only at the point of macroscopic instability, leaving earlier damage stages unresolved. Here we present a proof-of-concept for a push-out test stand combined with acoustic emission (AE) monitoring, aimed at capturing crack initiation before the macroscopic load drop. To provide a controlled failure process, samples were fabricated from SLA resin with defined breaking points, serving as mechanical surrogates rather than biological models. Four sample types with varying strut number and thickness were tested while recording AE, and post-processing was applied to remove friction and noise signals. A four-stage fracture model—initial, pre-fracture, fracture, and post-fracture—was defined, with the pre-fracture stage showing AE activity prior to any macroscopic load response. Increasing strut thickness and contact area raised maximum load resistance and AE activity, and Principal Component Analysis confirmed a progressive, intensity-driven separation of stages. The results demonstrate that AE monitoring resolves a pre-fracture regime inaccessible to conventional load measurement, establishing a methodological basis for future application to bone–implant samples.

Applied SciencesVol. 16(14)
University of Stuttgart (DE), Leibniz University Hannover (DE), Fraunhofer Institute for Toxicology and Experimental Medicine (DE)
Openalex Percentile: Top 7%
Bone health and osteoporosis research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.