Kianusch Pour Rahimi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Kianusch Pour Rahimi has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Fabian Müller
Biomedical Engineering, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, 30625 Hannover, Germany
2 shared publications - Michael Schultz
Biomedical Engineering, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, 30625 Hannover, Germany
2 shared publications - Patrik Müller-Reichmann
Institute for Product Development IPeG, Leibniz University Hannover, 30823 Garbsen, Germany
2 shared publications - Peter Paul Pott
Institute of Medical Device Technology, University of Stuttgart, Stuttgart, Germany
2 shared publications - Roland Lachmayer
Leibniz Universität Hannover
2 shared publications - Ulrich P. Froriep
Biomedical Engineering, Fraunhofer Institute for Toxicology and Experimental Medicine ITEM, 30625 Hannover, Germany
2 shared publications
Latest Publications
- Open Access
- 22 July 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (14) , 7339
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.
- 22 July 2026
- Published by MDPI AG in Applied Sciences
- Vol. 16 (14) , 7339
Open AccessAcoustic 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.
- Open Access
- 9 June 2026
- Published by MDPI AG in Preprints.org
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 cap-turing crack initiation before macroscopic load drop. To provide a controlled failure pro-cess, 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, plastic, 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 mon-itoring resolves a pre-fracture regime inaccessible to conventional load measurement, es-tablishing a methodological basis for future application to bone-implant samples.
- 9 June 2026
- Published by MDPI AG in Preprints.org
Open AccessAcoustic 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 cap-turing crack initiation before macroscopic load drop. To provide a controlled failure pro-cess, 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, plastic, 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 mon-itoring resolves a pre-fracture regime inaccessible to conventional load measurement, es-tablishing a methodological basis for future application to bone-implant samples.