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    <publishedYear>2016</publishedYear>
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    <language>eng</language>
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    <issue>4</issue>
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    <title language="eng">Detection of Delamination Damages in Thin Composite Plates using Noncontact Measurement of Structural Dynamic Behavior</title>
    <parentTitle language="eng">Athens Journal of Technology &amp; Engineering</parentTitle>
    <identifier type="doi">10.30958/AJTE.3-4-3</identifier>
    <author>Christian Pongratz</author>
    <author>Matthias Schlamp</author>
    <author>Bastian Jungbauer</author>
    <author>Ingo Ehrlich</author>
    <author>P. Petratos</author>
    <author>N. Mourtos</author>
    <collection role="ddc" number="620">Ingenieurwissenschaften und zugeordnete Tätigkeiten</collection>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="ehrlichlft">Ehrlich, Ingo (Prof. Dr.) - Labor Faserverbundtechnik</collection>
    <collection role="persons" number="tcnehno">Technologie-Campus Neustadt a. d. Donau (Prof. Ehrlich+ Prof. Nonn)</collection>
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    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <issue/>
    <volume>249</volume>
    <type>article</type>
    <publisherName>Elsevier</publisherName>
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    <title language="eng">Anisotropic effects on crack propagation in pressurized line pipes under running ductile fracture scenarios</title>
    <abstract language="eng">The current analyses present results of running ductile fracture propagation in high strength X100 line pipe steels under the influence of anisotropy. Mechanical anisotropy is commonly available in pipe products as a result of the manufacturing process, especially, those subjected to hot/cold-worked deformation. The outcomes of the present analyses show that its effect on the behavior of running ductile fracture in cracked pipes undergoing depressurization is meaningful. For instance, the Crack-Tip Opening Angle (CTOA) not only exhibits a strong dependence to the pipe's diameter size, but also to the material's anisotropy nature when compared to a hypothetical isotropic material. Moreover, laboratory scale tests such as those performed on Battelle Drop Weight Tear (BDWT) samples provide useful information about initiation of ductile crack propagation when the anisotropy features are taken into account in the material description.</abstract>
    <parentTitle language="eng">Engineering fracture mechanics</parentTitle>
    <identifier type="doi">10.1016/j.engfracmech.2021.107748</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Lufeng Xue</author>
    <author>Vincent Keim</author>
    <author>Marcelo Paredes</author>
    <author>Aida Nonn</author>
    <author>Tomasz Wierzbicki</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>BEHAVIOR</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fracture anisotropy</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>INITIATION</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>MODEL</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Non-associated flow rule</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>PREDICTION</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rate dependent MMC Model</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Running ductile fracture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>STATE</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>STEEL</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>STRAIN-RATE</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>TOUGHNESS</value>
    </subject>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="nonncmm">Nonn, Aida (Prof. Dr.) - Computational Mechanics and Materials Lab</collection>
    <collection role="persons" number="tcnehno">Technologie-Campus Neustadt a. d. Donau (Prof. Ehrlich+ Prof. Nonn)</collection>
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  <doc>
    <id>7038</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
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    <completedDate>2024-02-19</completedDate>
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    <title language="eng">Method and System for Evaluating a Structural Integrity of an Aerial Vehicle</title>
    <enrichment key="PatentNr">US 11,835,425 B2</enrichment>
    <enrichment key="PatentLand">Vereinigten Staaten von Amerika</enrichment>
    <enrichment key="PatentYear">2020</enrichment>
    <enrichment key="PatentDate">04.06.2020</enrichment>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Florian Olbrich</author>
    <author>Christian Pongratz</author>
    <author>Rudolf Bierl</author>
    <author>Ingo Ehrlich</author>
    <collection role="institutes" number="FakANK">Fakultät Angewandte Natur- und Kulturwissenschaften</collection>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="ehrlichlft">Ehrlich, Ingo (Prof. Dr.) - Labor Faserverbundtechnik</collection>
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    <collection role="persons" number="bierlsappz">Bierl, Rudolf (Prof. Dr.) - Sensorik-ApplikationsZentrum</collection>
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  </doc>
  <doc>
    <id>7804</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <creatingCorporation>Society of Petroleum Engineers</creatingCorporation>
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    <title language="eng">Validated Multiphysics Modeling For Advanced Pipeline Integrity Management</title>
    <abstract language="eng">The aim of this paper is to present practical steps for utilizing a validated multiphysics approach for fracture control in CO2 pipelines within the framework of Carbon Capture Transport and Storage (CCTS). Ensuring the arrest of running ductile fracture (RDF) is a crucial safety requirement for the transportation of dense-phase CO2. However, current standards rely on outdated and restrictive methods, imposing severe limitations on pipeline material and structural design. As a result, projects that fall outside these standards face the need for extremely costly tests, often leading to delays or cancellations of CCTS initiatives.&#13;
This study introduces an advanced, validated, fully-coupled fluid-structure interaction (FSI) model designed to accurately predict fracture propagation in CO2 pipelines. A key advantage of this approach is its use of robust and reproducible calibration and validation procedures combined with high-quality material characterization data. The full coupling of structural, fluid, and backfill models is essential for obtaining precise results, not only in determining arrest occurrence but also in analyzing properties such as fracture velocity history, 3D pressure distributions behind the propagating crack, wall thinning, and crack tip opening angle. The FSI model has demonstrated its value as a cost-effective tool for safety assessments, enabling the development of fracture control plans that specify minimum required material properties and fluid compositions for optimized pipeline design, both onshore and offshore. Additionally, performing virtual studies with the parameterized FSI model enables the generation of synthetic data for training and validating a machine learning surrogate model. This surrogate model can be integrated into industrial practices, facilitating the application of multiphysics modeling without the need for extensive expertise.</abstract>
    <parentTitle language="eng">ADIPEC, November 4–7, 2024, Abu Dhabi, UAE</parentTitle>
    <identifier type="doi">10.2118/222279-MS</identifier>
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    <licence>Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG</licence>
    <author>Aida Nonn</author>
    <author>P. Marx</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="nonncmm">Nonn, Aida (Prof. Dr.) - Computational Mechanics and Materials Lab</collection>
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    <id>3386</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
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    <title language="eng">The effect of curvature on the low-velocity impact resistance of CF/PEEK laminates</title>
    <parentTitle language="eng">30 Years IVW Anniversary Colloquium, Leibnitz-Institut für Verbundwerkstoffe Kaiserslautern, 2021</parentTitle>
    <enrichment key="opus.import.date">2022-04-08T07:23:56+00:00</enrichment>
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    <author>Florian Schimmer</author>
    <author>Jakob Gebhardt</author>
    <author>N. Motsch-Eichmann</author>
    <author>Joachim M. Hausmann</author>
    <author>Ingo Ehrlich</author>
    <collection role="institutes" number="FAKMB">Fakultät Maschinenbau</collection>
    <collection role="institutes" number="TCNeustadt">Technologie-Campus Neustadt an der Donau</collection>
    <collection role="persons" number="ehrlichlft">Ehrlich, Ingo (Prof. Dr.) - Labor Faserverbundtechnik</collection>
    <collection role="persons" number="tcnehno">Technologie-Campus Neustadt a. d. Donau (Prof. Ehrlich+ Prof. Nonn)</collection>
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    <id>8761</id>
    <completedYear/>
    <publishedYear>2026</publishedYear>
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    <language>eng</language>
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    <pageLast/>
    <pageNumber>20</pageNumber>
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    <type>article</type>
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    <title language="eng">Development of a continuous fiber-reinforced 3D printing process with a 6-axis robot arm: Process design and equipment</title>
    <abstract language="eng">The utilisation of 3D printing processes in the fabrication of continuous fiber-reinforced composites confers a multitude of advantages, in particular flexible design based on structural requirements. In order to achieve greater flexibility, there is a necessity for 3D printing systems that allow for customisable material selection and fiber positioning. This paper presents the design of a robot-based 3D printing system that incorporates an in-situ impregnation line and flexibility regarding the machine code generation for fiber positioning. The development of the system enabled the attainment of an average fiber volume content of up to 37.12%. In the tensile tests, material characteristics up to E1 = 24.7 GPa and strength of up to RM1 = 0.51 GPa were determined.</abstract>
    <parentTitle language="eng">The International Journal of Advanced Manufacturing Technology</parentTitle>
    <identifier type="issn">0268-3768</identifier>
    <identifier type="doi">10.1007/s00170-025-17263-3</identifier>
    <note>Corresponding author der OTH Regensburg: Anna Afanasev</note>
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    <title language="eng">Toward an Efficient and Robust Process–Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures</title>
    <abstract language="eng">Additive manufacturing (AM), particularly laser powder bed fusion (L-PBF), provides unmatched design flexibility for creating intricate steel structures with minimal post-processing. However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process–structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components.</abstract>
    <parentTitle language="eng">Metals</parentTitle>
    <identifier type="issn">2075-4701</identifier>
    <identifier type="doi">10.3390/met15070812</identifier>
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However, adopting L-PBF for high-performance applications is difficult due to the challenge of predicting microstructure evolution. This is because the process is sensitive to many parameters and has a complex thermal history. Thin-walled geometries present an added challenge because their dimensions often approach the scale of individual grains. Thus, microstructure becomes a critical factor in the overall integrity of the component. This study focuses on applying cellular automata (CA) modeling to establish robust and efficient process\u2013structure relationships in L-PBF of 316L stainless steel. The CA framework simulates solidification-driven grain evolution and texture development across various processing conditions. Model predictions are evaluated against experimental electron backscatter diffraction (EBSD) data, with additional quantitative comparisons based on texture and morphology metrics. The results demonstrate that CA simulations calibrated with relevant process parameters can effectively reproduce key microstructural features, including grain size distributions, aspect ratios, and texture components, observed in thin-walled L-PBF structures. This work highlights the strengths and limitations of CA-based modeling and supports its role in reliably designing and optimizing complex L-PBF components.&lt;\/jats:p&gt;","DOI":"10.3390\/met15070812","type":"journal-article","created":{"date-parts":[[2025,7,21]],"date-time":"2025-07-21T10:35:31Z","timestamp":1753094131000},"page":"812","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Toward an Efficient and Robust Process\u2013Structure Prediction Framework for Filigree L-PBF 316L Stainless Steel Structures"],"prefix":"10.3390","volume":"15","author":[{"given":"Yu","family":"Qiao","sequence":"first","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5671-2897","authenticated-orcid":false,"given":"Marius","family":"Grad","sequence":"additional","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1522-224X","authenticated-orcid":false,"given":"Aida","family":"Nonn","sequence":"additional","affiliation":[{"name":"Computational Mechanics and Materials Lab, Faculty of Mechanical Engineering, OTH Regensburg, Galgenbergstra\u00dfe 30, 93053 Regensburg, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2025,7,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.jmapro.2021.12.064","article-title":"Process parameter selection and optimization of laser powder bed fusion for 316L stainless steel: A review","volume":"75","author":"Ahmed","year":"2022","journal-title":"J. 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