@misc{52624, author = {{Schulenkorf, Steffen}}, title = {{{Materialqualifizierung und Nachhaltigkeitsanalyse eines biobasierten Polyamid 11-Pulvers für das selektive Lasersintern}}}, year = {{2023}}, } @misc{52626, author = {{Bürckner, Lorena Marie}}, title = {{{Entwicklung eines Verfahrens zur Probeentnahme aus einem Pulverkuchen im SLS-Prozess}}}, year = {{2023}}, } @misc{52625, author = {{Engemann, Julian}}, title = {{{Studie zum Auftragsverhalten von SLS-Pulvern in Abhängigkeit ihrer Fließfähigkeit}}}, year = {{2023}}, } @misc{51663, author = {{Hormatallah, Mouhssine and Ponusamy, SathishKumar}}, title = {{{Untersuchungen zum Einfluss der Pulverkonzentration auf den dynamischenmechanischen Partikelverrundungsprozess (Studienarbeit)}}}, year = {{2023}}, } @misc{51661, author = {{Tappe, Daniel and Ponusamy, SathishKumar}}, title = {{{Leistungsbedarf beim dynamisch - mechanischen Partikelverrundungsprozess (Studienarbeit)}}}, year = {{2023}}, } @phdthesis{52649, author = {{Penner, Eduard}}, publisher = {{Shaker Verlag}}, title = {{{Polymorphic uncertainty in constitutive modeling of polymer composites at different scales}}}, doi = {{10.2370/9783844093322}}, year = {{2023}}, } @inbook{52656, author = {{Thielen, Stefan and Antonyuk, Sergiy and Aurich, Jan C. and Beck, Tilmann and Hasse, Hans and Kopnarski, Michael and Magyar, Balázs and Sauer, Bernd and Smaga, Marek}}, booktitle = {{Component Surfaces}}, isbn = {{9783031355745}}, issn = {{1860-5168}}, publisher = {{Springer International Publishing}}, title = {{{Manufacturing-Morphology-Property Relationships for Rotating Shaft Sealing Systems}}}, doi = {{10.1007/978-3-031-35575-2_14}}, year = {{2023}}, } @article{52657, abstract = {{Lubricants play a central role in many technical applications, e.g. in bearings and gears as well as in machining processes. In such applications, lubricants are exposed to extreme conditions in the contact area. In lubrication gaps, the pressure can reach values up to 5 GPa. The thermophysical properties of lubricants, and in particular the viscosity, at such extreme conditions have an important influence on the friction and wear behavior of a tribosystem. Accordingly, reliable lubricant property models are a prerequisite for accurate tribological simulations, e.g. elastohydrodynamic lubrication (EHL) simulations. Presently, the vast majority of experimental thermophysical property data are only available up to 1 GPa. Thus, reliable and robust models with strong extrapolation capabilities to higher pressure are required. In this work, viscosity measurements of squalane in a temperature range be tween 20 °C and 100 °C and pressures up to 1 GPa were carried out. Based on that data, a physical model for the viscosity was developed. The model is built by combining a molecular-based equation of state with the so-called entropy scaling approach. Finally, we demonstrate how this fluid property model can be favorably integrated in an EHL simulation by an application programming interface (API). The novel hybrid modeling approach is promising for future applications.}}, author = {{Wingertszahn, Patrick and Schmitt, Sebastian and Thielen, Stefan and Oehler, Manuel and Magyar, Balázs and Koch, Oliver and Hasse, Hans and Stephan, Simon}}, issn = {{0724-3472}}, journal = {{Tribologie und Schmierungstechnik}}, keywords = {{Surfaces, Coatings and Films, Surfaces and Interfaces, Mechanical Engineering, Mechanics of Materials}}, number = {{4-5}}, pages = {{5--12}}, publisher = {{Narr Francke Attempto Verlag GmbH + Co. KG}}, title = {{{Measurement, Modelling, and Appli cation of Lubricant Properties at Extreme Pressures}}}, doi = {{10.24053/tus-2023-0017}}, volume = {{70}}, year = {{2023}}, } @inbook{52662, abstract = {{Static analysis tools support developers in detecting potential coding issues, such as bugs or vulnerabilities. Research emphasizes technical challenges of such tools but also mentions severe usability shortcomings. These shortcomings hinder the adoption of static analysis tools, and user dissatisfaction may even lead to tool abandonment. To comprehensively assess the state of the art, we present the first systematic usability evaluation of a wide range of static analysis tools. We derived a set of 36 relevant criteria from the literature and used them to evaluate a total of 46 static analysis tools complying with our inclusion and exclusion criteria - a representative set of mainly non-proprietary tools. The evaluation against the usability criteria in a multiple-raters approach shows that two thirds of the considered tools off er poor warning messages, while about three-quarters provide hardly any fix support. Furthermore, the integration of user knowledge is strongly neglected, which could be used for instance, to improve handling of false positives. Finally, issues regarding workflow integration and specialized user interfaces are revealed. These findings should prove useful in guiding and focusing further research and development in user experience for static code analyses.}}, author = {{Nachtigall, Marcus and Schlichtig, Michael and Bodden, Eric}}, booktitle = {{Software Engineering 2023}}, isbn = {{978-3-88579-726-5}}, keywords = {{Automated static analysis, Software usability}}, pages = {{95–96}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Evaluation of Usability Criteria Addressed by Static Analysis Tools on a Large Scale}}}, year = {{2023}}, } @inbook{52660, abstract = {{Application Programming Interfaces (APIs) are the primary mechanism developers use to obtain access to third-party algorithms and services. Unfortunately, APIs can be misused, which can have catastrophic consequences, especially if the APIs provide security-critical functionalities like cryptography. Understanding what API misuses are, and how they are caused, is important to prevent them, eg, with API misuse detectors. However, definitions for API misuses and related terms in literature vary. This paper presents a systematic literature review to clarify these terms and introduces FUM, a novel Framework for API Usage constraint and Misuse classification. The literature review revealed that API misuses are violations of API usage constraints. To address this, we provide unified definitions and use them to derive FUM. To assess the extent to which FUM aids in determining and guiding the improvement of an API misuses detector’s capabilities, we performed a case study on the state-of the-art misuse detection tool CogniCrypt. The study showed that FUM can be used to properly assess CogniCrypt’s capabilities, identify weaknesses and assist in deriving mitigations and improvements.}}, author = {{Schlichtig, Michael and Sassalla, Steffen and Narasimhan, Krishna and Bodden, Eric}}, booktitle = {{Software Engineering 2023}}, isbn = {{978-3-88579-726-5}}, keywords = {{API misuses API usage constraints, classification framework, API misuse detection, static analysis}}, pages = {{105–106}}, publisher = {{Gesellschaft für Informatik e.V.}}, title = {{{Introducing FUM: A Framework for API Usage Constraint and Misuse Classification}}}, year = {{2023}}, }