Department Product Engineering

Organisational unit: Departments and Institutes

Research output

  1. 2023
  2. E-pub ahead of print

    Wear simulation in lubricated contacts considering wear-dependent surface topography changes

    Maier, M., Pusterhofer, M. & Grün, F., 18 Feb 2023, (E-pub ahead of print) In: Materials Today: Proceedings. 93.2023, 4, p. 563-570 8 p.

    Research output: Contribution to journalArticleResearchpeer-review

  3. Published

    On the Wear Behavior of Bush Drive Chains: Part I—Characterization of Engine Damage Processes and Development of a Model Test Setup for Pin Wear

    Summer, F., Bergmann, P. & Grün, F., 16 Feb 2023, In: Lubricants. 11.2023, 2, 20 p., 85.

    Research output: Contribution to journalArticleResearchpeer-review

  4. Published

    Study of Local Fatigue Methods (TCD, N-SIF, and ESED) on Notches and Defects Related to Numerical Efficiency

    Stoschka, M., Horvath, M., Fladischer, S. & Oberreiter, M., 9 Feb 2023, In: Applied Sciences (Switzerland). 13.2023, 4, 41 p., 2247.

    Research output: Contribution to journalArticleResearchpeer-review

  5. Published

    Scanning inductive pulse phase thermography with changing scanning speed for non-destructive testing

    Tuschl, C., Oswald-Tranta, B., Agathocleous, T. & Eck, S., 2 Feb 2023, In: Quantitative InfraRed Thermography Journal. 21.2024, 3, p. 156-171 16 p.

    Research output: Contribution to journalArticleResearchpeer-review

  6. Published

    A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

    Keshavarz, S., Vita, P., Rückert, E., Ortner, R. & Thonhauser, G., 19 Jan 2023, SPE AI Symposium 2023: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry. (Society of Petroleum Engineers - SPE Symposium: Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, AIS 2023).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  7. Published

    Prediction of Friction Power via Machine Learning of Acoustic Emissions from a Ring-on-Disc Rotary Tribometer

    Strablegg, C., Summer, F., Renhart, P. & Grün, F., 19 Jan 2023, In: Lubricants. 11.2023, 2, 17 p., 37.

    Research output: Contribution to journalArticleResearchpeer-review

  8. Published

    Detecting Anomalous Multivariate Time-Series via Hybrid Machine Learning

    Terbuch, A., O'Leary, P., Khalilimotlaghkasmaei, N., Auer, P., Zöhrer, A. & Winter, V., 12 Jan 2023, In: IEEE transactions on instrumentation and measurement. 72.2023, 13 p., 2503711.

    Research output: Contribution to journalArticleResearchpeer-review

  9. Published

    The Key Role of Laser Ultrasonics in the Context of Sustainable Production in an I 4.0 Value Chain

    Hartl, K., Sorger, M. & Stockinger, M., 4 Jan 2023, In: Applied Sciences : open access journal. 13.2023, 2, 22 p., 733.

    Research output: Contribution to journalReview articlepeer-review

  10. Published

    Modeling of Fatigue Crack Growth: Dislocation Models

    Pippan, R. & Hohenwarter, A., 1 Jan 2023, Comprehensive Structural Integrity. Elsevier, p. V4-56-V4-70

    Research output: Chapter in Book/Report/Conference proceedingChapterResearch

  11. Published