Details
Dr.-Ing. Nicole Mensching
Research Scientist
Departments: Cutting and Mechanical Surface Treatment , Manufacturing Technologies
FZB - Room 0440
Badgasteiner Str. 3
28359 Bremen
Personal data
Research profiles
Manufacturing processes
Mechanical surface treatment
Surface integrity
Additive manufacturing
Academic education with degree
10/2015 – 10/2017 | University of Bremen, Master's degree in "Production Engineering – Mechanical Engineering and Process Engineering" Thesis topic: Influence of contact sequences during deep rolling on the changes in the properties of the surface zone |
10/2011 – 09/2015 | University of Bremen, Bachelor's degree in "Production Engineering – Mechanical Engineering and Process Engineering" Thesis topic: Modeling elasto-plastic material behavior for chip formation simulations of steel materials |
Scientific degrees
02/2022 | Doctorate (Dr.-Ing.) in the field of Production Engineering at the University of Bremen Doctoral thesis topic: Characterization of metallic materials using particle-oriented radiation Supervisor: Prof. Heinzel |
Professional career since graduation
Since 02/2022 | Post-doc research associate in the field of manufacturing processes at the Faculty of Production Engineering at the University of Bremen |
Since 01/2019 | Head of the "Mechanical Surface Treatments" team |
10/2017 - 02/2022 | Research assistant at the Department of Manufacturing Processes, Faculty of Production Engineering, University of Bremen |
Awards
2022 | Leibniz Prize for the best doctoral theses from Leibniz institutes 2023 |
2022 | Paul Riebensahm Award 2023 for the best lecture by a young scientist at the HärtereiKongress |
Latest 10 publications
Dry-Adhesive Microstructures for Material Handling of Additively Manufactured and Deep-Rolled Metal Surfaces with Reference to Mars. Materials. PMC10254522 (11), DOI: 10.3390/ma16114170. OPEN ACCESS
2023.
Charakterisierung metallischer Werkstoffe durch partikel-orientiertes Strahlen. Bremen: Shaker Verlag, 978-3-8440-8636-2.
2022.
Impact of pre-machining on the surface and subsurface characteristics of deep rolled metastable autenitic 18CrNiMo7-6. Procedia CIRP. 108 , 630-635. DOI: 10.1016/j.procir.2022.03.099. OPEN ACCESS
2022.
Particle-oriented peening as method to investigate the material dependent deformation behaviour. Journal of Materials Processing Technology. 289 , 11. DOI: 10.1016/j.jmatprotec.2020.116960.
2021.
Pulsed Mechanical Surface Treatment—An Approach to Combine the Advantages of Shot Peening, Deep Rolling, and Machine Hammer Peening. Journal of Manufacturing and Materials Processing. 5 (3), 18. DOI: 10.3390/jmmp5030098. OPEN ACCESS
2021.
Sequential Processing of Cold Gas Sprayed Alloys by Milling and Deep Rolling. Materials. 14 (13), DOI: 10.3390/ma14133699. OPEN ACCESS
2021.
Experimental Methods to Enable High-Throughput Characterization of New Structural Materials. JOM - Journal of The Minerals, Metals & Materials Society. 73 (11), 3347-3355. DOI: 10.1007/s11837-021-04901-w. OPEN ACCESS
2021.
Characterizing the Local Material Properties of Different Fe-C-Cr-steels by Using Deep Rolled Single Tracks.Materials PMC7663921 (21), 14. DOI: 10.3390/ma13214987. OPEN ACCESS
2020.
Multiscale Material Characterization Based on Single Particle Impact Utilizing Particle-Oriented Peening and Single-Impact Peening. Materials. PMC7079618 (4), 12. DOI: 10.3390/ma13040904. OPEN ACCESS
2020.
Reproducibility of High-Throughput Sample Properties Produced by a High-Temperature Molten Metal Droplet Generator. Metals. 10 (3), 297-308. DOI: 10.3390/met10030297.
2020.