Prof. Dr. Marc Stautner
Institut Maschinenbau
Email:
marc.stautner@hs-ruhrwest.de
Telephone:
+49 208 88254-966
Field of expertise: Digitalisation in Mechanical Engineering
Person
Marc Stautner teaches “Digitalisation in Mechanical Engineering” at Hochschule Ruhr West. Previously, he worked for over 16 years at the software company ModuleWorks GmbH and served as Managing Director of AixPath GmbH. His research focuses on digital manufacturing, particularly in CNC simulation, 3D printing, toolpath optimisation, and collision detection.
In his teaching, he integrates current technologies such as digital twins and IoT methods with practical examples from robotics. Drawing on his industry experience and more than 40 scientific publications, he actively promotes the transfer between research and industrial application. Students benefit from his expertise in digital production and modern manufacturing processes. He is committed to developing innovative, software-based solutions for the factories of the future and preparing mechanical engineering students optimally for the digital working world.
The best way to reach me is by email at marc.stautner@hs-ruhrwest.de.
| Since 2022 | Hochschule Ruhr West Professor of Digitalisation in Mechanical Engineering |
| Since 2017 | AixPath GmbH Managing Director |
| Since 2006 | ModuleWorks GmbH, Aachen Head of Research, responsible for national and international research projects |
| 2000–2006 | TU Dortmund, Institute for Machining Technology, Mechanical Engineering Doctorate Dissertation Title: “Simulation and Optimisation of Multi-Axis Milling” Degree awarded: Dr.-Ing. (Doctor of Engineering) |
| 1992–2000 | TU Dortmund, Computer Science
|
Teaching
- Computer Science
- Automation of Design Processes
- Digitalisation of Production Processes
Theses on topics including Robotics, Additive Manufacturing, WAAM, FDM, Digital Twin, and Industry 4.0
Research and Cooperation
Project “RoboProfiler” – Process Development and Optimisation for the Creation of an Innovative RoboProfiler to Enhance Manufacturing Quality Using Industrial Robots; ZIM Cooperation, in partnership with EXAPT GmbH, Aachen
Marc Stautner conducts research at Hochschule Ruhr West in digital manufacturing, CNC simulation, 3D printing, toolpath optimisation, and collision detection. He develops digital twins and employs IoT methods to intelligently network machines and processes. Using practical examples from robotics, he fosters knowledge transfer between academia and industry and drives digital transformation in mechanical engineering.
[1] Mauthner, G., Stautner, M., Sell, S., Frings, M., Lorenz, A., Plakhotnik, D., Bleicher, F., 2025. Wire-Arc Additive Manufacturing Toolpath Optimization Using a Dexel-Based Temperature Prediction Model, in: Kohl, H., Seliger, G., Dietrich, F., Mur, S. (Eds.), Sustainable Manufacturing as a Driver for Growth. Springer Nature Switzerland, Cham, pp. 730–737.
[2] Sell, S., Villani, K., Stautner, M., 2025. Reducing Delivery Times by Utilising On-Site Wire Arc Additive Manufacturing with Digital-Twin Methods. Computers 14 (6), 221.
[3] Maass, W., Agrawal, A., Ciani, A., Danz, S., Delgadillo, A., Ganser, P., Kienast, P., Kulig, M., König, V., Rodellas-Gràcia, N., Rughubar, R., Schröder, S., Stautner, M., Stein, H., Stollenwerk, T., Zeuch, D., Wilhelm, F.K., 2024. QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing. Künstl Intell 38 (4), 361–370.
[4] Salehi, M., Neo, D.W.K., Rudel, V., Stautner, M., Ganser, P., Zhang, S.X., Seet, H.L., Nai, M.L.S., 2024. Digital manufacturing of personalized magnesium implants through binder jet additive manufacturing and automated post machining. Journal of Magnesium and Alloys 12 (8), 3308–3324.
[5] Beer, T., Stautner, M., Beudaert, X., Gil, M., Dombovari, Z., Plakhotnik, D., 2023. IMPLEMENTING OF PHOTOREALISTIC SURFACE RENDERING IN CAM SIMULATION. MM SJ 2023 (4).
[6] Hansjosten, M., Fleischer, J., Frings, M., Odendahl, S., Stautner, M., 2023. Collision avoidance and adaptive path planning in machine tools by matching live image data with a geometric simulation. Procedia CIRP 118, 151–156.
[7] König, V., Berkhahn, M., Riedelsheimer, T., Plakhotnik, D., Stautner, M., 2022. Biological Transformation in process simulation for enhancing ecological sustainability indicators. Procedia CIRP 110, 53–58.
[8] Plakhotnik, D., Tomcin, R., Hauser, T., Kamps, T., Sammler, C., Langer, M., Stautner, M., 2022. CAM Planning for Automatic Support Removal with Robotic Chiseling. Procedia CIRP 115, 7–12.
[9] Barton, D., Hess, F., Männle, P., Odendahl, S., Stautner, M., Fleischer, J., 2021. Image segmentation and robust edge detection for collision avoidance in machine tools. tm - Technisches Messen 88 (6), 374–385.
[10] Plakhotnik, D., Curutiu, A., Zhulavskyi, A., Beudaert, X., Munoa, J., Stautner, M., 2021. FRAMEWORK FOR COUPLED DIGITAL TWINS IN DIGITAL MACHINING. MM SJ 2021 (5), 5093–5097.
Steffani Sell, Kevin Villani, Tori Dinkelbach