The tutorial ‘MACH4.0 – Application of Data Analytics in Metal Cutting Manufacturing’ is aimed at Master's students of mechanical engineering and industrial engineering who want to experience data science in production technology in a practical way. The tutorial uses AI to predict the component quality of milled workpieces. Participants will gain a comprehensive insight into data recording during production on machine tools as well as the subsequent data processing and training of machine learning models with Python.
Organizational
| Event-type | Tutorium (Master) |
| Cycle | Summer semester |
| Time frame | 4 Credit Points part-time |
| Language | German – Slides: English |
| Begin | The tutorial starts in the summer semester 2025 on Monday, 07 April 2025. |
| Dates |
Total period: Mon, 07 April to Wed, 28 May 2025 (part-time) Lecture: Mon, 07 April to Wed, 16 April 2025 (Mon – Wed 08:30 – 11:30) Exercises: Mon, 07 April to Wed, 16 April 2025 (Mon – Wed 13:00 – 16:00) Data Challenge: Thu, 17 April to Fri, 16 May 2025 (free group work) Examination period: Wed, 21 May to Wed, 28 May 2025 (final presentation) |
| Lecturer |
Willi Wünschel M.Sc. Lucas Gräff M.Sc. |
| Room | L1|17 108 |
| Notes |
A weekly consultation hour will take place during the project work/data challenge. Microsoft Teams will be used for this. |
Registration
| Registration period | 01.02.2025 to 31.03.2025 |
| Registration process |
Participation in the tutorial is only possible if you have registered in time via e-mail with Lucas Gräff M.Sc.or Willi Wünschel M.Sc. You should only register for the course and the examination in TUCaN once you have received a confirmation email from the department. If you only register via TUCaN and are not registered at the department, your registration will be considered invalid and will be removed from the TUCaN registration. If there are more registrations than the maximum number of participants, a selection will be made with regard to the order of registration. |
| Participant numbers | Maximum 20 |
Exam
| Examination notes |
The examination for the tutorial ‘MACH4.0 – Application of Data Analytics in Metal Cutting Manufacturing’ consists of two practical examinations, which are completed during the tutorial. This is followed by a personal reflection and a final presentation of the project work carried out. Examination performance: 30 % – Exercises on the topics of data processing and machine learning (individual assessment; period: 07.04. -16.04.2025) 60 % – Execution of a project work/ data challenge in small groups (evaluation of group performance; period: 17.04. – 16.05.2025) 10 % – Personal reflection on the project work (individual assessment; period: 17.05. – 20.05.2025) opt. Grade bonus - Above-average presentation of results (individual assessment; period: 21.05. – 28.05.2025) |
| Announcement of notes | The grades will be announced via TUCaN (opens in new tab). |
Content
| Aims |
The aim of the MACH4.0 tutorial is to apply modern data science methods in a practical way to analyse production data on machine tools as part of a project. To this end, the requirements for the automation and networking of machine tools in the context of Industry 4.0 are taught and linked with a profound understanding of processes and specific domain knowledge from machining. The detection of quality-determining process deviations serves as a practical use case.
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| Contents |
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Contact
| Name | Working area(s) | Contact | |
|---|---|---|---|
| Willi Wünschel M.Sc. Research Lead TEC | Manufacturing Technology | W.Wuenschel@PTW.TU-Darmstadt.de +49 6151 8229-639 L1|01 26 | |
| Lucas Gräff M.Sc. TEC | Manufacturing Technology | L.Graeff@PTW.TU-Darmstadt.de +49 6151 8229-621 L1|01 26 |