Fundamentals of machine tools

Faculty

Faculty of Engineering and Computer Science

Version

Version 1 of 26.02.2026.

Module identifier

11B0456

Module level

Bachelor

Language of instruction

German

ECTS credit points and grading

5.0

Module frequency

only summer term

Duration

1 semester

 

 

Brief description

Machine tools are among the most important means of production in the manufacturing industry and form the basis for rationalization, production development and quality improvement in all areas. A profound understanding of manufacturing processes requires a sound knowledge of the influencing behavior of the corresponding machine tools. For machine tools of the two basic manufacturing principles - imaging and controlled forming - the various machine concepts and their components are presented and calculation and analysis methods for determining machine behavior and costs are taught. Considerations necessary for the selection and/or design of suitable machines, including the control systems, are essential for production engineering training.

Overall workload

The total workload for the module is 150 hours (see also "ECTS credit points and grading").

Teaching and learning methods
Lecturer based learning
Workload hoursType of teachingMedia implementationConcretization
45LecturePresence-
15Laboratory activity-
Lecturer independent learning
Workload hoursType of teachingMedia implementationConcretization
90Preparation/follow-up for course work-
Graded examination
  • Written examination
Ungraded exam
  • Field work / Experimental work
Exam duration and scope

Graded examination:

  • Written exam: see applicable study regulations

Ungraded examination:

  • Experimental work: approx. 3 to 5 experimental tasks

Recommended prior knowledge

Fundamentals of Production Engineering, Advanced Mathematics, Mathematics for Mechanical Engineering, Control Engineering, Windows Applications

Knowledge Broadening

Students recognize the interrelationships in the tool/machine/workpiece system, analyse the interaction between input variables, system parameters and technological parameters and assess the interdependencies of the individual machine tool components for design optimization with maximum economic efficiency of the overall investment.

Knowledge Understanding

Students can evaluate the influence of different parameters on tools and their systems.

Literature

Weck, M.: Werkzeugmaschinen 1-Maschinenarten und Anwendungsbereiche-5. Auflage, Springer Verlag, Berlin 1998

Weck, M.: Werkzeugmaschinen 2 -Konstruktion und Berechnung- 6. Auflage, Springer Verlag, Berlin 1997

Weck, M.: Werkzeugmaschinen 3 -Automatisierung und Steuerungstechnik- 4. Auflage, Springer Verlag, Berlin 1995

Milberg, J.: Werkzeugmaschinen -Grundlagen, Springer Verlag, Berlin, 1999 Conrad, K.-J., u.a.: Taschenbuch der Werkzeugmaschinen, Fachbuchverlag, Leipzig, 2002

Applicability in study programs

  • Mechanical Engineering (Bachelor)
    • Mechanical Engineering B.Sc. (01.09.2025)

  • Mechanical Engineering in Practical Networks
    • Mechanical Engineering in Practical Networks B.Sc. (01.03.2026)

  • Automotive Engineering (Bachelor)
    • Automotive Engineering B.Sc. (01.09.2025)

    Person responsible for the module
    • Sachnik, Peter
    Teachers
    • Sachnik, Peter