Credits: 5
Schedule: 08.01.2019 - 12.04.2019
Teacher in charge (valid 01.08.2018-31.07.2020):
Esko Niemi (Janne Peuraniemi)
Teaching Period (valid 01.08.2018-31.07.2020):
III-IV (Spring 2018)
Learning Outcomes (valid 01.08.2018-31.07.2020):
After the course the student:
- Knows the basics of main manufacturing methods (cutting methods and sheet metal work), machine tools and their capabilities.
- Knows the basics of cutting, tool wear, tool materials and machinability of materials.
- Is able to interpret manufacturing drawings and create process plans.
- Has some practical machining skills.
- Is able to estimate processing time and generation of costs.
Content (valid 01.08.2018-31.07.2020):
The objective of the course is to deepen the knowledge of manufacturing methods and machine tools acquired during bachelor studies. Main topics:
- Basic cutting theory, tool wear
- Machinability of materials, cutting fluids
- Cutting process planning
- Turning
- Milling
- Drilling
- Grinding
- Other cutting methods
- Sheet metal work
Assessment Methods and Criteria (valid 01.08.2018-31.07.2020):
Lectures, excercises, and examination.
Workload (valid 01.08.2018-31.07.2020):
Lectures 24 h
Laboratory work 24 h
Group assignments 20 h
Self study 66 h
Examination 3 h
Study Material (valid 01.08.2018-31.07.2020):
Fundamentals of Manufacturing, Philip D. Rufe, third edition. E-book in Knovel.
Lecture notes.
Substitutes for Courses (valid 01.08.2018-31.07.2020):
The course can be substituted by:
Kon-15.3342 Machine Tools and Accessories, Kon-15.3151 Practical Work Training with Machine Tools and Kon-15.3135 Sheet Metal Technologies.
Prerequisites (valid 01.08.2018-31.07.2020):
MEC-E1080 Production Engineering or equivalent content.
Grading Scale (valid 01.08.2018-31.07.2020):
0-5. Grading is based on Exam and excercise report.
Registration for Courses (valid 01.08.2018-31.07.2020):
WebOodi.
A maximum of 30 students will be admitted to the course, with precedence given to students of Mechanical Engineering master’s programme, and selection is based on academic performance. At least 4 participants are required in order for the course to be held.
- Teacher: Niemi Esko
- Teacher: Peuraniemi Janne