CAD/CAM and Additive Manufacturing (MSK550)

The course aims to provide fundamental understanding in principles and applications of computer-assisted technologies in the mechanical engineering discipline. It starts with the mathematical description of geometric modelling techniques and covers the important activities and processes in a product's life cycle such as CAD/CAM software, optimization, additive manufacturing, modelling mechanical systems, multibody dynamics analysis, principles of flexible manufacturing systems, concepts of concurrent engineering, reverse engineering and virtual manufacturing, process control, Computer numerical control (CNC), machines programming, interoduction to automation in Manufacturing systems


Course description for study year 2022-2023

Facts

Course code

MSK550

Version

1

Credits (ECTS)

10

Semester tution start

Autumn

Number of semesters

1

Exam semester

Autumn

Language of instruction

English

Offered by
Time table

View course schedule

Content

Introduction to computer-aided technologies in engineering field, principles of geometric modeling, mathematical basics for product models, examples in using advanced CAD/CAM software, generating 3D-CAD (volume) models for free-form objects, rapid prototyping and additive manufacturing (layer manufacturing) technology, design for additive manufacturing and topology optimization. exchange of design data. Reverse engineering and virtual manufacturing. Design optimization, automation and control of industrial processes. Modelling and analysis of mechanisms and multibody dynamics, Computer numerical control (CNC) machines programming (MAZATROL),  computer aided process planning (CAPP), group technology (GT) and cellular manufacturing. Introduction to Coordinate measuring machine (CMM).

Learning outcome

Upon attending this course, the student is expected to have
  • the overview of main computer-aided tools in mechanical engineering
  • knowledge about the mathematical basics of different geometric modeling techniques
  • advanced understanding of concepts within design, manufacturing, optimization, automation, mechanical system modelling and additive manufacturing
  • general understanding of the interaction between CAE tools in design and manufacturing
  • sufficient skills in using 3D modeling tools, exchange of design and manufacturing data and rapid prototyping tools
  • knowledge about CAPP and related algorithms
  • general understanding about CNC systems and different programming techniques
  • knowledge about application of CAE concepts within the context of discrete type manufacturing (e.g. car) and continuous type production (e.g. Oil and Gas)
  • knowledge about design optimization and competence in using optimization tool boxes for example, in MATLAB. 

Required prerequisite knowledge

None

Recommended prerequisites

Basic knowledge in machine design, computer-aided design and manufacturing (CAD/CAM), production and manufacturing engineering and applied mathematics. Competence in MATLAB programming is an advantage.

Exam

Project work and written exam

Form of assessment Weight Duration Marks Aid
Project work 4/10 Letter grades
Written exam 6/10 4 Hours Letter grades Valid calculator

The evaluation has two parts: digital written exam 4 hours and project work. Written exam is weighted 6/10 and project work 4/10 of the total grade.  The project work is conducted within a period of 6 weeks and presented to the class by the end of the semester. If a student cannot submit the project report within the given deadline, the prosject garde of the student will be marked F unless there is a legal reason for extended submission. A student who has got F in the project work can take new project title next time the course is delivered or in the following semester if agreed with the course instructor.Both the written exam and project work must be passed to obtain an overall pass grade in the course.

Coursework requirements

Mandatory assignments
To take the written exam for this course, the student should get 6 of 8 exercises approved.

Course teacher(s)

Course coordinator:

Hirpa Gelgele Lemu

Coordinator laboratory exercises:

Johan Andreas Håland Thorkaas

Coordinator laboratory exercises:

Emil Mannes Surnevik

Head of Department:

Mona Wetrhus Minde

Method of work

Lectures (6 hrs/week), exercises (2 hrs/week) and project work. Most of the exercises and the project work are conducted using a CAE tools.

Overlapping courses

Course Reduction (SP)
Computer-aided Engineering (MOM380_1) 10

Open for

Master studies at the Faculty of Science and Technology. For students with background in Mechanical Engineering.

Course assessment

In accordance with University regulations.

Literature

The syllabus can be found in Leganto