The course will provide lectures to introduce the basic knowledge of metal cutting process, NC technology and its applications in manufacturing devices (e.g. NC machine tools), the basic knowledge of NC programs based on ISO 6983 standard, the methodology of process planning, and their implementations in computeraided manufacturing environment. The tutorials will be provided to practice process planning and NC programming with a Computer Aided Manufacturing (CAM) program for a given part which is expressed by 3D model with PMI. Results and findings will be reported and reflected upon in a technical report following a given template which is an analogous file for shop floor communication purpose. After completed course the student should be able to:• describe the basics of metal cutting process,• describe the working principles of numerical control (NC) machine tools,• program NC codes based on the ISO 6983 standard,• analyze part 3D models with Product and Manufacturing Information (PMI) and interpret its implication for machining by applying the knowledge of process planning,• create a process plan for a given part using a CAM program,• document the process planning results as shop floor communication files. Course code, application code, location, pace and languageMT131G, HS-21742, flexibel distance, 25%, teaching in English. Subject, Disciplinary DomainMechanical Engineering, Technology Application, eligibility and admissionIf you work in industry, but lack academic qualifications, you can apply to be assessed on so-called real competence. Read more on this page his.se/ansokindustrikurser More information about the course and a link to the application can be found at the University of Skövde's course page.
The course begins with an introduction to optimization-driven design and how it is used in industrial contexts, this is followed by solution methods for optimization problems in a variable. These introductory parts of the course deal with unlimited optimization and the focus is on creating a variety of solution methods for different types of optimization problems. Examples of solution methods that are treated are linear programming (LP), Newton's method, secant methods and the steepest descent method. In these latter methods, problems are considered in several variables, which also applies to the remaining parts of the course. For limited optimization problems, different methods for handling coercion are presented, for example Karush-Kuhn-Tucker (KKT), quadratic programming (QP), active quantities and multipliers. The course continues with convex optimization and variation differences with application in mechanical engineering and ends with structure, shape and topology optimization. After completed course the student should be able to:show familiarity with basic optimization algorithms and their use,display knowledge about how structural and design optimization can be used during the design process,demonstrate comprehension of how optimization driven design is used in the development of sustainable products,demonstrate the ability to use topology optimization in structural analyses,demonstrate the ability to perform sensitivity analyses,demonstrate the ability to perform a major optimization driven design project.