This course comprises all the fundamental elements in the field of Additive Manufacturing (AM). The course focuses on AM’s dynamics and unique characteristics which have the potential to be utilized as a feasible production system both as a standalone technology or in combination with conventional technologies for industrial manufacturing purposes. Basic introduction, various technological classes (as defined by ASTM standard), workflow, design, and applications of AM technologies are among the subjects that are going to be covered during this course.
This course aims at establishing a comprehensive knowledge base within the concept of Additive Manufacturing.
The course includes the following elements:
Definition of basic concepts, introduction of technologies, advantages and limitations of additive manufacturing
Classification of technologies, main characteristics, and applications
Cataloguing workflow by covering steps from CAD generation to manufacturing and post-processing
Comprehension of design for AM (DFAM) and its implications for manufacturers
Exploration of applications and value propositions through studying business cases
In this course, you will gain insight in components and technologies included in the Industrial Internet of Things (IIoT).
Designed specifically for manufacturing sector professionals, the course provides knowledge about the infrastructure, the technologies and requirements needed to generate, transport and manage data in the Industrial Internet of Things (IIoT) system which is one of the main building blocks towards digitalization and smart factories.
It includes project work, laboratory exercises and assignments where the student gets knowledge of different applications of IIoT in the manufacturing industry.
Our Industry 4.0 – Realisation course covers all aspects of digitalisation and automation of smart factories. The course focuses on the application of new technologies with practical examples in complete production settings.
The course covers digitalisation and automation technologies and their application in smart factories. Technologies covered include simulation and deployment, digital twin, connectivity as an enabler for e.g. predictive maintenance, manufacturing execution systems and robotics.
To be translated
Kursen behandlar fundamentala och övergripande frågor relaterade till laserbaserad tillverkning, nuvarande forskningsområden samt applikationsområden för laserbaserad tillverkning. Speciellt behandlar kursen mekanismer inom lasersvetsning, värmeledningssvetsning, nyckelhålssvetsning, absorbtionsmekanismer (Fresnel- och bremstrålningsabsorbtion), influens av skyddsgas och plasmaplym, prestanda och kvalitetsaspekter, lasersvetsning av olika material, komponenter i lasersvetsningssystem samt inblick i forskningsfrågor inom lasersvetsning.
Kurskod, ansökningskod, plats, takt och undervisningsspråkVP743A, HS-26359, flexibel distans, 40%, undervisningen ges på svenska (viss undervisning på engelska kan förekomma). Ämne, utbildningsområdeVirtuell produktframtagning, teknik
Ansökan, behörighet och antagningOm du arbetar inom industrin, men saknar akademiska meriter, kan du ansöka om att bli bedömd på så kallad reell kompetens. Läs mer på den här sidan his.se/ansokindustrikurser Mer information om kursen samt länk till ansökan hittar du på Högskolan i Skövdes kurssida.
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.
Are you working with logistics in the manufacturing industry? Then this is a course for you!
The course is specially designed for those who work with logistics in the manufacturing industry and it will give you an increased understanding of how to design smart logistics systems. You will get to analyse your company's logistics system and with the help of various Industry 4.0 technologies you will identify possible ways to improve the logistics system of your own company.
Today, the explosion of data has created new opportunities to apply machine learning (ML). Handling of the large amounts of data created by the very rapid digitization would not be possible without Machine Learning (ML). The purpose of the course "Introduction to Machine Learning" is to give you the foundation for ML. You will get an introduction to the basic areas of ML: data, statistics and probability for ML.