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EDAM | Advanced Study Course Listing | Fall Semester |
Curricula Units - Fall Semester
| Course | Product Design and Development |
| Status |
Compulsory |
| Program |
- An overview of development processes and organizations
- Product planning
- Identifying customer needs
- Product specifications
- Concept generation
- Concept selection
- Concept testing
- Product architecture
- Industrial design
- Robust design
- Design for Manufacturing
- Prototyping
- Product development economics
- Managing product development projects
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| Learning Outcomes |
- Competence with a set of tools and methods for product design and development required to facilitate interdisciplinary problem solving and decision making
- Gaining confidence in ones abilities to create and assure the industrialization of a new product.
- Awareness of the role of multiple functions in creating a new product (e.g. marketing, finance, industrial design, engineering, production). Students will be led through the design process and connect the theory to applications. Students will learn real-world examples of today's design and manufacturing environments.
- Ability to coordinate multiple, interdisciplinary tasks in order to achieve a common objective.
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| Course | Technology Evaluation and Selection |
| Status |
Compulsory |
| Program |
- Materials data and selection criteria (performance, manufacturing, socio-environmental, economical)
- Materials and process selection screening (e.g. Ashby plots)
- Interrelationships between properties and manufacturing/processing technology
- Preliminary FEA calculations and prototyping to decide on material and/or technology
- Decision Analysis
- Multi-attribute utility analysis
- Dynamic strategic planning
- Production and cost functions
- Investment appraisal techniques of engineering projects
- Life cycle assessment
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| Learning Outcomes |
- Competence to make use of methodologies and tools to select and evaluate materials and manufacturing technologies
- Capability to use an integrated approach of systems analysis and applied economics for selecting and evaluating technological projects
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| Course | Operations Research |
| Status |
Optional |
| Program |
- Decision processes in organizations. General modeling principles and issues. Decision Support Systems: structure and components; design and implementation issues.
- Decision Analysis: uncertainty and risk; decision trees.
- Multi-criteria Decision Making.
- Introduction to mathematical modeling, optimization, and simulation, as applied to manufacturing.
- Linear programming and extensions, network flow problems, Graph Theory.
- Combinatorial Optimization: models and applications for manufacturing processes and systems. Heuristic techniques: design principles and implementation issues.
- Discrete-event simulation: models and applications. Visual interactive simulation.
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| Learning Outcomes |
- To develop or modeling skills for the implementation and solution of real problems.
- Competencies for:
- identifying main PPC functional units / alternative methods that can be used to implement each PPC functional unit
- understanding their implications within organizational procedures
- specifying IS requirements that support PPC functional units
- selecting and use PPC software systems
- designing, implementing and querying relational databases and data warehouses
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| Course | Processing of Polymers and Composites |
| Status |
Optional |
| Program |
- Thermo mechanical and rheological fundamentals of polymer processing
- Non-conventional processes and advanced technologies for thermoplastics processing
- Processing technologies for composite structures
- Special manufacturing processes, including micro-machining, micro-assembly and hybrid techniques.
- Engineering aspects of tool design and manufacturing
- Advanced process monitoring
- Process modeling in polymers and composites processing
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| Learning Outcomes |
- Comprehensive understanding of the processing techniques for polymers and polymer-based composites, focusing on advanced polymeric systems and complex part geometries
- Insight in emerging non-conventional techniques
- Understanding of the critical factors involved in tool and part design to assure efficient and robust manufacturing processes
- Familiarization with CAE and monitoring tools in polymer processing
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| Course | Advanced Metal Fabrication |
| Status |
Optional |
| Program |
- Plasticity and viscoplasticity
- Formability
- Friction, wear and lubrication
- Numerical modeling of manufacturing processes
- Experimental procedures applied to manufacturing processes
- Advanced issues in metal forming, blanking and metal cutting processes
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| Learning Outcomes |
- Consolidated understanding of plasticity, viscoplasticity, formability, damage, friction, wear and lubrication applied to the mechanical processing of materials (metal forming, shearing/blanking and metal cutting).
- General knowledge on the utilization of computer programs for the numerical simulation of manufacturing processes as well as a good understanding on the experimental techniques that can be used for obtaining data under laboratory and industrial controlled conditions.
- Insight on several mechanical processing technologies that are not introduced during the master course of mechanical engineering.
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| Course | Optimized Integration of Materials and Structures |
| Status |
Optional |
| Program |
- A system containing multifunctional parts that can perform sensing, control, and actuation can be considered as a smart structure. Smart materials are used to construct these smart structures, which can perform both sensing and actuation functions. Hence, enhanced performance can be obtained through a combination of different materials, sensors and actuators.
- It covers characterization and optimization of performance of smart materials and structures (single-phase materials, composite materials, smart structures) either by smart materials, functional graded materials, shape memory alloys and active structures. Besides the characterization, information will be given covering manufacturing, assembly and systems ‘‘responsiveness’’ to environmental stimuli and their ‘‘agility.’’
- An integration of sensors, actuators, and a control system to perform many desirable functions, such as synchronization with environmental changes, self-repair of damages, etc. will be pursued.
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| Learning Outcomes |
- Understanding the operating fundamental and the application potential of smart materials and smart structures
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| Course | Design and Manufacturing Systems / Integrating Technology and Management |
| Status |
Compulsory |
| Program |
- Explore the gaps in conventional engineering and management paradigms.
- Awareness of the strengths and limitations of traditional engineering approaches to problems.
- Motivate the students to learn about fields (TME courses) that complement their current skills.
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| Learning Outcomes |
- Synthesis of the role of engineering and management practices in technological companies.
- Capability to integrate different areas of knowledge and to employ formal tools to treat problems that span technological, corporate and social domains.
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