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Computer Aided Manufacturing

Code:

TGI25

Sigla:

PAC

Áreas Científicas
Classificação	Área Científica
OFICIAL	Industrial Organisation and Technology

Ocorrência: 2023/2024 - 3T

Ativa?	Yes
Unidade Responsável:	Departamento de Engenharia Mecânica
Curso/CE Responsável:	Industrial Management and Techinology

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
TGI	34	Plano de Estudos 2016	3	-	7	66	189

Língua de trabalho

Portuguese

Objetivos

• Understand the new Industry 4.0 paradigms and the benefits of using new technologies such as CNC Technology, Mobile Robotics, Additive Manufacturing, Collaborative and Systems Integration in the context of manufacturing


• Provide a sequence of knowledge for the analysis, design, planning and improvement of production systems.


• Deepen a set of core knowledge and use advanced production technologies, from technologies associated with the product design and its prototyping (CAD and Additive Manufacturing) to its manufacturing and assembly in larger scale (CAD / CAM, CNC, Robotics).


• Develop skills to support the use of methodologies and softwares for modelling and simulation, with the aim to optimize the performance of manufacturing and assembly processes or design flexible manufacturing systems (FMS).

Resultados de aprendizagem e competências

• Knowing how to observe and decide based on the new paradigms of Industry 4.0 and the benefits of using new technologies, such as CNC Technologies, Mobile and Collaborative Robotics, Additive Manufacturing and Systems Integration, in the context of the manufacturing industry.


• Acquire knowledge and skills with a view to analyzing, designing, planning and improving production systems.


• Greater basic knowledge and skills in the use of advanced production technologies, from technologies associated with the design and manufacture of prototypes (CAD and Additive Manufacturing) to the actual manufacturing and assembly (CAD/CAM, CNC, Robotics).


• Greater basic knowledge and skills in the use of modeling and simulation methodologies and software that allow optimizing the performance of manufacturing and assembly processes or designing flexible manufacturing systems (FMS).

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

Technologies and manufacturing processes

Programa

1.Introduction to Computer Aided Manufacturing

  Types of Production Systems and the New Industry 4.0 Paradigms

2.Automation

  Automation Types

  Relationship with the different types of productive systems

3.Production Processes and Automation Strategy

  Organization and processing of information in the production process

  Automation Strategies

4.Computer Aided Design (CAD)

  Characterization of a CAD system

  Design Process Steps and Product Development Support Technologies

  Modeling Types

  Advantages and disadvantages associated with CAD systems

5. Computer Numerical Control Production Processes

  Computer Numerical Control and DNC Systems

  Process Planning

  NC Programming

6.Flexible Manufacturing Systems (FMS)

  FMS Components and Types

  Typical Layout Settings

  Control system, sensors and actuators

  Design and planning of an FMS

7.Robotics

  Robot Configuration

  Robot Control Systems

  Sensor Type

  Robot Programming

  Application of Robots in Industry

Bibliografia Obrigatória

M. Groover; Automation, Production Systems and Computer integrated Manufacturing, Pearson Prentice Hall, 2015
Sabina Jeschke, et al; Industrial Internet of Things Cybermanufacturing Systems, Springer, 2017
S. Kallkjian; Manufacturing Engineering and Technology, Addions Wesley, 2011
Sabina Jeschke, et al; Industrial Internet of Things Cybermanufacturing Systems, Springer, 2011

Bibliografia Complementar

S. Kallkjian; Manufacturing Engineering and Technology, , Addions Wesley. ISBN: 0-13-017440-8

Métodos de ensino e atividades de aprendizagem

The teaching methodology is based on practice based research and learning, and the evaluation is continuous evaluation.

The themes addressed in this UC have a relevant theoretical component that can be demonstrated and therefore a combination of teaching methodologies that promote research, reflection and experimentation is justified. Research, reflection and experimentation will thus continue throughout the semester, guided by the teacher and subject to continuous evaluation.

The evaluation method is based on the continuous evaluation of the students in the accomplishment of the following works:
• T1 - Presentation of the development of the subjects of the discipline (35%)
• T2 - Development of Laboratory work related to the Case Study (35%)
• T3 - Knowledge assessment test (30%)
•

Final Classification Calculation

Final Classification (continuous) = T1 - Presentation of the development of the subjects of the discipline (35%) + T2 - Development of Laboratory work related to the Case Study (35%) + T3 - Knowledge measurement test (30%) 

Final Classification (exam) = Exam (100%) or Exam (50%) + Theoretical-Practical Work (T1) & LABs (T2) (50%)

Students who obtain a Final Classification higher than 17 will be subject to an oral test to assess their knowledge. In case the student is not interested in defending his grade, he will be given a final classification of 17 values.

Tipo de avaliação

Distributed evaluation with final exam

Componentes de Avaliação

Designation	Peso (%)
Participação presencial	5,00
Apresentação/discussão de um trabalho científico	25,00
Teste	35,00
Trabalho laboratorial	35,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Frequência das aulas	75,00
Trabalho de campo	10,00
Trabalho de investigação	20,00
Trabalho laboratorial	20,00
Apresentação/discussão de um trabalho científico	5,00
Estudo autónomo	32,00
Total:	162,00

Obtenção de frequência

 A minimum grade of 9.5 is required in any of the assessment dimensions:

• T1 - Presentation of the development of the subjects of the discipline
• T2 - Delivery and presentation of a design and manufacturing work
• T3 - Knowledge assessment test

Fórmula de cálculo da classificação final

Final classification = T1 x (35%) + T2 x (35%) + T3 x (30%)

Observações

Schedule of doubts of the teacher Carlos Fortes: Tuesdays from 20:30 to 21:00