• Overview of manufacturing processes.
• Laser assisted processes. Types of Lasers. Characteristics of laser equipment. Basic Laser processes. Drilling. Cutting (two-dimensional, three-dimensional).
• Laser controlled processes.
• Heat transfer and fluid dynamics in laser Analysis of Laser processes.
• Applications of Laser processes.
• Rapid prototyping techniques. Stereolithography. Selective Laser sintering. Layer Object Manufacturing. Direct CAD manufacturing. Material deposition manufacturing.
• Applications of rapid prototyping methods.

LEARNING OUTCOMES

The learning outcomes expected by the end of the course are:

• Knowledge: Students will develop a critical understanding of the operating principles and underlying theories of a series of non-conventional processes, thus acquiring advanced knowledge in this field.
• Skills: Students will develop advanced skills in understanding complex problems and in developing and implementing solutions, addressing technical challenges in non-conventional processing methods.
• Abilities: Combining knowledge and skills to enable students to develop autonomous methodologies and / or tools to address specific technical challenges of non-conventional processes.

Το άρθρο Non Conventional Manufacturing Processes εμφανίστηκε πρώτα στο MEAD.

1. Introduction to the Dynamic Identification and Structural Healthy Monitoring based on measurements of vibration signals.
2. General principles & specifications of Dynamic Identification and Structural Health Monitoring problems.
3. Non-parametric and parametric deterministic and stochastic models for the representation of the structural dynamics in time and frequency domain.
4. Methods for the identification of deterministic models.
5. Methods for the identification of stochastic models.
6. Non-parametric methods for Structural Health Monitoring based on measurements of vibration signals.
7. Parametric methods for Structural Health Monitoring based on measurements of vibration signals.
8. Structural Healthy Monitoring under varying operating conditions.
9. Advanced topics.
10. Experimental applications.

LEARNING OUTCOMES

The course is an established introduction in the advanced and modern topics of Dynamic Identification (DI) and Structural Health Monitoring (SHM) using measurements of vibration signals. With the successful completion of the course, the student will be in position to:

• Understand the problems with their specifications as well as the principles of the Dynamic Identification and Structural Health Monitoring based on measurements of vibration signals.
• Propose proper non-parametric and parametric deterministic and stochastic models for the dynamics representation of the investigated structure.
• Develop proper non-parametric and parametric deterministic and stochastic models using various estimation methods and measurements of vibration signals.
• Analyze the effectiveness and the accuracy of the estimated models.
• Comprehend the basic principles of non-parametric and parametric methods for Structural Health Monitoring which are based on vibration signals.
• Opt the most proper modern Structural Health Monitoring methods for tackling various types of relative problems.
• Analyze the effectiveness of Structural Health Monitoring methods using proper indices and diagrams.
• Evaluate the presence of potential varying operating conditions and propose methods for their proper tackling.
• Design and apply the above in practice using proper equipment and software (such as MATLAB/SIMULINK and R programming language).

Το άρθρο Dynamic Identification and Structural Health Monitoring εμφανίστηκε πρώτα στο MEAD.

• Introduction to material handling systems: concepts, application areas and benefits of use
• Conveying machines – Types, classification and uses, theory of transport machines
• Theory of lifting machines, types of lifting machines, basic calculation formulas
• Categories of material handling systems and key equipment: conveyors, overhead cranes, automated guided
  vehicles (AGVs), perception systems, robotic systems
• Basic design and management principles of material handling. Principles of lean manufacturing, warehouse
  management systems, material flow optimization
• Challenges and future trends in material handling systems: automated warehouses, material handling
  technologies, the role of artificial intelligence and robotics
• Safety and ergonomics in material handling systems: common hazards, best practices for creating safe work
  environments

LEARNING OUTCOMES

The course is an Optional course and is offered by the Division of Design & Manufacturing in the 10th Semester of the
program.
Course Objectives:

• Recognition of the importance and role of material handling machines and systems in modern technological and
  social systems
• Understanding of the main concepts, theory, and methods for designing flexible material handling systems, the
  concepts of flexible manufacturing, and the selection of appropriate methods and technological equipment
• Understanding and analysis of the different types and categories of loads, machine conveying machines and
  systems, and their modes of operation
• Highlighting the importance of sustainability, safety, and cost optimization in modern systems by integrating
  technologies from the 4th Industrial Revolution

Upon successful completion of the course, students will be able to:

• Identify the types of material handling systems, the respective equipment, and the scientific principles related to
  their operation
• Evaluate and apply basic scientific methods for the design and implementation of handling systems, taking into
  account their safety and efficiency
• Design and calculate the main components of a material handling system

Το άρθρο Advanced Material Handling Systems εμφανίστηκε πρώτα στο MEAD.

• Friction and wear. Contact processes (Hertz theory).
• Surface roughness.
• Measure the actual contact surface.
• Slip friction, contact temperature.
• Rolling friction. Theories of friction.
• Viscosity and flow indexes.
• Newtonian and non-Newtonian fluids.
• Viscosity Measurements. Petroff’s equation, Friction power losses.
• Stribeck curve.
• Hydrodynamic lubrication. Reynolds equation.
• Sliding bearings.
• Hydrostatic lubrication. Journal bearings.
• Aircraft bearings.
• Elastohydrodynamic lubrication.
• Mixed and boundary lubrication.
• Lubricant properties. Bearing materials. Tribological Applications.

LEARNING OUTCOMES

The course concerns the tribological design of machines and products. The subject matter of the course aims to give to  the students of the Department of Mechanical and Aeronautical Engineering the knowledge of Tri-mechanical systems. Friction and wear. Contact processes (Hertz theory). Surface roughness. Measure the actual contact surface. Slip friction, contact temperature. Rolling friction. Theories of friction. Viscosity and flow indexes. Newtonian and non-Newtonian fluids. Viscosity Measurements. Petroff’s equation, Friction power losses. Lubrication. Stribeck curve. Hydrodynamic lubrication. Reynolds equation. Sliding bearings. Hydrostatic lubrication. Journal bearings. Aircraft bearings. Elastohydrodynamic lubrication. Mixed and boundary lubrication. Lubricant properties. Bearing materials. Tribological Applications.

Upon successful completion of the course the student will be able to:

• Has understand concepts related to theory in the design and application of friction wear and lubrication in Machine Elements in typical problems of Mechanical Engineer.
• To have methodological and quantitative understanding through the solving of related exercises, issues related to the tribological design of machine components in applications of Mechanical Engineering.
• In the Machine Design Laboratory, to has performed experimental tests ( not obligatory) related to the friction and wear measurements as well as viscosity measurements with appropriate devices.

• Through the semester project and the collaboration with the  team members, they have to undergo a semester study focused in the tribo design of machine elements and products.

Το άρθρο Tribology in machine design εμφανίστηκε πρώτα στο MEAD.

The course is separated into 12 modules as listed below :

• Flight control mechanisms
• Engine control mechanisms
• Fuel subsystem
• Hydraulic subsystem
• Electric Power subsystem
• Pneumatic subsystem
• Air conditioning Subsystem
• Emergency subsystems
• Helicopter subsystems
• Special function subsystems
• Avionics

Design integration procedures for the aircraft subsystems

LEARNING OUTCOMES 

THE LEARNING OUTCOMES FOLLOWING A SUCCESFUL COMPLETION OF THE COURSE REQUIREMENTS WILL INVOLVE ::

• Knowledge: The students are introduced to the basic structure of a typical aircraft and its main subsystems. This is followed by an extensive discussion on the current technology and design aspects of each of these subsystems. At the completion of the course the student will be familiar with various versions of subsystems available on the market so that he will be able to pass judgement of their merits.
• Skills: The student will be able to select rationally among various alternatives in a future design project he will be associated with.
• Capabilities: As discussed above.

Το άρθρο Aircraft Systems εμφανίστηκε πρώτα στο MEAD.