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mechatronics

Data-Driven Systems Engineering

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data-driven systems engineering

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Manufacturing Engineering

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manufacturing systems engineering

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Mechatronic Actuators

The course covers the comparison, selection, implementation, and control of pneumatic, hydraulic, and electric actuators for various mechatronic applications, emphasizing semiconductor elements, drive solutions, and closed-loop systems.

course

mechatronic actuators

ILO4: actuator precise and stable control, operating requirements, time behaviour

ILO4: mechatronic actuator used in a closed- loop system for precise and stable control according to specified requirements for the time behaviour of a system

ILO4: control system, modelling, open-loop control, closed-loop control and regulation, controller, PID control

ILO4: actuator as part of a control system, modelling of control systems, sensors, open and closed-loop control and regulation, implementation of controllers, PID control

ILO4: use a mechatronic actuator in a closed-loop system

ILO1: compare pneumatic, hydraulic and electric actuators and select a suitable actuator for a particular application in terms of cost, environmental conditions and operating conditions.

ILO1: pneumatic actuators, hydraulic actuators, electric actuators, characteristics, actuators cost, environmental conditions, operating conditions

ILO1: cactuators, characteristics, comparison

ILO1: cmechatronic application, suitable actuator, costs, environmental conditions, operating conditions

ILO2: understand the role of different electronic semiconductor elements for mechatronic actuators and implement them.

ILO2: semiconductor, semiconductor elements, diode, transistor, thyristor

ILO2: semiconductor elements for mechatronic actuators, diodes, transistors, thyristors, silicon controlled rectifiers, insulated-gate bipolar transistor, characteristics

ILO2: use of semiconductor elements in mechatronic actuator applications

ILO2: signal processing, control and regulation, power management, sensing and feedback, heat dissipation, protection

ILO1: cselection of a suitable actuator for a particular application

mechatronics

mechatronic actuators

ILO3: implement drive solutions with different electric drives on different platforms

ILO3: mechanical drives, equations of motion, linear systems, motion trajectories, velocity profiles, axis types, bearing types, coupling types, sensors, torque matching

ILO3: drives, linear systems, motion, displacement, velocity, acceleration, velocity profile, displacement, precision and accuracy, axes, bearings, couplings

ILO3: implementation of drives for mechatronic applications on different platforms

ILO3: mechatronic application, drive solutions, development platforms

Data Analysis

The course covers modern information technologies such as OLAP, data warehouses, data mining, and artificial intelligence, and teaches students to implement management desktops for effective data visualization and decision support processes.

ILO1: describe modern information technologies, such as OLAP, data warehouses, data mining methods , artificial intelligence methods

ILO1: Modern information technologies

ILO1: OLAP, data warehouse, data mining, artificial intelligence, manage-ment desktop

ILO1: decision support processes

ILO2: Implement an example management desktop

ILO2: management desktop

ILO2: manage¬ment desktop, data visualization, Excel, pivot tables

ILO2: Data visualization

ILO3: compare various methods and techniques used in predictive analytics, indicating their areas of application, advantages and limitations

ILO3: predictive analytics

ILO3: machine learning, linear regression, logistic regression, k-nearest neighbours, classification tree, regression tree random forest

ILO3: predictive analytics in decision support processes

ILO4: evaluate predictive models using selected metrics and plots

ILO4: evaluation of prediction results

ILO4: evaluation of regression models, evaluation of classification models

ILO4: evaluation of predictive models in decision support processes

Simulation Modelling

The course teaches the principles and methods of modeling continuous-time systems using system dynamics, enabling students to construct and analyze simulation models that reflect key features and behaviors of complex systems.

ILO1: explain the concepts related to modelling continuous-time systems using the system dynamics method

ILO1: modelling the continuous-time systems concepts

ILO1: modelling, simulation, continuous-time system

ILO1: system dynamics method

ILO1: systems thinking, system dynamics method

ILO2: construct a simulation model reflecting the key features and behaviour of the system under analysis

ILO2: simulation model reflecting key features and behaviours

ILO2: system, model, modelling, simulation system archetypes

the system under analysis

system, system archetypes

ILO3: analyse simulation experiment results for continuous-time systems

ILO3: simulation experiment results

ILO3: simulation experiment

ILO3: continuous-time systems

ILO3: continuous-time systems

Manufacturing Processes

The course covers advanced machining, casting, metal forming, metrology, and joining processes, focusing on quality, productivity, cost, and practical applications in manufacturing environments.

ILO3: Evaluate metal forming processes through extrusion and rolling techniques, applying principles of deformation and friction analysis, and selecting appropriate equipment for operations l

ILO5: Joining operations

ILO5: welding (gas, arc, resistance, brazing, plasma) and related defects

ILO5: manufacturing, quality and, cost principles of various joining processes

ILO5: Analyze and evaluate joining techniques in manufacturing such as welding (gas, arc, resistance, brazing, plasma) and related defects

ILO4: Metrology and inspection operations

ILO4: (tolerance, geometric errors, surface texture, precise instruments (calipers, micrometers), and CMMs

ILO4: Metrology, quality and, cost principles of various inspection processes

ILO4: Apply and use metrology concepts such as tolerance, geometric errors, surface texture, precise instruments (calipers, micrometers), and CMMs for accurate inspections, and program measur

ILO3: Metal forming operations

ILO3: extrusion and rolling techniques, principles of deformation and friction analysis, equipment

ILO3: manufacturing, quality and, cost principles of various metal forming processes

course

manufacturing processes

ILO2: Casting operations

ILO2: model design, core design, gating system, cooling modules, material properties, feasibility, foundry defects

ILO2: manufacturing, quality and, cost principles of various casting processes

ILO2: Design and optimize casting processes considering model and core design, gating system, cooling modules, and material properties. Evaluate economic feasibility, identify and rectify com

ILO1: chip removal, manufacturing processes, industrial, industry

ILO1: chip removal operations

ILO1: turning, drilling, milling, and grinding

ILO1: advanced machining processes and their quality, productivity, and costs

ILO1: Evaluate advanced machining processes and their quality, productivity, and costs in manufacturing environments and operations

Assembly Technology

The course covers the role and importance of the assembly process in manufacturing, including modeling, designing, evaluating, and optimizing both manual and automatic assembly systems, with a focus on technical and economic criteria.

ILO7: assembly process

ILO5: best sequence applying technical and economic criteria

ILO5: assembly sequences, product analysis, workflow analysis

ILO5: given product

ILO6: describe the function of all the elements of an assembly system (both automatic and manual)

ILO6: the function of all the elements

ILO6: sequence analysis, technical criteria, economic criteria

ILO6: given product

ILO7: evaluate the impact of the product design on the assembly process, by applying the Boothroyd DFA methodologies

ILO7: the impact of the product design by applying the Boothroyd DFA methodologies

ILO7: DFA, product design, impact, design efficiency

ILO7: on the assembly process

ILO8: identify the requirements on design of an assembly station and provide instructions for the subsequent implementation

ILO8: requirements on design and instructions for the subsequent implementation

ILO8: assembly sequence, assembly requirements, design requirement

ILO8: assembly station

ILO8: assembly station

ILO9: calculate the costs and the most important economical key performance indicators (KPIs) for standard assembly systems (both manual and automatic)

ILO9: the costs and the most important economical key performance indicators (KPIs)

ILO9: KPI, cost, economic performance

ILO9: standard assembly systems (both manual and automatic)

ILO9: standard assembly system, manual assembly, automatic assembly

ILO1: Manufacturing domain

ILO3: assembly process, manual assembly, automatic assembly

ILO3: a manual or automatic assembly process

ILO3: constraints, dynamic, static

ILO3: the dynamic and static constraints

ILO3: account for the dynamic and static constraints of a manual or automatic assembly process

ILO2: design, assembly system

ILO2: design and evaluation of assembly systems

ILO2: modelling, assembly feature, parameters, constraints, tolerances

ILO2: create mathematical and feature models of assemblies and use them in context of design and evaluation of assembly systems

ILO2: mathematical and feature models of assemblies

ILO1: assembly process, assembly line

ILO1: the role of the assembly process, importance

ILO1: describe the role of the assembly process within the manufacturing domain and discuss its importance

ILO4: analyse a given product and define feasible assembly sequences

ILO4: feasible assembly sequences

ILO4: assembly sequences, product analysis, workflow analysis

ILO4: Given product

ILO5: choose the best sequence by applying technical and economic criteria

Planning and Control

The course covers fundamental principles and advanced techniques in production planning and control, including aggregate planning, master production scheduling, inventory control, operations scheduling, and lean tools, with a focus on optimizing shop floor per...

ILO6: push, pull, control policies

ILO4: a product with known demand

ILO4: product, demand

ILO5: choose the best operations scheduling approach to optimize certain shop floor performance indicators

ILO5: the best operations scheduling approach

ILO5: scheduling, operations, sequencing rules, line balancing

ILO5: optimize certain shop floor performance indicators

ILO5: KPI, performance indicator

ILO6: describe the principles of push and pull control policies

ILO6: the principles of push and pull control policies

ILO4: inventory, control, type of inventory, ABC analysis, EOQ model, quantity discount model

ILO7: explain and utilize appropriate lean tools to continuously improve shop floor performance

ILO7: appropriate lean tools

ILO7: lean philosophy, tools, 5S, Toyota production system, wates, value stream mapping, PDCA, SMED, Kanban

ILO7: continuously improve shop floor performance

ILO7: continuous improvement, performance

ILO8: apply value stream mapping for current and future states to a given case study

ILO8: value stream mapping for current and future states

ILO8: value stream mapping, current state, future state, action plan, lead time, capacity analysis, continuous flow, factory layout, product families, heijunka

ILO8: a given case study

ILO8: case study

ILO2: multi-component product

ILO1: explain fundamental principles used in traditional production planning and control systems

ILO1: fundamental principles

ILO1: production planning, production control, scheduling, inventory management, demand forecasting, capacity planning, production efficiency

ILO1: in traditional production planning and control systems

ILO1: production planning, production control

ILO2: develop aggregate plans for manufacturing of a multi-component product

ILO2: aggregate plans

ILO2: aggregate planning, resource allocation, demand forecasting, cost optimization

ILO2: manufacturing of a multi-component product

course

planning and control

ILO3: propose and motivate a Master Production Schedule and a Material Requirements Plan for a given aggregate plan

ILO3: Master Production Schedule and a Material Requirements Plan

ILO3: MRP, bill of material, enterprise resource planning, MPS

ILO3: a given aggregate plan

ILO4: apply proper inventory control methods for a product with known demand

ILO4: proper inventory control methods

linear state feedback controller

Signals and Systems

ILO3: Level 3 - apply, implement, use, operate, interpret; Level 4 - analyse, compare, test

ILO3: peak time, pole placement, Ackermann’s formula, linear state feedback

ILO3: Approximate a state equation as a second order system to explicitly set the needed step response characteristics, choose the correct poles and find the linear feedback vector using one

ILO3: step response, overshoot, settling time, feedback controller, controllability, Bass-Gura formula

ILO3: Second-order approximation, pole placement technique, step response characteristics, linear feedback controller, controller canonical form.

ILO3: Apply second-order approximation. Interpret controllability. Use pole placement for a linear feedback controller. Compare the Bass-Gura and the Ackermann’s formulas.

ILO2: Level 2 - understand, describe, explain, classify; Level 3 - apply, solve, execute

ILO2: matrix determinant, eigenvector space, Vandermonde matrix

ILO2: Explicitly solve for each state variable using one of the selected formulas for computing the matrix exponent.

ILO2: matrix exponent, eigenvalues, eigenvectors

ILO2: Matrix exponent computation, state equation solution, state vector components

ILO2: Solve the linear canonical state equation using the matrix exponent. Explain matrix eigenvalues and eigenvectors. Create time dependency plots for each vector component.

ILO1: Level 2 - understand, describe, identify; Level 3 - apply, demonstrate, solve.

ILO1: state variables electrical circuits, Kirchhoff’s law, electro-mechanical systems, DC motor

ILO1: Selection of state variables for a particular engineering model represented as a system of ordinary differential equations

ILO1: state space, matrices, linear systems, state variables

ILO1: the state-space approach, state equations, ordinary differential equations, choice of state variables, canonical form, energy storage

ILO1: Understand the derivation of state equations. Apply basic matrix operations. Identify which state variables to choose based on energy storage or other considerations.

state-space methods

Lean Manufacturing

ILO1: .Describe tools and methods in Lean Manufacturing

ILO2: Implement a Lean Manufacturing tool or method

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Test shelf 2

Basics of Machine Vision

ILO1: identify and explain fundamental concepts and components of machine vision systems, including image acquisition, processing techniques, and applications

ILO1: fundamental concepts of machine vision systems

ILO1: image acquisition, processing techniques, applications

ILO1: understanding fundamental principles for usage in industrial applications and scientific domains

ILO2: to apply image processing algorithms (e.g., filtering, morphological operations, BLOB analysis) to analyze and manipulate images for specific machine vision tasks

ILO2: implementation of image processing algorithms

ILO2: image processing algorithms, feature extraction techniques, tools, Matlab, OpenCV

ILO2: industrial image analysis, biological data interpretation, practical problem-solving in machine vision

Logic Systems

ILO1: analyze and construct compound propositions, logical equivalences, and fuzzy logic operations for practical problem-solving in logic systems

ILO1: analyzing and constructing logical operations, truth tables, compound propositions, fuzzy set operations, control system rules to solve problems in logic systems

ILO1: logical operations, truth tables, compound propositions, fuzzy set operations, control system rules

ILO1: design of practical logic systems, control rules, real-world applications, problem-solving scenarios

Vision Inspection Systems for Manufacturing Automation

Advanced applications of Vision Inspection Systems for automated quality control in the manufacturing domain

ILO1: Describe the main concepts of vision system in the context of quality control

ILO1: concepts of vision systems

ILO1: quality control, defects, manufacturing

ILO2: Use basic programming Python libraries for computer vision operations

ILO2: basic programming rules

ILO2: OpenCV, Python, Image analysis

ILO3: Analyse case studies and select HW and SW components for vision system design

ILO3: HW and SW components

ILO3: automation, complex systems, machine vision

Optimization of Production Processes (OPP)

Advanced Metrology, Optimization, and IT/OT integration for smart manufacturing

ILO1: Understand the OT/IT integration for smart manufacturing systems

ILO1: IT/OT integration

ILO1: IT/OT integration, smart manufacturing, efficiency, innovation, connectivity, systems, technology

Additive Manufacturing

This course offers the basic notions and practical application of Additive Manufacturing technology

ILO1: Understand the basics of Additive Manufacturing (AM) and its industrial applications in manufacturing contexts

ILO1: Additive Manufacturing

ILO1: Additive Manufacturing, 3D Printing, CAD, Materials, Prototyping, Rapid Prototyping, Industrial Applications

ILO2: CAD 3D modelling for industrial applications

ILO2: CAD 3D modelling

ILO2: CAD, software modelling, 3D model, geometry, surfaces, CAD formats

Assembly system

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Test chapter

Test book

A test chapter

State-space approach for linear control systems. Chapter I: Introduction

Signals and Systems

This chapter introduces the state-space representation for linear time invariant systems. It is shown, how to derive state equations for physical systems described with a single ODE, a system of them or represented as a transfer function.

State-space approach for linear control systems. Chapter 2: Solution of state equations

Signals and Systems

We start with a comparison to a first order linear ODE to move towards a multi-dimensional casewhich relies on matrix algebra. The goal is to build the solution of linear time invariant modelsexpressed in the standard state equation form. Introduces the matrix...

State-space approach for linear control systems. Chapter 3: Design of a linear state feedback control law

Signals and Systems

Lecture 5: Introduction to the gain matrix, shaping the transient response with step response characteristics, Lecture 6: Controllability. Controller canonical form. Lecture 7: Closed-loop eigenvalue placement via state feedback. Matlab examples.

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