Simon Stock

M.Sc.
Research Assistant

Contact

Simon Stock, M. Sc.
E-6 Elektrische Energietechnik
  • Elektrische Energietechnik
Office Hours
Jederzeit
Harburger Schloßstraße 36,
21079 Hamburg
Building HS36, Room C3 0.006
Phone: +49 40 42878 2378
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Research Projects

Applications of AI in distribution system operation

Applications of AI in distribution system operation

Hamburg University of Technology (TUHH); Duration: 2020 to 2024

VeN²uS
Networked grid protection systems - Adaptive and interconnected

VeN²uS

Networked grid protection systems - Adaptive and interconnected

Federal Ministry for Economic Affairs and Climate Action (BMWK); Duration: 2021 to 2024

Research Focus

Optimal operation and energy managment in electrical distribution grids (Smart Grids) using artifical intelligence

Publications

TUHH Open Research (TORE)

2023

2022

2021

Courses

Stud.IP
zur Veranstaltung in Stud.IP Studip_icon
Machine Dynamics (PBL)
Untertitel:
This course is part of the module: Machine Dynamics
Semester:
SoSe 24
Veranstaltungstyp:
PBL -Projekt-/problembasierte Lehrveranstaltung (Lehre)
Veranstaltungsnummer:
lv3145_s24
DozentIn:
Dr. Alireza Abbasimoshaei, Ornella Tortorici, Ph.D.
Beschreibung:

1:Mechanisms
1.1 Introduction
1.2 Types of Kinematic Joints
1.3 Elements Or Links
1.4 Constrained Motion
1.6 Kinematic Chain
1.7 Types of Mechanisms and Equivalent Mechanisms
1.8 Classification of Machines
1.9 Degrees of Freedom
1.10 Four-Bar Chain
1.11 Grashof’s and Grubler’s Law
1.12 Inversion of Mechanisms
1.13 Simulation in software


2: Velocity in Mechanisms
2.1 Introduction
2.2 Velocity Diagrams
2.3 Determination of Link Velocities
2.4 Relative Velocity (linear and angular)
2.5 Instantaneous Centre Method and its types
2.6 Analyses in Software


3: Acceleration in Mechanisms
3.1 Introduction
3.2 Acceleration of a Body Moving in a Circular Path
3.3 Acceleration Diagrams and Center for Different Mechanisms
3.4 Coriolis Acceleration
3.5 Link Sliding Acceleration
3.7 Analytical Analysis of Different Mechanisms Properties in Software




4: Belts, Chains, Ropes, Clutches,and Brakes
4.1 Introduction
4.2 Flat Belt Drive and Velocity and Tension Ratio
4.3 V-Belt Drive
4.4 Chain Drive and Pitch
4.5 Rope Drive
4.6 Types of Brakes and their analyses
4.7 Types of Clutches and their analyses
4.8 Driving their Equations in Software


5: Cams
5.1 Introduction
5.2 Classification of Cams
5.3 Types of Followers
5.4 Cam Profile
5.5 Follower Different Motions
5.6 Cam Profile with Knife-Edge Follower
5.7 Cam Profile with Roller Follower
5.8 Cam Profile with Translational Flat-Faced Follower
5.9 Cam Profile with Swinging Roller Follower
5.10 Analytical Methods
5.11 Radius of Curvature and Undercutting
5.12 Cam Size
5.13 Initial Design of a Cam and its Profile Driving by Software



6:Static and Dynamic Force Analysis
6.1 Introduction
6.2 Static Force Analysis and Equilibrium
6.3 Dynamic Force Analysis

6.4 Force Convention andFree Body Diagrams
6.5 Principle of Superposition
6.6 Force Analyses in Softwares and drive the equations


7: Balancing
7.1 Introduction
7.2 Balancing of Rotating Masses and Analytical Method for Balancing
7.3 Reciprocating Masses
7.4 Reciprocating Engine
7.5 Primary Balance
7.6 Multicylinder In-Line Engines
7.7 Secondary Balancing
7.8 Balancing of Radial Engines, V-Engines, and Rotors
7.9 Static Balance
7.10 Dynamic Balance
7.11 Flexible Rotor Balancing
7.12 Balancing Machines
7.13 Balancing Analyse in Software

8:Gyroscopic and Precessional Motion
8.1 Introduction
8.2 Precessional Motion
8.3 Fundamentals of Gyroscopic Motion
8.4 Gyroscopic Couple of a Plane Disc
8.5 Effect of Gyroscopic Couple on Bearings
8.6 Gyroscopic Couple on an Aeroplane
8.7 Stability of a Two and Four-Wheel Vehicle Taking a Turn
8.8 Effect of Precession on a Disc Fixed at a Certain Angle to a Rotating Shaft
8.9 Gyroscopic Analysis in Software


9: Gear Trains
9.1 Introduction
9.2 Types of Gear Trains
9.3 Determination of Speed Ratio of Planetary Gear Trains
9.4 Sun and Planet Gears and Their equations
9.5 Epicyclics with Two Inputs
9.6 Compound Epicyclic Gear Train
9.7 Epicyclic Bevel Gear Trains
9.8 Torque in Epicyclic Gear Trains
9.9 Gear Movement analyses in Software

10:Kinematic Synthesis of Planar Mechanisms
10.1 Introduction
10.2 Movability (or Mobility) or Number Synthesis
10.3 Transmission Angle in Different Mechanisms
10.4 Limit Positions and Dead Centres of a Four-Bar Mechanism
10.5 Dimensional Synthesis
10.6 Graphical Method of Synthesis
10.7 Design of Different Mechanisms by Relative Pole Method
10.8 Errors in Kinematic Synthesis of Mechanisms
10.9 Analytical Method (Function Generation, Chebyshev’s Spacing,Freudenstein’s Equation)
10.10 Implementing Synthesis Methods in Softwares


11: Mechanical Vibrations
11.1 Introduction
11.2 Definitions
11.3 Types of Free Vibrations
11.4 Basic Elements of Vibrating System
11.5 Degrees of Freedom
11.6 Simple Harmonic Motion
11.7 Free Longitudinal Vibrations
11.8 Effect of the Spring Mass and Equivalent Stiffness
11.9 Critical Speed
11.10 Geared System

Leistungsnachweis:
m1896-2023 - Machine Dynamics<ul><li>p1930-2023 - Machine Dynamics: Subject theoretical and practical work</li></ul>
ECTS-Kreditpunkte:
3
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Heimatinstitut: Institut für Mechatronik im Maschinenbau (M-4)
In Stud.IP angemeldete Teilnehmer: 5
Anzahl der Dokumente im Stud.IP-Downloadbereich: 7

Supervised Theses

ongoing
completed

2021

  • Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.

  • Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.

  • Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.

  • Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.

2020

  • Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.

  • Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.