Lecture

Dynamic Behavior of Mechanisms

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In course

ME-311: Dynamical effects in mechanical design

Ce cours poursuit la compréhension des effets cinématiques et dynamiques de systèmes mécaniques complexes et introduit les bases pour les comprendre et les modéliser. L'étudiant saura expliquer et modéliser la dynamique et choisir des modèles adéquats. ...

Description

This lecture covers the positive control mechanism in machines, emphasizing the importance of precision in movement. It discusses the harmonic response and dynamic behavior of structures, focusing on modeling with rigidity and dissipation elements. The lecture also explores the impact of speed, mechanical resistance, and damping on structural stress.

Instructor

Jürg Alexander Schiffmann

Teaching & PhD PhD Students Hendrik Dietmar Schillinger, Gabriele Iovanna, Husam Jubran, Selahittin Atilay Zervent, Harshita Ravindra Agarwal, Anupam Jena, Issam Soukhmane, Tristan Wolff Schwab, Aman Jain, Masato Omotsubo, Konstantin Andreas Jacoby, Andrii Artomov, Arnau Catala I Rams, Elize Alwash, Emanuele Pallaoro, Anna Abramishvili Past EPFL PhD Students Violette Mounier, Karim Magdi Zakaria Abdelrahman Shalash, Patrick Hubert Wagner, Markus Diehl, Philipp Kaspar Bättig, Kévin Rosset, Eliott Philippe

Official source

Related concepts (11)

Extended precision

Extended precision refers to floating-point number formats that provide greater precision than the basic floating-point formats. Extended precision formats support a basic format by minimizing roundoff and overflow errors in intermediate values of expressions on the base format. In contrast to extended precision, arbitrary-precision arithmetic refers to implementations of much larger numeric types (with a storage count that usually is not a power of two) using special software (or, rarely, hardware).

Dynamical systems theory

Dynamical systems theory is an area of mathematics used to describe the behavior of complex dynamical systems, usually by employing differential equations or difference equations. When differential equations are employed, the theory is called continuous dynamical systems. From a physical point of view, continuous dynamical systems is a generalization of classical mechanics, a generalization where the equations of motion are postulated directly and are not constrained to be Euler–Lagrange equations of a least action principle.

Accuracy and precision

Accuracy and precision are two measures of observational error. Accuracy is how close a given set of measurements (observations or readings) are to their true value, while precision is how close the measurements are to each other. In other words, precision is a description of random errors, a measure of statistical variability. Accuracy has two definitions: More commonly, it is a description of only systematic errors, a measure of statistical bias of a given measure of central tendency; low accuracy causes a difference between a result and a true value; ISO calls this trueness.

Precision and recall

In pattern recognition, information retrieval, object detection and classification (machine learning), precision and recall are performance metrics that apply to data retrieved from a collection, corpus or sample space. Precision (also called positive predictive value) is the fraction of relevant instances among the retrieved instances. Written as a formula:. Recall (also known as sensitivity) is the fraction of relevant instances that were retrieved. Written as a formula: . Both precision and recall are therefore based on relevance.

Dynamical system

In mathematics, a dynamical system is a system in which a function describes the time dependence of a point in an ambient space, such as in a parametric curve. Examples include the mathematical models that describe the swinging of a clock pendulum, the flow of water in a pipe, the random motion of particles in the air, and the number of fish each springtime in a lake. The most general definition unifies several concepts in mathematics such as ordinary differential equations and ergodic theory by allowing different choices of the space and how time is measured.

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