Lectures related to Additive Manufacturing of Aluminium: Alloy Design and Machine Learning Optimization

Explores concrete mechanical properties, including strength, elasticity, and curing techniques.

Explores random materials, solutes, and their impact on mechanical performance, including strength, toughness, and fatigue.

Cost Modelling for Sustainable Innovation

Introduces cost modelling as a tool for sustainable innovation and covers topics such as transport CO2 emissions and material properties.

Mechanical Design: Gear Systems and Load Analysis

Discusses gear systems, focusing on load analysis, design principles, and manufacturing processes.

Mechanical Properties of Ti Alloys

Explores the mechanical properties and fatigue behavior of titanium alloys, as well as the basic facts and applications of aluminum and magnesium.

Optimization with Constraints: KKT Conditions

Covers the KKT conditions for optimization with constraints, essential for solving constrained optimization problems efficiently.

Energy optimization strategies

Covers brainstorming options for smart operation changes, heat recovery, and PV panel performance.

Statistical Mechanical Resistance: Ceramics

Covers statistical mechanical resistance in ceramics, including Weibull statistic and stable cracking behavior in compression.

Mechanical Properties of Aluminum Alloys: Strength and Composition

Covers the mechanical properties of aluminum alloys, focusing on yield strengths and compositions essential for engineering applications.

Energy Systems Optimization

Explores energy systems modeling, optimization, and cost analysis for efficient operations.

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Ultrasonic Wireless Power Transmission

Explores ultrasonic wireless power transmission for bioelectronics, discussing benefits, challenges, and technological advancements.

Fracture Mechanics: Crack Growth and Weakest Link

Explores fracture mechanics, crack growth, and the weakest link theory, emphasizing the statistical distribution of crack sizes and the significance of the largest crack in material failure.

Atomic-scale Modeling: Interactive Exercises and Graded Assignments

Explores atomic-scale modeling through interactive exercises and graded assignments, covering crystallography, diffraction, defects, and regression models.

Aluminium: Structure and Properties

Delves into the composition and structure of an aluminium alloy.

MILP Model and Typical Days by FM

Discusses MILP model, typical days, clustering, and extreme periods analysis in energy systems optimization.

Deep and Convolutional Networks: Generalization and Optimization

Explores deep and convolutional networks, covering generalization, optimization, and practical applications in machine learning.

Fracture Mechanics: Defects and Energy

Explores fracture mechanics, defects, stress factors, and energy release in material fracture.

Weibull Model: Random Data

Explores the Weibull model's application to random data and its significance in analyzing material strength and failure probability.

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