This course aims at acquainting you with the modeling and simulation of complex articulated mechanical systems, denoted as multibody systems, such as vehicles, merry-go-rounds, bicycles, cranes, human bodies, suspensions, robot manipulators, mechanical transmissions, etc. This course is based on (1) video clips focusing on the main theoretical background and concepts, (2) well-illustrated written sections giving more details about the mathematical formulation, and (3) questions, exercises and modeling projects. Despite the intrinsic complexity of such systems in terms of morphology and motions, basic skills in Newtonian mechanics, linear algebra and numerical methods are sufficient to model them, provided that the endless and tedious computation related to their internal kinematics and dynamics are at our disposal. This is the purpose of the symbolic program ROBOTRAN, which can be used with this course and can automatically generate the full set of equations of motion of MBS, in a symbolic manner, i.e. exactly as if you were writing them by hand, whatever the size and their morphological complexity of the application. Hence, this course will instead teach you how to intervene upstream and downstream of this generation step. Upstream the latter you will learn how to translate the real system, e.g. a car suspension, into a virtual multibody model comprising bodies, joints, springs, sensors, constraints, external forces and torques… with a level of refinement that will be dictated by the original issue: for example, what is the minimum tire ground force when the car suspension is excited by a shaker? Downstream the symbolic generation, your intervention will consist in: Completing the symbolic model with features that are indispensable for/specific to your system, e.g. a tire force model, a data look-up-table interpolation or the tuning of a motion controller, among other things; Selecting and implementing under the form of a program (in Python, Matlab, or C) the suitable numerical method to solve the differential equations of motion, given the original question: an equilibrium solution can give you the static forces and the system deflection, a time simulation can compute any transient motion of the system submitted to forces and torques, a modal analysis will provide you with the eigenmodes that inform you about the system stability and damping characteristics. Selecting the most suitable results, including self-explanatory - and sometimes funny - video animations of your multibody system in motion. In sum, this course, based on the use of the ROBOTRAN* symbolic generator, will allow you to focus on the most interesting aspects of the multibody modeling process, by entirely mastering your computer model from the input data to the results, instead of using a black-box multibody program that clearly goes against the educational objective of such a course. Enjoy Multibody Dynamics! Note: The course was built to teach modeling and simulation of multibody systems, and not to teach any specific software. Some results of system modeling and simulation are provided with Robotran software. Thus, the use of the multibody software of your choice is possible but will not be subject to the monitoring of the teachers of this course. This course is provided in collaboration with Polytechnique Montréal.

Modeling, control design, and simulation are important tools supporting engineers in the development of automotive systems, from the early study of system concepts (when the system possibly does not exist yet) to optimization of system performance. This course provides a theoretical basis to model-based control design with the focus on systematically develop mathematical models from basic physical laws and to use them in control design process with specific focus on automotive applications. You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Starting from a pure state-feedback concept down to optimal control methods, with special attention on different automotive applications. Different methods for state reconstruction is also introduced and discussed in the course. Exercises play an important rolethroughout the course. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to learn more about mathematical modelling of automotive systems.

In this hands-on course, you'll learn how to perform engineering simulations using a powerful tool from ANSYS, Inc. This is a problem-based course where you'll learn by doing. The focus will be on understanding what's under the blackbox so as to move beyond garbage-in, garbage-out. You'll practice using a common solution approach to problems involving different physics: structural mechanics, fluid dynamics and heat transfer. We'll solve textbook examples to understand the fundamental principles of finite-element analysis and computational fluid dynamics. Then we'll apply these principles to simulate real-world examples in the tool including a bolted rocket assembly and a wind turbine rotor.We'll discuss current industry practices with a SpaceX engineer. By working through examples in a leading simulation tool that professionals use, you'll learn to move beyond button pushing and start thinking like an expert. This course teaches fundamental concepts and tool use in an integrated fashion using the power of online learning. All learners will have access to a free download of ANSYS Student. Join us to discover why simulations have changed how engineering is done and how you can be a part of this revolution.

There is no doubt that technological innovation is one of the key elements driving human progress. However, new technologies also raise ethical questions, have serious implications for society and the environment and pose new risks, often unknown and unknowable before the new technologies reach maturity. They may even lead to radical disruptions. Just think about robots, self-driving vehicles, medical engineering and the Internet of Things. They are strongly dependent on social acceptance and cannot escape public debates of regulation and ethics. If we want to innovate, we have to do that responsibly. We need to reflect on –and include- our societal values in this process. This course will give you a framework to do so. The first part of the course focuses on ethical questions/framework and concerns with respect to new technologies. The second part deals with (unknown) risks and safety of new technologies including a number of qualitative and quantitative risk assessment methods. The last part of the course is about the new, value driven, design process which take into account our societal concerns and conflicting values. Case studies (ethical concerns, risks) for reflection and discussions during the course include – among others- the coronavirus, nanotechnology, self-driving vehicles, robots, AI, big data & health, nuclear energy and CO2 capture and coolants. Affordable (frugal) innovations for low-income groups and emerging markets are also covered in the course. You can test and discuss your viewpoint. The course is for all engineering students who are looking for a methodical approach to judge responsible innovations from a broader – societal- perspective.

In this engineering course you will learn how to analyze vaults (long-span roofs) from three perspectives: Efficiency = calculations of forces/stresses Economy = evaluation of societal context and cost Elegance = form/appearance based on engineering principles, not decoration We explore iconic vaults like the Pantheon, but our main focus is on contemporary vaults built after the industrial revolution. The vaults we examine are made of different materials, such as tile, reinforced concrete, steel and glass, and were created by masterful engineers/builders like Rafael Guastavino, Anton Tedesko, Pier Luigi Nervi, Eduardo Torroja, Félix Candela, and Heinz Isler. This course illustrates: how engineering is a creative discipline and can become art the influence of the economic and social context in vault design the interplay between forces and form The course has been created for a general audience—no advanced math or engineering prerequisites are needed.  This is the second of three courses on the Art of Structural Engineering, each of which are independent of each other. The course on bridges was launched in 2016, and another course will be developed on buildings/towers.

Have you ever wondered why ventilation helps to cool down your hot chocolate? Do you know why a surfing suit keeps you warm? Why iron feels cold, while wood feels warm at room temperature? Or how air is transferred into aqueous liquids in a water treatment plant? How can we sterilize milk with the least amount of energy? How does medicine spread in our tissue? Or how do we design a new cooling tower of a power plant? All these are phenomena that involve heat transfer, mass transfer or fluid flow. Transport Phenomena investigates such questions and many others, exploring a wide variety of applications ranging from industrial processes to environmental engineering, to transport processes in our own body and even simple daily life problems In this course we will look into the underlying concepts of these processes, that often take place simultaneously, and will teach you how to apply them to a variety of real-life problems. You will learn how to model the processes and make quantitative statements.

Electric vehicles are the future of transportation. Electric mobility has become an essential part of the energy transition, and will imply significant changes for vehicle manufacturers, governments, companies and individuals. If you are interested in learning about the electric vehicle technology and how it can work for your business or create societal impact, then this is the course for you. The experts of TU Delft, together with other knowledge institutes and companies in the Netherlands, will prepare you for upcoming developments amid the transition to electric vehicles. You'll explore the most important aspects of this new market, including state-of-the-art technology of electric vehicles and charging infrastructure; profitable business models for electric mobility; and effective policies for governmental bodies, which will accelerate the uptake of electric mobility. The course includes video lectures, presentations and exercises, which are all reinforced with real-world case studies from projects that were implemented in the Netherlands. The production of this course would not have been possible without the contributions of the Dutch Innovation Centre for Electric Road Transport (D-INCERT) and is taught by experts from both industry and academia, who share their knowledge and insights.

Have you wondered how something was manufactured? Do you want to learn what it takes to turn your design into a finished product at scale? This course introduces a wide range of manufacturing processes including machining, injection molding, casing, and 3D printing; and explains the fundamental and practical aspects of manufacturing at scale. For each process, 2.008x explains the underlying physical principles, provides several examples and demonstrations, and summarizes design for manufacturing principles. Modules are also included on cost estimation, quality and variation, and sustainability. New content added in 2020 includes multimedia examinations of product disassembly and select updated lecture videos. Together, the content will enable you to design a manufacturing process for a multi-part product, make quantitative estimates of cost and throughput, and recognize important constraints and tradeoffs in manufacturing processes and systems. The course concludes with a perspective on sustainability, digitization, and the worldwide trajectory of manufacturing.

Classical detectors and sensors are ubiquitous around us from heat sensors in cars to light detectors in a camera cell phone. Leveraging advances in the theory of noise and measurement, an important paradigm of quantum metrology has emerged. Here, ultra-precision measurement devices collect maximal information from the world around us at the quantum limit. This enables a new frontier of perception that promises to impact machine learning, autonomous navigation, surveillance strategies, information processing, and communication systems. Students in this in-depth course will learn the fundamentals about state-of-the-art quantum detectors and sensors. They will also learn about quantum noise and how it limits quantum devices. The primary goal of the course is to empower students with a critical and deep understanding of emerging applications at the quantum-classical boundary. This will allow them to adopt quantum detectors and sensors for their own endeavors.

This physics course, taught by world-renowned experts in the field, will provide you with an overview of applications in plasma physics. From the study of far distant astrophysical objects, over diverse applications in industry and medicine, to the ultimate goal of sustainable electricity generation from nuclear fusion. In the first part of this course, you will learn how nuclear fusion powers our Sun and the stars in the Universe. You will explore the cyclic variation of the Sun’s activity, how plasma flows can generate large-scale magnetic fields, and how these fields can reconnect to release large amounts of energy, manifested, for instance, by violent eruptions on the Sun. The second part of this course discusses the key role of plasma applications in industry and introduces the emerging field of plasma medicine. You will learn in detail how plasmas are generated and sustained in strong electric fields, why plasmas are indispensable for the manufacturing of today’s integrated circuits, and what the prospects are of plasma treatments in cancerology, dentistry and dermatology. In the third and most extensive part of this course, you will familiarize yourself with the different approaches to fusion energy, the current status, and the necessary steps from present-day experimental devices towards a fusion reactor providing electricity to the grid. You will learn about the key ingredients of a magnetic fusion reactor, how to confine, heat, and control fusion plasmas at temperatures of 100 million degrees Kelvin, explore the challenges of plasma wall interactions and structural materials, and the importance of superconductivity. Finally, in the fourth part of this course, you will learn about laser-created plasmas and the interaction between plasmas and high-power laser pulses. Applications range from energy production by thermonuclear fusion to laboratory astrophysics, creation of intense sources of high-energy particle and radiation beams, and fundamental studies involving high-field quantum electrodynamics. To enjoy this course on plasma applications, it is recommended to first familiarize yourself with the plasma physics basics taught in Plasma Physics: Introduction .