Search Constraints
Number of results to display per page
Results for:
Polyu oer sim
No
Remove constraint Polyu oer sim: No
1 - 32 of 32
Search Results
-
Courseware
This course encourages creative thinking through hands-on experience via building, observing and manipulating micro-and nano-scale structures. Students learn about underlying science and engineering principles and possible applications.
- Subjects:
- Mechanical Engineering
- Keywords:
- Microtechnology Nanotechnology
- Resource Type:
- Courseware
-
Courseware
This course covers: Fundamental concepts; fluid statics; fluid dynamics; Bernoulli's equation; control-volume analysis; basic flow equations of conservation of mass, momentum, and energy; differential analysis; potential flow; viscous incompressible flow.
- Subjects:
- Aeronautical and Aviation Engineering and Mechanical Engineering
- Keywords:
- Fluid mechanics
- Resource Type:
- Courseware
-
Courseware
This course introduces thermodynamic principles; open and closed systems representative of engineering problems; and first and second law of thermodynamics with applications to engineering systems and design. Topics include: thermodynamic concepts, thermodynamic properties, the first law of thermodynamics, first law analysis for a control volume, the second law of thermodynamics, entropy, and second law analysis for a control volume.
- Subjects:
- Aeronautical and Aviation Engineering and Mechanical Engineering
- Keywords:
- Thermodynamics
- Resource Type:
- Courseware
-
Courseware
Manufacturing processes can be organized by considering the type of energy required to shape the work-piece. In this course, sources of energy considered for machining are mechanical used for cutting and shaping, heat energy such as in laser cutting, photochemical such as in photolithography, and chemical energy such as in electro chemical machining and chemical vapor deposition (CVD). Students, guided by product specifications and a design will decide: 1) When to apply mechanical machining vs. lithography based machining, 2) What type of mechanical machining and what type of lithography based machining to apply, 3) When to employ bottom-up vs. top-down manufacturing, 4) When to choose serial, batch or continuous manufacturing and 5) What rapid prototyping method to select. A logical decision tree will be presented to sort the machining options. Examples from a variety of products ranging in size from nanometers to centimeters will be considered.
- Subjects:
- Mechanical Engineering
- Keywords:
- Manufacturing processes Machining
- Resource Type:
- Courseware
-
Courseware
This course helps students develop computational programming skills and gain experience with computational tools to be used in the solution of engineering problems. Topics include: Introduction to Computing, Basic Matlab commands, Arrays: one-dimensional and multi-dimensional, Flow control, Selective execution, Repetitive execution and iterations, Input and Output, Modular Programming: Functions, Plotting, and Advanced data types.
- Subjects:
- Aeronautical and Aviation Engineering and Mechanical Engineering
- Keywords:
- Engineering mathematics -- Data processing Engineering -- Data processing Computer programming
- Resource Type:
- Courseware
-
Courseware
In this engineering course, you will learn about the engineering principles that play an important role in all of these and more phenomena. You will learn about microbalances, radiation, convection, diffusion and more and their applications in everyday life. This advanced course is for engineers who want to refresh their knowledge, engineering students who are eager to learn more about heat/mass transport and for all who have fun in explaining the science of phenomena in nature.
- Subjects:
- Mechanical Engineering
- Keywords:
- Transport theory Energy transfer Heat -- Transmission Mass transfer
- Resource Type:
- Courseware
-
Courseware
The following topics are covered: 1. Turning performance (three dimensional equations of motion, coordinate systems, Euler angles, transformation matrices) 2. Airfield performance (take-off and landing) 3. Unsteady climb and descent (including minimum time to climb problem) 4. Cruise flight and transport performance 5. Equations of motion with a wind gradient present 6. Equations of motion applied to various phases of space flight 7. Launch, Vertical flight, delta-V budget, burn out height, staging 8. Gravity perturbations to satellite orbits, J2 effect for low earth orbit satellites, J2,2 effect for Geostationary Earth Orbit sattelites leading to contribution in ï„V budget 9. Patched conics approach for interplanetary flight, gravity assist effect / options for change of excess velocity (2d, 3d), Launch, in orbit insertion.
- Subjects:
- Aeronautical and Aviation Engineering and Mechanical Engineering
- Keywords:
- Aerodynamics Astrodynamics
- Resource Type:
- Courseware
-
Courseware
The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control. The course is presented in a standard format of lectures, readings and problem sets.
- Subjects:
- Mechanical Engineering
- Keywords:
- Robotics
- Resource Type:
- Courseware
-
Courseware
This is an interdisciplinary, project-based course, centered around a design project in which small teams of students work closely with a person with a disability in the Cambridge area to design a device, piece of equipment, app, or other solution that helps them live more independently.
- Subjects:
- Biomedical Engineering, Mechanical Engineering, Rehabilitation Sciences, Computing, and Electrical Engineering
- Keywords:
- Self-help devices for people with disabilities
- Resource Type:
- Courseware
-
Courseware
This course is an introduction to numerical methods and MATLAB®: Errors, condition numbers and roots of equations. Topics covered include Navier-Stokes; direct and iterative methods for linear systems; finite differences for elliptic, parabolic and hyperbolic equations; Fourier decomposition, error analysis and stability; high-order and compact finite-differences; finite volume methods; time marching methods; Navier-Stokes solvers; grid generation; finite volumes on complex geometries; finite element methods; spectral methods; boundary element and panel methods; turbulent flows; boundary layers; and Lagrangian coherent structures (LCSs).
- Subjects:
- Mechanical Engineering
- Keywords:
- Fluid mechanics
- Resource Type:
- Courseware
-
Courseware
This course is an introduction to designing mechatronic systems, which require integration of the mechanical and electrical engineering disciplines within a unified framework. There are significant laboratory-based design experiences. Topics covered in the course include: Low-level interfacing of software with hardware; use of high-level graphical programming tools to implement real-time computation tasks; digital logic; analog interfacing and power amplifiers; measurement and sensing; electromagnetic and optical transducers; control of mechatronic systems.
- Subjects:
- Mechanical Engineering
- Keywords:
- Mechatronics
- Resource Type:
- Courseware
-
Courseware
This is an advanced course on modeling, design, integration and best practices for use of machine elements such as bearings, springs, gears, cams and mechanisms. Modeling and analysis of these elements is based upon extensive application of physics, mathematics and core mechanical engineering principles (solid mechanics, fluid mechanics, manufacturing, estimation, computer simulation, etc.).
- Subjects:
- Mechanical Engineering
- Keywords:
- Engineering design Machine design
- Resource Type:
- Courseware
-
e-book
A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports.
- Subjects:
- Mechanical Engineering and Computing
- Keywords:
- MATLAB Engineering mathematics
- Resource Type:
- e-book
-
Courseware
This course studies the fundamentals of how the design and operation of internal combustion engines affect their performance, efficiency, fuel requirements, and environmental impact. Topics include fluid flow, thermodynamics, combustion, heat transfer and friction phenomena, and fuel properties, with reference to engine power, efficiency, and emissions.
- Subjects:
- Mechanical Engineering
- Keywords:
- Internal combustion engines
- Resource Type:
- Courseware
-
Courseware
This course covers the fundamental concepts of structural mechanics with applications to marine, civil, and mechanical structures. Topics include analysis of small deflections of beams, moderately large deflections of beams, columns, cables, and shafts; elastic and plastic buckling of columns, thin walled sections and plates; exact and approximate methods; energy methods; principle of virtual work; introduction to failure analysis of structures. We will include examples from civil, mechanical, offshore, and ship structures such as the collision and grounding of ships.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Structural analysis (Engineering)
- Resource Type:
- Courseware
-
Video
Some people say that buying an electric car is a great way to fight climate change - but if they use electricity that is made by burning fossil fuels, are they really more environmentally friendly than gas powered cars?
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Electric vehicles -- Environmental aspects Automobiles -- Environmental aspects
- Resource Type:
- Video
-
Video
From self-healing asphalt to electrified roads, technology is steering the future of driving along some exciting new paths!
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Traffic safety Roads -- Technological innovations Automobile driving
- Resource Type:
- Video
-
Video
This video explores the challenges of self-driving cars and possible solutions to address the safety of self-driving technology.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Automatic control Automobile industry trade -- Technological innovations
- Resource Type:
- Video
-
Video
These tutorials cover a range of material that, depending on where you go to school, might show up in either mechanics of materials 2 or structural analysis courses. A solid understanding of mechanics of materials is necessary to understand the topics presented here.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Structural analysis (Engineering)
- Resource Type:
- Video
-
Video
These 56 tutorials cover typical material from a second year mechanics of materials course (aka solid mechanics). A solid understanding of statics and calculus is necessary to properly learn and grasp the concepts of solid mechanics.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Mechanics Strength of materials
- Resource Type:
- Video
-
Video
This free online statics course teaches how to assess and solve 2D and 3D statically determinate problems. The course consists of 72 tutorials which cover the material of a typical statics course (mechanics I) at the university level or AP physics.
- Subjects:
- Structural Engineering and Mechanical Engineering
- Keywords:
- Mechanics Mechanics Analytic Mechanics Applied Statics
- Resource Type:
- Video
-
Video
The vast majority of our grid-scale storage of electricity uses this clever method. Electricity faces a fundamental problem that comes with pretty much any product that’s provided on-demand: our ability to generate large amounts of it doesn’t match up that closely with when we need it. The storage of electricity for later use, especially on a large scale, is quite challenging. That’s not to say that we don’t store energy at grid scale though, and there’s one type of storage that makes up the vast majority of our current capacity.
- Subjects:
- Environmental Engineering, Hydraulic Engineering, and Mechanical Engineering
- Keywords:
- Energy storage Water-power Pumped storage power plants
- Resource Type:
- Video
-
MOOC
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.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction -- Mathematical models Motor vehicles -- Dynamics
- Resource Type:
- MOOC
-
MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC
-
MOOC
Why are hybrid vehicles still more common than battery electric ones? Why are electric vehicles still more expensive than conventional or hybrid ones? In this course, you will get the answers to this and much more. While electric motors can improve vehicles regarding performance, energy consumption and emissions, they suffer from high cost and weight of batteries. Smart combinations of electric motors and combustion engines in a hybrid powertrain can combine these strengths with the advantages of combustion engines. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about hybridpowertrains. Inthis course, we willexamine different mechanical layouts of hybrid powertrains and how they influence the performance and complexity of the powertrain. Different sizing of powertrains in micro, mild, full hybrids, as well as plug-in hybrids, is also discussed and you'll learn how they can be modelled and analyzed for example by simulation of driving cycles. You will also learn about the Energy Management system and how this controls the hybrid powertrain modes and when to charge and discharge the battery. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Hybrid electric vehicles
- Resource Type:
- MOOC
-
MOOC
Electric powertrains are estimated to propel a large part of road vehicles in the future, due to their high efficiency and zero tailpipe emissions. But, the cost and weight of batteries and the time to charge them are arguments for the conventional powertrain in many vehicles. This makes it important for engineers working with vehicles to understand how both these powertrains work, and how to determine their performance and energy consumption for different type of vehicles and different ways of driving vehicles. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge about electric powertrains. In this course, you will learn how electric and conventional combustion engine powertrains are built and how they work. You will learn methods to calculate their performance and energy consumption and how to simulate them in different driving cycles. You will also learn about the basic function, the main limits and the losses of: Combustion engines, Transmissions Electric machines, Power electronics Batteries. This knowledge will also be a base for understanding and analysing different types of hybrid vehicles, discussed in the course, Hybrid Vehicles. As a result of support from MathWorks, students will be granted access to MATLAB/Simulink for the duration of the course.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Electric vehicles Automobiles -- Power trains
- Resource Type:
- MOOC
-
MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
-
MOOC
Many natural and man-made structures can be modeled as assemblages of interconnected structural elements loaded along their axis (bars), in torsion (shafts) and in bending (beams). In this course you will learn to use equations for static equilibrium, geometric compatibility and constitutive material response to analyze structural assemblages. This course provides an introduction to behavior in which the shape of the structure is permanently changed by loading the material beyond its elastic limit (plasticity), and behavior in which the structural response changes over time (viscoelasticity). This is the second course in a 3-part series. In this series you will learn how mechanical engineers can use analytical methods and “back of the envelope” calculations to predict structural behavior. The three courses in the series are: Part 1 – 2.01x: Elements of Structures. (Elastic response of Structural Elements: Bars, Shafts, Beams). Fall Term Part 2 – 2.02.1x Mechanics of Deformable Structures: Part 1. (Assemblages of Elastic, Elastic-Plastic, and Viscoelastic Bars in axial loading). Spring Term Part 3 – 2.02.2x Mechanics of Deformable Structures: Part 2. (Assemblages of bars, shafts, and beams. Multi-axial Loading and Deformation. Energy Methods). Summer Term
- Subjects:
- Mechanical Engineering
- Keywords:
- Strength of materials Deformations (Mechanics)
- Resource Type:
- MOOC
-
MOOC
In this course, we will introduce you to the fundamentals of sensor fusion for automotive systems. Key concepts involve Bayesian statistics and how to recursively estimate parameters of interest using a range of different sensors. The course is designed for students who seek to gain a solid understanding of Bayesian statistics and how to use it to fuse information from different sensors. We emphasize object positioning problems, but the studied techniques are applicable much more generally. The course contains a series of videos, quizzes and hand-on assignments where you get to implement many of the key techniques and build your own sensor fusion toolbox. The course is self-contained, but we highly recommend that you also take the course ChM015x: Multi-target Tracking for Automotive Systems. Together, these courses give you an excellent foundation to tackle advanced problems related to perceiving the traffic situation around an autonomous vehicle using observations from a variety of different sensors, such as, radar, lidar and camera.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Electronic equipment Automotive sensors
- Resource Type:
- MOOC
-
Courseware
This course discusses theoretical concepts and analysis of wave problems in science and engineering. Examples are chosen from elasticity, acoustics, geophysics, hydrodynamics, blood flow, nondestructive evaluation, and other applications.
- Subjects:
- Mechanical Engineering and Physics
- Keywords:
- Wave mechanics Wave-motion Theory of
- Resource Type:
- Courseware
-
Courseware
This course is focused on physical understanding of materials processing, and the scaling laws that govern process speed, volume, and material quality. In particular, this course will cover the transport of heat and matter as these topics apply to materials processing.
- Subjects:
- Mechanical Engineering and Materials Science
- Keywords:
- Mass transfer Heat -- Transmission Transport theory Manufacturing processes Fluid mechanics
- Resource Type:
- Courseware
-
Video
Biofuels can provide energy without the reliance on environmentally harmful fossils fuels -- but scientists are still searching for a plentiful source. Craig A. Kohn demonstrates how cellulose, the naturally abundant tough walls of plant cells, might be the solution.
- Subjects:
- Mechanical Engineering, Environmental Engineering, and Chemical and Bioprocess Technology
- Keywords:
- Renewable energy sources Biomass conversion Cellulose -- Biodegradation Biomass energy
- Resource Type:
- Video