141 - 150 of 184 results for: ME

Refinement and calibration of energy system models generated in ME 370B carrying the models to maturity and completion. Integration of device models into a larger model of energy systems. Prerequisites: 370A,B, consent of instructor.

Heat of reaction, adiabatic flame temperature, and chemical composition of products of combustion; kinetics of combustion and pollutant formation reactions; conservation equations for multi-component reacting flows; propagation of laminar premixed flames and detonations. Prerequisite: 362A or 370A, or consent of instructor.

The role of chemical and physical processes in combustion; ignition, flammability, and quenching of combustible gas mixtures; premixed turbulent flames; laminar and turbulent diffusion flames; combustion of fuel droplets and sprays. Prerequisite: 371.

This course introduces the fundamental principles of aerosol and nanoparticle science, with applications including battery material synthesis, catalysis, optical properties, and interstellar dust. Topics will span particle-laden flow dynamics across the free-molecular to continuum regimes, including the evolution of particle size distributions, nucleation, coalescence, and the development of fractal structures. Continuum-based approaches to kinetic and thermodynamic behavior will address particle-gas interactions, diffusion, phoretic forces, Smoluchowski relations, and nucleation. The course will also cover methods for analyzing molecular-scale properties (e.g., molecular dynamics) and optical properties (e.g., the discrete dipole approximation) as they relate to aerosol particle characterization.

Wildfires are unplanned fires that burn in natural areas, such as forests, grasslands, shrublands, and other environments such as wildland-urban interface. While wildfires have been a natural part of our ecosystem, they can threaten livelihood and properties and impact environment and health. The severity and frequency of large wildfires in the United States have increased significantly over the past decades. This is largely attributed to human-caused climate change, increased human population in wildland-urban interface, and changes in fire-management policy. This surge in wildfire activity has resulted in substantial increase in burn area, pollutant and smoke emissions, and associated health effects. This course introduces students to the science of wildland fires, with a specific focus on the physics and quantitative understanding of wildfire behavior, environment impact, and fire management. Starting with the fundamentals of combustion and heat transfer, we will examine effects of wildfire behavior, fire propagation and the transition to extreme-fire events that are driven by atmospheric interaction. The second part of this course is concerned with the modeling and prediction of wildfires. To address deficiencies in the detailed understanding of fire-physics, we will examine recent developments of data-driven methods and their use for fuels characterization, fire detection, fire-risk assessment, and fire behavior predictions. As part of a series of homework assignments and projects, students will have the opportunity to analyze observational data, develop physical models, and examine different wildfire scenarios.

Design Thinking Studio is an immersive introduction to design thinking. You will engage in the real world with your heart, hands and mind to learn and apply the tools and attitudes of design. The class is project-based and emphasizes adopting new behaviors of work. Fieldwork and collaboration with teammates are required and are a critical component of the class. Application required, see dschool.stanford.edu/classes for more information.

Individual storytelling action and reflective observations gives the course an evolving framework of evaluative methods, from engineering design; socio cognitive psychology; and art that are formed and reformed by collaborative development within the class. Stories attached to an idea, a discovery or starting up something new, are considered through iterative narrative work, storytelling as rapid prototyping and small group challenges. This course will use qualitative and quantitative methods for story engagement, assessment, and class determined research projects with practice exercises, artifacts, short papers and presentations. Graduate and Co-Term students from all programs welcome. Class size limited to 21.

Engineering approaches applied to the musculoskeletal system in the context of surgical and medical care. Fundamental anatomy and physiology. Material and structural characteristics of hard and soft connective tissues and organ systems, and the role of mechanics in normal development and pathogenesis. Engineering methods used in the evaluation and planning of orthopaedic procedures, surgery, and devices. Open to graduate students and undergraduate seniors.

Guest speakers present contemporary research on experimental and theoretical aspects of biomechanical engineering and bioengineering. May be repeated for credit.