This course synthesizes thermodynamics, heat transfer, and fluid mechanics, mirroring the complexities of real-life thermal-fluid systems. In this module, the emphasis will be on the fundamentals of thermodynamics and hydrostatics.
This course synthesizes thermodynamics, heat transfer, and fluid mechanics, mirroring the complexities of real-life thermal-fluid systems. In this module, the emphasis will be on the fundamentals of thermodynamics and hydrostatics.
This course serves as an introduction to the field of thermal-fluids engineering, which primarily revolves around the conversion of energy between different forms. Thermal-fluid engineering applications encompass a wide range of fields, such as computer cooling, energy conversion plants, and transportation. Given that thermal-fluids systems inherently incorporate the principles of thermodynamics, heat transfer, and fluid mechanics, this course aims to provide an integrated understanding of these fundamental scientific disciplines. This synthesized approach enables a comprehensive understanding of the subject matter and enhances the capacity to design thermal-fluid systems more effectively.
A solid understanding of undergraduate physics (specifically, classical mechanics) and multivariable calculus, especially comfort with differentiation and integration.
John Liu is the Principal Investigator of the MIT Learning Engineering and Practice (LEAP) Group, which applies design and systems principles to solving challenges in learning and develops learning experiences to better meet the increasing demand for STEM skills in tomorrow’s workforce. He is a Lecturer in MIT's Mechanical Engineering department and Scientist of the MITx Digital Learning Laboratory. As the former Director of the Principles of Manufacturing MicroMasters program, he facilitated a team of faculty and instructors to develop content and innovate manufacturing education at MIT using digital technology.
His work includes engineering education, mixed reality and haptic experiences, workforce solutions to address the nation-wide manufacturing skills gap, open-ended assessments for scalable education settings, and instructional design theory for massively open online courses. He earned his B.S. in Applied Physics from Caltech and S.M. and Ph.D. and S.M. in Mechanical Engineering from MIT, under an MIT-SUTD fellowship and NSF Graduate Research Fellowship.
Daniel received his PhD from Northeastern University’s (NEU) Mechanical and Industrial Engineering program with a concentration in Materials Science. His research focused on the development of a new class of thermally conductive polymer composites for additive manufacturing. During his time at NEU, he was an Academic Technology Scholar as well as a Teaching Fellow. As an Academic Technology Scholar, Daniel guided NEU faculty in converting their in-person courses to be hosted fully online in Canvas. As a Teaching Fellow, he was instructor of record for a core PhD course in Soft Matter (colloidal physics). Daniel received his Bachelor of Science in Mechanical Engineering and his Master of Science in Materials Science from Worcester Polytechnic Institute.
Dr. Lermusiaux is Professor of Mechanical Engineering and Ocean Science and Engineering at MIT. He received his B. / M. Eng. degree from the University of Liege (1992), his M. Sc. from Harvard University (1993), and his Ph.D. from Harvard University (1997). He received a Fulbright Foundation Fellowship (1992), the Wallace Prize at Harvard (1993), the Ogilvie Young Investigator Lecture in Ocean Eng. at MIT (1998), and the MIT Doherty Chair in Ocean Utilization (2009-2011). In 2010, the School of Eng. at MIT awarded him with the Ruth and Joel Spira Award for Distinguished Teaching. He has made outstanding contributions in data assimilation, as well as in ocean modeling and uncertainty predictions. His research thrusts include understanding and modeling complex physical and interdisciplinary oceanic dynamics and processes. With his group, he creates, develops and utilizes new mathematical models and computational methods for ocean predictions and dynamical diagnostics, for optimization and control of autonomous ocean systems, for uncertainty quantification and prediction, and for data assimilation and data-model comparisons. He has participated in many national and international sea exercises. He has served on numerous committees and organized large meetings and workshops. He is associate editor in three journals and has more than hundred twenty refereed publications.
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