Ocean engineers and mechanical engineers at MIT, including Wim van Rees, Michael Benjamin, and Pierre Lermusiaux, are utilizing advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
In this research work, a novel disc-type configuration of magneto-rheological brake (MRB) with zigzag magnetic flux path is proposed. In this design, a rotor component consisting of several magnetic plates integrated in a disc made of non-magnetic material is implemented. A magnetic plate is separated with the others by nonmagnetic separators of the disc. Corresponding magnetic plates and separators are also implemented on the housing of the MRB. With this configuration, the magnetic flux line is forced to cross the MR fluid (MRF) duct from the disc to the housing at this separator and then from the housing to the disc at the next separator. This results in a zigzag magnetic flux path between the disc and the housing. The separators on each side of the housing are integrated on a bobbin, on which the magnetic coil is installed. When counter currents are applied to the coils on each side of the housing, a mutual magnetic field with zigzag flux lines across the MRF duct is generated. Bas
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[1], the University of Delaware’s annual “Big Data in Railroad Maintenance Planning” conference provides a forum for railroad and data analytics professionals to come together with academia and discuss the latest applications and research in railway-related data science. Clearly evident from these annual conferences, there is growing use of data analytics, often referred to as “Big Data,” to address maintenance and safety issues in all aspects of railroading: Engineering (Track and Structures), Equipment (Rolling Stock) and Transportation (Operations). This article will continue that discussion of the December 2020 conference, focusing on the Track and Right-of-Way-related applications of data analytics to the issues of railroad safety and maintenance. Although held in a virtual format, the conference organized by Drs. Allan M. Zarembski, Nii Attoh-Okine and Joseph Palese was able to attract more than 270 attendees from the full spectrum of railroad Big Data-related activit