J B Gupta Electrical Machines Pdf Download

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Aug 5, 2024, 2:09:22 AM8/5/24

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Powerconverters are an essential component of many electrical systems, from a smartphone or electric car to the electric grid. These devices flip current from AC to DC or DC to AC, modulate electric frequency, stabilize voltages, and generally make sure electricity is in a form usable by our electronics.

She dedicated the rest of her undergraduate career to power systems, electrical machines and power electronics. That interest led her to UW-Madison and the Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC) research group for her graduate work. At UW-Madison, advised by ECE Professor and WEMPEC Director Giri Venkataramanan, Gupta began her research into power converters.

After earning her PhD, she spent a year at Ford Motor Company, working on electric vehicles as part of the research and advanced engineering group, designing electrified powertrain systems. In 2020, Gupta joined Portland State University in Oregon as an assistant professor.

PhD student Araz Saleki also will be joining Gupta at UW-Madison. Saleki is working on a National Science Foundation-funded project to design very-high-density and efficient power converters for integration of battery energy storage systems into the electric grid.

Prof. Nikhil Gupta joined the NYU-Tandon School of Engineering faculty in 2004 and currently serves as Professor in the Department of Mechanical and Aerospace Engineering. He is also affiliated with the Department of Civil and Urban Engineering and Center for Cybersecurity.

His other awards include the 2020 Brimacombe Medalist Award from TMS; 2013-ASM-International Silver Medal, 2013-TMS Young Leader Professional Development Award, 2007 and 2009 Visiting Lectureship Award from the American Society for Metals-Indian Institute of Metals, and the Air Force Summer Faculty Fellowship administered by the American Society of Engineering Education.

Prof. Gupta served as the Chair of the Composites Materials Committee of TMS (2016-2018) and Membership Secretary of American Society for Composites. He is serving on the editorial board of Materials Science and Engineering A and ASTM journal Materials Processing and Characterization and previously served on the editorial board of Composites Part B and Advanced Composites and Hybrid Materials.

The imaging methods consist of visual and thermal monitoring techniques, such as optical cameras, infrared (IR) cameras, and X-ray imaging. The data is abundant as numerous studies have been conducted proving the reliability of imaging methods in monitoring the printing process and build area, as well as detecting defects.

Acoustic methods rely on acoustic sensing technologies and signal processing methods to acquire and analyze acoustic signals, respectively. Raw acoustic emission signals can correlate to particular defect mechanisms using methods of feature extraction. In their review, Gupta and AbouelNour discuss processing, representation and analysis of the acquired in-situ data from both imaging and acoustic methods. They also introduce ex-situ testing techniques as methods for verification of results gained from in-situ monitoring data.

Extensive use of sensors, computers and software tools in product design and manufacturing requires traditional manufacturing education to evolve for the new generation of cyber-manufacturing systems. While universities will continue to provide education to build a fundamental knowledge base for their students, the widening gap between the education delivered and the skills required by industry needs innovative solutions to prepare the workforce for future generations of manufacturing.

The New York City Future Manufacturing Collective (NYC-FMC) will develop a network of multidisciplinary researchers, educators, and stakeholders in New York City to explore future cyber manufacturing research through the lens of the worker's relationship to an increasingly complex and technologically driven environment and set of processes. The NYC-FMC will advance related technologies as well as the underlying systems, processes, and organizational conditions to which these interfaces are connected, to change and drive the roles of people in manufacturing.

NYC-FMC will organize a variety of activities, including an internship program for students to obtain exposure to industrial environments by engaging major manufacturing based corporations, producing a newsletter to define the state-of-the-art in manufacturing technologies and the new manufacturing ecosystem, and organizing two manufacturing-focused symposia each year. The program will build a coalition of multidisciplinary faculty from NYC universities, industry executives and technologists, investors, entrepreneurs, public sector and other relevant manufacturing ecosystem participants.

This survey was led by Nikhil Gupta, professor mechanical and aerospace engineering and a member of the NYU Center for Cybersecurity; and Ramesh Karri, professor of electrical and computer engineering and co-founder and co-Chair of the NYU Center for Cybersecurity.

The Industry 4.0 concept promotes a digital manufacturing (DM) paradigm that can enhance quality and productivity, which reduces inventory and the lead time for delivering custom, batch-of-one products based on achieving convergence of additive, subtractive, and hybrid manufacturing machines, automation and robotic systems, sensors, com- puting, and communication networks, artificial intelligence, and big data. A DM system consists of embedded electronics, sensors, actuators, control software, and interconnectivity to enable the machines and the components within them to exchange data with other machines, components therein, the plant operators, the inventory managers, and customers.

Digitalization of manufacturing aided by advances in sensors, artificial intelligence, robotics, and networking technology is revolutionizing the traditional manufacturing industry by rethinking manufacturing as a service.

Concurrently, there is a shift in demand from high-volume manufacturing to batches-of-one, custom manufacturing of products. While the large manufacturing enterprises can reallocate resources and transform themselves to seize these opportunities, the medium-scale enterprises (MSEs) and small-scale enterprises with limited resources need to become federated and proactively deal with digitalization. Many MSEs essentially consist of general-purpose machines that give them the flexibility to execute a variety of process plans and workflows to create one-off products with complex shapes, textures, properties, and functionalities. One way the MSEs can stay relevant in the next-generation digital manufacturing (DM) environment is to become fully interconnected with other MSEs by using the digital thread and becoming part of a larger, cyber-manufacturing business network. This allows the MSEs to make their resources visible to the market and continue to serve as suppliers to OEMs and other parts of the manufacturing supply networks.

This article, whose authors include researchers from NYU Tandon and Texas A&M, explores the cybersecurity risks in the emerging DM context, assesses the impact on manufacturing, and identifies approaches to secure DM. It resents a hybrid-manufacturing cell, a building block of DM, and uses it to discuss vulnerabilities; discusses a taxonomy of threats for DM; explores attack case studies; surveys existing taxonomies in DM systems; and demonstrates how novel manufacturing-unique defenses can mitigate the attacks.

Nikhil Gupta, professor of mechanical and aerospace engineering is principal investigator on this project with Kurt Becker professor of applied physics and Vice Dean of Research Innovation, and Entrepreneurship; and Justin Hendrix, executive director of the NYC Media Lab at NYU Tandon.

Extensive use of sensors, computers and software tools in product design and manufacturing requires traditional manufacturing education to evolve for the new generation of cyber-manufacturing systems. However, with a widening gap between today's education and training curricula and the actual skills required by industry, innovative solutions are needed to prepare the workforce for the evolution of manufacturing.

The network will rely on faculty leadership at NYU and Columbia University, as well as a broad network of researchers from other NYC institutions, in the areas of manufacturing, computer vision, robotics, machine learning, virtual and augmented reality, human behavior and cognition, economics and other relevant areas. Executives and technologists from industry, including large manufacturing concerns with a connection to the greater NYC region and beyond and startup companies in the Brooklyn Navy Yard's New Lab, will provide stimulus from the private sector and help create conditions to advance education and research goals. This coalition will build a novel education and workforce training program framework to create a learning and feedback loop between researchers, industry partners, and the workforce focused on the future cyber-manufacturing systems.

Today, electrical engineering has applications in every aspect of our daily lives. Electrical engineers are responsible for creating a wide range of devices that are used regularly, such as mobile computing systems, semiconductor chips, wind, solar and fusion power generators, robotic actuators, MRI machines, X-ray scanners, electric vehicles, and avionics. They also work on developing the algorithms that enable these machines to function according to our needs. As an electrical engineering major, you will learn the fundamental principles behind the operation of these devices and systems. You will gain the skills to analyze and design them, as well as improve upon existing technology throughout your career. You can also specialize in emerging technologies like artificial intelligence, machine learning, and data science, and earn a named option on your transcript.