PriMera Scientific Engineering (ISSN: 2834-2550) - Article In Press

One crucial aspect of systems engineering is the critical interplay between humans and technology. My recent research, titled "Management of Operational Usability Requirements: The Key to Saving Resources and Good Performance of Military Materials," underscores this point. While this research focuses on the Brazilian Army, its findings and recommendations have broader implications for the development of complex systems across various engineering disciplines.

China’s aluminum reduction industry faces strict energy consumption and environmental protection challenges. In response, an enterprise upgraded and optimized its 330 kA aluminum reduction cell, initially commissioned years ago. By analyzing issues related to magnetic field distribution, cathode structure, lining design, and upper cell structure, they proposed several enhancement measurements. Using new technologies to optimize the busbar magnetic field significantly improved the magnetohydrodynamic stability of the cells. The introduction of graphitized cathode blocks reduced cathode voltage drop and horizontal current in the aluminum liquid. Additionally, improvements in the cell lining insulation and gas collection efficiency of cell upper structure were made. The upgraded cell line now operates at a higher current and have significantly lower energy consumption, with a reduction of about 692 kWh per ton of aluminum. This results in an annual energy savings of approximately 187 million kWh and an increase in aluminum production by about 20,000 tons.

Keywords: aluminum reduction cell; cell lining; busbar magnetic field; cell upper structure; cell control system; energy conservation and consumption reduction; upgrade and optimization

The U.S. Federal Government is currently engaged in multiple major modernization initiatives. Cloud computing is largely implemented across the federal government, but artificial intelligence (machine learning), cybersecurity, and quantum computing are all competing for resources and management attention. Artificial intelligence adoption is further along than quantum computing and can serve as a framework for predicting and preventing quantum adoption issues. This paper provides an analysis of the federal government’s implementation history for the four major technology areas. It outlines an approach for leveraging artificial intelligence adoption in the federal government to help predict quantum adoption challenges, including the creation of a time series analysis to leverage the Federal Government’s AI investment, progress, and challenges to help predict federal quantum adoption challenges.

Keywords: quantum; quantum computing; quantum computing adoption; artificial intelligence; machine learning; cybersecurity; enterprise modernization; federal adoption