The main ideas explained in previous papers presented to RTESE´20 [1], [2], on gasoline Combustion Optimization by Magnetic Action (COBMA) are complemented and reinforced in this paper.Not aimed at gasoline consumption saving but, to reducing air pollution suitably and mitigating CO2 emissions in an effective way, COBMA emerges as an option for a global response to face the Climate-Change threat.Previously a context characterized by natural evolution of the earth´s atmosphere, chemical and thermodynamic processes, among others, and their interaction, according to natural laws strictly fulfilled to keep the atmosphere balanced is described.Then, theoretical fundamentals to design a magnetic minimizer are explained; In gasoline, a non-polar fluid, changes due to direct magnetic action cannot be explained by Classical Physics theory.These changes belong to the reign of Quantum Physics which allows us to understand the observables rationale of phenomena characterized by microscopic quantities.It is the case of a hydrogen atom exposed to a uniform external magnetic field, interacting with atom´s fine and hyperfine structures, splitting its energy levels through what is known as Zeeman Effect.These alterations allow to obtain the energies of the transitions when its energy levels change.The evaluation of the transitions maximum energy allows to find the maximum energy change per hydrogen atom and total maximum energy provided to hydrogen atoms in the volume of fuel comprised between a couple of permanent Neodymium Magnets.Using concepts and laws of Physics as well as General Chemistry; considering the isooctane molecule representative of a gasoline molecule, calculation of the magnetic field induction B, between the magnets, design variable, can be performed.Finally, CO2 emissions reductions from a Hyundai and a Renault car using COBMA are compared and analysed, to conclude that emissions tests are indispensable when designing a Magnetic Efficient Balanced (MEB) minimizer is required.
Tópico:
Air Quality Monitoring and Forecasting
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FuenteProceedings of the International Conference of Recent Trends in Environmental Science and Engineering