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Droplets diameter distribution using maximum entropy formulation combined with a new energy-based sub-model 被引量:2
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作者 Seyed Mostafa Hosseinalipour Hadiseh Karimaei Ehsan Movahednejad 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2016年第11期1625-1630,共6页
The maximum entropy principle(MEP) is one of the first methods which have been used to predict droplet size and velocity distributions of liquid sprays. This method needs a mean droplets diameter as an input to predic... The maximum entropy principle(MEP) is one of the first methods which have been used to predict droplet size and velocity distributions of liquid sprays. This method needs a mean droplets diameter as an input to predict the droplet size distribution. This paper presents a new sub-model based on the deterministic aspects of liquid atomization process independent of the experimental data to provide the mean droplets diameter for using in the maximum entropy formulation(MEF). For this purpose, a theoretical model based on the approach of energy conservation law entitled energy-based model(EBM) is presented. Based on this approach, atomization occurs due to the kinetic energy loss. Prediction of the combined model(MEF/EBM) is in good agreement with the available experimental data. The energy-based model can be used as a fast and reliable enough model to obtain a good estimation of the mean droplets diameter of a spray and the combined model(MEF/EBM) can be used to well predict the droplet size distribution at the primary breakup. 展开更多
关键词 Mean droplets diameter Energy conservation Maximum entropy formulation (MEF) Size distribution Statistical thermodynamics mathematical modeling
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A CONTRIBUTION TO THE SCIENTIFIC FOUNDATIONS OF SYSTEMS ENGINEERING: SOLUTION SPACES AND REQUIREMENTS
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作者 Alejandro Salado Roshanak Nilchiani Dinesh Verma 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2017年第5期549-589,共41页
Some researchers have suggested that scientific foundations expressed in a mathematical form are needed to thrust the success of systems engineering as a discipline on its own merit. In order to contribute the develop... Some researchers have suggested that scientific foundations expressed in a mathematical form are needed to thrust the success of systems engineering as a discipline on its own merit. In order to contribute the development of such systems science, this paper investigates from a foundational standpoint the relationships between stakeholder needs, system requirements, and sets of systems. Various theorems and corollaries are proposed and mathematically proven. The theoretical elements are presented as a foundation for the development of a science for requirements engineering. The proposed foundations are finally tested to mathematically describe, in a rigorous and precise manner, qualities of good requirements, which are otherwise traditionally defined using vague narrative. By showcasing practical examples of the theoretical aspects, the paper is intended to serve as a bridge between practitioners and theorists. 展开更多
关键词 Systems science systems theory requirements engineering mathematical formulation requirements qualities formal concepts
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