122 research outputs found
The Exergy Fields in Processes
This paper is a very brief review of the method for analyzing the space and time dependent exergy and irreversibility fields in processes. It presents the basic equations, the method for their use, and three examples from the work of the author and his former graduate students: flow desiccation, combustion of oil droplets, and combustion of pulverized coal. Conclusions from this Second Law analysis are used to attempt process improvement suggestions
Product Sets of Arithmetic Progressions in Function Fields
We study product sets of finite arithmetic progressions of polynomials over a
finite field. We prove a lower bound for the size of the product set, uniform
in a wide range of parameters. We apply our results to resolve the function
field variants of Erd\H{o}s' multiplication table problem.Comment: We expanded the Literature on Theorem 2.2 and Theorem 2.5 + plus
minor revision
Evaluation of Some Thermal Power Cycles for Use in Space
Production of power in space for terrestrial use is of great interest in view of the rapidly rising power demand and its environmental impacts. Space also offers a very low temperature, making it a perfect heat sink for power plants, thus offering much higher efficiencies. This paper focuses on the evaluation and analysis of thermal Brayton, Ericsson and Rankine power cycles operating at space conditions on several appropriate working fluids. 1. Under the examined conditions, the thermal efficiency of Brayton cycles reaches 63%, Ericsson 74%, and Rankine 85%. These efficiencies are significantly higher than those for the computed or real terrestrial cycles: by up to 45% for the Brayton, and 17% for the Ericsson; remarkably 44% for the Rankine cycle even when compared with the best terrestrial combined cycles. From the considered working fluids, the diatomic gases (N2 and H2) produce somewhat better efficiencies than the monatomic ones in the Brayton and Rankine cycles, and somewhat lower efficiencies in the Ericsson cycle. The Rankine cycles require radiator areas that are larger by up to two orders of magnitude than those required for the Brayton and Ericsson cycles. The results of the analysis of the sensitivity of the cycle performance parameters to major parameters such as turbine inlet temperature and pressure ratio are presented, and the effects of the working fluid properties on cycle efficiency and on the power production per unit radiator area were explored to allow decisions on the optimal choice of working fluids
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching
This paper presents DiffMoog - a differentiable modular synthesizer with a
comprehensive set of modules typically found in commercial instruments. Being
differentiable, it allows integration into neural networks, enabling automated
sound matching, to replicate a given audio input. Notably, DiffMoog facilitates
modulation capabilities (FM/AM), low-frequency oscillators (LFOs), filters,
envelope shapers, and the ability for users to create custom signal chains. We
introduce an open-source platform that comprises DiffMoog and an end-to-end
sound matching framework. This framework utilizes a novel signal-chain loss and
an encoder network that self-programs its outputs to predict DiffMoogs
parameters based on the user-defined modular architecture. Moreover, we provide
insights and lessons learned towards sound matching using differentiable
synthesis. Combining robust sound capabilities with a holistic platform,
DiffMoog stands as a premier asset for expediting research in audio synthesis
and machine learning.Comment: 5 pages, 7 figures, 1 table, Our code is released at
https://github.com/aisynth/diffmoo
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