Hydro-pulse compressor, working process and characteristics

Author(s):  
Evgeni K. Spiridonov ◽  
Ahmed Hasan Ali
2021 ◽  
Vol 13 (2) ◽  
pp. 973
Author(s):  
Gigel Paraschiv ◽  
Georgiana Moiceanu ◽  
Gheorghe Voicu ◽  
Mihai Chitoiu ◽  
Petru Cardei ◽  
...  

Our paper presents the hammer mill working process optimization problem destined for milling energetic biomass (MiscanthusGiganteus and Salix Viminalis). For the study, functional and constructive parameters of the hammer mill were taken into consideration in order to reduce the specific energy consumption. The energy consumption dependency on the mill rotor spinning frequency and on the sieve orifices in use, as well as on the material feeding flow, in correlation with the vegetal biomass milling degree was the focus of the analysis. For obtaining this the hammer mill was successively equipped with 4 different types of hammers that grind the energetic biomass, which had a certain humidity content and an initial degree of reduction ratio of the material. In order to start the optimization process of hammer mill working process, 12 parameters were defined. The objective functions which minimize hammer mill energy consumption and maximize the milled material percentage with a certain specific granulation were established. The results obtained can serve as the basis for choosing the optimal working, constructive, and functional parameters of hammer mills in this field, and for a better design of future hammer mills.


2014 ◽  
Vol 596 ◽  
pp. 384-387
Author(s):  
Ge Liu ◽  
Hai Bing Zhang

This paper introduces the concept of Voice Assistant, the voice recognition service providers, several typical Voice Assistant product, and then the basic working process of the Voice Assistant is described in detail and proposed the technical bottleneck problems in the development of Voice Assistant software.


2006 ◽  
Vol 8 (2) ◽  
pp. 229-233
Author(s):  
Su Jiancang ◽  
Sun Jian ◽  
Liu Guozhi ◽  
Liu Chunliang ◽  
Ding Zhenjie

2008 ◽  
Vol 07 (01) ◽  
pp. 51-54 ◽  
Author(s):  
HUI-XIA LIU ◽  
WEI WEI ◽  
XIAO WANG ◽  
LAN CAI

A knowledge-based intelligent die design system for automotive panels is developed by UG software platform. This system can accomplish design intelligently and automatically through engineering rules in the knowledge base. The framework and implementation of the system are discussed. Finally, a case study of the panel die design of car trunk in the system is implemented, which illustrates working process, working principle, implement method and practicability of the system, and validates the advanced design conception proposed in this paper.


2013 ◽  
Vol 419 ◽  
pp. 701-705
Author(s):  
Ying Shi Guo ◽  
Chang Wang

In order to analysis the temperature rising rules of vehicle, road conditions and vehicle running state were considered. Process of friction heat generation, radiation heat and convection current exchange during drum brake working process was researched, and temperature rising model of drum brake was established. Under the guidance of similarity theory and dimension analysis theory, convection current heat exchange test of drum brake was carried out, and the solution equation of convection current heat exchange was obtained. Real road test results shows that the temperature rising curves between calculations and test are basically identical and the maximum inaccuracy variables approximately 20%.


2013 ◽  
Vol 373-375 ◽  
pp. 1638-1643
Author(s):  
Jian Yu Huang ◽  
Qi Sheng Zhang ◽  
Sheng Quan Zhang

A new Power over Ethernet (PoE) proprietary specification known as LTPoE++ and its solution for high power PoE system is introduced. A 90W single port high power PoE system based on the LTPoE++ solution using power sourcing equipment (PSE) controller LTC4274A-4 and powered device (PD) controller LT4275A produced by Linear Technology is illustrated, including overall structure, features, hardware frames, functions and their implementation. Finally working process of the system is analyzed.


1985 ◽  
Vol 32 (5) ◽  
pp. 2709-2711 ◽  
Author(s):  
Yu. P. Severgin ◽  
I. A. Shukeilo

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