scholarly journals Plasma Production and Ion Acceleration Process Study and Performance Prediction of Hall Thrusters Using Simple One-Dimensional Flowfield Calculation

2004 ◽  
Vol 52 (608) ◽  
pp. 408-415 ◽  
Author(s):  
Hirokazu Tahara ◽  
Seiro Yuge ◽  
Atsushi Shirasaki ◽  
Manuel Martinez-Sanchez
Keyword(s):  
Performance Prediction ◽  
Ion Acceleration ◽  
Acceleration Process ◽  
Hall Thrusters ◽  
Plasma Production ◽  
One Dimensional ◽  
Process Study ◽  
And Performance

Aerodynamic Performance Prediction of Transonic Axial Multistage Compressors Based on One-Dimensional Meanline Method

2020 ◽  
Author(s):  
Yingying Zhang ◽  
Shijie Zhang ◽  
Yunhan Xiao
Keyword(s):  
Performance Prediction ◽  
Pressure Rise ◽  
Direct Calculation ◽  
One Dimensional ◽  
Axial Compressors ◽  
Surge Margin ◽  
Multistage Compressors ◽  
Aerodynamic Parameters ◽  
And Performance ◽  
The One

Abstract The one-dimensional meanline method is of great importance for the design and performance prediction of multistage axial compressors. The models adopted in it, such as incidence, deviation and loss, considering real-fluid effects, determine whether the compressors’ operating behavior can be simulated accurately or not. This paper describes an improved meanline stage-stacking approach for the modelling of modern transonic axial multistage compressors. The improvement embodied in this study is mainly focused on deviation and surge margin prediction, which is the result of a combination of the previous models and models’ correction. One of the coefficients in the deviation angle model is corrected. A new surge model, different from the well-known maximum static pressure rise method of Koch and Smith, is introduced into this program and its advantage lies in higher accuracy and direct calculation instead of proposing a judgment criterion. Three well-documented NASA axial transonic compressors are calculated by this meanline method, and the speedlines and aerodynamic parameters are compared with the experimental data to verify the method presented in this paper. A discussion of the result then follows.

Experimental and computer aided solubility quantification of diverse lignins and performance prediction

2021 ◽  
Vol 57 (14) ◽  
pp. 1782-1785
Author(s):  
Olumoye Ajao ◽  
Marzouk Benali ◽  
Naïma El Mehdi
Keyword(s):  
Performance Prediction ◽  
Solvent Fractionation ◽  
Computer Aided ◽  
And Performance

New insights on the variability of solubility elucidated for diverse lignins, quantification thereby makes it possible to predict performance for solvent fractionation processes and polymers formulation.

scholarly journals Different Reasons for Different Responses: A Review of Incumbents’ Adaptation in Carbon-Intensive Industries

2020 ◽  
pp. 108602661989399 ◽  
Author(s):  
Franziska Sump ◽  
Sangyoon Yi
Keyword(s):  
Carbon Emissions ◽  
Organizational Adaptation ◽  
Three Dimensions ◽  
External Shocks ◽  
Review Of The Literature ◽  
Organizational Responses ◽  
Environmental Pressure ◽  
One Dimensional ◽  
And Performance ◽  
Performance Heterogeneity

Organizations often respond in different ways to common external shocks. To advance theories on organizational adaptation and performance heterogeneity, it is essential to understand different reasons for different organizational responses. We examine how incumbents in carbon-intensive industries adapt to heightened environmental pressure to reduce carbon emissions. Based on a review of the literature, we propose three dimensions along which diverse organizational responses can be efficiently mapped out: goal, timing, and scope. Building on our proposed dimensions, we develop a typology of five different organizational responses. With this, we show that organizational responses are more diverse than a one-dimensional scale could show but that the heterogeneity is somehow limited as the positions on the dimensions are not independent but correlated. To understand this observed limited heterogeneity, we proceed by identifying reasons behind different organizational responses. Furthermore, we discuss the theoretical implications of our findings for research on organizational adaptation and sustainability.

Performance Prediction for Automotive Turbocharger Compressors

1975 ◽  
Vol 189 (1) ◽  
pp. 557-565 ◽  
Author(s):  
A. Whitfield ◽  
F. J. Wallace
Keyword(s):  
Performance Prediction ◽  
Flow Analysis ◽  
Compressor Stage ◽  
Thermodynamic Models ◽  
Flow Rates ◽  
Design Point ◽  
One Dimensional ◽  
Dimensional Flow ◽  
Performance Map ◽  
The Individual

A procedure to predict the complete performance map of turbocharger centrifugal compressors is presented. This is based on a one-dimensional flow analysis using existing published loss correlations that were available and thermodynamic models to describe the incidence loss and slip factor variation at flow rates which differ from the design point. To predict the losses within the complete compressor stage using a one-dimensional flow procedure, it is necessary to introduce a number of empirical parameters. The uncertainty associated with these empirical parameters is assessed by studying the effect of varying them upon the individual losses and upon the overall predicted performance.

Sign in / Sign up

Export Citation Format

Share Document