scholarly journals STIRLING ENGINE PERFORMANCE PREDICTION USING SCHMIDT ANALYSIS BY CONSIDERING DIFFERENT LOSSES

2013 ◽  
Vol 02 (08) ◽  
pp. 433-441
Author(s):  
Rakesh K. Bumataria .
Keyword(s):  
Performance Prediction ◽  
Engine Performance ◽  
Stirling Engine

Effects of the regenerator on engine performance of a rhombic drive beta type stirling engine

2021 ◽  
pp. 1-9
Author(s):  
Fatih Aksoy ◽  
Hamit Solmaz ◽  
Muhammed Arslan ◽  
Emre Yılmaz ◽  
Duygu İpci ◽  
...  
Keyword(s):  
Engine Performance ◽  
Stirling Engine

Optimization of Stirling Engine Performance Based on Multipoint Approximation Technique

1994 ◽  
Author(s):  
Vassili V. Toropov ◽  
Henrik Carlsen
Keyword(s):  
Computing Time ◽  
Engine Performance ◽  
Stirling Engine ◽  
Optimization Techniques ◽  
Approximation Technique ◽  
Working Cycle ◽  
Design Variables ◽  
Stirling Engines ◽  
Multipoint Approximation ◽  
Conventional Optimization

Abstract The ideal Stirling working cycle has the maximum obtainable efficiency defined by Carnot efficiency, and highly efficient Stirling engines can therefore be built, if designed properly. To analyse the power output and the efficiency of a Stirling engine, numerical simulation programs (NSP) have been developed, which solve the thermodynamic equations. In order to find optimum values of design variables, numerical optimization techniques can be used (Bartczak and Carlsen, 1991). To describe the engine realistically, it is necessary to consider several tens of design variables. As even a single call for NSP requires considerable computing time, it would be too time consuming to use conventional optimization techniques, which require a very large number of calls for NSP. Furthermore, objective and constraint functions of the optimization problem present some level of noise, i.e. can only be estimated with a finite accuracy. To cope with these problems, the multipoint explicit approximation technique is used.

The Evolution of Diesel Engine Performance Prediction

2014 ◽  
Author(s):  
Roy J. Primus
Keyword(s):  
Performance Prediction ◽  
Engine Performance ◽  
Thermodynamic System ◽  
Computer Hardware ◽  
Modeling Tools ◽  
Modeling Techniques ◽  
Analytical Tools ◽  
Physical Phenomena ◽  
Engine Development ◽  
Limited Scope

Thermodynamic system performance modeling has become an integral part of the engine development process. The modeling tools used for this type of analysis have evolved from fairly simple calculations of limited scope into detailed simulations with ever-increasing complexity. These analytical tools are based on the combination of basic concepts, physical phenomena and experimental correlations. As with other categories of analysis, their evolution has also been closely coupled with the advances in computer technology. This document provides a historic view of thermodynamic system simulation and revisits some of the developments in modeling techniques, engine measurements, data acquisition systems and computer hardware that have contributed to the understanding of engine performance prediction.

A14 Study on SOFC-Stirling Engine Combined System : Analysis of Engine Performance

2005 ◽  
Vol 2005.9 (0) ◽  
pp. 43-46
Author(s):  
Sanyo Takahashi ◽  
Yasuyuki Kaneko ◽  
Eiichi Shinoyama ◽  
Hiroshi Sekiya ◽  
Iwao YAMASHITA
Keyword(s):  
System Analysis ◽  
Engine Performance ◽  
Stirling Engine ◽  
Combined System

A01 Effects of Bypass Tube on a Single Piston Type Stirling Engine Performance

2009 ◽  
Vol 2009.12 (0) ◽  
pp. 7-8
Author(s):  
Shinji OKAMOTO ◽  
Hiroaki FUTAGI ◽  
Kazuhiro HAMAGUCHI
Keyword(s):  
Engine Performance ◽  
Stirling Engine
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