scholarly journals Mathematical modeling and simulation of a reed valve reciprocating air compressor

2009 ◽  
Vol 13 (3) ◽  
pp. 47-58 ◽  
Author(s):  
Nagarajan Govindan ◽  
Venkatesan Jayaraman ◽  
Retteripatti Venkatasamy ◽  
Murugan Ramasamy

Mathematical modeling is the process of designing a model of a real system and conducting experiments with it for the purpose of understanding the behavior of the system. Mathematical simulation is widely used for investigating and designing the compressors. Investigations of the processes of reciprocating compressors using mathematical models is an effective tool by high development of computing technique, which enables complicated problems to be solved with a minimal number of simplifying assumptions. A considerable number of previous works has been done on the mathematical modeling and simulation. The aim of the present work is to construct a model which is easy to understand, easy to detect errors in the process of building a model, and easy to compute a solution. This paper presents a simplified and effective mathematical model for the estimation of reciprocating compressor performance using personal computers that can be easily handled. The effect of operating parameters, speed and discharge pressure on thermodynamic behavior of compressor in working condition has been analyzed. The model has been developed for obtaining cylinder pressure, cylinder volume, cylinder temperature, valve lift and resultant torque at different crank angles and free air delivered and indicated power of the compressor. The model has been validated using experimental results.

Author(s):  
J. Venkatesan ◽  
S. Kumar ◽  
V. Anandram ◽  
S. Saikishan ◽  
J. Vijaymanikandan

Mathematical modeling is the process of designing a model of a real system and conducting experiments with it for the purpose of understanding the behaviour of the system. Mathematical simulation is widely used for investigating and designing the compressors. Investigations of the processes of reciprocating compressors using mathematical models is an effective tool by high development of computing technique, which enables complicated problems to be solved with a minimal number of simplifying assumptions. A considerable number of previous works has been done on the mathematical modeling and simulation. The aims of the present work are to construct a model which is easy to understand, easy to detect errors in the process of building a model and easy to compute a solution. This project presents a simplified and effective mathematical model for the estimation of reciprocating compressor performance using personal computers that can be easily handled. The effect of various physical parameters, like, clearance volume, cylinder diameter, connecting rod length, crank radius, valve lift and other dimensions, etc., and operating parameters, like, discharge pressure, compressor speed, etc., on thermodynamic behaviour of compressor in working condition has been analysed. The model has been developed for obtaining cylinder pressure, cylinder volume, cylinder temperature, valve lift and resultant torque at different crank angles and free air delivered and indicated power of the compressor.


2020 ◽  
Vol 16 (4) ◽  
pp. 135-170
Author(s):  
Eva Gupta ◽  
Nand Jee Kanu ◽  
Amartya Munot ◽  
Venkateshwara Sutar ◽  
Umesh Kumar Vates ◽  
...  

1999 ◽  
Author(s):  
David M. Paulus ◽  
Richard A. Gaggioli ◽  
William R. Dunbar

Abstract It is proposed that consideration be given to an alternative, streamlined manner for mathematical modeling of the performance of energy conversion and transfer equipment. We make the case, here, by application to compressors. It is advocated that, instead of using an expression for efficiency as one of the governing equations, performance can be accounted for directly, with entropy production. It is shown that (1) the modeling is more straightforward, using fewer relations, and (2) that compressor performance (e.g. maps) can be represented equally well.


2021 ◽  
pp. 110870
Author(s):  
Mauricio M. Coletto ◽  
J. Alberto Bandoni ◽  
Aníbal M. Blanco

Sign in / Sign up

Export Citation Format

Share Document