A New Hybrid Reciprocating Compressor Model Coupled with Acoustic FEM Characterization and Gas Dynamics

Abstract

Accurate comprehension of thermodynamic demeanor and pressure pulsation propagation is of great attractiveness in a reciprocating compressor system. To consider the reciprocal interaction between compressor and pipelines, a hybrid numerical model is thus built by coupling the in-cylinder lumped parameter approach, in-pipe 1D gas dynamics and 3D acoustic characteristics of chambers. The transmission and reflection coefficients of a geometrically complex chamber are achieved by the definition of an acoustic characterization method based on acoustic FEM simulation data, with a high level of accuracy. Numerical results of this new hybrid model are compared with predictions from the traditional hybrid model with in-pipe 1D gas dynamics, together with experimental data. Through comparison analysis, the advantages are highlighted in using the acoustic FEM characterization for complex elements since the new model performs numerical solution without introducing any simplifications to the geometry of fluid domain.

Investigation on recognition method of acoustic emission signal of the compressor valve based on CNN and LSTM network

“…There are many vulnerable parts during the process of operation, which makes the condition monitoring and fault diagnosis of the reciprocating compressor very difficult [1,2]. In particular, the failure of the valve is the main reason for the unplanned shutdown of reciprocating compressors [3,4]. Therefore, it is urgent to develop the fault diagnosis technology of the valve.…”

Quantitative Evaluation on Valve Leakage of Reciprocating Compressor Using System Characteristic Diagnosis Method

“…The model-based FDM creates a mathematical model of the RC system or fault characteristics. The thermodynamic model [12], FSI model [13], and hybrid numerical model [14,15] of the RC have been studied, and successively established a variety of mechanism model of the RC system fault. However, the establishment of RC system model requires very complex calculation and profound theoretical knowledge, which is difficult for most researchers.…”