Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method

Chang, Yeong‐Hwa; Chiu, Min‐Chie; Xie, Ji-Lin

doi:10.1515/aoa-2017-0021

Cited by 3 publications

(1 citation statement)

References 7 publications

(5 reference statements)

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“…Chang et al adopted COMSOL multiphysics (COMSOL), a finite element analysis software, to facilitate the shape optimization of the muffler; a polynomial neural network model was adopted to serve as an objective function. Additionally, a genetic algorithm (GA) is linked to the objective (OBJ) function to realize noise reduction [5]. Wang et al treat the valve as a whole and optimize it globally, based on the axiomatic design (AD) theory, to reduce the coupling of the design parameters and simplify the design process [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

Jiang

Zhou

Wang

et al. 2020

Mathematical Problems in Engineering

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The capacity control system of reciprocating compressor has great significance for the contribution of energy conservation and emission reduction. The parameters of the actuator and hydraulic system within a reciprocating compressor stepless capacity control system play a decisive role in its control accuracy, mechanical reliability, and mechanical security. The actuators and hydraulic system parameters of the same stage are in conflict with each other. Therefore, the actuator and the multistage reciprocating compressor are studied here, specifically through multiobjective optimization using the Nondominated Sorting Genetic Algorithm (NSGA)-II. The multiobjective optimization design was performed on a two-dimensional (2D) reciprocating compressor test bench. When the spring stiffness of the first stage spring was 27358 N m−1, the spring stiffness of the second stage spring was 23315 N m−1, the inlet oil pressure was 296.62 N, the impact velocity of ejection was 0.4215 m s−1, and the total indicated power deviation was 12.05 kW; the objective functions were optimized. Compared with traditional parameters, the inlet oil pressure, spring stiffness, and impact velocity were all reduced. This parameter optimization design lays the foundations for global optimization designs for stepless capacity control systems.

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Section: Introductionmentioning

confidence: 99%

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

Jiang

Zhou

Wang

et al. 2020

Mathematical Problems in Engineering

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Acoustical Analysis of Circular Straight Mufflers with Bias Inlet/outlet Ducts

Chiu

Cheng

Chang

et al. 2020

J. Phys.: Conf. Ser.

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In order to overcome the drawback of the accuracy for the Plane wave theory in the muffler’s acoustical calculation in the region of higher frequencies, we use a theoretical analysis of eigen function in conjunction with a four-pole system matrix to evaluate the TL of a circular straight muffler with bias inlet/outlet duct. With this method, the acoustical calculation can be speeded up comparing to traditional simulation of FEM and BEM method. Consequently, results reveal that the bias effect will tremendously influence the acoustical performance of the muffler.

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Optimizing the shape of space-constrained silencers composed of multiple straight/reverse chambers using the simulated annealing method

Chiu,

Cheng,

Wang

2024

Journal of Mechanics

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To address the issue of hearing health problems caused by the broadband noise emitted from space-constrained marine diesel engines on a ship, an efficient silencer equipped at the engine's venting outlet is necessary. In consideration of the space-constrained situation that often occurs in ships, a reverse silencer with multiple chambers is introduced. A mathematical model of eigenfunction is adopted to consider the acoustic effect in high frequencies. An optimization of the silencer will be performed using the acoustic model of an eigenfunction together with the Simulated Annealing (SA) method under space-constrained conditions to achieve the best design. To pursue an efficient silencer design, two types of reverse silencers (Silencers A and B) are adopted to reduce the engine's venting noise. Acoustical models for straight chamber and reverse chamber silencers are checked before optimization. To assure the reliability of the SA scheme, a pure tone optimization at 250 Hz is exemplified. Results in silencers A and B show that the Sound Transmission Loss is approximately maximized at the desired frequency. Thereafter, a broadband noise elimination of engine noise using silencers A and B is performed. Simulated results show that overall noise abatement can be improved when the number of inverse chambers increases. The optimization of space-constrained reverse silencers with multiple chambers using eigenfunction in cooperation with Simulated Annealing (SA) has been accomplished. The overall silencer system's four-pole matrix is used to predict the silencer's acoustical performance of STL, which is achieved by multiplying individual four-pole matrices. With the introduction of the reverse silencer, the hearing health of workers can be protected, and noise pollution can be reduced in industrial settings.

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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method

Cited by 3 publications

References 7 publications

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

Optimization Design of Actuator Parameters in Multistage Reciprocating Compressor Stepless Capacity Control System Based on NSGA-II

Acoustical Analysis of Circular Straight Mufflers with Bias Inlet/outlet Ducts

Optimizing the shape of space-constrained silencers composed of multiple straight/reverse chambers using the simulated annealing method

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