Research on structural parameter optimization and thermal performance of twin-screw expander

Zhang, Chenghu; Gao, Jiahao; Jie, Fu; Li, Yaping; Lin, Jiyou

doi:10.1093/ijlct/ctz026

Cited by 5 publications

(3 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some graphic technologies are also applied to generate profiles of rotors and grinding wheels, such as edge detection method [25,26] and pixel solution [27]. Recently, more work is focused on the optimization of the existing profiles for different applications and operating conditions based on geometric characteristics [28] or comprehensive thermodynamic simulation [29,30]. To simplify the optimization process, Hauser and Brümmer [31] proposed a method of profile optimization purely via evaluating gap conditions of TSCs instead of the thermodynamic performance.…”

Section: Profile and Geometric Characteristicsmentioning

confidence: 99%

A Review of Recent Research and Application Progress in Screw Machines

Wang

Liu

et al. 2022

Machines

View full text Add to dashboard Cite

Screw machines, mainly including single-screw type and twin-screw type, have gone through significant development and improvement during the past decade. This paper reviews the relevant studies available in the open literature for acquiring insight into and to establish the state of the art of the research and application status of screw machines. The related research on different aspects, which would affect the performance and reliability of screw machines includes rotor profile and geometric characteristics, thermodynamic modelling, vibration and noise, lubrication and wear, control of capacity and built-in volume ratio, and liquid injection technology. In the aspect of thermodynamic modelling, the available methods, i.e., empirical or semi-empirical model, lump model, and 3D CFD model, adopted for the performance prediction and optimal design of screw machines are summarized. Then, the review covers the application status of screw machines in the fields of air compression and expansion, refrigeration and heat pump, organic Rankine cycle (ORC), and other popular applications, with an emphasis on the reported performance and progress in technologies of screw machines. Finally, conclusions and perspectives for future research in the area of screw machines are presented. The review provides readers with a good understanding of the research focus and progress in the field of screw machines.

show abstract

Section: Profile and Geometric Characteristicsmentioning

confidence: 99%

A Review of Recent Research and Application Progress in Screw Machines

Wang

Liu

et al. 2022

Machines

View full text Add to dashboard Cite

show abstract

“…On the other hand, Herlemann et al (2014) highlight the use of a chamber model generator and simulation tool for the optimisation of rotor profiles with the same number of lobe combinations to minimize the energy costs that can be validated experimentally [9]. Last but not least, Zhang et al (2019) show the structural parameter optimisation of the twin-screw expander and the influence of geometrical parameters on the thermal performance of the machine. Considering a single-objective function and using the sequential quadratic programming algorithm for optimisation the influence of leakage on its functional force is also studied [10].…”

Section: Introductionmentioning

confidence: 99%

“…Last but not least, Zhang et al (2019) show the structural parameter optimisation of the twin-screw expander and the influence of geometrical parameters on the thermal performance of the machine. Considering a single-objective function and using the sequential quadratic programming algorithm for optimisation the influence of leakage on its functional force is also studied [10].…”

Section: Introductionmentioning

confidence: 99%

On performance optimisation for oil-injected screw compressors using different evolutionary algorithms

Kumar

Kovacevic

Ponnusami

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

View full text Add to dashboard Cite

Energy consumed for pressurizing air makes a significant proportion of total electrical energy consumption worldwide. To reduce the carbon footprint, it is necessary to have air compressors, which can operate efficiently over a large range of pressures and flow including full load and part load conditions. Several studies have been performed in this area including some which monitor the performance of a large number of compressors to develop strategies for their designs. This paper focuses on the design optimisation of geometrical and oil parameters of oil-injected screw compressors using different evolutionary algorithms such as genetic algorithm (GA), covariance matrix adaptation evolution strategy (CMA-ES), and so on. A comparison of the performance of these algorithms is presented. SCORG and GT-SUITE (commercial software tools for screw compressor thermodynamic simulations and optimisation) are used in the integrated model producing promising results. Feasibility of the optimum outcomes generated by these algorithms is critically evaluated from machine and system design point of view. Finally, in the context of optimisation presented here, the simplex converges fastest as compared to other algorithms. In the future study, the system design limitations are to be incorporated as constraints for the optimisation along with the objective to improve energy efficiency.

show abstract

Experimental study of equivalent expansion inside two-phase expanders

Li,

Wu,

et al. 2024

Applied Thermal Engineering

View full text Add to dashboard Cite

Research on structural parameter optimization and thermal performance of twin-screw expander

Cited by 5 publications

References 4 publications

A Review of Recent Research and Application Progress in Screw Machines

A Review of Recent Research and Application Progress in Screw Machines

On performance optimisation for oil-injected screw compressors using different evolutionary algorithms

Experimental study of equivalent expansion inside two-phase expanders

Contact Info

Product

Resources

About