Match-based pseudo-MAP full-operation-range optimization method for a turbocharger compressor

Chen, Qinqing; Ni, Jimin; Wang, Qiwei; Shi, Xiuyong

doi:10.1007/s00158-019-02262-2

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The specific parameters are shown in Table 2. Chen et al [30] proposed a novel pseudo-MAP method which was a contour map with the performance of only nine compressor characteristic operating points. Therefore, to make the simulation representative, three speeds of 60,000 r/min, 90,000 r/min and 110,000 r/min were chosen to represent the compressor's low, medium, and high speeds.…”

Section: Research Objectmentioning

confidence: 99%

Experimental and Mechanism Study of Aerodynamic Noise Emission Characteristics from a Turbocharger Compressor of Heavy-Duty Diesel Engine Based on Full Operating Range

Huang

Wang

et al. 2023

Sustainability

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Heavy-duty diesel engines equipped with turbochargers is an effective way to alleviate energy shortage and reduce gas emissions, but their compressor aerodynamic noise emissions have become an important issue that needs to be addressed urgently. Therefore, to study the aerodynamic noise emission characteristics of a compressor during the full operating range, experimental and numerical simulation methods were used to analyze the aerodynamic noise emissions. The results showed that aerodynamic noise’s total sound pressure level (SPL) increased with increased speed under the test conditions. At low speeds, the total SPL of aerodynamic noise was affected by the mass flow of the compressor more obviously. The maximum difference of aerodynamic noise total SPL was 1.55 dB at 60,000 r/min under different mass flows. At the same speed, the compressor could achieve lower aerodynamic noise emissions by operating in the high-efficiency region (middle mass flows). In the compressor aerodynamic noises, the blade passing frequency (BPF) noise played a dominant role. The transient acoustic-vibration spectral characteristics and fluctuation pressure analysis indicated that BPF and its harmonic frequency noises were mainly caused by the unsteady fluctuation pressure. As the speed increased, the BPF noise contributed more to the total SPL of the aerodynamic noise, and its percentage was up to 75.35%. The novelty of this study was the analysis of the relationship between compressor aerodynamic noise and internal flow characteristics at full operating conditions. It provided a theoretical basis for reducing the heavy-duty diesel engine turbocharger compressor aerodynamic noise emissions.

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Section: Research Objectmentioning

confidence: 99%

Experimental and Mechanism Study of Aerodynamic Noise Emission Characteristics from a Turbocharger Compressor of Heavy-Duty Diesel Engine Based on Full Operating Range

Huang

Wang

et al. 2023

Sustainability

Self Cite

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“…Mousavi et al [23] suggested a new algorithm for turbocharger matching. Chen et al [24] proposed a novel pseudo-Mean Average Precision (MAP) optimization method to achieve full-operation-range performance optimization of a compressor. The results indicated that by using the optimization method, the choke flow rate increased by 20% and the maximum efficiency increased to 80%.…”

Section: Introductionmentioning

confidence: 99%

Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor

Huang

Fan

et al. 2023

Sustainability

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A well-matched relationship between the compressor and turbine plays an important role in improving turbocharger and engine performance. However, in the matching of turbocharger and engine, the internal operation relationship between compressor and turbine is not considered comprehensively. In order to fill this gap, this paper proposed the internal joint operation law (IJOL) method based on the internal operating characteristics of the compressor and turbine using a combination of experimental and simulation methods. On this basis, the optimization method of the compressor was proposed. Firstly, according to the basic conditions of turbocharger, the compressor power consumption and the turbine effective power at a fixed speed were solved. Secondly, the power consumption curve of the compressor and the effective power curve of the turbine were coupled to obtain the power balance point of the turbocharger. Then, the internal joint operating point was solved and coupled to obtain the IJOL method. Finally, the IJOL method was used to optimize the blade number and the blade tip profile of the compressor. The simulation results showed that for the blade number, the 8-blade compressor had the best overall performance. For the blade tip profile, compared with the original compressor, the surge performance of the impeller inlet diameter reduced by 3.12% was better than that of the original compressor. In addition, in order to compare this to engine performance with different compressor structures, a 1D engine model was constructed using GT-Power. The simulation results showed that the maximum torque of the engine corresponding to the impeller designed by the IJOL method was 4.2% higher than that of the original engine, and the minimum brake specific fuel consumption was 3.1% lower. Therefore, compared with the traditional method, the IJOL method was reasonable and practical.

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“…In the literature above, most of the training sample points required for surrogate model construction are obtained by "one-time" sampling methods [11] such as uniform design [9], Latin hypercube sampling [12], and central composite design [10].…”

Section: Introductionmentioning

confidence: 99%

A Low-Sample-Count, High-Precision Pareto Front Adaptive Sampling Algorithm Based on Multi-Criteria and Voronoi

Liang

Sang

et al. 2021

Preprint

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In this paper, a Pareto front (PF)-based sampling algorithm, PF-Voronoi sampling method, is proposed to solve the problem of computationally intensive multi-objectives of medium size. The Voronoi diagram is introduced to classify the region containing PF prediction points into Pareto front cells (PFCs). Valid PFCs are screened according to the maximum crowding criterion (MCC), maximum LOO error criterion (MLEC), and maximum mean MSE criterion (MMMSEC). Sampling points are selected among the valid PFCs based on the Euclidean distance. The PF-Voronoi sampling method is applied to the coupled Kringing and NASG-II models and its validity is verified on the ZDT mathematical cases. The results show that the MCC criterion helps to improve the distribution diversity of PF. The MLEC criterion and the MMMSEC criterion reduce the number of training samples by 38.9% and 21.7%, respectively. The computational cost of the algorithm is reduced by more than 44.2%, compared to EHVIMOPSO and SAO-MOEA algorithms. The algorithm can be applied to multidisciplinary, multi-objective, and computationally intensive complex systems.

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Match-based pseudo-MAP full-operation-range optimization method for a turbocharger compressor

Cited by 5 publications

References 6 publications

Experimental and Mechanism Study of Aerodynamic Noise Emission Characteristics from a Turbocharger Compressor of Heavy-Duty Diesel Engine Based on Full Operating Range

Experimental and Mechanism Study of Aerodynamic Noise Emission Characteristics from a Turbocharger Compressor of Heavy-Duty Diesel Engine Based on Full Operating Range

Investigating a New Method-Based Internal Joint Operation Law for Optimizing the Performance of a Turbocharger Compressor

A Low-Sample-Count, High-Precision Pareto Front Adaptive Sampling Algorithm Based on Multi-Criteria and Voronoi

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