Multi-objective optimization designs of phase change material-enhanced building using the integration of the Stacking model and NSGA-III algorithm

Yang, Haibin; Xu, Ziqing; Yuan, Shyan-Ming; Tang, Waiching; Liu, Chunyu; Yunusa‐Kaltungo, Akilu; Cui, Hongzhi

doi:10.1016/j.est.2023.107807

Cited by 15 publications

(3 citation statements)

References 49 publications

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“…Determining the initial sample set is the first step in conducting multi-objective optimization [32]. An orthogonal array is a design method used to study the impact of multiple factors on objectives within the fewest possible experiments, effectively analyzing the relationships between factors and objectives and ensuring the validity of the analysis results.…”

Section: Initial Sample and Multi-objective Optimizationmentioning

confidence: 99%

Performance Assessment and Optimization of the Ultra-High Speed Air Compressor in Hydrogen Fuel Cell Vehicles

Shi,

Peng

2024

Applied Sciences

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Air compressors in hydrogen fuel cell vehicles play a crucial role in ensuring the stability of the cathode air system. However, they currently face challenges related to low efficiency and poor stability. To address these issues, the experimental setup for the pneumatic performance of air compressors is established. The effects of operational parameters on energy consumption, efficiency, and mass flow rate of the air compressor are revealed based on a Morris global sensitivity analysis. Considering a higher flow rate, larger efficiency, and lower energy consumption simultaneously, the optimal operating combination of the air compressor is determined based on grey relational multi-objective optimization. The optimal combination of operational parameters consisted of a speed of 80,000 rpm, a pressure ratio of 1.8, and an inlet temperature of 18.3 °C. Compared to the average values, the isentropic efficiency achieved a 48.23% increase, and the mass flow rate rose by 78.88% under the optimal operational combination. These findings hold significant value in guiding the efficient and stable operation of air compressors. The comprehensive methodology employed in this study is applicable further to investigate air compressors for hydrogen fuel cell vehicles.

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Section: Initial Sample and Multi-objective Optimizationmentioning

confidence: 99%

Performance Assessment and Optimization of the Ultra-High Speed Air Compressor in Hydrogen Fuel Cell Vehicles

Shi,

Peng

2024

Applied Sciences

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“…The contour plot is a 2D depiction of the response plotted against numeric factors and mixed component combinations (Appoh and Yunusa-kaltungo, 2021;Yang et al, 2023a;Balali et al, 2023). It can illustrate the link between responses, mixture components, and numerical variables.…”

Section: Contour Plotmentioning

confidence: 99%

“…The selection of EN 24 steel for this investigation is based on its remarkable material characteristics, which render it an ideal choice to perform machining experiments. EN 24 steel is renowned for its notable tensile strength, exceptional resistance to wear, and favourable machinability characteristics (Appoh and Yunusakaltungo, 2021;Liang et al, 2023a;Yang et al, 2023a). The inherent characteristics of this material present challenges for the machining process, and the optimisation of machining techniques for this material holds considerable potential for industrial applications, particularly in sectors that demand durable/robust components such as the aviation and automotive sectors (Yunusa-kaltungo et al, 2015;Luwei et al, 2017;Balali et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Optimization of surface roughness in milling of EN 24 steel with WC-Coated inserts using response surface methodology: analysis using surface integrity microstructural characterizations

Patil,

Sathish,

Rao

et al. 2024

Front. Mater.

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Introduction: Among alloys of medium-carbon and high-strength steel, EN 24 steel is characterised by its nickel-chromium-molybdenum composition. EN 24 steel is highly suitable for application in heavy-duty projects due to its notable resilience to damage, especially when exposed to low temperatures. With the objective of minimising surface irregularities, this research endeavours to enhance the milling process of EN 24 steel by employing coated tungsten carbide (WC) tool inserts.Methods: Feed rate, cutting speed, depth of cut, and cutting fluid are all crucial process factors in the experimental investigation. Four distinct levels are applied to each factor. The research utilises the Design of Experiments (DOE)-based Central Composite Design of Response Surface Methodology. To predict output parameters, mathematical models are developed utilising analysis of variance (ANOVA) for optimisation purposes.Results and discussions: Through the utilisation of multi-objective optimisation, the optimal combination for tungsten carbide inserts was determined, which provided surface irregularities of 0.301 µm. Cutting speed (CS) of 149.507 m/min, feed rate (FR) of 340.27 mm/min, depth of cut (DOC) of 0.599 mm, and cutting fluid (CF) of 12.50 L/min are the optimal parameters. The surface morphologies of the machined workpiece at particular parameter values can be discerned through scanning electron microscope (SEM) analysis, yielding significant insights. The optimal parameters that have been identified provide practical recommendations for improving the milling method of EN 24 steel when tungsten carbide inserts are utilised. Understanding the milling process in its entirety is facilitated by SEM analysis of surface morphologies and microstructures under particular cutting conditions. The morphology and surface irregularities of the machined workpiece are evaluated using profilometry, which provides additional insight into surface integrity. The discourse investigates the potential applications and implications of the results, as well as suggests directions for further study concerning the enhancement of milling processes for similar steel alloys.

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Optimisation of Design for PCM-Enhanced Buildings Through Parametric Modelling and Multi-objective Methodology

Cui,

Xu,

Liang

et al. 2024

Lecture Notes in Energy

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Multi-objective optimization designs of phase change material-enhanced building using the integration of the Stacking model and NSGA-III algorithm

Cited by 15 publications

References 49 publications

Performance Assessment and Optimization of the Ultra-High Speed Air Compressor in Hydrogen Fuel Cell Vehicles

Performance Assessment and Optimization of the Ultra-High Speed Air Compressor in Hydrogen Fuel Cell Vehicles

Optimization of surface roughness in milling of EN 24 steel with WC-Coated inserts using response surface methodology: analysis using surface integrity microstructural characterizations

Optimisation of Design for PCM-Enhanced Buildings Through Parametric Modelling and Multi-objective Methodology

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