Sobol's sensitivity analysis for a fuel cell stack assembly model with the aid of structure-selection techniques

Zhang, Wei; Cho, Chongdu; Piao, Changhao; Choi, Hyun‐Jung

doi:10.1016/j.jpowsour.2015.08.076

Cited by 24 publications

(6 citation statements)

References 19 publications

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“…5 (b)). In any case, all the inputs were sensitive, as they all had total sensitivity indices greater than 0.1, as stipulated by Zhang et al [ 76 ]. The fact that KH 2 PO 4 was ranked as the most sensitive input is not a surprise considering its significant importance in the fermentation process, as already alluded to.…”

Section: Resultsmentioning

confidence: 99%

Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Amenaghawon,

Igemhokhai,

Eshiemogie

et al. 2024

Heliyon

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Section: Resultsmentioning

confidence: 99%

Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Amenaghawon,

Igemhokhai,

Eshiemogie

et al. 2024

Heliyon

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“…These properties could be used in predicting the material deformation to prevent crossover of the fuel while still conducting. The hyperplastic material properties can be further used for assessing the development of high strength nanocomposite materials [26]. The suitability of models for nanomembranes plays an important role in the development of computational models.…”

Section: Resultsmentioning

confidence: 99%

Prediction of Hyperelastic Material Properties of Nafion117 and Nafion/ZrO2 Nano-Composite Membrane

Ṋemavhola¹,

Sigwadi²

2019

IJAME

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This paper presents constitutive laws suitable for the prediction of mechanical behaviour of nano-composite membrane compared with the commercial membrane Nafion®117. The uniaxial tensile data of commercial Nafion®117 and Nafion®/ Zr-150 nano-composite membrane utilised for fitting hyperelastic models was determined experimentally. Several material models on mechanical behaviour of nano-composite and commercial Nafion® 117 membrane material was fitted to determined accuracy. In order to observe yield and fracture behaviour, the com-mercial Nafion®117 and Nafion®/ Zr-150 nano-composite membranes were loaded in uniaxial direction at a constant strain rate. To obtain the optimal material constants form six different material models considered in this study, the OriginLab® version 9 was used and the Leven-berg-Marquardt (M) optimization logarithm. Hyperplastic material models including Mooney-Rivlin, Yeoh, Ogden, Humphrey, Martins and Veronda-Westmann were selected to use in an inverse method to fit the experimental uniaxial data of nano-composite material. The hyper-plastic material parameters could then be used to simulate material behaviour of nano mem-brane using finite element analysis (FEA) technique. The procedure discussed in this paper could be used to accurately determine the constitutive parameters of various constitutive models of Polymer Nafion presented.

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“…The first order indices give an indication of the contribution of the first order (single effect terms) parameters to the output variance while the total order indices measure the combined contribution of the single effect terms and their interaction to the variance of the output (Xu et al 2018 ). In taking a sensitive parameter as one with a total order sensitivity index greater than 0.1, it was found that all the input parameters were sensitive for the model representing yield (Zhang et al 2016 ). This is supported by the observation recorded from the ANOVA results which indicated that all the inputs were significant with p values less than 0.05.…”

Section: Discussionmentioning

confidence: 99%

Production, characterization and techno-economic evaluation of Aspergillus fusant l-asparaginase

et al. 2023

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Protoplast fusion is one of the most reliable methods of introducing desirable traits into industrially-promising fungal strains. It harnesses the entire genomic repertoire of fusing microorganisms by routing the natural barrier and genetic incompatibility between them. In the present study, the axenic culture of a thermo-halotolerant strain of Aspergillus candidus (Asp-C) produced an anti-leukemic l-asparaginase (l-ASNase) while a xylan-degrading strain of Aspergillus sydowii (Asp-S) produced the acrylamide-reduction type. Protoplast fusion of the wild strains generated Fusant-06 with improved anti-leukemic and acrylamide reduction potentials. Submerged fed-batch fermentation was preferred to batch and continuous modes on the basis of impressive techno-economics. Fusant-06 l-ASNase was purified by PEG/Na+ citrate aqueous two-phase system (ATPS) to 146.21-fold and global sensitivity analysis report revealed polymer molecular weight and citrate concentration as major determinants of yield and purification factor, respectively. The enzyme was characterized by molecular weight, amino acid profile, activity and stability to chemical agents. Michaelis–Menten kinetics, evaluated under optimum conditions gave Km, Vmax, Kcat, and Kcat/Km as 6.67 × 10–5 M, 1666.67 µmolmin−1 mg−1 protein, 3.88 × 104 min−1 and 5.81 × 108 M−1.min−1 respectively. In-vitro cytotoxicity of HL-60 cell lines by Fusant-06 l-ASNase improved significantly from their respective wild strains. Stability of Fusant-06 l-ASNase over a wide range of pH, temperature and NaCl concentration, coupled with its micromolar Km value, confers commercial and therapeutic value on the product. Free-radical scavenging and acrylamide reduction activities were intermediate and the conferred thermo-halo-stability could be exploited for sustainable clinical and food industry applications.

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Sobol's sensitivity analysis for a fuel cell stack assembly model with the aid of structure-selection techniques

Cited by 24 publications

References 19 publications

Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Data-driven intelligent modeling, optimization, and global sensitivity analysis of a xanthan gum biosynthesis process

Prediction of Hyperelastic Material Properties of Nafion117 and Nafion/ZrO2 Nano-Composite Membrane

Production, characterization and techno-economic evaluation of Aspergillus fusant l-asparaginase

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