Comparative study of Box–Behnken and central composite designs to investigate the effective parameters of ammonia–water absorption refrigerant system

Kazemian, M. E.; Nassab, SA Gandjalikhan; Javaran, Ebrahim Jahanshahi

doi:10.1177/0954406220959097

Cited by 9 publications

(2 citation statements)

References 29 publications

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“…Using quantitative data, RSM may create a model equation to assess the relationship and interactions between the various components. Kazemian et al [18]. Implementing RSM involves three steps: (1) experiment design, such as Box Behnken and Central Composite Design (CCD); (2) statistical and regression analysis to create model equations representing response surface modeling; and (3) model equation-based parameter and variable optimization.…”

Section: Fig 2: Contour Plotmentioning

confidence: 99%

Statistical Analysis and Optimization of a Single-Effect Vapor Absorption Refrigeration Cycle

Jain,

Chourasia

2024

IJRASET

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This study employs Response Surface Methodology (RSM) with a Box-Behnken design to optimize the Coefficient of Performance (COP) in a Single-Effect Vapor Absorption System. The thermodynamic model considers a 1-ton refrigeration (TR) system utilizing Lithium bromide-water as the refrigerant, and simulations are conducted using the Engineering Equation Solver (EES). The optimization process identifies optimal values for the generator, absorber, condenser, and evaporator temperatures, set at 90°C, 33°C, 33°C, and -5°C, respectively, resulting in an achieved optimum COP of 0.716. Statistical analysis through ANOVA of the quadratic regression model reveals a significant F-value of 110.62, with a low probability value (p=0.0003), attesting to the model's robustness. Key statistical metrics for the model encompass a standard deviation (Std. Dev.) of 0.0059, a mean of 0.8956, a coefficient of variation (C.V. %) of 0.6559, an R² of 0.9901, an adjusted R² of 0.9811, a predicted R² of 0.9159, and an adequate precision of 38.2967. This research offers crucial insights into enhancing the performance of a Single-Effect Vapor Absorption System, thereby contributing to the advancement of energy-efficient refrigeration technologies

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Section: Fig 2: Contour Plotmentioning

confidence: 99%

Statistical Analysis and Optimization of a Single-Effect Vapor Absorption Refrigeration Cycle

Jain,

Chourasia

2024

IJRASET

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“…An alternative to Box-Behnken in the space of response surface methodology is central composite design which is a traditional fractional factorial design. This approach could also be beneficial in relatively unknown processes (Kazemian et al, 2021). Future studies should consider multiple complementary approaches in determining the ideal concentrations of target amino acids or other substrates that limit IM accumulation.…”

Section: Response Surface Designmentioning

confidence: 99%

Addressing amino acid‐derived inhibitory metabolites and enhancing CHO cell culture performance through DOE‐guided media modifications

Ladiwala

Dhara

Jenkins

et al. 2023

Biotech & Bioengineering

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Previously, we identified six inhibitory metabolites (IMs) accumulating in Chinese hamster ovary (CHO) cultures using AMBIC 1.0 community reference medium that negatively impacted culture performance. The goal of the current study was to modify the medium to control IM accumulation through design of experiments (DOE). Initial over‐supplementation of precursor amino acids (AAs) by 100% to 200% in the culture medium revealed positive correlations between initial AA concentrations and IM levels. A screening design identified 5 AA targets, Lys, Ile, Trp, Leu, Arg, as key contributors to IMs. Response surface design analysis was used to reduce initial AA levels between 13% and 33%, and these were then evaluated in batch and fed‐batch cultures. Lowering AAs in basal and feed medium and reducing feed rate from 10% to 5% reduced inhibitory metabolites HICA and NAP by up to 50%, MSA by 30%, and CMP by 15%. These reductions were accompanied by a 13% to 40% improvement in peak viable cell densities and 7% to 50% enhancement in IgG production in batch and fed‐batch processes, respectively. This study demonstrates the value of tuning specific AA levels in reference basal and feed media using statistical design methodologies to lower problematic IMs.

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Process variable optimization on hydrogen production from sawdust mill of Paraserianthes falcataria wood with one stage gasification process using promoted calcium hydroxide absorption

Lestari,

Kasmiyatun,

Purwaningtyas

et al. 2024

Biomass Conv. Bioref.

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Comparative study of Box–Behnken and central composite designs to investigate the effective parameters of ammonia–water absorption refrigerant system

Cited by 9 publications

References 29 publications

Statistical Analysis and Optimization of a Single-Effect Vapor Absorption Refrigeration Cycle

Statistical Analysis and Optimization of a Single-Effect Vapor Absorption Refrigeration Cycle

Addressing amino acid‐derived inhibitory metabolites and enhancing CHO cell culture performance through DOE‐guided media modifications

Process variable optimization on hydrogen production from sawdust mill of Paraserianthes falcataria wood with one stage gasification process using promoted calcium hydroxide absorption

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