Performance analysis and optimization of nano particle base Libr-H2o vapor absorption system by using Taguchi, Grey relational analysis and ANOVA

Patil, Prashant J.; Kardekar, Nitin; Kamble, Dhanapal

doi:10.1016/j.matpr.2022.09.340

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…The study compared the performance of different types of heat exchangers and found that the SHE significantly outperforms the RHE and SRHE, with a maximum increase of 66% in COP. Prashant et al [13] employed Taguchi, Grey Relation Analysis, and ANOVA techniques to optimize a Vapor Absorption Refrigeration System (VARS) that utilizes nanoparticles. Their study revealed that incorporating copper-oxide nanoparticles into a VARS system with LiBr-H2O as the refrigerant resulted in a 17% increase in the Coefficient of Performance (COP).…”

Section: Introductionmentioning

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: Introductionmentioning

confidence: 99%

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

Jain,

Chourasia

2024

IJRASET

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“…A huge volume of cutting solution (6400ml/min) is pumped into the grinding area during a traditional surface grinding operation. The nucleate boiling that occurs when the cutting fluid is first supplied to the grinding zone accelerates the rate at which heat is Journal of Mines, Metals and Fuels, 71 (12): 2751-2756; 2023. DOI: 10.18311/jmmf/2023/41766 transferred from the workpiece to cutting fluid 1,2 .…”

Section: Introductionmentioning

confidence: 99%

“…Garcia et al, 10 investigated the grinding for CI under various lubrication methods and discovered a significant improvement in force of grinding, surface quality and G ratio. Many studies have investigated and reported on the good effects of various process parameters for MQL technology in grinding applications [10][11][12] . However, the combined influence of nanoparticle size, grinding wheel speed, nanoparticle concentration in base fluid, and nanofluid coolant amount has not been well studied for surface grinding operations by previous researchers [13][14][15] .…”

Section: Introductionmentioning

confidence: 99%

Al<sub>2</sub>O<sub>3</sub> Nanofluids: An Experimental Study for MQL Grinding

Patil,

Kardekar,

Yadav

et al. 2023

jmmf

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In the course of grinding, conventional grinding fluid is frequently utilised, which leads to excessive consumption and negative environmental effects. MQL, or minimum quantity lubrication, is a possible replacement for traditional dry and fluid coolant application. It is well known that the MQL grinding process's effectiveness depends on the lubricating and cooling capabilities of fluid. A water-based Al2O3 nanofluid was used in this work to grind materials due to its outstanding convective heat transfer and thermal conductivity qualities. Hardened steel's grinding properties are examined and contrasted with those of MQL grinding done in wet, dry, and pure water. Al2O3 nanofluid MQL grinding using water dramatically lower the grinding temperatures, minimise grinding forces, and enhance the ground surface finish.

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Internet of Things and Artificial Intelligence-Integrated Nano-Materials Research

Teja

Rathinasabapathi²,

Pateria³

et al. 2023

Sustainable Utilization of Nanoparticles and Nanofluids in Engineering Applications

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This chapter presents a system design and architecture that incorporates AI, IoT, and ML-based solutions for data collection, analysis, and interpretation in the nano-materials industry. It consists of three components: data acquisition, data analytics, and decision-making. The system incorporates robust security measures, such as authentication, access control, encryption, and Industry 4.0 principles, to ensure the security and privacy of data. The proposed system was used to collect, analyze, and interpret data from the production, resulting in improved quality, increased efficiency, and reduced waste. AI, IoT, and ML-based solutions have the potential to revolutionize nano-materials research and production, improving productivity, reducing costs, and improving quality.

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Performance analysis and optimization of nano particle base Libr-H2o vapor absorption system by using Taguchi, Grey relational analysis and ANOVA

Cited by 3 publications

References 13 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

Al<sub>2</sub>O<sub>3</sub> Nanofluids: An Experimental Study for MQL Grinding

Internet of Things and Artificial Intelligence-Integrated Nano-Materials Research

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