Rheological Characteristics and Optimization of Novel TiO2-POE Nanolubricant Using Response Surface Method (RSM) for Air Conditioning System Compressor Application

Nugroho, Afid; Mamat, Rizalman; Zhang, Bo; Azmi, W.H.; Ghazali, Mohd Imran; Yusaf, Talal

doi:10.1007/978-981-19-4425-3_14

Proceedings of the 2nd Energy Security and Chemical Engineering Congress

2022

DOI: 10.1007/978-981-19-4425-3_14

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Rheological Characteristics and Optimization of Novel TiO2-POE Nanolubricant Using Response Surface Method (RSM) for Air Conditioning System Compressor Application

Afid Nugroho

Rizalman Mamat

Bo Zhang

et al.

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“…Further, the uncertainty analysis is carried on the dynamic viscosity for the samples to estimate the standard deviation under different temperatures. The uncertainty of the specimen under test is determined[27],…”

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confidence: 99%

Understanding the Electro-Rheological Aspects of Nano Silica Based Ester Fluid With Surfactants and Deep Learning-Based Prediction of ECT

et al. 2023

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The present study deals with understanding the impact of different surfactants with nanosilica based ester fluid on its electrical and rheological properties. The stability of nanofluid is of prime concerns, which is achieved by the inclusion of ionic and non-ionic surfactants viz. cetyl trimethyl ammonium bromide (CTAB), oleic acid and Span-80. It is observed that CTAB as surfactant has shown discharge resistance property along with high breakdown strength enhancement of up to 39.5% with ester nanofluid. It is observed that fluorescent fiber technique is more sensitive to identify the inception of corona discharge as compared to Ultra high frequency sensor. The permittivity and tan δ of the fluid have shown marginal increase with the addition of surfactants, irrespective of temperature of the fluid. Rheological properties of the liquid showed only Newtonian flow behaviour even upon inclusion of the surfactant. The viscosity of the base fluid and the nanofluids exhibits similar decay rate at higher temperatures. Electrostatic charging tendency (ECT) derives the correlation between rotation speed and the static current measured adopting spinning disc technique. In addition, the performance of Long Short-Term Memory (LSTM) model is efficient compared to Artificial Neural Network (ANN) model adopted in predicting the charging tendency incorporating electro-rheological parameters at distinct temperatures. The electrical and rheological characteristics suggests the implication of nanofluids with surfactant to enhance the insulation performance for transformer applications.

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Understanding the Electro-Rheological Aspects of Nano Silica Based Ester Fluid With Surfactants and Deep Learning-Based Prediction of ECT

et al. 2023

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Investigating the Age-Dependent behavior of MoS2-hBN nanohybrid additives on the rheological properties of diesel engine oil

Nagarajan,

Sridewi,

Abdullah

et al. 2024

Journal of Molecular Liquids

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Rheological Characteristics and Optimization of Novel TiO2-POE Nanolubricant Using Response Surface Method (RSM) for Air Conditioning System Compressor Application

Cited by 2 publications

References 34 publications

Understanding the Electro-Rheological Aspects of Nano Silica Based Ester Fluid With Surfactants and Deep Learning-Based Prediction of ECT

Understanding the Electro-Rheological Aspects of Nano Silica Based Ester Fluid With Surfactants and Deep Learning-Based Prediction of ECT

Investigating the Age-Dependent behavior of MoS2-hBN nanohybrid additives on the rheological properties of diesel engine oil

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