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020			_aTHE0010722 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFTKKP .A375 2025 r Bc.
100	1		_aWan Adriana Zahirah Binti Mior Ahmad Zaini, , , _eauthor.
245	1	0	_aModel performance of density and viscosity for binary liquid mixtures (ether and alcohol groups) / _cWan Adriana Zahirah Binti Mior Ahmad Zaini
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_a64 pages : _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Chemical and Process Engineering Technology
502			_aFinal Year Report (Bachelor of Chemical Engineering ) -- Universiti Malaysia Pahang Al-Sultan Abdullah - 2025
504			_aInclude bibliographical reference
520	3		_aBinary liquid mixtures of ether and alcohol have numerous applications, particularly as oxygenate additives in fuel blending, which enhance combustion efficiency and reduce harmful emissions. These mixtures are increasingly studied for their potential in improving fuel performance, making it crucial to understand their key thermophysical properties such as density and viscosity. The accurate prediction of these properties is vital for designing processes and optimizing industrial applications. This research focuses on evaluating several predictive models to determine the most accurate one for binary mixtures of ether and alcohol. Using Excel Solver, density predictions were based on reduced temperature, critical density, and the acentric factor of alcohols, while viscosity predictions required iterative adjustments to minimize errors below 5%. This method ensures the coefficients are optimized for accurate results. The results indicate that for density, the Jouyban-Acree model is the most accurate with 0% error, which indicates near-perfect agreement with experimental data. In contrast, the Mchaweh-Nasrifah-Mashfeghian model exhibits the highest error exceeding 25%, making it unsuitable for the systems studied. For viscosity, all models provided acceptable predictions with errors below 5%, but the Auslander model achieved 0% error, making it the best alongside Jouyban-Acree. These models were effective in minimizing errors and producing reliable coefficients that can be applied for future viscosity predictions. Furthermore, the viscosity trend highlights that ethers generally exhibit lower viscosity compared to alcohols, with n-butanol demonstrating higher viscosity than isopropanol due to stronger intermolecular forces. In conclusion, the Jouyban-Acree model is the most reliable for both density and viscosity predictions, while the Auslander model is ideal for viscosity.
610	2	0	_aFaculty of Chemical and Process Engineering Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aTheses _xDissertations
856			_uhttps://umpir.ump.edu.my/id/eprint/47604
942			_2lcc _cPSM
999			_c105190 _d105196