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003			MY-KuUP
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008			260113t20252025my a|||fr|||| 000 0 eng d
020			_aTHE0010256 (Local) _qHardback
040			_aUMPSA _beng _cUMPSA _erda
090			_aFIST .H34 2025 r Bc.
100	0		_aMuhammad Hafeeyi Bin Zulkafle,
245	1	0	_aDispersion of rice flour using computational fluid dynamic simulation on possibility of dust explosion / _cMuhammad Hafeeyi Bin Zulkafle
264		1	_aKuantan, Pahang : _bUMPSA, _c2025
264		4	_c© 2025
300			_axiii, 73 pages : _billustrations ;
336			_2rdacontent _atext
337			_2rdamedia _aunmediated
338			_2rdacarrier _avolume
347			_2rda _atext file _bPDF
500			_aFaculty of Industrial Sciences and Technology
502			_aFinal Year Report (Bachelor of Occupational Safety and Health ) -- Universiti Malaysia Pahang Al-Sultan Abdullah -- 2025
504			_aInclude bibliographical reference
520	3		_aDust explosions pose a serious risk to public safety in sectors that deal with flammable materials, such as rice flour, and can have catastrophic consequences, including property damage, injuries, and fatalities. The dispersion properties of rice flour at different concentrations (250, 500, 750, and 1000 g/m³) in a 20L spherical explosion chamber are examined in this work using Computational Fluid Dynamics (CFD) models. In order to assess the impact of concentration on dust dispersion and its consequences for explosion hazards, the study focusses on several important parameters, such as static pressure, turbulence kinetic energy (TKE), vector velocity, and particle tracks. The results show that increasing concentrations of dust have a significant impact on the flow dynamics in the chamber. Turbulence kinetic energy peaks at higher concentrations, resulting in chaotic flow dynamics and uneven particle dispersion. Vector velocity patterns at higher concentrations show irregular and overlapping flow paths, with stagnation zones forming where particles accumulate. Particle tracks further demonstrate the effects of increased clustering and non-uniform dispersion, which develop high-density regions prone to ignition. Static pressure gradients become more noticeable at higher concentrations (750 g/m³ and 1000 g/m³). On the other hand, the dust shows finer velocity patterns, less turbulence, and less clustering at lower concentrations (250 g/m³ and 500 g/m³). There is less chance of an explosion or ignition under these circumstances. The study emphasises how crucial it is to maintain ideal dust concentration and flow conditions in order to successfully reduce the risk of explosions. The research helps to create safer industrial processes and better explosion prevention techniques by offering a thorough analytical approach to analyse dust dispersion behaviour.
610	2	0	_aFaculty of Industrial Sciences and Technology _xDissertations
650		0	_aUniversities and colleges _xDissertations
650		0	_aFinal Year Report _xDissertations
856			_uhttp://umpir.ump.edu.my/id/eprint/45455
942			_2lcc _cPSM
999			_c103864 _d103870