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008 120305t2010 my a f m 001 0 eng d
020 _aTHE0004383(Local)
039 9 _a201905161144
_brohana
_c201203051219
_dida
_y201203051112
_zida
040 _aUMP
090 _aTP248.25.B55 A35 2010 rs Bc.
100 0 _aMuhammad Afiq Ariffin
245 1 0 _aDesign, construction and commisioning of bioreactor experimental rig to measure kLa of oxigen in newtonian fluid /
_cMuhammad Afiq Ariffin
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axv, 78 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Chemical Engineering (Biotechnology)) -- Universiti Malaysia Pahang - 2010
504 _aBibliography : p. 43-44
520 3 _aIn this research, a bioreactor experimental rig was designed, constructed and finally commissioned in order to measure the kLa and kap of oxygen in Newtonian fluid. Distilled water was used as a sample of Newtonian fluid. The design of the rig was based on the standard geometry of a stirred tank reactor. Standard geometrical ratios of a stirred tank reactor with two Rushton disc turbine (RDT) impellers was used to design a system that can provide good mixing for a gas-liquid system. Two sets of RDT impellers were used to disperse the gas sparged by a ring sparger into the liquid content in the tank. The construction of this rig was done with the help of the Assistant Training Vocational Officer in the engineering workshop. The tank was built using transparent Polyvinyl chloride (PVC) while the two impellers and four equally spaced baffles were constructed using stainless steel. The effect of two variables, namely impeller speed and air flow rate on the volumetric transfer coefficient of oxygen from gas to the bulk liquid, kLa and on the mass transfer coefficient of oxygen from bulk liquid to the oxygen electrode, kap were studied. From the result, the increase in impeller speed and air flow rate will both increase the value of kLa and kap. The values of kLa and kap were predicted by fitting the mass transfer equation of oxygen to the experimental data by using sum of squared error minimization of the difference between the actual and predicted data using MATLAB programming.
650 0 _aBioreactors
999 _aVIRTUA40
_c3154
_d3160
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992