Endüstri Mühendisliği Bölümü
https://hdl.handle.net/20.500.12418/558
2024-03-29T01:01:30Z
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Efficient Zinc Removal from Blast Furnace Sludge Using Choline Chloride–Malonic Acid: Towards Sustainable Recycling of Iron Extraction Waste
https://hdl.handle.net/20.500.12418/14755
Efficient Zinc Removal from Blast Furnace Sludge Using Choline Chloride–Malonic Acid: Towards Sustainable Recycling of Iron Extraction Waste
Kul, Mehmet; Oskay, Kürşat Oğuz; Doğan, Mehmet; ASLAN,Nevzat
Chemical components of blast furnace sludge (BFS) of iron blast furnaces
become a recyclable raw material in the furnace when a few contents
including zinc (Zn) are selectively removed. Out of four deep eutectic solvents
(DES) preselected from the literature for their potential selective Zn leaching
performances, choline chloride–malonic acid was determined to be the most
efficient DES for its efficiency in removing Zn from BFS in the presence of iron
(Fe). Further preliminary tests were conducted via iterations of leaching
parameters to determine their individual effects on the leaching efficiencies
for Zn, Ca, and Fe. Parameters like DES concentration, leaching period, and
solid/liquid ratio were found to be the most accountable, as agitation speed and
temperature showed only a slight influence on the efficiencies. For a maximum
Zn removal of about 85% with the least amount of Fe of around 15%, the
empirical parameters without any extra optimization were estimated to be 30
vol.% malonic acid concentration, ¼ (g/mL) solid/liquid ratio, 100 rpm agitation
speed, 60 C leaching temperature, and 3.0 h leaching period.
2023-01-01T00:00:00Z
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The effect of microbubbles on coarse particle anionic flotation: analysis and optimization
https://hdl.handle.net/20.500.12418/14752
The effect of microbubbles on coarse particle anionic flotation: analysis and optimization
Abbaker, Ahmed Mohammed E; ASLAN,Nevzat
Since the grinding and chemical reagents required for flotation are expensive, coarse particle flotation reduces grinding costs and makes the subsequent process more accessible and cheaper. Recent studies suggest that the flotation of coarse particles using microbubbles has some advantages. However, a thorough analysis of the effectiveness of various flotation parameters and the impact of their interactions on the recovery of coarse particles in the presence and absence of microbubbles has yet to be fully understood. In the current study, the two-level factorial and Box-Behnken experimental designs were performed to characterize, assess, and optimize the implications of seven numerical (sodium oleate, collector; calcium oxide, activator; MIBC, frother; impeller speed; froth depth; pulp concentration; fine particles) and one categorical (microbubbles) independent parameters on the coarse quartz particles. Characterization revealed that froth depth did not significantly affect the flotation recovery of coarse particles in the mechanical laboratory cell. The effects of the variables in the presence of microbubbles revealed that sodium oleate and impeller speed significantly impacted recovery, followed by calcium oxide and fine particles, both of which had a medium influence, and MIBC and pulp concentration, which had a minimal impact. The recovery of coarse particles increased by 92.714% when microbubbles were used, compared to the estimated maximum recovery under ideal conditions of 62.258% without them. From this, it can be concluded that a high coarse particle flotation recovery is possible by optimizing the hydrodynamic conditions and the chemical environment using microbubbles.
2023-01-01T00:00:00Z
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Harmonic estimator design using hybrid particle swarm optimization [Hibrit parçacik sürü optimizasyonu kullanarak harmonik kestirici tasarimi]
https://hdl.handle.net/20.500.12418/5774
Harmonic estimator design using hybrid particle swarm optimization [Hibrit parçacik sürü optimizasyonu kullanarak harmonik kestirici tasarimi]
Kabalci Y.; Koçkanat S.; Kabalci E.
The demand for electrical energy is increasing day by day and achieving high quality energy is becoming very important subject. Especially, harmonics occurred in power systems not only reduce the quality of the energy but also cause dangerous situations such as heating and burning. For this reason, the estimation of the amplitude and phase of harmonics plays an important role in the design of electrical systems that will reduce the negative effects of harmonics. In this study, a novel harmonic estimator design for the harmonic estimation problem, which is frequently proposed in the literature, is proposed using hybrid particle swarm optimization (HPSO). The obtained results are compared with those of the proposed studies in literature and the success of the designed HPSO based harmonic estimator is analyzed. © 2017 IEEE.
2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 --
2017-01-01T00:00:00Z