Comparison of optimum tapered cascade and optimal square cascade for separation of xenon isotopes using enhanced TLBO algorithm

Safdari, Jaber; Khamseh, Ali Gh.; Norouzi, Ali; Khajenouri, Majid

doi:10.1080/01496395.2018.1443135

Cited by 27 publications

(5 citation statements)

References 23 publications

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“…The optimization results of BOA are comparable to the results of TLBO and almost the same. The best feed stage is the intermediate stage, which is also in good agreement of Mansourzadeh's result [11]. The ratio of the flow rates of each stage to the feed G/F is variable.…”

Section: Algorithmssupporting

confidence: 87%

“…The optimization is first performed on a 20-stage square cascade to separate Xenon isotopes in order to test the efficiency of BOA method. Cascade parameters are set the same as the square cascade optimized by Mansourzadeh et al [11], such as feed flow rates 80g/h, separation factor 1.40 and the optimization results will be compared with TLBO method.…”

Section: Optimization Resultsmentioning

confidence: 99%

“…In order to compare the results of BOA with TLBO. G/F is set to 18.5 which is the same as the condition in the paper [11]. The optimal results of 20-stage square cascades with the first four Xenon isotopes separated obtained by using BOA and TLBO are listed in Table 3.…”

Section: Optimization With the Objective Function 1/dmentioning

confidence: 99%

“…In 2017, Safdari et al [10] developed a real coded PSO algorithm (RCPSO) to design an optimum cascade, with the ratio of maximum separation work to the number of centrifuges and other additional limits as an objective function. In 2018, Mansourzadeh et al [11] developed an efficient code using an enhance TLBO algorithm to optimize a multicomponent isotope separation cascade for the separation of Xenon isotopes, WF 6 and SF 6 . When the objective function is D function, the optimal square cascade is more efficient than the optimal tapered cascade.…”

Section: Introductionmentioning

confidence: 99%

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A novel cascade optimization method based on butterfly optimization algorithm

Sun

Zhou

Pan

et al. 2022

J. Phys.: Conf. Ser.

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The parameter optimization of a multi-component isotope separation cascade is a multi-dimensional problem, involving many variables such as cut for stages, feed stage and separation factors. In this paper, a novel metaheuristic algorithm called butterfly optimization algorithm (BOA) is applied for the first time in cascade optimization field. Different objective functions are introduced like D function and a combination of D function and total flow rates. BOA method solves the problem of a 20-stage square cascade optimization to separate Xenon isotopes with the aim of getting the greatest D value or the least flow rates. The optimization results show that the optimal cut is close to the sum of the concentrations of the lightest N′C isotopes. A 21-stage step cascade is optimized as well to obtain the best working conditions to separate 72Ge and the cut θ is consistent with the experiment results. The calculation results indicate that BOA shows good performance in terms of calculation stability, speed and convergence to global optimum compared with traditional optimization methods and other metaheuristic algorithm like TLBO.

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Section: Algorithmssupporting

confidence: 87%

Section: Optimization Resultsmentioning

confidence: 99%

Section: Optimization With the Objective Function 1/dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A novel cascade optimization method based on butterfly optimization algorithm

Sun

Zhou

Pan

et al. 2022

J. Phys.: Conf. Ser.

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“…In square cascades, the number of GCs is the same for the entire stages, and the input flow rate at all stages is the same. The major difference between square cascades to taper ones is recycle-flow in the two ends of the cascade [15]. Simulation of these cascades can be done in two separate parts.…”

Section: Research Theoriesmentioning

confidence: 99%

Application of the Grey Wolf Optimization Algorithm to Separate Middle Components in Multicomponent Mixtures

Imani

Aghaei

2023

Jonra

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This paper presents the optimization of a system of square cascades for separating the middle components of xenon. It also presents the optimal use of square cascades in this system. As an example, the separation of 130 Xe, an element whose middle isotope is much more complex than any of the other isotopes of xenon, is provided. The Grey Wolf Algorithm is applied for optimization. and the parameters of cascade feed flow rate, cut off the cascade, feed location, feed flow of gas centrifuges (GC), and the cut of the first stage are optimized in such a way that the maximum recovery of the target isotope and the maximum cascade capacity are achieved. Based on the optimization results, the more steps the cascade has, the fewer separation steps are needed for the nine selected cascades with 180 GCs. As a result, both the recovery factor and the amount of product increase.

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