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Soorathep Kheawhom 한국공업화학회 2010 Journal of Industrial and Engineering Chemistry Vol.16 No.4
This paper introduces a new constraint handling scheme developed for the differential evolutionary algorithm to solve constrained optimization problems. The developed approach uses a repair algorithm based on the gradient information derived from the equality constraint set to correct infeasible solutions. A dominance-based selection scheme is also applied to incorporate constraints into the objective function. To illustrate the developed algorithm and to compare its efficiency with other tradition method, several test problems and chemical engineering optimization problems are used. A traditional constraint handling technique is compared; both in terms of solution quality and the number of function evaluations required. The performance of our developed scheme compares favorably with traditional penalty function method. Our developed algorithm can effectively handle constraints encountered in chemical engineering optimization problems.
Robust Model Predictive Control with Time-Varying Tubes
Pornchai Bumroongsri,Soorathep Kheawhoma 제어·로봇·시스템학회 2017 International Journal of Control, Automation, and Vol.15 No.4
This paper focuses on the problem of robustly stabilizing uncertain discrete-time systems subject tobounded disturbances. The proposed tube-based model predictive controller ensures that all possible realizations ofthe state trajectory lie in the time-varying tubes so robust stability and satisfaction of the state and input constraintsare guaranteed. The time-varying tubes are computed off-line so the on-line computational time is tractable. At eachsampling time, the precomputed time-varying tubes are included in the optimal control problem as the constraintsin the prediction horizon and only a quadratic programming problem is solved. In comparison to the algorithm thatcalculates the time-varying tubes on-line, the proposed algorithm can achieve the same level of control performancewhile the on-line computational time is greatly reduced.
Modified genetic algorithm with sampling techniques for chemical engineering optimization
Chirdpong Preechakul,Soorathep Kheawhom 한국공업화학회 2009 Journal of Industrial and Engineering Chemistry Vol.15 No.1
In this work, we develop a new efficient technique to enhance the optimization ability, and to improve the convergence speed of genetic optimization algorithm. We investigate and introduce a number of sampling techniques to generate a good set of initial population that encourages the exploration through out the search space and hence achieves better discovery of possible global optimum in the solution space. The introduced sampling techniques include Latin hypercube sampling (LHS), Faure sequence sampling (FSS), and Hammersley sequence sampling (HSS). The performances of the proposed algorithms and a conventional genetic algorithm using uniformly random population are compared, both in terms of solution quality and speed of convergence. A number of test problems and a case study, optimization of multi-effect distillation, demonstrate the feasibility and effectiveness of the proposed techniques. With the same parameters, our technique provides a better solution and converge to the global optimum faster than the traditional genetic algorithm.
Sira Suren,Ura Pancharoen,Soorathep Kheawhom 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
An investigation on the separation of Pb(II) from synthetic wastewater via a hollow fiber supported liquid membrane (HFSLM) and its model is presented. Maximum percentages of Pb(II) extraction and stripping achieved were 97% and 30% using 0.03 M D2EHPA as the extractant, 0.9 M HCl as the stripping solution. The extraction and stripping of Pb(II) were second-order reaction with reaction rate constants of 0.03 and 0.19 L/mg s, respectively. A mathematical model is developed and shows that the model results fit in well with the experimental results. Average percent deviation was 3% for predictions in both feed and stripping sides.
Srestha Chaturabul,Thanaporn Wannachod,Natchanun Leepipatpiboon,Ura Pancharoen,Soorathep Kheawhom 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.21 No.1
The simultaneous extraction and stripping of mercury(II) from petroleum produced water via hollowfiber supported liquid membrane (HFSLM) was examined. Optimum conditions for extraction andstripping were pH 1 in feed solution, 5% (v/v) Aliquat 336 in the liquidmembrane and 0.05 Mthiourea inthe stripping solution. Percentages obtained for extraction and stripping of mercury(II) were 96.8% and92.5% which were below the legislation limit of 5 ppb. The overall mass transfer resistance (R) was7.286 102 s/cm. Results showed that themass transfer model fitted in well with the experimental data.
Thanaporn Wannachod,Thidarat Wongsawa,Prakorn Ramakul,Ura Pancharoen,Soorathep Kheawhom 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.33 No.-
The mass transfer of synergistic extraction of uranium ions from monazite leach solution via HFSLM wasexamined. Optimum conditions for synergistic extraction were found to be pH 5 in the feed solution,0.1 M Cyanex 272 + 0.1 M TOPO in the liquid membrane and 2 M H2SO4 in the stripping solution at 30 8C. After a fourth cycle, the cumulative extraction and stripping of uranium ions reached 95% and 90%. Fractional resistance due to extraction reaction proved to be the highest value. This indicated that masstransfer resistance from the extraction was dominant. The controlling step is the chemical reaction.
Jarvin Mariadhas,Sarojini Jeeva Panchu,Hendrik C. Swart,Daniel Rani Rosaline,Govindasamy Murugadoss,Durai Govindarajan,Soorathep Kheawhom,Savairoyan Stephen Rajkumar Inbanathan,Awais Bokhari,Lai Fatt 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.128 No.-
Dangerous non-biodegradable compounds are released into the environment due to the increased humanpopulation and industrialization. A simple green synthesis approach of novel silver (Ag)-doped copperoxide (CuO) anchored graphene oxide (GO) nanosheets (Ag-CuO@GO) via energy-efficient microwaveheating method has been developed for photocatalytic and antimicrobial applications. Tea extract is usedas a capping and reducing agent. The prepared Ag-CuO@GO nanocomposites (NCs) used for photocatalyticand antimicrobial activities are investigated systematically. The highly crystalline, wellinterconnectedAg-CuO nanoparticles (NPs) over GO provide an enhanced surface area of 24.1 m2/gand an efficient pore diameter of 15.1 nm with more active sites. A reduced optical bandgap (Eg) of1.48 eV obtained for the Ag-CuO@GO NCs, less than that of the bare and Ag-CuO, indicates that it canfunction as an efficient photocatalyst by harvesting solar energy. As demonstrated by the suppressedPL of the ternary Ag-CuO@GO nanocatalysts, additional of Ag and GO can efficiently separate the chargecarriers. Ag-CuO@GO exhibited an 89% increase in the dye removal rate of MB dye and high antimicrobialactivity against S.aureus, E.coli and Candida albicans that that of bare CuO and binary NCs. The synthesizednovel Ag-CuO@GO NCs show promise as potential photocatalysts for the pollutant degradation andantimicrobial activity.
Performance enhancement through parameter optimization for a rechargeable zinc-air flow battery
Ramin Khezri,Amir Parnianifard,Shiva Rezaei Motlagh,Mohammad Etesami,Woranunt Lao-atiman,Ali Abbasi,Amornchai Arpornwichanop,Ahmad Azmin Mohamad,Sorin Olaru,Soorathep Kheawhoma 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.115 No.-
Owing to their large specific energy density and eco-friendliness, zinc-air batteries (ZABs) are seen to bepotential large-scale rechargeable batteries. In recent years, numerous attempts have been made todevelop zinc-air flow batteries (ZAFBs) with the premise that a flowing electrolyte can alleviate the shortcomingsof zinc electrodes. Herein, the effects of electrolyte flow rate, current density, initial ZnO concentration,and electrolyte temperature on the performance and efficiency of a ZAFB are systematicallyexplored. In addition, the paper discusses the morphological evolution of a zinc electrode with respectto different levels of parameters as well as gravity. Optimal parameters are determined by employinga combination of orthogonal array (OA) sampling and response surface methodology. Results demonstratethat a two-factor interaction regression model can effectively predict actual results with quitean acceptable accuracy. Applying optimal conditions, the battery obtains 99.27 % charge efficiency,97.65 % discharge efficiency, 73.52 % overall round-trip efficiency, and charge and discharge overpotentialsas low as 0.36 V and 0.09 V, respectively. The optimized ZAFB is able to attain superior performancewith enhanced round-trip efficiency, making it appropriate for large-scale development.