جستجوی مقالات مرتبط با کلیدواژه « intensification » در نشریات گروه « فنی و مهندسی »

In this paper, an electrokinetic micromixing system with conductive mixing-enclosure is proposed. The simulated micromixer can be fabricated easily and accordingly, it can be used in the microfluidic systems effectively. The mixing process is intensified by controlling the geometry of the mixing-enclosure and electric field strength. The effects of different parameters including existence of mixing-enclosure, horizontal and vertical sizes of mixing-enclosure, orientation angle of mixing-enclosure, and electric field strength on the mixing index are studied. The mixing efficiencies and mixing lengths of current electrokinetic micromixer and those previously proposed by other researchers are compared. The results showed that the mixing efficiency can be enhanced significantly as a micromixer with conductive mixing-enclosure is employed. As an advantage of the proposed micromixer, the maximum mixing efficiency does not change by boosting the electric field strength in the range of 100 V.cm-1 to 200 V.cm-1, while the mixing time diminishes as the electric field strength increases in this range. For the conductive mixing-enclosure with the orientation angle of 45°, maximum mixing efficiency of 96.6% is achieved by exerting electric field with strength of 75 V.cm-1. The current electrokinetic micromixer has superior mixing efficiency and mixing length as compared with other electrokinetic micromixers.

Nowadays, in global free market, third-party logistics providers (3PLs) are becoming increasingly important. Hence, this study aims to develop the freight consolidation and containerization problem, which consists of loading items into containers and then shipping these containers to different warehouse they are delivered to their final destinations. In order to handle the proposed problem, this research not only uses the traditional and recent algorithms, but also the two new hybridized methods are introduced in order to strengthen the advantages of recent ones. In this regard, this study considers the two important phases in meta-heuristic to develop new ones. Besides, Taguchi experimental design method is utilized to set and estimate the proper values of the algorithms’ parameters to improve their performance. For the purpose of performance evaluation of the proposed algorithms, various problem sizes are employed and the computational results of the algorithms are compared with each other. Finally, the impacts of the rise in the problem size on the performance of the proposed algorithms are investigated.

This paper presents a social harmony search algorithm to solve optimization problems with continuous design variables. Although the Harmony Search (HS) algorithm (HSA) has proven its ability in finding near global regions within a reasonable time, it is rather inefficient in performing local search. The proposed method applies the harmony search optimizer for global optimization and normal distribution is employed to update the position of each design variable of a new harmony found by the first rule of the HS (memory consideration) in every stage to rapidly attain the feasible solution space. Normal distribution works as a global search in early iterations and as a local search in final iterations to improve HS in order to quickly converge and find better solutions. Various benchmark optimization problems are used to illustrate the effectiveness and robustness of the proposed method. Finally, the experimental results reveal the superiority of the proposed method in quick convergence and finding better solutions compared to the classic HS, its recently developed variants, and some other optimization algorithms.