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Author(s): 

Pourhaji S. | Pourmand A.

Issue Info: 
  • Year: 

    2024
  • Volume: 

    53
  • Issue: 

    4
  • Pages: 

    291-297
Measures: 
  • Citations: 

    0
  • Views: 

    45
  • Downloads: 

    5
Abstract: 

In this paper, recommended spiral passive micromixer was designed and simulated. spiral design has the potential to create and strengthen the centrifugal force and the secondary flow. A series of simulations were carried out to evaluate the effects of channel width, channel depth, the gap between loops, and flowrate on the micromixer performance. These features impact the contact area of the two fluids and ultimately lead to an increment in the quality of the mixture. In this study, for the flow rate of 25 μl/min and molecular diffusion coefficient of 1×10-10 m2/s, mixing efficiency of more than 90% is achieved after 30 (approximately one-third of the total channel length). Finally, the optimized design fabricated using proposed 3D printing method.

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Issue Info: 
  • Year: 

    2008
  • Volume: 

    32
  • Issue: 

    B3
  • Pages: 

    265-277
Measures: 
  • Citations: 

    0
  • Views: 

    855
  • Downloads: 

    165
Abstract: 

Application of the network equivalent concept for external system representation for power system transient analysis is well known. However, the challenge to utilize an equivalent network, approximated by a rational function, is to guarantee the passivity of the corresponding model. In this regard, special techniques are required to enforce the passivity of the equivalent model through a post processing approach that minimizes its impact on the original model characteristics. In this paper, the passivity is enforced by expressing the problem in terms of a convex optimization problem that guarantees the global optimal solution. The convex optimization problem is efficiently solved by recently developed numerical interior–point methods. This passivity enforcement is also global which indicates that the passivity enforcement in one region does not lead to passivity violation in other regions.

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Author(s): 

ABDANAN MEHDIZADEH SAMAN

Issue Info: 
  • Year: 

    2015
  • Volume: 

    46
  • Issue: 

    1
  • Pages: 

    9-17
Measures: 
  • Citations: 

    0
  • Views: 

    848
  • Downloads: 

    0
Abstract: 

A survey intended to determine the spring and damper settings of ITM285 tractor’s cabin that ensured the optimal ride comfort of the tractor operator was conducted. Analysis was done in terms of Root Mean Square Acceleration Response (RMSAR) within one-third-octave band and International Standard Organization (ISO). Optimization was performed using Particle Swarm Optimization (PSO) method on a 2 DOF modeled in MatLab software for frequencies ranging from 1 to 10 Hz. The obtained figures for C1, C2, K1 and K2 were 943 (Ns/m), 850 (Ns/m), 3927 (N/m) and 26199 (N/m), respectively. Modeling tractor cabin, applying optimized parameters according to ISO 2631-1985, showed 16.7, 10.1, 11.5 and 12.2 % reduction in rise time, peak time, settling time and max. overshoot of the tractor cabin displacement. Therefore, the transmitted vibration was diminished, and and improvement in the ride comfort of the tractor operator achieved.

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Author(s): 

GREFENSTETTE JOHN

Issue Info: 
  • Year: 

    1986
  • Volume: 

    16
  • Issue: 

    1
  • Pages: 

    0-0
Measures: 
  • Citations: 

    1
  • Views: 

    120
  • Downloads: 

    0
Keywords: 
Abstract: 

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    2019
  • Volume: 

    7
  • Issue: 

    1
  • Pages: 

    00-00
Measures: 
  • Citations: 

    0
  • Views: 

    131
  • Downloads: 

    74
Abstract: 

The use of lasers is being considered as a modern method for forming process in recent years. This method has been used in various industries, such as aerospace, marine and oil industry. Extensive research has been done in the field of modeling and optimization of direct paths parameters with process of laser forming. Although forming in circular paths can be used for producing complex parts, due to some technical reasons, it is considered less. The main purpose of this paper is to detect the proper estimation model and obtain optimal variables conditions for complete circular paths in perforated circular parts by means of genetic algorithms. In this process the outer edges are fixed and the inner edges are being formed by laser. At first, the finite element simulation model is studied then the estimation model has been discussed, after that multi-objective functions have been examined with the least error and energy. Furthermore, the optimization results of the internal hole diameters are reported and analyzed in terms of Pareto charts. In conclusion, optimum forming conditions have been reported in terms of accuracy and energy for different diameters of holes. This study shows with acceptable increasing in the error rate, the required energy could be reduced. Also, increasing in the diameter of inside hole cause to increase energy and decrease of accuracy.

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Issue Info: 
  • Year: 

    2011
  • Volume: 

    1
  • Issue: 

    3
  • Pages: 

    475-484
Measures: 
  • Citations: 

    0
  • Views: 

    232
  • Downloads: 

    0
Abstract: 

control problem and for the satisfactory operation of a flood-prediction service. A simple conceptual model like the Muskingum model is very effective for the flood routing process.One challenge in application of the Muskingum model is that its parameters cannot be measured physically. In this article we proposed imperialist competitive algorithm (ICA) for optimal parameter estimation of the linear Muskingum model. This algorithm uses imperialism and imperialistic competition process as a source of inspiration. Optimization to identify Muskingum model parameters can be considered as a suitable field to investigate the efficiency of this algorithm.

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Issue Info: 
  • Year: 

    2024
  • Volume: 

    3
  • Issue: 

    1
  • Pages: 

    68-80
Measures: 
  • Citations: 

    0
  • Views: 

    5
  • Downloads: 

    0
Abstract: 

Biohydrogen production is a green method that utilizes organic materials in activated sludge as a substrate. The process involves microorganisms contracting the volume of the sludge content to produce hydrogen, CO2, CH4, and etc. However, the efficiency of this process is low. In this study, bioaugmentation was carried out by inoculating a 10% Escherichia coli suspension adapted in whey and activated sludge medium. The effects of parameters such as pH, temperature, and stirring, the concentration of whey as carbon source and nitrate as nitrogen source on hydrogen production were screened using the Plackett-Burman method with Minitab 21 software. Among the selected parameters, pH, temperature, concentration of whey and nitrate were found to be the most effective parameters in hydrogen production and were further optimized using Response surface methodology. Stirring wasn’t statistically significant. The optimum conditions for hydrogen production were pH=5.4, temperature=39 ˚C, whey concentration=30 g/L, and nitrate concentration=3.6 g/L. Under these conditions with a 10% inoculation, the total volume of gas production was extended to 1.61 L per liters of activated sludge with 0.046 mole H2 per liters of activated sludge. Comparing the bioaugmentation method with other method showed that the total time of the process decreased by 8 hours. Additionally, hydrogen production started after 10 hours of incubation and reached its maximum value in 16 hours, resulting in a 59% increase in productivity in less than 16 hours.

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Issue Info: 
  • Year: 

    2015
  • Volume: 

    4
Measures: 
  • Views: 

    120
  • Downloads: 

    66
Keywords: 
Abstract: 

MEDICINAL PLANTS HAVE BEEN INCREASINGLY USED FOR THE PRODUCTION OF HERBAL DRUGS AS A RELIABLE ALTERNATIVE OR SUPPLEMENT TO THE CONVENTIONAL MEDICINES. ONE OF THE MOST CRITICAL STEPS FOR THE DEVELOPMENT OF HERBAL PRODUCTS IS THE EXTRACTION OF ACTIVE INGREDIENTS FROM THE MEDICINAL PLANTS. …

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Author(s): 

Journal: 

ENVIRON PROCES

Issue Info: 
  • Year: 

    0
  • Volume: 

    4
  • Issue: 

    3
  • Pages: 

    563-572
Measures: 
  • Citations: 

    1
  • Views: 

    158
  • Downloads: 

    0
Keywords: 
Abstract: 

Yearly Impact: مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Issue Info: 
  • Year: 

    1403
  • Volume: 

    1
  • Issue: 

    3
  • Pages: 

    35-47
Measures: 
  • Citations: 

    0
  • Views: 

    5
  • Downloads: 

    0
Abstract: 

با گسترش شبکه های کامپیوتری و رشد روزافزون کاربردهای مبتنی بر اینترنت اشیاء (IoT)، شبکه های حسگر بی سیم (WSN)، و شبکه های پویا مانند MANET، مساله بهینه سازی مسیریابی به یکی از چالش های بنیادین در علوم رایانه و مهندسی شبکه تبدیل شده است. الگوریتم های سنتی همچون دایکسترا و بلمن-فورد اگرچه در محیط های پایدار کارایی نسبی دارند، اما به دلیل محدودیت در سازگاری با تغییرات دینامیک و چندهدفه بودن مسائل جدید، پاسخگوی نیازهای محیط های مدرن نیستند. در این راستا، هدف اصلی این مقاله، بررسی جامع نقش و کارایی الگوریتم فاخته (Cuckoo Optimization Algorithm - COA) به عنوان یک الگوریتم فراابتکاری نوین در بهینه سازی مسیریابی شبکه های کامپیوتری است. الگوریتم فاخته با الهام از رفتار تولیدمثل انگلی پرنده فاخته و سازوکار پرش های Lévy، به عنوان رویکردی ساده اما توانمند به ویژه برای حل مسائل غیرخطی، چندهدفه و پویا معرفی شده است. در این مقاله، ضمن تبیین ساختار، مراحل اجرایی و مزایا و معایب الگوریتم فاخته نسبت به روش های دیگر (مانند PSO، GA و ACO)، به مرور مطالعات میدانی و شبیه سازی های انجام شده در حوزه های WSN، MANET، SDN و IoT پرداخته شده است. نتایج پژوهش های گذشته نشان می دهد استفاده از COA سبب کاهش محسوس مصرف انرژی، بهبود نرخ تحویل بسته و افزایش طول عمر شبکه نسبت به الگوریتم های جایگزین شده است. همچنین، کاربردهای عملی COA در محیط های پویا و دارای تغییرات سریع توپولوژی، قابلیت ها و برتری های بیشتری نسبت به رقبای خود آشکار ساخته است. در ادامه، مقاله با تمرکز بر نتایج مقایسه ای میان COA و دیگر الگوریتم های فراابتکاری، نشان می دهد که الگوریتم فاخته به سبب سادگی ساختار، سرعت همگرایی بالا و توان جستجوی جامع تر، برای کاربردهای شبکه ای خصوصاً در سناریوهای داده محور و نوظهور، انتخاب مناسبی است. با این حال، چالش هایی نظیر نیاز به تنظیم بهینه پارامترها، تطبیق محدود با مسائل گسسته و عدم وجود استانداردسازی جامع نیز شناسایی شده است. بر همین اساس، پیشنهادهای پژوهشی آینده، بهره گیری از ترکیب COA با سایر الگوریتم ها، توسعه نسخه های یادگیری محور و به کارگیری آن در محیط های واقعی و بزرگ مقیاس را مورد تاکید قرار می دهد.

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