ISSN Number

ISSN: 2147-9690

Turkish Journal of Engineering, Sciences and Technology

2015 Volume 3 Issue 1


Studies On Optimization Of Rougher Wet High Intensity Magnetic Separator To Recover Ilmenite From Placer Heavy Minerals 

T. Laxmia, R. Bhima Raoa,

aInstitute of Minerals and Materials Technology (Council of Scientific and Industrial Research) Bhubaneswar, India


This paper details the optimization of rougher Wet High Intensity Magnetic Separator (WHIMS) using response surface methodology. The optimization is in parametric form and takes account of the major operating variables in WHIMS operation such as current in ampere and grid gap in inch. The objective is to recover ilmenite mineral from red sediment deposits of Srikakulam, India by optimizing the rougher WHIMS. We predict mineral recoveries as a function of current and grid gap. Combination of these predictions with assay data provides predictions of mineral grades and recoveries. The optimized response was validated against data derived from laboratory-scale rougher WHIMS test work, comprising (i) mineral grade, (ii) mineral recovery, and (iii) separation efficiency of the process. We observed close match between the experimental and the predicted data over most of the operational range. This paper describes how the optimization was carried out using the response surface methodology along with MATLAB. The response surface was used to closely investigate the separation of ilmenite mineral by varying ampere and grid gap. The results show that under optimum conditions such as 3.5 amp current and 2 inch grid gap the mineral grade could reach as high as 87.9% in the concentrate with 74.3 % recovery and 74.4% yield.

Keywords: Red sediment,  Wet High Intensity Magnetic Separator,  Optimization,  Ilmenite,  Placer heavy minerals

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Power Series Optimization for Submarine bare hull Form

Mohammad Moonesuna , Yuri Mikhailovich Korolb, Hosein Dalayelic ,Davood Tahvildarzadec, Mehran Javadic, Mohammad Jelokhaniyanc

aNational University of Shipbuilding Admiral Makarov (NUOS), Faculty of Ship Design, PhD student ,Ukraine

bNational University of Shipbuilding Admiral Makarov (NUOS), Faculty of Ship Design, Professor in ship design, Ukraine

cFaculty of MUT, Shahin shahr, Iran


This paper presents the best form of submarine bare hull according to power series equations for minimizing the resistance. There are several types of hydrodynamic form of submarines which the most famous equations are "power series" equations. In these formulas, there are two coefficients which affect the submarine bow and stern form. This paper, has studied the several forms by changing these coefficients, and CFD analysis are performed on these shapes for achieving the minimum resistance. In this paper, only bare hull form are studied without appendages. Bare hull has three main parts: bow, cylinder and stern. This analysis is performed by Flow Vision (V.2.3) software based on CFD method and solving the RANS equations.

Keywords: Submarine, hull, form,  shape,  hydrodynamic, power series, resistance.                   

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Energy and Performance-aware Virtual Machine Consolidation in Cloud Computing A Two Dimensional Approach

A. Horri a, A. Rahmaniana and GH. Dastghaibyfarda

aCollege of Electrical and Computer Engineering, Shiraz University, Iran


Today's data centers, which are the main infrastructures of cloud computing, consume enormous amounts of electrical energy. The rising cost of energy and the demand to reduce CO2 emissions are the main challenges of today research and the main concerns about the energy efficiency in such data centers. The energy consumption of under-loaded resources, in a data center, accounts for a substantial amount of energy use. 

Cloud providers must offer a flexible service delivery to meet various consumer requirements. However, there is a challenging trade-off between minimizing energy consumption and ensuring quality of service (QoS).

This study proposes a novel QoS-aware VMs consolidation approach for data centers, which adopt a method based on historical data of CPU and memory of virtual machines. ‎‎‎‎‎‎‎‎ Simulation results of the proposed method with cloudsim show improvement in QoS metrics and energy consumption‎..  

Keywords: Green computing,  Energy efficiency,  Cloud computing,  Virtual machine consolidation                            

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Minimum immersion depth for eliminating free surface effect on submerged submarine resistance

Mohammad Moonesuna, Yuri Mikhailovich Korolb

aNational University of Shipbuilding Admiral Makarov (NUOS), Faculty of Ship Design, PhD student ,Ukraine

bNational University of Shipbuilding Admiral Makarov (NUOS), Faculty of Ship Design, Professor in ship design, Ukraine


This paper offers the minimum depth of submergence of a submarine which the free surface effect on resistance, could be eliminated. For ships in calm water, the free surface of water, causes wave resistance but for a submarine at the deep depth of water (fully submerged depth), there is not wave resistance because there is not a free surface. In every depth between surface mode and fully submerged mode, the movement of a submarine or torpedo, causes turbulence on the surface of water. This paper tries to define minimum depth as fully submerged depth which in this depth, free surface effect and wave resistance could be ignorable. This depth is depended on the dimensions of a submarine. In this paper, only bare hull without appendages is considered. This analysis is performed by Flow Vision (V.2.3) software based on CFD method and solving the RANS equations. Two models of torpedo shape with different ratios of L/D, are simulated in several depths but in a constant speed.

Keywords:  Free surface,  submarine,  resistance,  hydrodynamic.

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Artificial Cooperative Search Algorithm for Optimal Loading Of Multi-Chiller Systems

Oğuz Emrah Turguta, Mustafa Askerb, Mustafa Turan Çobana

aDepartment of Mechanical Engineering, Ege University, İzmir, Turkey

bDepartment of Mechanical Engineering, Adnan Menderes University, İzmir, Turkey


This study proposes Artificial Cooperative Search (ACS) algorithm to solve Optimal Chiller Loading problems and to cope with the difficulties of traditional optimization methods. ACS is a swarm based meta-heuristic algorithm which mimics the migration behavior of two artificial super-organisms as they interact each other to find global best solution of the corresponding problem. Partial Load Ratio (PLR) is selected as a decision variable to be optimized as main objective of this problem is to minimize total energy consumption of system. Case studies adopted from literature are utilized for testing the performance of ACS algorithm. Results of ACS are compared with those obtained from Artificial Bee Colony, Quantum behaved Particle Swarm Optimization, Cuckoo Search, and literature approaches.  Comparisons indicate that ACS algorithm surpasses other optimization methods in terms of solution efficiency and accuracy.

Keywords: Artificial Cooperative Search, Decoupled System, Energy Conservation, Optimal Chiller Loading                     

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