@article { author = {Arabkoohsar, A. and Farzaneh-Gord, M. and Koury, R.}, title = {Proposing a Novel Configuration for CGSs Aimed at Reducing Energy Consumption and Exergy Destruction}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {5-27}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {A CGS is of the most important parts in natural gas transmission pipelines in which the high inlet natural gas (NG) pressure is reduced to much lower value by employing a throttling valve. This pressure drop causes hydrate forming, preventing stable NG flow through the pipeline. To prevent hydrate forming, NG is usually preheated by heaters which burns remarkable amount of NG. In this work, a novel configuration for CGSs is proposed in which solar heat is utilized to decrease fuel consumption and a turbo expander is employed to utilize the available exergy in the NG stream to produce power. Finally, an economic analysis is done on the proposed configuration based on NPV method in order to calculate optimum cost of capital and the configuration efficiency.}, keywords = {Natural gas pressure drop station,Turbo-expander,Solar heater system,Net Present Value}, url = {https://jmee.isme.ir/article_19595.html}, eprint = {https://jmee.isme.ir/article_19595_ee9804666348c00b6f607b4575ed0507.pdf} } @article { author = {Aghaei, A.R. and Sheikhzadeh, Gh. A. and Khorasanizadeh, H. and Ehteram, H. R.}, title = {Effect of Magnetic Field on Heat Transfer of Nanofluid with Variable Properties on the Inclined Enclosure}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {28-38}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {The purpose of this study is to investigate the effect of magnetic field on the fluid flow and natural convection of CuO-water nanofluids with variable properties in an inclined square enclosure. The horizontal walls of cavity are insulated, the left sidewall assumed as hot wall and the right sidewall assumed as cold wall. Effects of Rayleigh numbers 103, 104, 105 and 106, Hartmann numbers 0, 10, 50, with horizontal angles of cavity, ,  and , and solid volume fraction of nanoparticles 0%, 2% and 4% are explored. Governing equations were solved numerically using finite volume and the SIMPLER algorithm. The result show that with applying magnetic field and increasing it, the velocity of nanofluids and thus the power of fluid decreases and behavior of nanofluids is more close to thermal conductivity than natural convection. At all ranges of studied Rayleigh numbers and volume fractions, with increasing the Hartmann number, the average Nusselt number decreases. Also with increasing cavity angle with the horizontal axis, the values of Nusselt number on the all ranges of Rayleigh numbers decreases.}, keywords = {Nano-fluid,Natural convection,Magnetic field,Variable properties,Numerical solution}, url = {https://jmee.isme.ir/article_19597.html}, eprint = {https://jmee.isme.ir/article_19597_647199586d8e852e9ccf8b80ebfb6cb9.pdf} } @article { author = {Rezaeian, J. and Taheri, A. and Haghaiegh, S.}, title = {Prediction of Surface Roughness by Hybrid Artificial Neural Network and Evolutionary Algorithms in End Milling}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {39-47}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {Machining processes such as end milling are the main steps of production which have major effect on the quality and cost of products. Surface roughness is one of the considerable factors that production managers tend to implement in their decisions. In this study, an artificial neural network is proposed to minimize the surface roughness by tuning the conditions of machining process such as cutting speed, feed rate and depth of cut. The proposed network is tested by many test problems of Ghani et al.[1] study and the weights of network are optimized by using three meta-heuristics, genetic algorithm (GA), imperialist competitive algorithm (ICA). The results show the efficiency and accuracy of the proposed network.}, keywords = {End milling,genetic algorithm,Imperialist Competitive Algorithm,Surface roughness,Artificial neural network}, url = {https://jmee.isme.ir/article_19600.html}, eprint = {https://jmee.isme.ir/article_19600_67ddf4b08c88eba4ae76f8068090c0d0.pdf} } @article { author = {Mahmoodi, M. and Pirkandi, J. and Khoramdel, K.}, title = {Simulating Cooling Injection Effect of Trailing Edge of Gas Turbine Blade on Surface Mach Number Distribution of Blade}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {48-67}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {In this research, a gas turbine blade cascade was investigated. Flow analysis around the blade was conducted using RSM and RNG.K-ε turbulence modeling and it is simulated by Fluent software. The results were considered for the cases as Mach number loss at the trailing edge of blade caused by vortexes that were generated at the end of blade. Effect of cooling flow through the trailing edge on the Mach number distribution was also studied at the blade surface. Present results using RSM and RNG. K-ε turbulence modeling showed that the agreement was good and the capability of the applied model was strong enough to analyze such a complicated flow behavior. According to results from the Mach number distribution on the blade surface, air injection reduces the flow loss at the trailing edge. Comparison of the results shows that air injection at a rate of 3 percent of inlet total air to blade row make changes location of shock on the surface of blade and the loss in turbine blade decreases about 0.7%.}, keywords = {Gas turbine blade,Trailing edge,Cooling effect,Cascade,RNG.K-ε and RSM turbulence models}, url = {https://jmee.isme.ir/article_19601.html}, eprint = {https://jmee.isme.ir/article_19601_e21cf0d5b126e7f14399d31c02235cb1.pdf} } @article { author = {Shahidian, Azadeh and Mohammadi, M. R. and Ghasemi, Majid}, title = {Numerical Simulation of Blood Flow Mixed with Magnetic Nanoparticles under the Influence of AC and DC Magnetic Field}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {68-81}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {Nanoparticles combined with magnetic fields are one of the most important research areas in the field of biomedical engineering. Direct Current (DC) magnetic and Alternative Current (AC) magnetic fields are often used for controlling nanoparticles. It is also used for hyperthermia treatment. The purpose of the current study is to investigate the effect of DC and AC magnetic field on nanoparticles mixed with biofluid (non-Newtonian blood).The coupled nonlinear equations continuity, momentum, concentration and energy are solved with finite volume code. Results show that increase in blood temperature doesn’t influence the nanoparticles concentration as well as the velocities and pressure distribution of bloodinside the channel. In addition results show that the DC magnetic field absorbs magnetic nanoparticles and the AC magnetic field induces energy into nanoparticles. Also the eddy current, as the only source of energy in this study, doesn’t change the blood flow temperature. Finally it is shown that magnetic nanoparticles mixed with magnetic fields are a good tool for medical applications.}, keywords = {Magnetic Nanoparticle,Blood flow,Magnetic field,Temperature,Simulation}, url = {https://jmee.isme.ir/article_19603.html}, eprint = {https://jmee.isme.ir/article_19603_4fe598dcca0795dc00021ff9a2254b47.pdf} } @article { author = {Kamgar, S. and Dadi, V.}, title = {Emission Performance of a Diesel Engine Running on Biodiesel Fuel at Different Compression Ratios}, journal = {Iranian Journal of Mechanical Engineering Transactions of the ISME}, volume = {15}, number = {1}, pages = {82-98}, year = {2014}, publisher = {Iranian Society of Mechanical Engineering}, issn = {1605-9727}, eissn = {}, doi = {}, abstract = {In the present study emission performance of a diesel engine (Lister Petter) was evaluated at different compression ratios and engine loads with soybean methyl ester and its 25%, 50%, 75% blends with diesel fuel at constant speed 1500 rpm. Exhaust emissions included CO, CO2, HC and NOx. The compression ratio and engine load varied from 14 to 20 with an interval 1 and 25 to 100% with an interval 25%, respectively. The experimental results indicated that for all combination of compression ratios and engine loads, it could be concluded that B75 and B100 could be safely blended without significantly affecting the emissions (CO, CO2, HC and NOx). Concerning the costs, B75 is more economical than B100. Thus B75 could be a cleaner, more appropriate alternative fuel than pure diesel.}, keywords = {Compression ratio,Engine load,Exhaust emissions,Soybean methyl ester}, url = {https://jmee.isme.ir/article_19605.html}, eprint = {https://jmee.isme.ir/article_19605_cb44eab0d976b341ce43759107b82167.pdf} }