This research investigated the physical properties of Jatropha oil to determine its viability as a clean and renewable source of lubricant oil. The study was performed using a four-ball tribotester, CCD camera, digital microscope and viscosity meter. The experiment was conducted using different temperatures (55, 75 and 105°C). The experiment was conducted of constant parameters as speed; load and time under the American Society for Testing and Materials (ASTM), number D 4172.The data included the evaluation of anti-wear, anti-friction and viscosity of Jatropha oil. To evaluate lubricant ability all results of this research were compared to findings regarding hydraulic oil as a mineral oil-based lubricant. The results showed that, under various temperatures Jatropha oil had better lubricant ability compared to hydraulic mineral oil.
A queuing network model related to arrival, departure and berthing process of ships at port container terminal is presented in this paper. The important datas collected from PTP port container terminal located at Malaysia. Based on the case study the model was built with using Arena 13.5 simulation software. Especially this study proposes a hybrid approach consisting of Genetic algorithm (GA), Artificial Neural Network (ANN) to find the the optimum number of equipments at berthing area of port container terminal. The input data that used in ANN obtained from Arena results. The main goal of this study is reduced waiting time of each ship at port container terminal, and Based on the result the optimum waiting time 50 will be achieved.
One of the controversial issues in manufacturing companies is bottleneck. Managers and engineers try to deal with this difficulty to improve the productivity such as increasing resource utilization and throughput. One color factory is selected as a case study in this paper. This company tries to identify and decrease the bottlenecks in the production line. The goal of this paper is building the simulation model of production line to improve the productivity by analyzing the bottleneck. To achieve this goal, statistical method named design of experiment (DOE) was performed in order to find the optimum combination of factors that have the significant effect on the process productivity. The analysis shows that all of the main factors have a significant effect on the production line productivity. The optimum value of productivity is achieved when the number of delpak mixer (C) and number of lifter (D) to be located at high level that is equal to 2 and 2 respectively. The most significant conclusion of this study is that 3.2 labors are required to reach maximum productivity based on the resource utilization and cost. It means that 3 full time labors and one part time labor should be employed for the production line.
Queuing problems present a gap in the availability of knowledge at port container terminals. This study is focused on various types of services for port container terminal queuing system. The purpose of this paper is to introduce a methodology to decrease waiting time without any reduction in productivity. A new approach for servicing at the queue is proposed, and with this idea waiting time will be reduced without any change in productivity or additional cost. To execute this approach in a port container terminal, berthing areas of the port are simulated with ARENA 13.5, and this new approach is implemented in the model. The result of this change are compared with results of a port container terminal as case study. With implementing this method the waiting time is reduced dramatically and productivity increased slowly.
The present study aims to investigate the optimized profile of the body through minimizing the Drag coefficient in certain Reynolds regime. For this purpose, effective aerodynamic computations are required to find the Drag coefficient. Then, the computations should be coupled thorough an optimization process to obtain the optimized profile. The aerodynamic computations include calculating the surrounding potential flow field of an object, calculating the laminar and turbulent boundary layer close to the object, and calculating the Drag coefficient of the object’s body surface. To optimize the profile, indirect methods are used to calculate the potential flow since the object profile is initially amorphous. In addition to the indirect methods, the present study has also used axial singularity method which is more precise and efficient compared to other methods. In this method, the body profile is not optimized directly. Instead, a sink-and-source singularity distribution is used on the axis to model the body profile and calculate the relevant viscose flow field.
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