Numerical Investigation of 2D Lid Driven Cavity using Smoothed Particle Hydrodynamics (SPH) Method

This paper describes the formulation of fluid equation in application of Smoothed Particle Hydrodynamics (SPH) and ability of meshfree SPH method to model lid driven cavity problem. Although the lid driven cavity problem are usually successfully solved using traditional Finite Difference Method (FDM), they are all depends on the mesh ability. This SPH method is relatively new approach in solving fluid flow problem. The SPH method can be used to discretize the Navier–Stokes equation that governs fluid flows. In the present study, the ability of the meshless SPH method are investigate in simulating the fluid flow which is in 2D lid driven cavity problem. The result of this problem using meshfree SPH method is compare to the solution done using meshing software Fluent with Reynold Number 1 and it shows that the SPH method give good comparison to the FDM method

Greenhouse Gas Reduction by Utilization of Cold LNG Boil-off Gas

This paper present the analysis of utilization the cryogenic temperature of Boil off Gas (BOG) from Liquefied Natural Gas (LNG) to flow air inside insulation space of LNG. Three Dimensional geometry of the tank are model in Computational Fluid Dynamic (CFD) ANSYS Fluent software package using steady state and K-Epsilon turbulence model. Result shows that almost 60% of BOG can be prevented from flared to the atmosphere thus will reduce Greenhouse Gas (GHG) emission and pollution

Simulation of ant colony optimization on hole making performance

Hole making operation one of machining process widely used in industrial industry. One of the main criteria in determining the efficiency of machining performance in hole making operation is shortest machining time. In this paper, simulation approach based on Ant colony optimization (ACO) has been done on hole making operation in order to minimize the machining time. The result based on ACO has been compared with the result obtain based on Genetic Algorithm (GA). Based on the simulation results, the ACO is enhance the performance of hole making process by reducing 13.5% of machining time. The results show that ACO is capable to minimize the machining time of hole making procees

Greenhouse Gas Reduction by Utilization of Cold LNG Boil-off Gas

AbstractThis paper present the analysis of utilization the cryogenic temperature of Boil off Gas (BOG) from Liquefied Natural Gas (LNG) to flow air inside insulation space of LNG. Three Dimensional geometry of the tank are model in Computational Fluid Dynamic (CFD) ANSYS Fluent software package using steady state and K-Epsilon turbulence model. Result shows that almost 60% of BOG can be prevented from flared to the atmosphere thus will reduce Greenhouse Gas (GHG) emission and pollution

Boil-off gas formation inside large scale liquefied natural gas (LNG) tank based on specific parameters

Liquefied Natural Gas (LNG) fleets are coasting with various condition and behavior. These variable leads to different type of LNG fleets build every year with unavoidable generated Boil-off Gas (BOG). Estimation of BOG generated inside LNG tank play significant role in determines the ship specification and management method of BOG including venting, propulsion or requalification. Hence, in the present study, the right choices of boundary condition and parameter have been implementing in order to have good estimation amount of BOG evaporates for specific LNG tank. Three dimensional model of cargo with capacity 160000 m3 LNG carrier are simulate using ANSYS Fluent with specific ambient air temperature of 5oC and ambient seawater temperature of 0oC have been chosen as a calculation case, gain the total heat transfer rate and Boiloff Rate (BOR). The result shows that the calculation model and simulation are feasible with typical LNG fleet specification and International Marine Organization (IMO) standard

Effect Of Cooling Rate On Microstructures And Mechanical Properties Of C102 Copper Alloy

The objective of this study is to illustrate the effect of two types of heat treatment on microstructure and mechanical properties of C102 copper alloy. Annealing and quenching were conducted to study the effect of cooling rate on material. Specimens were heated at 350, 400 and 500oC and were cooled by using two types of cooling medium; furnace cooling and water quench. Tensile strength of 254.6 MPa was obtained for the asreceived specimen. It was shown that an increase in cooling rate contributed to a higher strength due to local strain effect. Rapid cooling in quenched specimen had successfully increase the hardness by 41% and recorded the highest tensile strength of 359 MPa while slow cooling rate which experienced by an annealed specimen resulted in the lowest tensile strength of 136 MPa. Microstructure investigation shows annealed specimen produced coarse austenitic structure with larger grain size. Meanwhile, quenched specimen produced finer austenitic structure with smaller grain size. It was observed that the grain size of annealed specimen was increased with soaking temperature, however, quenched specimen shows the other way around

The use of cement leftovers from the hollow of spun piles as an additive in self-compacting concrete

Spun piles have been used widely by developing countries, including Malaysia, to construct the foundation of most construction projects. A spun pile is a reinforced precast and prestressed concrete that is compacted in a mould through spinning compaction. The spinning compaction produces cement leftovers in the hollow part of spun piles that can be added to concrete mixtures as an additive. The cement leftovers of spun piles were used as an additive in cement in range of 0%, 10%, 20% and 30% (equal percentages). The resulting compressive strength after curing periods of 7 days and 28 days were presented to investigate the properties of self-compacting concrete containing cement leftovers from the spun piles. Other properties investigated include the physical properties of fresh concrete and water absorption. The results indicated that higher compressive strength and lower water absorption were achieved by the concrete samples containing cement leftovers compared to controlled concrete

Minimization of tool path length of drilling process using particle swarm optimization (PSO)

In the era of challenging economic, the industry in our country has been forced to produce a good quality product and increase the productivity of machining process simultaneously in order to compete with other countries. Drrilling process is one of a very important cutting process in industry. In a drilling for machining by Computer Numerical Control (CNC) such as drilling machines, the parameter of the tool routing path for the machining operation plays a very important role to minimize the machining time (Tiwari 2013, Rao and Kalyankar 2012) . This machine can be used with procedures for drilling, spreading, weaning and threading with a lot of the holes precisely. In order to increase the efficiency and productivity of drilling process, optimization on parameters of process can lead to better performance. Optimization of holes drilling operations will lead to reduction in time order and better productivity of manufacturing systems. Optimizing the tool path has played an important role, especially in mass production because reducing the time to produce one piece eventually lead to a significant reduction in the cost of the entire series (Pezer, 2016). In various publications and articles, scientists and researchers adapted several methods of artificial intelligence (AI) or hybrid optimization method for tool path artificial immune system (AIS), genetic algorithms (GA), Artificial Neural networks (ANN) Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) (Narooei and Ramli, 2014). These methods were been proven that can produce better performance and increase the productivity of drilling process. Therefore, in this study, the Particle Swarm Optimization (PSO) algorithm was develop in order to minimizing the tool path length in the drilling process which can produce the better results for the required machining time process. For this study, the main purpose is to apply the Particle Swarm Optimization (PSO) algorithm for use in searching for the optimal tool routing path for in simulation of drilling proces

Study of primary stability of hip implant for semi hip replacement by using finite element analysis

One factor contributing to the failure of hip arthroplasty or hip surgery is the loosening of the hip implant. Loosening of the hip implant is assessed by primary stability that is associated with the relative displacement occurring at the interface between the bone and the implant. The geometrical of hip implant significance influ-ences the primary stability. Hence, this paper investigated the effect of the geometry of the implant to the primary stability. A three-dimensional of femur was constructed based on the computed tomography dataset acquired from a Malaysian patient. In contrast, the type of hip implant was produced based on the dimension of the bone. The finite element method was implemented to simulate the primary stability based on normal walking conditions. Then, the primary stability is defined based on the differences of displacement at the interface of the bone and implant interface. From the analysis, it was found that rectangular hip implants led to the better stability at the proximal area and the tips distal end of the implant. It can be concluded that the finite element method predicted the implant’s primary stability and enhanced the surgery’s performanc

Study of primary stability of hip implant for semi hip replacement by using finite element analysis

One factor contributing to the failure of hip arthroplasty or hip surgery is the loosening of the hip implant. Loosening of the hip implant is assessed by primary stability that is associated with the relative displacement occurring at the interface between the bone and the implant. The geometrical of hip implant significance influ-ences the primary stability. Hence, this paper investigated the effect of the geometry of the implant to the primary stability. A three-dimensional of femur was constructed based on the computed tomography dataset acquired from a Malaysian patient. In contrast, the type of hip implant was produced based on the dimension of the bone. The finite element method was implemented to simulate the primary stability based on normal walking conditions. Then, the primary stability is defined based on the differences of displacement at the interface of the bone and implant interface. From the analysis, it was found that rectangular hip implants led to the better stability at the proximal area and the tips distal end of the implant. It can be concluded that the finite element method predicted the implant’s primary stability and enhanced the surgery’s performanc