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In order to draw in and compass gas (most usually air) into the gas turbines, compressor section is designed. Then, the compressed air will be combined with fuel to generate heat and extract power. Blades of the compressor section of the gas turbine can be produced by machining operations. Machining operations of turbine blades by using 4 and 5 Axis CNC machine tools are always with complexities and challenges which can be analyzed and optimized. So, research works which can increase efficiency of blades production are always in attention of manufacturing companies.
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In order to draw in and compass gas (most usually air) into the gas turbines, compressor section is designed. Then, the compressed air will be combined with fuel to generate heat and extract power. Blades of the compressor section of the gas turbine can be produced by machining operations. Machining operations of turbine blades by using 4 and 5 Axis CNC machine tools are always with complexities and challenges which can be analyzed and optimized. So, research works which can increase efficiency of blades production are always in attention of manufacturing companies.
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To analyze and modify manufacturing process in virtual environments, mathematical modelling can be used. Effects and behavior of the system are simulated by mathematical concepts in order to be analyzed and modified. So, different parameters of the process can be analyzed in order to be optimized. Thus, efficiency of part production can be increased by applying optimization methods to the simulated manufacturing process in virtual environments. Modification can also be presented to the simulated system in virtual environments by analyzing and decreasing errors of manufacturing process. Therefore, accuracy of produced parts can be increased in order to improve efficiency of part production. Overall, mathematical modelling can develop manufacturing process by providing analysis abilities in virtual environments.
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In the present work, we use the homotopy perturbation method (HPM) to solve the Newell- Whitehead-Segel non-linear differential equations. Four case study problems of Newell-Whitehead- Segel are solved by the HPM and the exact solutions are obtained. The trend of the rapid convergence of the sequences constructed by the method toward the exact solution is shown numerically. As a result the rapid convergence towards the exact solutions of HPM indicates that, using the HPM to solve the Newell-Whitehead-Segel non-linear differential equations, a reasonable less amount of computational work with acceptable accuracy may be sufficient. Moreover the application of the HPM proves that the method is an effective and simple tool for solving the Newell-Whitehead-Segel non-linear differential equations
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Increased aeration of the soil; Stabilized soil structure; Higher and more diversified crop production; Better workability of the land; Earlier planting dates; Reduction of peak discharges by an increased temporary storage of water in the soil decomposition of organic matter; soil subsidence; reduced irrigation efficiency; increased risk of drought. excessive leaching of valuable nutrients from the soil; downstream environmental damage by salty or otherwise polluted drainage water; the presence of ditches, canals, and structures impending accessibility and interfering with other infrastructural elements of the land.
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To analyze and modify manufacturing process in virtual environments, mathematical modelling can be used. Effects and behavior of the system are simulated by mathematical concepts in order to be analyzed and modified. So, different parameters of the process can be analyzed in order to be optimized. Thus, efficiency of part production can be increased by applying optimization methods to the simulated manufacturing process in virtual environments. Modification can also be presented to the simulated system in virtual environments by analyzing and decreasing errors of manufacturing process. Therefore, accuracy of produced parts can be increased in order to improve efficiency of part production. Overall, mathematical modelling can develop manufacturing process by providing analysis abilities in virtual environments.
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In the present work, we use the homotopy perturbation method (HPM) to solve the Newell- Whitehead-Segel non-linear differential equations. Four case study problems of Newell-Whitehead- Segel are solved by the HPM and the exact solutions are obtained. The trend of the rapid convergence of the sequences constructed by the method toward the exact solution is shown numerically. As a result the rapid convergence towards the exact solutions of HPM indicates that, using the HPM to solve the Newell-Whitehead-Segel non-linear differential equations, a reasonable less amount of computational work with acceptable accuracy may be sufficient. Moreover the application of the HPM proves that the method is an effective and simple tool for solving the Newell-Whitehead-Segel non-linear differential equations
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Increased aeration of the soil; Stabilized soil structure; Higher and more diversified crop production; Better workability of the land; Earlier planting dates; Reduction of peak discharges by an increased temporary storage of water in the soil decomposition of organic matter; soil subsidence; reduced irrigation efficiency; increased risk of drought. excessive leaching of valuable nutrients from the soil; downstream environmental damage by salty or otherwise polluted drainage water; the presence of ditches, canals, and structures impending accessibility and interfering with other infrastructural elements of the land.
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