In this paper aiming at the serious harm of drunk driving, the author designed a new device for banning drunk driving. By using the alcohol sensor to detect the change of the alcohol density close to the driver, conve...
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For the vehicle, lightweight means low fuel *** small quantity of exhausted *** this paper by using the finite element method, the author established the model of the truck side *** meshing, exerting constraint, loadi...
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For the vehicle, lightweight means low fuel *** small quantity of exhausted *** this paper by using the finite element method, the author established the model of the truck side *** meshing, exerting constraint, loading and calculating through finite element analysis software,the author obtained the deformation of the *** researching changes of the stress and strain in X, Y, Z three directions of the component,the author obtained chart of the stress and *** using the method of arithmetic, the author defined the internal dimension as design variables, the equivalent stress and the deformation as the state variables, and quality as the objective function to get the lightest side wall frame of the vehicle on the premise of warranty of the intensity and *** the result, we can see the framework after optimal design is still very strong to resist the stress and the deformation.
Based on finite element software DEFORM-3D,a three-dimensional oblique cutting model for aerospace aluminum alloy was *** material's flow stress behavior was described with Johnson-Cook constitutive *** separation...
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Based on finite element software DEFORM-3D,a three-dimensional oblique cutting model for aerospace aluminum alloy was *** material's flow stress behavior was described with Johnson-Cook constitutive *** separation of the chips with the workpiece was realized by the combination of adaptive remeshing technique and separation *** material's failure was defined by adopting Cockcroft & Latham fracture *** tool-chip friction model was the combination of a Coulomb friction model and shear(sticking)friction *** validate the finite element model,cutting tests were *** effects of tool geometrical parameters such as flank wear,cutting edge inclination and corner radius on cutting forces were analyzed by three-dimensional oblique finite element model.
The optimal filtering problem is studied for network control systems subject to random measurement delays without time stamps. With the given probability distribution of the delay, a new measurement model is proposed ...
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The optimal filtering problem is studied for network control systems subject to random measurement delays without time stamps. With the given probability distribution of the delay, a new measurement model is proposed subject to one measurement only received once and more than one measurement can received at one time. The delayed measurements are written as multiple channel measurements that contain the same state information as the original measurement and each channel has single constant delay. The optimal filter is derived by adopting a re-organized innovation analysis approach, and the filter is given in terms of Riccati difference equations.
In this study, the Taguchi method, a powerful tool to design optimization for quality, is used to find the optimal cutting parameters for turning operations. An orthogonal array, the signal-to-noise (S/N) ratio, is em...
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In this study, the Taguchi method, a powerful tool to design optimization for quality, is used to find the optimal cutting parameters for turning operations. An orthogonal array, the signal-to-noise (S/N) ratio, is employed to investigate the cutting characteristics of red copper tube using high speed steel W18Cr4 V cutting tools. Three cutting parameters namely, cutting speed, feed rate, and depth of cut, are optimized with considerations of micro groove fin quality. The experimental results show that best micro groove quality can be obtained by selecting the appropriate cutting parameters for the inner red copper tube. The experimental results also show that there is a definite significance to guide how to choose cutting parameters for P-E forming.
The law of sintering temperature’ changing during resistance furnace sintering is the very important technology information. Support vector machines (SVMs) have been successfully employed to solve nonlinear regressio...
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The law of sintering temperature’ changing during resistance furnace sintering is the very important technology information. Support vector machines (SVMs) have been successfully employed to solve nonlinear regression and time series problems. In order to improve time efficiency of prediction, a new sintered furnace temperature law prediction model and method based on SVM in this paper. Moreover, simulated annealing (SA) algorithms were employed to choose the hyperparameters of a SVM model. A comparison of the performance between SVM optimized by Particle Swarm Optimization (SVM-PSO) and SVM-SA is carried out. Experiments results demonstrate that SVM-SA can achieve better accuracy and generalization than the SVM-PSO. Consequently, the SVM-SA model provides a promising alternative for sintered furnace temperature law.
The law of sintering temperature' changing during resistance furnace sintering is the very important technology information. Support vector machines(SVMs) have been successfully employed to solve nonlinear regress...
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The law of sintering temperature' changing during resistance furnace sintering is the very important technology information. Support vector machines(SVMs) have been successfully employed to solve nonlinear regression and time series problems. In order to improve time efficiency of prediction, a new sintered furnace temperature law prediction model and method based on SVM in this paper. Moreover, simulated annealing(SA) algorithms were employed to choose the hyperparameters of a SVM model. A comparison of the performance between SVM optimized by Particle Swarm Optimization(SVM-PSO) and SVM-SA is carried out. Experiments results demonstrate that SVM-SA can achieve better accuracy and generalization than the SVM-PSO. Consequently, the SVM-SA model provides a promising alternative for sintered furnace temperature law.
With the development of high power LED technology, junction temperature as a key factor constrains the performance and the service life of LED, and the main parameter of junction temperature is thermal resistance. The...
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With the development of high power LED technology, junction temperature as a key factor constrains the performance and the service life of LED, and the main parameter of junction temperature is thermal resistance. Therefore, how to measure the thermal resistance of high power LED quickly and accurately plays an important part in improving the performance and the service life of LED. In this paper the accurate and fast measurement equipment was applied to study the thermal characteristics of high power LED. The forward-voltage based method was conducted to measure the junction temperature of high power. Then, support vector regression(SVR) combined with genetic algorithm(GA) for its parameter optimization, was proposed to establish a model to predict the thermal resistance of high power LED. The prediction performance of GA-SVR was compared with those of BPNN model. The result demonstrated that the estimated errors GA-SVR models, such as Mean Absolute Relative Error(MARE) and Root Mean Squared Errors(RMSE), all are smaller than those achieved by the BPNN applying identical samples.
In this paper, support vector regression with ant colony optimization is presented for the prediction of tool-chip interface temperature depends on cutting parameters in machining. Ant colony(ACO) optimization was dev...
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In this paper, support vector regression with ant colony optimization is presented for the prediction of tool-chip interface temperature depends on cutting parameters in machining. Ant colony(ACO) optimization was developed to optimize three parameters of SVR, including penalty parameter C, insensitive loss function ε and kernel function σ. SVR constructs hyperplane in high dimension space and fits the data in non-linear form. Normalized mean square error(NMSE) of fitting result is used as target of ant colony optimization. ACO finds the best parameters which correspond to the NMSE. The results showed that the proposed approach, by comparing with back-propagation neural network model, was an efficient way to model tool–chip interface temperature with good predictive accuracy.
Heat removal in packaged high-power light-emitting diode (LED) chips is critical to device performance and reliability. Thermal performance of LEDs is important in that lowered junction temperatures extend the LED'...
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Heat removal in packaged high-power light-emitting diode (LED) chips is critical to device performance and reliability. Thermal performance of LEDs is important in that lowered junction temperatures extend the LED's lifetime at a given photometric flux. Optionally, lower thermal resistance can enable increased brightness operation without exceeding the maximum allowable junction temperature for a given lifetime. The goal of this study is to improve the thermal characteristics of high-power LED package by using phase change heat sink. The heat-release characteristics of high-power LED package are analyzed and a novel phase change heat sink with 3D integral-fin boiling structures for high-power LED is developed. Two different fin structures were obtained in grooves formed with chopping-ploughing-extrusion compound forming technology and observed by scanning electron microscope (SEM).
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