Springback will occur when the external force is removed after bending process in sheet metal forming. This paper proposed an adaptive-network-based fuzzy inference system (ANFIS) model for prediction the springback angle of the SPCC material after U-bending. Three parameters were selected as the main factors of affecting the springback after bending, including the die clearance, the punch radius, and the die radius. The training data were obtained from results of U-bending experiment. The training data with four different membership functions – triangular, trapezoidal, bell, and Gaussian functions –were employed in the ANFIS to construct a predictive model for the springback of the U-bending. After the comparison of the predicted value with the checking data, we found that the triangular membership function has the best accuracy, which make it the best function to predict the springback angle of sheet metals after U-bending.
The aim of this paper is to develop a functional-based stack-up design system for stamping dies. By performing function analysis, function decomposition, and geometric analysis, design engineers are able to identify a particular die’s functional features and their main variables, which are used as the basic units for the stack-up design. This stack-up design system includes a die design knowledge base, a functional feature module, and graphic user interfaces. A functional-based stack-up design system has been implemented on a Windows operation system through interfacing Visual Basic codes with commercial software, CATIA and Automation API. To showcase the power of the system, an example of designing a lower of the drawing dies for roof outer panels is provided. Based on the experimental results, the system is an efficient, flexible and accurate stack-up system for designing die structures.
This study reported on Taguchi-Fuzzy logic model with statistical experiments to characterize the tungsten carbide/cobalt (WC-Co) deposited quality properties of the high-velocity oxygen-fuel (HVOF) process. The eight control factors were designed in a factorial orthogonal array experiment, and the effects of control parameters on the integrated surface properties were critically evaluated in the Taguchi designed experiments. A fuzzy logic system with knowledge bases in the inference engine was used to explore the relationships between variables and responses in the modified structures. In addition, the structure and properties of HVOF sprayed WC-Co coating were reported. Furthermore, a confirmation experiment of the optimal process was conducted. It was clear that HVOF sprayed WC-Co coating estimations are greatly improved through the Taguchi-Fuzzy logic operation, and these findings achieved the desired values in the modified properties.
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