Abstract
Since pipes used for water pipes are thin and difficult to fasten using welding or screws, they are fastened by a crimping joint method using a metal ring and a rubber ring. In the conventional crimping joint method, the metal ring and the rubber ring are arranged side by side. However, if water leaks from the rubber ring, there is a problem that the adjacent metal ring is rapidly corroded. In this study, to delay and minimize the corrosion of connected water pipes, we propose a spaced crimping joint method in which metal rings and rubber rings are separated at appropriate intervals. This not only improves the contact performance between the connected water pipes but also minimizes the load applied to the crimping jig during crimping to prevent damage to the jig. For this, finite element analyses were performed for the crimp tool and process analysis, and the design parameters were set as the curling length at the top of the joint, the distance between the metal rings and rubber rings, and the crimp jig radius. Through FEA of 100 cases, data to be trained in machine learning were acquired. After that, training data were trained on a machine learning model and compared with a regression model to verify the model’s performance. If the number of training data is small, the two methods are similar. However, the greater the number of training data, the higher the accuracy predicted by the machine learning model. Finally, the spaced crimping joint to which the derived optimal shape was applied was manufactured, and the maximum pressure and pressure distribution applied during compression were obtained using a pressure film. This is almost similar to the value obtained by finite element analysis under the same conditions, and through this, the validity of the approach proposed in this study was verified.
Highlights
Functions such as light-weighting and corrosion resistance are being strengthened, whereas construction convenience must be considered when connecting pipes such as water or gas pipes
Optimization was performed with an objective function that minimized the load, and the resulting equation is shown in Equation (4)
The mean based on the data ratio was 0.9739 and 0.9875 for the statistical regression and SVM, respectively, and the difference was 0.0136, indicating that the SVM was more suitable
Summary
Functions such as light-weighting and corrosion resistance are being strengthened, whereas construction convenience must be considered when connecting pipes such as water or gas pipes. If the maximum load value of 340.8 kN and a contact area of 154.54 cm derived through finite element analysis are substituted into Equation (2), the pressure obtained will be 22.05 MPa at 2.205 kN/cm2 This shows that the SR-joint can be molded within 30 MPa, which is the maximum hydraulic pressure applied during compression molding in the field. The optimum design constraint was a metal ring inclination of less than 10° to withstand vibration or deflection after molding, and the upper part of the SR-joint (the curling length part) and the lower part of the rubber ring must be in contact with the innpearrtpoipfet.heThruisbibsertoripnrgevmeunsttfboereiingncosnutabcsttawnictehs tfhloewininngerfproipme.tThhe ius pispteor ppraervteanfttefrorceoignnnseucbtisntagntchees SflRow-joiningt farnodmttohperuepvpenert pwaarttearfftleorwcoinngnefrcotimngththeeloSwR-ejoripnatratnodf ttoheprreuvbebnetrwriantge,r tflhoerwebinygcfaruosmintghecolorrwoseiropna.
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