| The demand for power cable products is increasing with the development of the industry.Power cables need to be peeled before power cables are used or pre-fabricated to form products.At present,the power cable cutting and peeling operation mainly adopts a manual method,and usually a handheld knife(ring cutter or wallpaper knife)is used to strip the power cable.On the one hand,the inner layer of the wire is easily damaged or the hand is easily scratched by a knife because the outer insulation of the power cable is thick and hard.The manual method has high labor intensity and low production efficiency,which is far from meeting the huge market demand.On the other hand,the manual and manual methods have large randomness,low product qualification rate,serious waste,and will cause huge economic losses because the raw materials are expensive.In addition,the quality of the cutting and peeling directly affects the quality of the product.Too poor cutting and peeling quality will lead to subsequent assembly and even product scrap.Therefore,computer numerical simulation of the mechanical characteristics of the cutting and peeling structure of power cables is required.,Cutting experiments and multi-objective optimization design.The specific research content of the full text is as follows:(1)The article is to improve production efficiency,reduce the labor intensity of workers,and improve the qualification rate of products.Power cable cutting theory and influencing factors are analyzed according to the expected design goals and technical indicators.The structural design of the power cable cutting and peeling structure is from conceptual design,functional analysis and detailed design.3D solid modeling was built using SolidWorks software,the various parts are assembled and the actual prototype is manufactured;(2)The purpose of this article is to achieve better cutting and peeling effects,reduce the roughness of the cut surface,and improve the dimensional accuracy and product qualification rate after cutting.Geometric model,material model and finite element model of the power cable cutting and peeling structure are constructed according to the actual data and structural design of the actual prototype.Joint simulation was performed using Pro/Engineer,ANSYS LS-DYNA and LS-Prepost to analyze the simulation results.First,two different cutting methods of cutting power cables and cutting power cables simultaneously by a cutter are simulated,and the validity of the simulation results is verified,from the dimensional accuracy after cutting,cutting energy consumption,cutting force,etc.The comparative analysis in terms of aspects provided a theoretical reference for the subsequent optimization and improvement of the power cable cutting and stripping structure.Next,the computer numerical simulation and analysis were performed on different cutting depths,different cutting speeds,and different materials,and the power lines were revealed.Some rules of cable cutting provide a theoretical reference for the subsequent improvement and optimization of power cable structures,and provide a research reference for the processing of high-density polyethylene,ABS plastic and other materials(especially the processing of difficult-to-cut materials);(3)The actual cutting effect of the power cable cutting and peeling structure is tested through the field cutting test.Different cutting depths,different cutting speeds,and different mounting positions are considered,test platform and measurement platform are built.The test results and simulation results are compared to verify the effectiveness of the finite element model;(4)The aim of the optimisation was to achieve better cutting results,reduce the unevenness of the cut surface,improve the dimensional accuracy after cutting,and improve the qualification rate of the product.Tool thickness,cutting edge angle,and tool material are used as design variables for multi-objective design.The experimental design was based on the Isight software,and a second-order response surface approximation model between input and output was constructed.The optimization problem was solved by the NSGA-II algorithm in order to obtain the optimal solution.The optimized results are compared with the initial results and experimental results. |