Study On Material Deformation Mechanism In Cutting Area Of Wood-Plastic Composites

Wood-plastic composite(WPC),also known as "wood-plastic," is a composite material made by melting and mixing thermoplastic plastics such as polyethylene(PE)or polyvinyl chloride(PVC)with biomass fiber materials such as wood powder,rice husks,and straw.With its excellent physical and chemical properties,WPC is widely used in fields such as automobiles,construction,and gardening.However,the deformation of chips in the cutting area and the deformation of the workpiece surface and interior during WPC secondary processing seriously affect processing quality.Therefore,this article studies the deformation mechanism of WPC cutting area through WPC cutting experiments and model establishment.First,by cutting wood-plastic composite,dynamic cutting force,cutting temperature,high-speed camera shooting process and morphology of chips,surface roughness value and surface morphology map of processed workpieces scanned,and internal damage morphology map of processed workpieces scanned by environmental scanning electron microscope were collected.Then,the optimized RBF neural network by particle swarm algorithm is used for multi-objective optimization to obtain the best cutting parameters.Finally,the best cutting parameters obtained by multi-objective optimization are verified through experiments.The main conclusions are as follows:(1)In the cutting process of wood-plastic composite,a large front angle and a large cutting depth will produce unit chips,severe surface damage,and the worst processing quality,so it can be used for rough processing.A small front angle and a small cutting depth will produce multi-angle chips,slight surface damage,and medium processing quality,so it can be used for rough processing.A large front angle and a small cutting depth will produce strip chips,the smallest surface damage,and the best processing quality,so it can be used for finishing processing.(2)With the increase of wood powder content and cutting depth,the cutting force consumed in the WPC cutting area increases,the cutting temperature rises,and the surface quality deteriorates.By observing the surface quality of the processed workpiece through a 3D scanning profilometer,it is found that the number and size of surface pits increase.Through environmental scanning electron microscopy,it is observed that the internal damage is serious,and the fibers are torn in the pits.(3)With the increase of tool front angle,the cutting force consumed in the WPC cutting area decreases,the cutting temperature decreases,and the surface quality improves.By observing the surface quality of the processed workpiece through a 3D scanning profilometer,it is found that the number of surface pits and protrusions decreases.Through environmental scanning electron microscopy,it is observed that the internal damage is smaller,and the number of pits and protrusions is fewer.(4)Particle swarm algorithm is used to optimize the RBF neural network to optimize the processing parameters,and the optimal processing parameters are obtained.The processing quality of the optimal processing parameters is verified through experiments.The average accuracy is 96.47% by comparing the optimized data with the experimental data.This article systematically studies the deformation mechanism of the WPC cutting area,solves problems such as poor processing quality and low efficiency caused by deformation,and can effectively improve the processing quality and efficiency of WPC.This research provides some theoretical guidance for the cutting of WPC.