Research On Intelligent Prediction And Improvement Of Assembly Quality Of Key Components Of High-speed Warp Knitting Machine

High speed warp knitting machine is a high-end manufacturing equipment in the warp knitting textile industry.At present,there are many problems in domestic high-speed warp knitting machine,such as defective fabrics,unstable machine movement,high assembly cost and so on.These problems are closely related to the assembly quality of its main components,loop forming parts and connecting rod frame parts.First of all,according to the actual assembly process of high-speed warp knitting machine,the fishbone diagram which affects the assembly quality is constructed,from which influencing factors related to the link frame components are extracted and their independence is verified.Then,different artificial intelligence synthesis algorithms are used to predict the needle length of the needle bed according to the influencing factors of the connecting rod parts,and the artificial intelligence algorithm with high prediction accuracy is selected to build the assembly quality prediction model of the connecting rod parts,and the prediction accuracy reaches more than 90%.Then,the orthogonal experiment is designed to determine the optimal assembly parameters of the connecting rod frame parts under the existing working conditions through the rigid flexible coupling simulation,so that the fluctuation of assembly position is reduced by 41.98%.After that,the objective optimization function including the quality loss cost function and the tolerance sensitivity function is constructed,and the key tolerance of the looping parts is optimized by genetic algorithm,and the assembly tolerance of the looped parts is analyzed.With the improvement,the quality loss cost is reduced by 29.38%,and the tolerance sensitivity is reduced by 49.94%.In addition,the disassembly tooling of the looping parts is designed to remove the faulty needle core card at a fixed point without dismantling the whole needle bed,which shortens the debugging cycle of the looping parts and reduces the assembly cost;the detection tooling of the connecting rod frame parts is designed,it can adapt to different bench benchmarks and measure the transverse and longitudinal trajectory errors of the compact assembly,which add new factors affecting the assembly quality.Through the intelligent prediction and improvement of the assembly quality of key components,the corresponding prediction model is established and the assembly quality including the stability of assembly position and assembly cost is improved,which lays the foundation for the future development of high-speed warp knitting machine.