Development Of Intelligent Grinding System Of Indexable Insert And Experimental Study For Improvement Of Cutting Environment

Over the years,foreign manufacturers have long mastered the pricing power of advanced cutting tool on China market owe to their advantages in technology and services.This situation greatly limits the development of China manufacturing industry.In particular,the development of China's aerospace manufacturing is very dependent on the import of foreign advanced cutting tool,which is extremely unbeneficial for national defense security.To improve the precision and efficient machining level of China's aerospace manufacturing and China's manufacturing capacity of advanced cutting tool,it is of great significance to address the key technology in precision grinding of hard/superhard cutting tool,master the core technology for numerical control multi-axis combined grinding of indexable tool,develop the intelligent grinding softwares of indexable tool,and research the intelligent manufacturing equipment of indexable tool.Moreover,the research of these key technologies is also an approach to realize the industrialization and informatization integration and promote the digital and intelligent development of China manufacturing industry.On the basis of previous research results and intelligent manufacturing techniques,this paper presents further research from following aspects:1.Based on multi-axis combined grinding process of indexable insert,online grinding technology of indexable insert under intelligent detection condition was proposed,online measurement mathematical models and eccentric grinding mathematical models of indexable insert were established.On this basis,the intelligent grinding system of indexable insert was developed,the intelligent CNC grinding machine of indexable insert was developed,and relevant digital and intelligent production was realized.2.Through finite element analysis of thermal-mechanical coupled process of indexable insert grinding,we could obtain the distribution of thermal-mechanical coupled temperature field of rear surface of indexable insert and the maximum temperature of rear face under different grinding conditions.The predictive model of thermal-mechanical coupled temperature field of grinding process was established by BP-PSO neural network,which provided referential parameters for field grinding machining of indexable insert.3.This study analyzed the problems occurred during CBN superhard insert grinding,such as bad connection and poor uniformity of grinding size,and solves them through optimizing the rigidity of peripheral grinding machine of indexable insert,grinding process and dynamic performance of CNC system.4.Graphene colloidal suspensions was proposed to reduce the friction coefficient of "YG8 carbide-45 steel",decrease the cutting force and improve workpiece surface roughness.Results showed that graphene colloidal suspensions had significant effect in improving the lubricating condition of "YG8 carbide 45 steel" cutting;the mean friction coefficient was reduced by 12.9%?57.3%,and wear rate was reduced by 33.82%compared with that using semi-synthetic cutting fluid.Moreover,the cutting force was decreased by 18.58%and the workpiece surface roughness was decreased by 7.5%compared with the situation with semi-synthetic cutting fluid.5.A novel independent internal cooling system was developed to increase the thermal diffusivity of toolholder and tool and reduce cutting temperature.Through numerical analysis of thermal characteristics,the temperature field distributions of rake and rear face during cutting process could be obtained.According to the results of cutting experiment analysis,it can be known that the maximum temperature at measuring site after adopting internal cooling system was reduced by nearly 30%compared with conventional dry cutting method,indicating that the internal cooling system can effectively improve cutting environment.