Milling Amount Optimization Of High Silicon Aluminum Alloy Using For Electronic Packaging Material And Development Of Software System

High silicon aluminum alloy is a kind of new alloy material with high strength,low density,good thermal conductivity,corrosion resistance,wear resistance,recyclable,etc.It is widely used in aircraft,automobile,engine manufacturing and other fields.At the same time,high silicon aluminum alloy thermal expansion system is low,good electroplating performance,easy to weld and precision machining and other advantages.It is suitable for most microelectronic devices and substrates.However,this material has problems such as unstable machining state and poor cutting performance,which greatly affects the popularization and use of this material.Through enterprise research,it is found that the cutting amount of high-silicon aluminum alloys in production and processing is mainly determined by trial cutting methods or empirical judgments.The lack of corresponding theoretical guidance makes it difficult to improve production efficiency and product quality.And so far,no research and development work on the optimization system of the cutting amount of this material has been found in the public literature.Therefore,the research work in this paper has general social benefits,and the research results can provide theoretical and data support for the manufacturing of the above-mentioned various industrial products.In the past three years,the research group has done a lot of research work on the cutting performance of high-silicon aluminum alloys,and accumulated a lot of data.Firstly,the further analysis on the research data done by the previous research group was carried out in this paper,which laid a theoretical data foundation for the subsequent milling dosage optimization and the development of the optimization system.Secondly,based on the previous research results and the virtual simulation experiment method,the orthogonal test method was used to construct the cutting experimental group.AdvantEdge FEM software was used to simulate the milling of high silicon alloy CE11,and the changing law of cutting force and milling temperature relative to milling amount was analyzed to improve and expand the data.Thirdly,based on the above work,BP neural network-genetic algorithm was used to optimize the milling amount.That is,the genetic algorithm was used to optimize the weight threshold of the neural network,and then the optimized BP neural network was used to set up cutting force and cutting temperature prediction models,with cutting amount(rotation speed,feed amount,milling width,back-feeding amount)as independent variables,cutting force and cutting temperature as dependent variables.Finally,using the established BP-GA prediction model,the genetic algorithm was used to optimize the milling amount with the minimum cutting force and cutting temperature as the goal.Fourth,research and development of high si-al alloy milling amount optimization system was finished.The conceptual design,logical design and functional module design of the system software were carried out,and a specialknowledge base system of High silicon aluminium alloy was developed with the function modules of data management,data query,user management and milling amount optimization.This system can provide data support for optimizing milling amount in subsequent milling.