本文選題：螺旋銑孔　切入點：遺傳算法　出處：《湖南工業(yè)大學》2017年碩士論文　論文類型：學位論文

【摘要】：螺旋銑孔作為一種先進的制孔技術已被廣泛應用于航空航天、汽車制造、軌道交通等領域。螺旋銑孔過程中,刀具幾何參數(shù)、工件材料的切削性能及銑孔參數(shù)等對切削力、待加工孔表面質(zhì)量和切削穩(wěn)定性等會產(chǎn)生重大影響。本論文將重點探討螺旋銑孔動力學建模、孔群加工路徑優(yōu)化及單個孔切削參數(shù)優(yōu)化等問題,目的是為了實現(xiàn)高效、高質(zhì)量螺旋銑孔,主要研究內(nèi)容如下:首先,通過對螺旋銑孔切削機理研究發(fā)現(xiàn),螺旋銑孔中存在側(cè)刃周銑和底刃插銑兩種切削形式。在此基礎上,通過對螺旋切削刃離散化處理,實現(xiàn)了螺旋銑孔動態(tài)切削力預測。與此同時,通過采用數(shù)值方法計算平均方向力系數(shù),推導出了一種由軸向每齒進給量/切向每齒進給量、主軸轉(zhuǎn)速表示的新穩(wěn)定性葉瓣圖。切削力與顫振穩(wěn)定性驗證試驗結(jié)果顯示,本文所構(gòu)建的切削力及顫振穩(wěn)定性預測模型的正確性�；陂_發(fā)的仿真程序,系統(tǒng)地分析了螺旋銑孔切削參數(shù)對切削力和切削穩(wěn)定性的影響,得到了可用于指導實際工程應用的有益的結(jié)論。其次,通過研究發(fā)現(xiàn),螺旋銑孔優(yōu)化問題可分解為孔群路徑優(yōu)化與單孔切削參數(shù)優(yōu)化兩個子問題,而孔群加工路徑優(yōu)化本質(zhì)上就是一個典型的TSP問題。在深入分析現(xiàn)有求解TSP問題的諸多方法后,基于經(jīng)典的遺傳算法,本文提出了一種新的混合改進型遺傳算法,該算法通過采用具有變化懲罰項的適應度函數(shù),用來指導遺傳搜索,并從蟻群算法早期產(chǎn)生的螞蟻序列中選擇優(yōu)良個體組成初始解,構(gòu)建質(zhì)量更高、多樣性更好的初始種群,提高了算法的效率和精度。通過對比三種算法的優(yōu)化仿真結(jié)果及進行相關實驗,證實了該算法的正確性與高效性。最后,針對單孔切削參數(shù)優(yōu)化問題,建立了以加工效率為目標函數(shù)、以切削參數(shù)為設計變量,綜合考慮切削力、切削功率、表面形貌及切削穩(wěn)定性等為約束條件的非線性優(yōu)化模型,提出了一種變搜索域的優(yōu)化求解算法,該算法可以通過改變求解過程中搜索域的范圍,快速得到符合要求的切削參數(shù)。優(yōu)化試驗結(jié)果證實了該優(yōu)化模型及其求解算法的正確性和有效性,可為高效螺旋銑孔提供一種可行的技術解決方案。
[Abstract]:Helical milling is an advanced drilling technology has been widely used in aerospace, automobile manufacturing, rail transportation and other fields. The helical milling process, tool geometry, workpiece materials, cutting performance and milling parameters on cutting force, the hole to be machined surface quality and cutting stability will produce significant effect. This paper focuses on Dynamic Modeling of helical milling, holes machining path optimization and single hole cutting parameter optimization problem, the purpose is to realize high efficiency, high quality of helical milling, the main research contents are as follows: firstly, based on the helical milling cutting mechanism research, the side edge and the bottom edge milling insert two kinds of cutting milling form helical milling. On this basis, through the spiral cutting edge discretization, the cutting force of the helical milling dynamic prediction. At the same time, calculate the average direction of force by using numerical method The coefficient, and derives a by axial feed per tooth / tangential feed per tooth, said the new spindle speed stability lobes. The test results of the cutting force and the flutter stability shows that the correctness of the model to predict the cutting force and the flutter stability of the simulation program. Based on the development of the parameters of helical milling cutting on cutting force and stability of the system analysis, the conclusions can be used to guide the practical engineering application. Secondly, through the study found that the helical milling optimization problem can be decomposed into two sub problems: Kong Qun path optimization and optimization of cutting parameters of single hole, and the holes machining path optimization essence is a typical TSP problem. In many ways the in-depth analysis of the existing TSP problems, based on the classical genetic algorithm, this paper proposes a new improved hybrid genetic algorithm, the algorithm. The fitness function with the change of the penalty term, used to guide the genetic search, and select excellent individuals from the initial solution sequence of ant ant colony algorithm produced in the early stage, the construction quality is higher, the initial population diversity better, improve the efficiency and precision of the algorithm. Through the simulation optimization and comparison of three algorithms the related experiments confirmed the correctness and effectiveness of this algorithm. Finally, to solve the optimization problem of single hole cutting parameters is established based on the machining efficiency as the objective function, the cutting parameters as design variables, considering cutting force, cutting power, nonlinear optimization model of surface morphology and cutting stability as constraint conditions, put forward a variable domain search optimization algorithm, the algorithm can change the search range in the solving process, can meet the requirements of fast cutting parameters. The optimization results confirmed The correctness and effectiveness of the optimization model and its solution algorithm can provide a feasible technical solution for high efficiency spiral milling holes.

【學位授予單位】：湖南工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TG54

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本文編號：1638940