本文選題：切削參數(shù)庫　切入點：民用大飛機　出處：《南京理工大學(xué)》2016年碩士論文

【摘要】：15-5PH不銹鋼具有卓越的力學(xué)性能和耐腐蝕性能,是民用大飛機(C919)及軍機承力結(jié)構(gòu)件的主要材料。然而該材料良好的機械性能也導(dǎo)致其加工過程中切削溫度高、銑削力大、加工硬化現(xiàn)象嚴(yán)重。同時,由于該材料主要依賴進(jìn)口,國外的技術(shù)封鎖導(dǎo)致可參考的有價值的內(nèi)容較少。為了改善加工質(zhì)量,提高加工效率,迫切需要開展具有自主知識產(chǎn)權(quán)的民用大飛機切削參數(shù)庫系統(tǒng)的構(gòu)建研究。本文面向民用大飛機參數(shù)庫系統(tǒng),針對系統(tǒng)設(shè)計、切削結(jié)果預(yù)測及切削參數(shù)優(yōu)化等關(guān)鍵問題,開展以下工作：首先,在切削參數(shù)庫系統(tǒng)需求分析的基礎(chǔ)上,提出了該切削參數(shù)庫系統(tǒng)的整體結(jié)構(gòu)設(shè)計,包括系統(tǒng)體系設(shè)計、系統(tǒng)流程設(shè)計和系統(tǒng)功能設(shè)計。最終完成民用大飛機切削參數(shù)庫系統(tǒng)總體框架的構(gòu)建。其次,通過正交實驗設(shè)計開展15-5PH不銹鋼基礎(chǔ)特征件切削加工實驗。分析了切削參數(shù)對深孔鉆削孔徑偏差、內(nèi)側(cè)圓角表面粗糙度和橫向銑削力及側(cè)壁表面粗糙度的影響規(guī)律,闡明了各切削參數(shù)對切削結(jié)果的影響程度,為切削參數(shù)庫系統(tǒng)的實現(xiàn)提供了基礎(chǔ)實驗數(shù)據(jù)。再次,基于切削實驗獲取的實驗結(jié)果,選擇合理的預(yù)測算法分別建立了深孔鉆削孔徑預(yù)測模型,內(nèi)側(cè)圓角精加工表面粗糙度和橫向銑削力預(yù)測模型以及側(cè)壁精加工表面粗糙度預(yù)測模型,并通過實驗驗證了模型的合理性和準(zhǔn)確性。為切削參數(shù)庫系統(tǒng)切削結(jié)果預(yù)測模塊提供了技術(shù)支持。最后,開展了三個基礎(chǔ)特征件的切削參數(shù)優(yōu)化。均以最大切削效率為目標(biāo)函數(shù),深孔鉆削以孔徑偏差為約束條件,內(nèi)側(cè)圓角精加工以表面粗糙度和橫向銑削力為約束條件,側(cè)壁精加工以表面粗糙度為約束條件,采用懲罰函數(shù)方法處理約束條件構(gòu)建切削參數(shù)優(yōu)化數(shù)學(xué)模型。并引入遺傳算法及粒子群算法對切削參數(shù)進(jìn)行優(yōu)化求解,通過實驗驗證了優(yōu)化方法的準(zhǔn)確性和合理性。為切削參數(shù)庫系統(tǒng)的核心功能——切削參數(shù)優(yōu)化提供了技術(shù)支撐。
[Abstract]:15-5PH stainless steel has excellent mechanical properties and corrosion resistance, and is the main material of civil aircraft C919) and military aircraft bearing structure. However, the good mechanical properties of this material also lead to high cutting temperature and high milling force. The phenomenon of work hardening is serious. At the same time, because the material is mainly dependent on imports, the foreign technology blockade results in less valuable contents to be referenced. In order to improve the quality and efficiency of processing, It is urgent to carry out the research on the construction of the civil aircraft cutting parameter database system with independent intellectual property rights. This paper aims at the key problems such as system design, cutting result prediction and cutting parameter optimization. The following works are carried out: firstly, based on the requirement analysis of the cutting parameter library system, the overall structure design of the cutting parameter library system is proposed, including the system architecture design. System flow design and system function design. Finally, the overall framework of civil aircraft cutting parameter library system is constructed. Secondly, The cutting experiments of 15-5PH stainless steel foundation feature parts were carried out by orthogonal experiment. The influence of cutting parameters on the hole diameter deviation, the surface roughness of the inner corner, the transverse milling force and the surface roughness of the side wall were analyzed. The degree of influence of cutting parameters on cutting results is expounded, which provides the basic experimental data for the realization of cutting parameter library system. Thirdly, based on the experimental results obtained from cutting experiments, The prediction model of deep hole drilling aperture, the prediction model of surface roughness and transverse milling force of inner corner finish machining and the prediction model of side wall finish machining surface roughness are established by selecting reasonable prediction algorithm. The rationality and accuracy of the model are verified by experiments, which provide technical support for cutting result prediction module of cutting parameter library system. Finally, The optimization of cutting parameters of the three basic features is carried out. The maximum cutting efficiency is taken as the objective function, the hole diameter deviation is taken as the constraint condition in deep hole drilling, and the surface roughness and transverse milling force are taken as the constraint conditions in the finish machining of the inner circular corner. In the side wall finishing, the surface roughness is taken as the constraint condition, and the penalty function method is used to deal with the constraint condition to construct the mathematical model of cutting parameter optimization, and the genetic algorithm and particle swarm optimization algorithm are introduced to optimize the cutting parameters. The accuracy and rationality of the optimization method are verified by experiments, which provide technical support for the optimization of cutting parameters, which is the core function of the cutting parameter library system.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：V261

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本文編號：1658151