本文選題：馬氏體不銹鋼 + 銑削力　； 參考：《江蘇大學》2017年碩士論文

【摘要】：馬氏體不銹鋼由于具有較好的耐磨性,耐腐蝕性及較高的硬度和強度而廣泛應用于水利、汽車、醫(yī)療器械等領域。然而,該材料在切削加工中存在切削力大、加工硬化嚴重、易粘結等特點,所以成為了一種典型的難加工材料。因此,研究馬氏體不銹鋼的切削特性,合理的優(yōu)化切削參數(shù),對提升馬氏體不銹鋼的加工效率,減少加工成本有著十分重要的意義。本文以難加工材料馬氏體不銹鋼為研究對象,運用了實驗和仿真的方法,研究了銑削過程中各切削用量對銑削力、表面粗糙度、溫度、刀具壽命的影響規(guī)律,并對切削參數(shù)進行了優(yōu)化。研究的主要內容及創(chuàng)新工作如下:(1)采用多因素多水平正交實驗對銑削力進行了研究,運用極差和方差的方法分析了各切削用量對三個方向銑削力的影響規(guī)律及顯著性。得到各切削用量對銑削力總體影響的主次關系。利用響應曲面法對銑削馬氏體不銹鋼材的表面粗糙度進行了研究,分析了單因素及多因素交互作用下各切削用量對表面粗糙度的影響規(guī)律及顯著性。建立了關于表面粗糙度的數(shù)學預測模型,并以該模型為約束條件,加工最高效為優(yōu)化目標,利用MATLAB軟件對切削參數(shù)進行了優(yōu)化,選取了一組最優(yōu)的切削參數(shù),為合理的選用切削參數(shù)提供了參考依據(jù)。(2)使用DEFORM-3D有限元仿真軟件研究了銑削過程中工件及刀具的溫度分布情況,分析了刀具切入切出時的溫度變化規(guī)律以及各切削用量對銑削溫度的影響規(guī)律。(3)采用全因素設計方法測得了不同切削用量下的刀具壽命數(shù)據(jù),得到了不同切削速度下的刀具磨損規(guī)律,并比較了不同速度下進給量、切削深度對刀具磨損的影響程度大小關系。以利潤最大化為優(yōu)化目標,提出了一種新的切削參數(shù)優(yōu)化指標,并通過實驗和實際生產(chǎn)驗證了該指標能夠達到利潤最大化的目的。
[Abstract]:Martensitic stainless steel is widely used in water conservancy, automobile, medical equipment and so on because of its good wear resistance, corrosion resistance and high hardness and strength. However, the material has the characteristics of large cutting force, serious hardening and easy bonding, so it has become a typical difficult material. Therefore, it is very important to study the cutting characteristics of martensitic stainless steel and optimize the cutting parameters reasonably to improve the processing efficiency and reduce the processing cost of martensitic stainless steel. In this paper, the effect of cutting parameters on milling force, surface roughness, temperature and tool life of martensitic stainless steel, which is difficult to be machined, is studied by means of experiment and simulation. The cutting parameters are optimized. The main contents and innovations are as follows: (1) the milling force is studied by multi-factor and multi-level orthogonal experiment, and the influence of cutting parameters on the milling force in three directions is analyzed by using the method of range and variance. The primary and secondary relationship of the total effect of cutting parameters on milling force is obtained. The surface roughness of milling martensitic stainless steel was studied by means of response surface method. The influence of cutting parameters on surface roughness was analyzed under the interaction of single factor and multiple factors. The mathematical prediction model of surface roughness is established. With this model as the constraint condition and the most efficient machining as the optimization target, the cutting parameters are optimized by MATLAB software, and a group of optimal cutting parameters are selected. It provides a reference for the reasonable selection of cutting parameters. (2) the temperature distribution of workpiece and cutter during milling is studied by using DEFORM-3D finite element simulation software. The variation law of cutting temperature and the influence of cutting parameters on milling temperature are analyzed. (3) the tool life data under different cutting parameters are measured by all-factor design method. The law of tool wear at different cutting speeds is obtained, and the influence of feed rate and cutting depth on tool wear is compared. Taking profit maximization as the optimization objective, a new cutting parameter optimization index is proposed, and it is proved by experiments and practical production that this index can achieve the goal of profit maximization.
【學位授予單位】：江蘇大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TG506.71

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本文編號：2074746