濕性機械鏡面拋光機理及其應用技術(shù)的研究
本文關鍵詞:濕性機械鏡面拋光機理及其應用技術(shù)的研究 出處:《江蘇大學》2017年碩士論文 論文類型:學位論文
更多相關文章: 濕性機械拋光 材料去除率 正交實驗 生產(chǎn)效率
【摘要】:高、精、尖產(chǎn)品往往都裝配一些具有鏡面光潔度的零件,這些零件都需要采用各種拋光技術(shù)進行加工。拋光技術(shù)被越來越廣泛應用于各個行業(yè)中。工業(yè)中成熟的拋光技術(shù)普遍存在加工形式粗放、尺寸精度穩(wěn)定性不高、加工效率低、污染環(huán)境等不足,制約著工廠對拋光產(chǎn)品的大批量生產(chǎn)。開展高效、優(yōu)質(zhì)、環(huán)保的拋光技術(shù)具有重要的實用價值。本文通過理論分析與實驗論證方法對濕性機械拋光機理、拋光效率、拋光工藝參數(shù)優(yōu)化及其應用技術(shù)等關鍵問題進行了系統(tǒng)的研究。本研究的主要工作和成果為:(1)開展了濕性機械拋光機理的研究,結(jié)合經(jīng)典Preston方程,建立了拋光材料去除率理論模型。利用該理論模型針對拋光輪的幾何物理屬性(彈性模量、泊松比)、拋光工藝參數(shù)(拋光輪轉(zhuǎn)速、工件轉(zhuǎn)速與拋光法向壓力)與材料去除率進行了定量分析研究。研究工作為揭示拋光工藝參數(shù)對拋光效率的影響規(guī)律提供了理論依據(jù)。(2)針對拋光工藝參數(shù)(拋光輪轉(zhuǎn)速、工件轉(zhuǎn)速與拋光法向壓力)進行單因素試驗,對比分析了試驗結(jié)果與數(shù)值仿真,驗證了材料去除率理論模型的合理性,為優(yōu)化拋光工藝參數(shù)提供了理論依據(jù)。(3)針對粗拋光工藝與精拋光工藝分別進行正交實驗,選取材料去除深度H和表面粗糙度Ra作為實驗評價標準,拋光輪轉(zhuǎn)速、工件轉(zhuǎn)速、工件偏移速度、拋光法向壓力和拋光滴液間隔作為實驗主要影響因素。根據(jù)實驗結(jié)果得出影響程度排列和較優(yōu)工藝參數(shù)組合,為后續(xù)拋光生產(chǎn)加工提供實驗基礎。(4)根據(jù)拋光生產(chǎn)存在的產(chǎn)品質(zhì)量問題和生產(chǎn)效率低等問題進行了工藝優(yōu)化,提高了生產(chǎn)效率,保證了加工質(zhì)量。研究工作豐富了機械拋光理論,降低了制造企業(yè)的生產(chǎn)成本,提升市場競爭力。
[Abstract]:High, fine and sharp products are often equipped with parts with mirror finish. These parts need to be processed by various polishing techniques. Polishing technology is more and more widely used in various industries. The mature polishing technology in industry generally exists extensive processing form and the dimensional accuracy stability is not high. Low processing efficiency, environmental pollution and other deficiencies restrict the factory to produce polishing products in large quantities, and carry out high efficiency and high quality. Environmental protection polishing technology has important practical value. In this paper, the polishing mechanism and polishing efficiency of wettable machinery are studied by theoretical analysis and experimental demonstration. The key problems such as the optimization of polishing process parameters and their application techniques are systematically studied. The main work and results of this study are as follows: 1) the research on the polishing mechanism of wettable machinery has been carried out. Based on the classical Preston equation, a theoretical model of material removal rate is established, which is used to analyze the geometric and physical properties (elastic modulus, Poisson's ratio) of the polishing wheel. Polishing process parameters (rotation speed of polishing wheel). The quantitative analysis of workpiece rotation speed and polishing normal pressure) and material removal rate were carried out. The research provides a theoretical basis for revealing the influence of polishing process parameters on polishing efficiency. For polishing process parameters (polishing wheel speed). Single factor experiment was carried out on the rotating speed of workpiece and the normal pressure of polishing. The results of test and numerical simulation were compared to verify the rationality of the theoretical model of material removal rate. In order to optimize the polishing process parameters, a theoretical basis is provided. (3) orthogonal experiments are carried out for coarse polishing process and finishing polishing process, and the material removal depth H and surface roughness Ra are selected as the experimental evaluation criteria. Polishing wheel speed, workpiece speed, workpiece offset speed, polishing normal pressure and polishing droplet interval are the main factors affecting the experiment. According to the experimental results, the influence degree of the arrangement and the optimal combination of process parameters are obtained. To provide experimental basis for subsequent polishing production and processing. (4) according to the problems of product quality and low production efficiency in polishing production, the process optimization is carried out, and the production efficiency is improved. The research enriches the theory of mechanical polishing, reduces the production cost of manufacturing enterprises and promotes the market competitiveness.
【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】:TG580.692
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