本文選題：激光熔覆修復(fù) + 工藝規(guī)劃�。� 參考：《南京航空航天大學(xué)》2017年碩士論文

【摘要】：激光熔覆作為一項(xiàng)新型的綠色再制造技術(shù),以成形組織性能好、適用范圍廣、對(duì)環(huán)境污染小等優(yōu)點(diǎn)在金屬零件的修復(fù)中得到了廣泛的應(yīng)用。工藝規(guī)劃是實(shí)現(xiàn)激光熔覆修復(fù)自動(dòng)化的基礎(chǔ),合理的工藝規(guī)劃可以大大提高修復(fù)的質(zhì)量和效率。但目前激光熔覆修復(fù)缺乏完整的工藝規(guī)劃體系,修復(fù)中工藝參數(shù)設(shè)置缺乏理論依據(jù),使得修復(fù)質(zhì)量無(wú)法保證,修復(fù)自動(dòng)化難以實(shí)現(xiàn)。為了提高修復(fù)質(zhì)量與效率,實(shí)現(xiàn)激光熔覆修復(fù)自動(dòng)化,本文對(duì)激光熔覆修復(fù)的工藝規(guī)劃進(jìn)行了相關(guān)研究,主要內(nèi)容包括:(1)針對(duì)預(yù)處理后零件表面缺損特點(diǎn),提出了一種基于機(jī)器視覺(jué)的三維缺損特征提取方法。首先根據(jù)缺損區(qū)域二維圖像邊界與三維特征點(diǎn)坐標(biāo),對(duì)零件缺損底面的空間邊界進(jìn)行重構(gòu)和定位,再結(jié)合缺損表面信息,實(shí)現(xiàn)對(duì)零件三維缺損特征的提取。(2)根據(jù)零件缺損特征,對(duì)激光掃描路徑進(jìn)行規(guī)劃,分析了熔覆層形貌特征對(duì)熔覆成形的影響,建立了單道熔覆層特征參數(shù)決策模型,在此基礎(chǔ)上研究了激光熔覆修復(fù)的路徑規(guī)劃與運(yùn)動(dòng)實(shí)現(xiàn)問(wèn)題。(3)針對(duì)熔覆過(guò)程的復(fù)雜性,采用粒子群優(yōu)化(PSO)的反向傳播(BP)神經(jīng)網(wǎng)絡(luò)建立熔覆工藝參的預(yù)測(cè)模型,通過(guò)仿真測(cè)試和熔覆試驗(yàn)驗(yàn)證了所建預(yù)測(cè)模型的可靠性,實(shí)現(xiàn)了在樣本范圍內(nèi)對(duì)特定單道熔覆層特征的熔覆工藝參數(shù)決策。本文針對(duì)表面損傷零件的激光熔覆修復(fù),建立了一套修復(fù)工藝規(guī)劃體系,并圍繞著修復(fù)路徑規(guī)劃和熔覆工藝參數(shù)決策設(shè)計(jì)了多道激光熔覆試驗(yàn),驗(yàn)證了修復(fù)工藝規(guī)劃方法的合理性與可行性,表明所提方法可以有效的指導(dǎo)缺損零件的激光熔覆修復(fù)工作,為激光熔覆修復(fù)的自動(dòng)化實(shí)現(xiàn)提供了理論依據(jù)。
[Abstract]:Laser cladding, as a new green remanufacturing technology, has been widely used in the repair of metal parts because of its advantages of good forming structure and properties, wide application range and low environmental pollution. Process planning is the basis to realize the automation of laser cladding repair, and reasonable process planning can greatly improve the quality and efficiency of restoration. But at present, the laser cladding repair lacks a complete process planning system, and the process parameters set in the restoration are lack of theoretical basis, which makes the repair quality can not be guaranteed, and the repair automation is difficult to realize. In order to improve the quality and efficiency of laser cladding and realize the automation of laser cladding repair, the process planning of laser cladding repair is studied in this paper. The main contents include: 1) aiming at the characteristics of surface defect of pretreated parts. A 3D defect feature extraction method based on machine vision is proposed. Firstly, according to the coordinates of 2D image boundary and 3D feature point of the defect area, the space boundary of the bottom surface of the defect is reconstructed and located, and then the 3D defect feature of the part is extracted according to the defect feature by combining the defect surface information. The laser scanning path is planned, and the influence of the morphology of the cladding layer on the cladding forming is analyzed, and the decision model of the characteristic parameters of the cladding layer is established. Based on this, the path planning and motion realization of laser cladding repair is studied. Aiming at the complexity of cladding process, a predictive model of cladding process parameters is established by using PSO (Particle Swarm Optimization) and back Propagation (BPN) neural network. The reliability of the prediction model is verified by simulation test and cladding test, and the decision of cladding process parameters is realized in the sample range for the characteristics of a specific single cladding layer. In this paper, a repair process planning system is set up for repairing surface damage parts by laser cladding, and multi-channel laser cladding test is designed around repair path planning and cladding process parameters decision. The rationality and feasibility of the repair process planning method are verified. The results show that the proposed method can effectively guide the laser cladding repair of defective parts and provide a theoretical basis for the automatic realization of laser cladding repair.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TG665

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本文編號(hào)：2010208