手持式自定位增材制造三維形貌檢測(cè)技術(shù)研究
[Abstract]:Adding material manufacturing technology is a kind of manufacturing technology which can realize forming by layer-by-layer accumulation. Because there are a lot of uncontrollable variables such as heat dissipation condition and heat accumulation, it is easy to deviate from the size of stack coating. Therefore, how to improve the precision of material-increasing manufacturing is one of the main research problems. In this paper, a three-dimensional scanning system with the characteristics of hand-held and self-positioning has been developed, and a closed-loop material increasing manufacturing system has been established to improve the forming accuracy of the products. Firstly, a three dimensional scanning experiment system of hand-held self-positioning is established. The internal and external parameters of the camera are calibrated by Zhang Zhengyou calibration method, and a method of automatically and efficiently calibrating the structural light plane equation is proposed. Using the binocular vision principle to calculate the 3D coordinates of the scalar points, the accuracy reaches 0.2mm. according to the structure-light triangulation method, the single-frame scanning image is restored, and the three-dimensional information of the points on the structural light of the scanned object is obtained. The precision is 0.1 mm. This paper optimizes the algorithm of extracting the center coordinate of circular frame, realizes the matching of the subscript point of the same frame left and right camera image coordinate system, and the stereo matching of the next frame image camera coordinate system. The data of different frame images are stitched up with the information of mark and fixed point to complete the data mosaic and obtain the whole point cloud. According to the above principle, the software with the function of on-line collecting and processing images and displaying and acquiring 3D point cloud is realized by using C language. The scanning accuracy is below 0.5mm and the scanning speed can reach 15 cm / min when the maximum distance between point clouds is 0.5mm. In view of the phenomenon that arc augmentation manufacturing is generally carried out on a flat plate, an algorithm for projecting the point cloud homogeneously on the plate is proposed, which effectively removes the repeated information and ensures that the effective information is not lost. It greatly reduces the number of point clouds and improves the efficiency of point cloud processing. Combining statistical filtering with point cloud, Gao Si filter and greedy projection triangulation algorithm based on Delaunay triangle, point cloud is processed and reconstructed into curved surface. C language is used to realize the above functions and OpenGL 3D display technology is used to realize the dynamic 3D display of the model in the MFC environment. The 3D model is saved into STL format, and the interface is provided for other 3D model processing software such as CAD,SolidWorks. Finally, an algorithm for extracting characteristic information of single layer multi-channel and multi-layer multi-channel stack is proposed. The 3D morphology of each layer was restored, and the feature information was extracted. According to the detected size information, the parameters and path of the next layer were improved, the closed-loop material increasing manufacturing system was established, and the forming quality of the product was improved.
【學(xué)位授予單位】:哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TG806
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 秦亞光;羅周全;汪偉;鄭開(kāi)歡;;采空區(qū)三維激光掃描點(diǎn)云數(shù)據(jù)處理技術(shù)[J];東北大學(xué)學(xué)報(bào)(自然科學(xué)版);2016年11期
2 王樹(shù)根;王歡;孫明偉;陳奇;靳衛(wèi)華;王博;;基于統(tǒng)計(jì)數(shù)據(jù)選取種子點(diǎn)的LiDAR點(diǎn)云迭代濾波算法[J];測(cè)繪與空間地理信息;2015年06期
3 杜華坤;馮德山;湯井田;;基于Delaunay三角形的非結(jié)構(gòu)化有限元GPR正演[J];中南大學(xué)學(xué)報(bào)(自然科學(xué)版);2015年04期
4 郭志飛;張虎;;增材制造技術(shù)的研究現(xiàn)狀及其發(fā)展趨勢(shì)[J];機(jī)床與液壓;2015年05期
5 劉智;;基于圓形標(biāo)定板特征點(diǎn)提取及排序的方法[J];數(shù)字技術(shù)與應(yīng)用;2014年08期
6 凌嘉瑋;何瑋;方城君;;三維檢測(cè)技術(shù)在大型發(fā)電機(jī)制造中的應(yīng)用[J];電機(jī)技術(shù);2013年03期
7 聶建輝;馬孜;胡英;;一種魯棒的圓形標(biāo)記點(diǎn)中心提取方法[J];應(yīng)用科學(xué)學(xué)報(bào);2013年01期
8 王大女;;三維掃描儀軟件的設(shè)計(jì)及實(shí)現(xiàn)[J];光學(xué)儀器;2008年02期
9 姜露露;彭健;;基于極線幾何約束的非標(biāo)定圖像的立體匹配[J];計(jì)算機(jī)應(yīng)用;2007年11期
10 羅大兵,高明,王培俊;逆向工程中數(shù)字化測(cè)量與點(diǎn)云數(shù)據(jù)處理[J];機(jī)械設(shè)計(jì)與制造;2005年09期
相關(guān)博士學(xué)位論文 前1條
1 聶建輝;自定位實(shí)物數(shù)字化技術(shù)研究[D];大連海事大學(xué);2012年
相關(guān)碩士學(xué)位論文 前3條
1 李偉;基于線結(jié)構(gòu)光的火車(chē)輪對(duì)外徑三維檢測(cè)技術(shù)研究[D];華中科技大學(xué);2007年
2 李?lèi)?ài)林;柔性臂三坐標(biāo)測(cè)量機(jī)原型的研究與開(kāi)發(fā)[D];浙江大學(xué);2006年
3 王曉華;基于雙目視覺(jué)的三維重建技術(shù)研究[D];山東科技大學(xué);2004年
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