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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95883
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor陳亮嘉zh_TW
dc.contributor.advisorLiang-Chia Chenen
dc.contributor.author洪瑞澤zh_TW
dc.contributor.authorJui-Tse Hungen
dc.date.accessioned2024-09-19T16:11:22Z-
dc.date.available2024-09-20-
dc.date.copyright2024-09-19-
dc.date.issued2024-
dc.date.submitted2024-08-08-
dc.identifier.citation[1]E. Oztemel and S. Gursev, "Literature review of Industry 4.0 and related technologies," Journal of Intelligent Manufacturing, vol. 31, no. 1, pp. 127-182,2020, doi: 10.1007/s10845-018-1433-8.
[2]A. M. R. G. o. L. University. "About Additive Manufacturing." https://www.lboro.ac.uk/research/amrg/about/the7categoriesofadditivemanufacturing/.
[3]R. Singh et al., "Powder bed fusion process in additive manufacturing: An overview," Materials Today: Proceedings, vol. 26, pp. 3058-3070,2020, doi: https://doi.org/10.1016/j.matpr.2020.02.635.
[4]D.-G. Ahn, "Directed Energy Deposition (DED) Process: State of the Art," International Journal of Precision Engineering and Manufacturing-Green Technology, vol. 8, no. 2, pp. 703-742,2021, doi: 10.1007/s40684-020-00302-7.
[5]"What is Directed Energy Deposition (DED)?" TWI Ltd. https://www.twi-global.com/technical-knowledge/faqs/directed-energy-deposition.
[6]A. Saboori, A. Aversa, G. Marchese, S. Biamino, M. Lombardi, and P. Fino, "Application of Directed Energy Deposition-Based Additive Manufacturing in Repair," Applied Sciences, vol. 9, no. 16, 2019, doi: 10.3390/app9163316.
[7]X. Zhang, T. Pan, Y. Chen, L. Li, Y. Zhang, and F. Liou, "Additive manufacturing of copper-stainless steel hybrid components using laser-aided directed energy deposition," Journal of Materials Science & Technology, vol. 80, pp. 100-116,2021, doi: https://doi.org/10.1016/j.jmst.2020.11.048.
[8]Y.-H. Chueh, X. Zhang, J. C.-R. Ke, Q. Li, C. Wei, and L. Li, "Additive manufacturing of hybrid metal/polymer objects via multiple-material laser powder bed fusion," Additive Manufacturing, vol. 36, p. 101465,2020, doi: https://doi.org/10.1016/j.addma.2020.101465.
[9]P.-Y. Lin, F.-C. Shen, K.-T. Wu, S.-J. Hwang, and H.-H. Lee, "Process optimization for directed energy deposition of SS316L components," The International Journal of Advanced Manufacturing Technology, vol. 111, no. 5, pp. 1387-1400,2020, doi: 10.1007/s00170-020-06113-z.
[10]H. Jabeen. "What is AOI (Automated Optical Inspection): A Comprehensive Guide." https://www.wevolver.com/article/automated-optical-inspection.
[11]K. S. B. Ribeiro, F. E. Mariani, and R. T. Coelho, "A Study of Different Deposition Strategies in Direct Energy Deposition (DED) Processes," Procedia Manufacturing, vol. 48, pp. 663-670,2020, doi: https://doi.org/10.1016/j.promfg.2020.05.158.
[12]P. Ramiro, M. Ortiz, A. Alberdi, and A. Lamikiz, "Geometrical model and strategy in single and multilayer structures deposited by powder-fed Directed Energy Deposition," Procedia CIRP, vol. 94, pp. 352-356,2020, doi: https://doi.org/10.1016/j.procir.2020.09.144.
[13]J. P. Boilot, P. Gelo, and G. Begin, "Adaptive welding by fiber optic thermographic sensing--an analysis of thermal and instrumental considerations," Welding Journal(Miami), vol. 64, no. 7, pp. 209-17,1985.
[14]D. D. Voelkel and J. Mazumder, "Visualization of a laser melt pool," Applied Optics, vol. 29, no. 12, pp. 1718-1720,1990.
[15]Y. Su, Z. Wang, X. Xu, K. Luo, and J. Lu, "Effect of closed-loop controlled melt pool width on microstructure and tensile property for Fe-Ni-Cr alloy in directed energy deposition," Journal of Manufacturing Processes, vol. 82, pp. 708-721,2022.
[16]S. Baraldo, A. Vandone, A. Valente, and E. Carpanzano, "Vision-based control for track geometry optimization of complex AM motion profiles by on-line laser power modulation," Procedia CIRP, vol. 95, pp. 78-82,2020.
[17]P. Xu et al., "In-process adaptive dimension correction strategy for laser aided additive manufacturing using laser line scanning," Journal of Materials Processing Technology, vol. 303, p. 117544,2022, doi: https://doi.org/10.1016/j.jmatprotec.2022.117544.
[18]L. Tang and R. G. Landers, "Melt Pool Temperature Control for Laser Metal Deposition Processes—Part II: Layer-to-Layer Temperature Control," Journal of Manufacturing Science and Engineering, vol. 132, no. 1, 2010, doi: 10.1115/1.4000883.
[19]S. Liao, S. Webster, D. Huang, R. Council, K. Ehmann, and J. Cao, "Simulation-guided variable laser power design for melt pool depth control in directed energy deposition," Additive Manufacturing, vol. 56, p. 102912,2022, doi: https://doi.org/10.1016/j.addma.2022.102912.
[20]Y. Ding, J. Warton, and R. Kovacevic, "Development of sensing and control system for robotized laser-based direct metal addition system," Additive Manufacturing, vol. 10, pp. 24-35,2016, doi: https://doi.org/10.1016/j.addma.2016.01.002.
[21]T. Shi, B. Lu, T. Shen, R. Zhang, S. Shi, and G. Fu, "Closed-loop control of variable width deposition in laser metal deposition," The International Journal of Advanced Manufacturing Technology, vol. 97, no. 9, pp. 4167-4178,2018, doi: 10.1007/s00170-018-1895-z.
[22]L. Peng, J. Shengqin, Z. Xiaoyan, H. Qianwu, and X. Weihao, "Direct laser fabrication of thin-walled metal parts under open-loop control," International Journal of Machine Tools and Manufacture, vol. 47, no. 6, pp. 996-1002,2007, doi: https://doi.org/10.1016/j.ijmachtools.2006.06.017.
[23]J. T. Hofman, B. Pathiraj, J. van Dijk, D. F. de Lange, and J. Meijer, "A camera based feedback control strategy for the laser cladding process," Journal of Materials Processing Technology, vol. 212, no. 11, pp. 2455-2462,2012, doi: https://doi.org/10.1016/j.jmatprotec.2012.06.027.
[24]M. Zeinali and A. Khajepour, "Height Control in Laser Cladding Using Adaptive Sliding Mode Technique: Theory and Experiment," Journal of Manufacturing Science and Engineering, vol. 132, no. 4, 2010, doi: 10.1115/1.4002023.
[25]M. Akbari and R. Kovacevic, "Closed loop control of melt pool width in robotized laser powder–directed energy deposition process," The International Journal of Advanced Manufacturing Technology, vol. 104, no. 5, pp. 2887-2898,2019, doi: 10.1007/s00170-019-04195-y.
[26]M. H. Farshidianfar, A. Khajepour, M. Zeinali, and A. Gelrich, "System identification and height control of laser cladding using adaptive neuro-fuzzy inference systems," in ICALEO 2013: 32nd International Congress on Laser Materials Processing, Laser Microprocessing and Nanomanufacturing, 2013, vol. ICALEO 2013: 32nd International Congress on Laser Materials Processing, Laser Microprocessing and Nanomanufacturing, pp. 615-623, doi: 10.2351/1.5062940. [Online]. Available: https://doi.org/10.2351/1.5062940
[27]M. Miyagi, T. Tsukamoto, and H. Kawanaka, "Adaptive shape control of laser-deposited metal structures by adjusting weld pool size," Journal of Laser Applications, vol. 26, no. 3, 2014, doi: 10.2351/1.4869499.
[28]M. H. Farshidianfar, A. Khajepour, and A. Gerlich, "Real-time control of microstructure in laser additive manufacturing," The International Journal of Advanced Manufacturing Technology, vol. 82, no. 5, pp. 1173-1186,2016, doi: 10.1007/s00170-015-7423-5.
[29]M. H. Farshidianfar, F. Khodabakhshi, A. Khajepour, and A. P. Gerlich, "Closed-loop deposition of martensitic stainless steel during laser additive manufacturing to control microstructure and mechanical properties," Optics and Lasers in Engineering, vol. 145, p. 106680,2021, doi: https://doi.org/10.1016/j.optlaseng.2021.106680.
[30]M. H. Farshidianfar, F. Khodabakhshi, A. Khajepour, and A. P. Gerlich, "Closed-loop control of microstructure and mechanical properties in additive manufacturing by directed energy deposition," Materials Science and Engineering: A, vol. 803, p. 140483,2021, doi: https://doi.org/10.1016/j.msea.2020.140483.
[31]Y. Su, C. Wang, X. Xu, K. Luo, and J. Lu, "Pore defects and corrosion behavior of AISI 316L stainless steel fabricated by laser directed energy deposition under closed-loop control," Surface and Coatings Technology, vol. 463, p. 129527,2023, doi: https://doi.org/10.1016/j.surfcoat.2023.129527.
[32]D. Tyralla, H. Köhler, T. Seefeld, C. Thomy, and R. Narita, "A multi-parameter control of track geometry and melt pool size for laser metal deposition," Procedia CIRP, vol. 94, pp. 430-435,2020, doi: https://doi.org/10.1016/j.procir.2020.09.159.
[33]G. Zhao-Qin, G. Bi, and W. Jun, "Design of a novel control strategy for laser-aided additive manufacturing processes," in IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 23-26 Oct. 2016 2016, pp. 6091-6096, doi: 10.1109/IECON.2016.7793430.
[34]"Mitutoyo STRATO-Apex CMM." https://www.mitutoyo.com.tw/uploads/product/tw/STRATO.png.
[35]L. L. C. Michigan Metrology. "When is “non-contact measurement” important?" https://michmet.com/when-is-non-contact-measurement-important/.
[36]M. Hansard, S. Lee, O. Choi, and R. Horaud, Time-of-Flight Cameras: Principles, Methods and Applications (SpringerBriefs in Computer Science). 2012.
[37]L. Li, "Time-of-Flight Camera - An Introduction," 2014.
[38]N. Lazaros, G. C. Sirakoulis, and A. Gasteratos, "Review of Stereo Vision Algorithms: From Software to Hardware," International Journal of Optomechatronics, vol. 2, no. 4, pp. 435-462,2008, doi: 10.1080/15599610802438680.
[39]B. Tippetts, D. J. Lee, K. Lillywhite, and J. Archibald, "Review of stereo vision algorithms and their suitability for resource-limited systems," Journal of Real-Time Image Processing, vol. 11, no. 1, pp. 5-25,2016, doi: 10.1007/s11554-012-0313-2.
[40]Y. Zhang et al., "Improved separated-parameter calibration method for binocular vision measurements with a large field of view," Opt. Express, vol. 28, no. 3, pp. 2956-2974,2020, doi: 10.1364/OE.379099.
[41]Z. Wang, R. Liu, T. Sparks, H. Liu, and F. Liou, "Stereo vision based hybrid manufacturing process for precision metal parts," Precision Engineering, vol. 42, pp. 1-5,2015, doi: https://doi.org/10.1016/j.precisioneng.2014.11.012.
[42]Z. Ye, C. Liu, and C. Kan, "Stereo vision enabled flexible in-situ process authentication of additive manufacturing," Manufacturing Letters, vol. 35, pp. 1155-1162,2023, doi: https://doi.org/10.1016/j.mfglet.2023.08.117.
[43]J. Geng, "Structured-light 3D surface imaging: a tutorial," Advances in Optics and Photonics, vol. 3, no. 2, pp. 128-160,2011, doi: 10.1364/AOP.3.000128.
[44]R. J. Valkenburg and A. M. McIvor, "Accurate 3D measurement using a structured light system," Image and Vision Computing, vol. 16, no. 2, pp. 99-110,1998, doi: https://doi.org/10.1016/S0262-8856(97)00053-X.
[45]D. Scharstein and R. Szeliski, "High-accuracy stereo depth maps using structured light," in 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 18-20 June 2003 2003, vol. 1, pp. I-I, doi: 10.1109/CVPR.2003.1211354.
[46]X. Su and W. Chen, "Fourier transform profilometry:: a review," Optics and lasers in Engineering, vol. 35, no. 5, pp. 263-284,2001.
[47]M. Takeda and K. Mutoh, "Fourier transform profilometry for the automatic measurement of 3-D object shapes," Applied optics, vol. 22, no. 24, pp. 3977-3982,1983.
[48]R. Wang, A. C. Law, D. Garcia, S. Yang, and Z. Kong, "Development of structured light 3D-scanner with high spatial resolution and its applications for additive manufacturing quality assurance," The International Journal of Advanced Manufacturing Technology, vol. 117, no. 3, pp. 845-862,2021, doi: 10.1007/s00170-021-07780-2.
[49]I. Garmendia, J. Pujana, A. Lamikiz, M. Madarieta, and J. Leunda, "Structured light-based height control for laser metal deposition," Journal of Manufacturing Processes, vol. 42, pp. 20-27,2019, doi: https://doi.org/10.1016/j.jmapro.2019.04.018.
[50]C. Zuo, S. Feng, L. Huang, T. Tao, W. Yin, and Q. Chen, "Phase shifting algorithms for fringe projection profilometry: A review," Optics and Lasers in Engineering, vol. 109, pp. 23-59,2018, doi: https://doi.org/10.1016/j.optlaseng.2018.04.019.
[51]陳亮嘉, 范光照, 邱奕契, and 陳金聖, 自動化光學檢測. 2015.
[52]M. Zhao, L. Huang, Q. Zhang, X. Su, A. Asundi, and Q. Kemao, "Quality-guided phase unwrapping technique: comparison of quality maps and guiding strategies," Applied Optics, vol. 50, no. 33, pp. 6214-6224,2011, doi: 10.1364/AO.50.006214.
[53]R. M. Goldstein, H. A. Zebker, and C. L. Werner, "Satellite radar interferometry: Two-dimensional phase unwrapping," Radio Science, vol. 23, no. 4, pp. 713-720,1988, doi: 10.1029/RS023i004p00713.
[54]D. C. Ghiglia and L. A. Romero, "Minimum Lp-norm two-dimensional phase unwrapping," J. Opt. Soc. Am. A, vol. 13, no. 10, pp. 1999-2013,1996, doi: 10.1364/JOSAA.13.001999.
[55]G. Sansoni, M. Carocci, and R. Rodella, "Three-dimensional vision based on a combination of gray-code and phase-shift light projection: analysis and compensation of the systematic errors," Applied Optics, vol. 38, no. 31, pp. 6565-6573,1999, doi: 10.1364/AO.38.006565.
[56]C. Zuo, L. Huang, M. Zhang, Q. Chen, and A. Asundi, "Temporal phase unwrapping algorithms for fringe projection profilometry: A comparative review," Optics and Lasers in Engineering, vol. 85, pp. 84-103,2016, doi: https://doi.org/10.1016/j.optlaseng.2016.04.022.
[57]"Orthogonal Arrays (Taguchi Designs)." https://www.york.ac.uk/depts/maths/tables/orthogonal.htm.
[58]Y.-Y. Chang, J.-R. Qiu, and S.-J. Hwang, "Multi-objective optimization of directed energy deposition process by using Taguchi-Grey relational analysis," The International Journal of Advanced Manufacturing Technology, vol. 120, no. 11, pp. 7547-7563,2022, doi: 10.1007/s00170-022-09210-3.
[59]"NX CAD/CAM." https://plm.sw.siemens.com/en-US/nx/.
[60]"Robotmaster." https://www.robotmaster.com/zh.
[61]"What Is Camera Calibration?" https://www.mathworks.com/help/vision/ug/camera-calibration.html.
[62]Z. Zhang, "A flexible new technique for camera calibration," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, no. 11, pp. 1330-1334,2000, doi: 10.1109/34.888718.
[63]J. J. Moré, "The Levenberg-Marquardt algorithm: Implementation and theory," in Numerical Analysis, Berlin, Heidelberg, G. A. Watson, Ed., 1978// 1978: Springer Berlin Heidelberg, pp. 105-116.
[64]"Statistical outlier removal." https://www.programmersought.com/article/74566814125/.
[65]F. Cazals and J. Giesen, "Delaunay Triangulation Based Surface Reconstruction," in Effective Computational Geometry for Curves and Surfaces, J.-D. Boissonnat and M. Teillaud Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006, pp. 231-276.
[66]S. Dinas and J. M. Banon, "A review on Delaunay triangulation with application on computer vision," Int. J. Comput. Sci. Eng, vol. 3, pp. 9-18,2014.
[67]R. Mencl and H. Müller, Interpolation and Approximation of Surfaces from Three-Dimensional Scattered Data Points. 1997, pp. 223-223.
[68]"Random sample consensus." https://en.wikipedia.org/wiki/Random_sample_consensus.
[69]"IPG FLW-D30." https://www.ipgphotonics.com/products/beam-delivery/laser-processing-heads/laser-welding-heads.
[70]"Fraunhofer COAX8." https://www.cmw.fraunhofer.org/en/expertise/LaserTechnologies/products/coax_8.html.
[71]"IPG YLS-3000-U." https://www.findlight.net/uploads/products/datasheet/YLS-3000-U-1-3-kW-Ytterbium-Fiber-Lasers.pdf.
[72]"GTV Powder Feeders and Feeding Systems." https://www.gtv-mbh.de/_Resources/Persistent/1/9/d/9/19d919782531545b2a53246d4df231eeb8e9d868/GTV_Pulverfoerderer-en.pdf.
[73]"KAUKAN water-cooling system." https://www.kaukan-tw.com/webls-zh-tw/product-water-cooler-unit-kw-series.html.
[74]"YASKAWA GA50." https://www.motoman.com/en-us/products/robots/industrial/welding-cutting/ga/ga50.
[75]"DLP3010EVM-LC." https://www.ti.com/tool/DLP3010EVM-LC.
[76]"Basler acA2440-75um." https://www.baslerweb.com/zh-tw/shop/aca2440-75um/.
[77]"0.15X - 0.5X VariMagTL™ Non-Telecentric Lens." https://www.edmundoptics.com.tw/p/015x-05x-varimagtltrade-non-telecentric-lens/29920/.
[78]"Newport M-ILCS200CCL." https://www.newport.com/p/M-ILS200CCL.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/95883-
dc.description.abstract積層製造(Additive Manufacturing, AM)在近年來由於技術的快速進步和應用範圍的擴展,這項技術在各行各業中越來越受重視。在此製程中,進行線上檢測已成為一個關注的焦點。本論文旨在利用光學量測系統於直接能量沉積(DED)製程程中進行線上檢測調整,克服傳統DED只能在工件加工完成後進行品質評估的局限。在製程中調整機械手臂位置和速度,提升沉積效率,避免材料浪費,不僅能減少成本支出,也避免了工件重新製作的可能性。
本論文以方管工件為標的物,實驗了兩種常見的路徑抬升方式:單層抬刀路徑和螺旋路徑,並比較光學量測調整機械手臂位置前後的差異。在光學量測調整後,每5層之熔覆高度趨於穩定,表明本光學量測系統在穩定製程方面具有其價值性。結果顯示,原先在兩種抬升路徑下無法成型至CAM設定高度的工件,不僅能順利成型,減少了加工層數並節省了至少15%的加工時間。單層抬刀路徑的沉積效率從29.22%提升至34.68%,而螺旋路徑則從30.03%提升至35.75%。
由於本論文選定的工件為方管,熔覆過程中在平面路徑上無差異,只需調整雷射對焦位置即可成型。但實際加工中,多數工件含有曲面,需考慮其熔覆高度與CAM程式計算相匹配,方能順利成型。因此針對需要高精度要求之工件時,在調整雷射對焦位置的基礎上,額外挑選機械手臂的移動速度進行補償,根據量測結果與CAM程式設定之差值,調整機械手臂的移動速度。實驗結果顯示,隨著加工層數增加,高度誤差逐漸收斂至0.1 mm以內,加工層數與CAM程式計算相匹配並順利成型。單層抬刀路徑的沉積效率從29.22%提升至39.12%,而螺旋路徑則從30.03%提升至39.18%。
zh_TW
dc.description.abstractAdditive Manufacturing (AM) has garnered increasing attention across various industries in recent years due to rapid technological advancements and the expanding range of applications. In this process, online measurement has become a focal point. This thesis aims to utilize an optical measurement system for online adjustments in the Directed Energy Deposition (DED) process, overcoming the traditional limitation of DED, which only allows for quality assessment after the workpiece has been processed. Adjusting the position and speed of the robotic arm during the process makes it possible to enhance deposition efficiency, avoid material waste, reduce costs, and eliminate the need to rework the workpiece.
This thesis focuses on a square tube workpiece and experiments with two common path-lifting methods: layer-by-layer and spiral. It compares the differences before and after integrating optical measurement to adjust the robotic arm's position. After the optical measurement adjustments, the cladding height stabilized every five layers, indicating the value of this optical measurement system in process stabilization. The results show that workpieces, which previously could not reach the CAM-specified height under both lifting paths, not only successfully formed but also reduced the number of processing layers and saved at least 15% of processing time. The deposition efficiency of the layer-by-layer path increased from 29.22% to 34.68%, while the spiral path improved from 30.03% to 35.75%.
Since the selected workpiece is a square tube, there is no difference in the planar path during the cladding process, and forming can be achieved by merely adjusting the laser focus position. However, in practical processing, most workpieces contain curved surfaces, requiring consideration of the cladding height to match the CAM program calcul
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dc.description.tableofcontents誌謝 i
摘要 ii
Abstract iii
目次 v
圖次 viii
表次 xii
第一章 緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 研究目的 4
1.4 論文架構 4
第二章 文獻回顧 6
2.1 引言 6
2.2 製程參數選擇 6
2.3 路徑規劃 8
2.4 DED線上檢測 10
2.5 三維形貌資訊重建 14
2.5.1 飛時測距法(Time of Flight, TOF) 15
2.5.2 立體視覺法(Stereo Vision) 16
2.5.3 結構光法(Structured Light) 18
2.6 結構光相位移法(Phase Shifting Profilometry) 20
2.7 相位還原 22
2.8 文獻回顧總結 29
第三章 研究方法 32
3.1 研究架構 32
3.2 田口實驗方法(Taguchi method) 32
3.3 加工路徑生成 35
3.4 相機校正(Camera calibration) 37
3.4.1 針孔成像模型(Pinhole camera model) 38
3.4.2 影像畸變校正 39
3.4.3 張氏相機校正(Zhang’s camera calibration) 42
3.5 相位高度轉換 43
3.6 三維點雲前處理 48
3.6.1 離群值剔除(Statistical Outlier Removal) 48
3.6.2 德勞內三角化(Delaunay triangular) 51
3.7 RANSAC平面擬合 54
3.8 DED熔覆層高度量測 56
第四章 實驗設備與系統整合 58
4.1 實驗系統架構 58
4.2 DED實驗設備 59
4.3 機械手臂 61
4.4 結構光光學量測模組 62
4.5 電腦GUI控制軟體 68
第五章 實驗結果與分析 70
5.1 DED加工參數選擇 70
5.2 結構光量測模組之系統校正 70
5.2.1 結構光光學量測模組之相機校正 70
5.2.2 結構光光學量測模組之相位與高度校正 72
5.3 結構光光學量測模組之精度驗證 75
5.4 加工工件及路徑選擇 79
5.4.1 單層抬刀路徑(Layer-by-layer, LBL) 79
5.4.2 螺旋路徑(Spiral) 80
5.5 單層抬刀路徑(Layer-by-layer, LBL) 82
5.5.1 無光學線上檢測調整機械手臂之DED製程結果 82
5.5.2 光學線上檢測調整機械手臂位置之DED製程結果 85
5.5.3 光學線上檢測調整機械手臂位置與速度之DED製程結果 89
5.5.4 結果分析比較 92
5.6 螺旋路徑(Spiral) 95
5.6.1 無光學線上檢測調整機械手臂之DED製程結果 95
5.6.2 光學線上檢測調整機械手臂位置之DED製程結果 98
5.6.3 光學線上檢測調整機械手臂位置與速度之DED製程結果 100
5.6.4 結果分析比較 104
第六章 結論與未來展望 107
6.1 結論 107
6.2 未來展望 107
參考文獻 110
-
dc.language.isozh_TW-
dc.title光學精密量測結合機械手臂應用於直接能量沉積製程中量測與品質提升研究zh_TW
dc.titleResearch on In-Cycle Gauging and Quality Enhancement in Direct Energy Deposition Using Optical Metrology with Robotic Arm Scanning Strategyen
dc.typeThesis-
dc.date.schoolyear112-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee章明;林派臣;黃重鈞zh_TW
dc.contributor.oralexamcommitteeMing Chang;Pai-Chen Lin;Chung-Chun Huangen
dc.subject.keyword積層製造,直接能量沉積,線上檢測,光學量測,數位結構光投影,zh_TW
dc.subject.keywordAdditive Manufacturing,Direct Energy Deposition,In-cycle Inspection,Optical Measurement,Digital Structured Light Projection,en
dc.relation.page116-
dc.identifier.doi10.6342/NTU202403352-
dc.rights.note未授權-
dc.date.accepted2024-08-12-
dc.contributor.author-college工學院-
dc.contributor.author-dept機械工程學系-
顯示於系所單位:機械工程學系

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