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題名 | On-Line Layer Monitoring and Defect Inspection of Model Maker Rapid Prototyping System Using Vision Technology=視覺技術在Model Maker快速原型系統的線上監控與檢測 |
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作者 | 鄭正元; 汪家昌; 林宗德; Jeng, Jeng-ywan; Wang, Jia-chang; Lin, Tsung Te; |
期刊 | 中國機械工程學刊 |
出版日期 | 19991200 |
卷期 | 20:6 1999.12[民88.12] |
頁次 | 頁575-584 |
分類號 | 446.8 |
語文 | eng |
關鍵詞 | 電腦視覺技術; Model maker快速原型系統; 線上監控; 檢測; Rapid prototyping; On-line monitoring; Visual inspection; Texture discrimination; |
中文摘要 | 快速原型技術本質上是一種二維的層加工技術並且已經成功的運用來完成三維造 型的製作,但是在大多數的原型機具在加工的過程中,因為技術上的新穎而不夠純熟,而仍 然存在許多穩定性及可靠性不佳的問題。使用線上檢測及監控於快速原型的製程上以提高系 統的穩定性及可靠性是相當有價值的研究。電腦視覺的技術已經被用於工業上的線上檢測及 監控,且大部分的系統都是二維影像的處理,因此在快速原型製作上的二維層加工上有非常 大的發展機會。 本研究採用一個灰階的 CCD 數位攝影機及濾波、平滑、影像差分和紋理分 割等數種不同的影像處理技術成功在製程中檢測到產品的缺陷。對所發展出的適應性紋理的 分析方法用於缺陷的檢測在本文中提出,同時對傳統上的影像差分及適應性紋理的分析對缺 陷的檢測的效果進行評量。雖然適應性紋理的分析方法需要較大量的電腦運算,但仍然被建 議採用。在缺陷被成功的找到之後,由一個缺陷修補程式可以用來產生修補的控制碼,直接 在線上進行修補, 達成線上檢測及監控。 本研究結果展現了結合電腦視覺於 Model Maker 快速原型系統上進行線上檢測及監控。 |
英文摘要 | Rapid Prototyping (R.P) technology, which is actually a 2D layer material processing technology, has been successfully employed to fabricate a 3D object, layer by layer. However, the process stability and reliability for most RP systems present an impressive problem, since the RP technology is relatively new for general industries. Hence, on-line inspection and monitoring to increase the reliability and stability of the RP process is an interesting research topic. Vision technology also has been successfully applied to on-line inspection and monitoring of industrial processes, but most applications are still limited to 2D patterns. Hence, vision technology has great potential to inspect and monitor the RP process, because both of these two technologies are characterized as 2D processes. A monochrome CCD camera and several image-processing algorithms, including filtering, smoothing, image difference, and texture discrimination algorithms, were employed in this research to capture the object image and identify defects. The detailed algorithm for the adaptive texture analysis in defect inspection was developed and presented. Also, the effects of image differences and adaptive texture analysis on defect inspection were evaluated. Defect inspection using adaptive texture analysis is recommended in this research, though the algorithm and computation are more complicated. Once a defect was identified, a compensated program was generated and transferred back on-line to fix the defect, layer by layer. Hence, on-line monitoring was achieved. The research results show promise for on-line layer monitoring and defect inspection of Model Maker RP system using vision technology. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。