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電腦模型與實體密合度的探討與應用

A Matching Index between a Computer Model and an Artifact

摘要


本研究使用逆向工程的方法搭配MicroScribe G2進行真人頭顱量測建立電腦模型,其作法爲使用矽膠彈性土建立頭顱負模後使用MicroScribe G2取點建立電腦模型,之後產出RP(rapidprototype)的安全頭盔,並請受測者穿戴。爲了解哪些因子影響電腦模型和實際物體的密合度,以相親相愛木雕作樣本並以田口L16實驗作實驗和分析,實驗的4 個因子爲:操作人員、SVD(singular value decomposition)的點數、結合點重覆量測的次數和檢驗點的重複次數。量測的標準爲檢驗點差異的SN比。SN比越高表示密合度愈好。本實驗指出操作人員、SVD 的點數和檢驗點的重複次數爲顯著因子。其中SVD的點數爲6時和檢驗點的重複次數爲5時產生的密合度最佳。我們用SN比所產生的S/N ratio得知前述兩個因子的水準也能產生最穩定的結果。

關鍵字

逆向工程 SVD 電腦模型

並列摘要


Reverse engineering with MicroScribe G2 was used to measure the negative mold of a human skull to construct a computer model thereof in Rhino, a task accomplished by using special clay to obtain a negative impression of the skull and measurement by MicroScribe G2 to build the model. Later a rapid prototype (RP) of ABS (acrylonitrile butacliene styrene) material was created for a helmet to fit the head studied. To understand the factors influencing the match between the computer model and its artifact, ”Love each other,” a wooden sculpture, was used as a sample to analyze data obtained by Graceo-Latin Square Design and the Taguchi method. The experiment showed that the significant factors were the operators, the SVD (singular value decomposition) number and repetitions of check points.

並列關鍵字

reverse engineering SVD computer model

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