查詢結果分析
來源資料
頁籤選單縮合
題 名 | PMMA骨水泥力學分析方法之建立 =The Study in PMMA Bone Cement Mechanical Analysis |
---|---|
作 者 | 勞寬; 許祐寧; 粘乃元; 黃守潔; 陳玉盆; 闕麗卿; 施養志; | 書刊名 | 食品藥物研究年報 |
卷 期 | 4 2013.11[民102.11] |
頁 次 | 頁286-292 |
分類號 | 440.325 |
關鍵詞 | PMMA骨水泥; 抗壓強度; 抗彎強度; 抗彎模量; 萬能試驗機; PMMA bone cement; Compressive strength; Bending strength; Bending modulus; |
語 文 | 中文(Chinese) |
中文摘要 | 配合行政院衛生署於 101年1月5日公告「 PMMA骨水泥臨床前測試基準」進行 PMMA骨水泥力學分析方法及檢驗能量之建立。本研究於 101年4至11月間,自醫療器材經銷商抽購檢體共計 5件(每件 8-10包,皆同批號 )其中美國製 2件,德國製 2件,英國製 1件。試驗設計參考國際標準 ISO 5833及ASTM F451,建立抗壓強度、抗彎強度及抗彎模量測試之方法,並進一步探討各試驗參數對材料試驗結果之影響。在抗壓試驗中比較不同壓縮速率 (19.8、 22.7及25.6 mm/min)下抗壓強度的力學表現。而在抗彎試驗中探討使用撓度計與移動橫桿 (cross head)移動距離所計算出的抗彎模量之差異性。結果: 5件市售檢體平均抗壓強度在不同壓縮速率下皆大於 70 MPa,平均抗彎強度皆大於 50 MPa,平均抗彎模量皆大於 1800 MPa。利用移動橫桿所得抗彎模量會高於使用撓度計之抗彎模量,經迴歸分析求得迴歸判定係數 (r2)為0.992。 |
英文摘要 | In order to meet “Guidance for Pre-clinical Testing of Poly (methyl methacrylate) (PMMA) Bone Cement.” announced by Taiwan Food and Drug Administration (TFDA) on January 5, 2012, the procedures of mechanical analysis for PMMA bone cement were established. Five samples of PMMA bone cement were collected from medical device dealers from April to November in 2012, 2 made in USA, 2 from Germany, and 1 from UK. We followed the international standard ISO 5833 and ASTM F451 to establish the compressive strength test, bending strength test and bending modulus test. Furthermore, the impact of various experimental parameters on the material test was compared. In the compressive strength test, the compressive strength was analyzed using different compressive velocity (19.8, 22.7 and 25.6 mm/min).The displacement gage and cross head distance were used to measure the bending strength and modulus respectively. The results revealed that average compressive strength of different velocity were greater than 70 MPa and the average bending strength were greater than 50 MPa and the average bending modulus were greater than 1800 MPa. The bending modulus calculated using the cross head distance was higher than that using displacement gage. The coefficient of determination was calculated by the linear regression equation with the regression coefficient (r2) of 0.992. |
本系統中英文摘要資訊取自各篇刊載內容。