研究生: |
陳殿禮 |
---|---|
論文名稱: |
傢俱木工三缺木隼接表面粗糙度與抗彎強度之分析研究 The Study of Surface Roughness & Bending Strength for One-third with through Joint of Cabinet Making |
指導教授: | 盧俊宏 |
學位類別: |
碩士 Master |
系所名稱: |
工業教育學系 Department of Industrial Education |
畢業學年度: | 86 |
語文別: | 中文 |
論文頁數: | 167 |
中文關鍵詞: | 傢俱木工 、木隼接 、結構強度 、表面粗糙度 |
英文關鍵詞: | cabinetmaking, joint, structure strength, surface roughness |
論文種類: | 學術論文 |
相關次數: | 點閱:283 下載:0 |
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本研究旨在探討不同木工機械製作之榫接表面粗糙度與結構強度
是否具有差異性,並探討兩者間之相關性。透過文獻探討、實驗研究
等方法蒐集所需資料,並以變異數分析、皮邇遜積差相關及線性迴歸
等統計方法,進行分析歸納,以提供傢俱業者與木工機械業者,從事
設計與製造工作時之參考依據。
本研究之重要摘要如下:
一、三組試件表面粗糙度值,經變異數分析(One-way ANOVA)及
事後比較的結果顯示,除了圓鋸機與立軸機製作之榫接表面粗糙
度間之變異(P>.05)不顯著外,另外兩組間(帶鋸機與圓鋸機、
帶鋸機與立軸機)之差異很大。
二、由表4-10之數據所示,可看出各機械製作榫接之表面粗糙度集
中與分散情形,三組試件中,以帶鋸機製作榫接,其表面粗糙度
之標準差(5.14μm)均大於其他二組,表示以該機器製作榫接之
表面粗糙度值最為分散,亦即其機械加工精度較差,其中又以立
軸機製作榫接之表面粗糙度之標準差(1.96μm)為最小,表示
以立軸機製作之榫接表面粗糙度較為集中,也就說立軸機之加工
精度較為一致。
三、三組榫接之彎曲力矩值,經變異數分析(One-way ANOVA)及
事後比較的結果顯示,除了帶鋸機與圓鋸機製作之榫接彎曲力矩
值間之變異很大外,另外兩組間之變異則不顯著。其中以帶鋸機
製作者之平均彎曲力矩值2210kgf-cm為最弱(小),而以圓鋸
機製作者之平均彎曲力矩值2417.5kgf-cm為最強(大),即表
示圓鋸機製作之榫接結構的抗彎強度優於其他兩種機械加工者。 四、將榫接表面粗糙度與彎曲力矩值兩幾頂,進行皮邇遜(K.Pearson)
積差相關的統計分析結果顯示,兩者間之相關係數γ=-.569,即
兩者間具有顯著負相關存在,表示榫接表面粗糙度值愈大(粗),
則最大彎曲力矩值愈小,即榫接結構之抗彎強度愈弱,反之則愈
強。
五、榫接表面粗糙度(ROS)與彎曲力矩值(BM)兩變項問,具有
顯著性相關,其原始分數迴歸方程式:
Y=-14.137ROS+2705.254
標準分數迴歸方程式:
ZBM=-0.569ZROS
This study aims at exploring if there is any related and difference between joint surface roughness value and structure strength of various in cabinetmaking. In the light of this, first of all, by way of probing into the documents, the data will gather necessarily by experiment, are processed analytically and inductively, using the statistical ways of One-way ANOVA, product-moment correlation by K. Pearson and liner regression, in order to provide the basis of reference for manufacturers and cabinetmakers when they are undertaking design and making.
The important points of this study are as follows:
First, three sets of testing articles of surface roughness values, by way of One-way ANOVA and the later comparison, manifests, except that the variability between the joint surface roughness value of the circular saw making and that of the shaper making is not outstanding, the variability between the other two sets (band saw and circular saw, band saw and shaper) is very large.
Second, as the statistical data of table 4-10 manifests, there were realize the assemblage and dispersion of the joint surface roughness value of each machine. Among the three sets, the standard difference of surface roughness value of the band saw making joint is larger those of the other two sets. This reveals the joint surface roughness value of that machine is the most dispersive; in other words, the precision of the machine processing is poorer. Among them the standard difference of the joint surface roughness value of the shaper making is the smallest, showing that the joint surface roughness value of the shaper making assemble more; therefore, the precision of the band saw processing is more consistent.
Third, the bending moment value of the three sets of joint reveals, by way of One-way ANOVA and the later comparison, except that the variability of the joint bending moment value of band saw and that of circular saw is very large, the variability between the other two sets is not outstanding. Among them, the average bending moment value of the circular saw, 2210 kgf-cm, is the strongest, which means the bending strength of the joint structure of the circular saw making is superior to that of the other two machines.
Fourth, both the varieties of the joint surface roughness value and bending moment are underwent by the statistic analysis of product- moment correlation by K. Pearson and the result comes out that the relative figure, which means there exists minus relationship between the two, revealing that the larger the value of joint surface roughness becomes, the smaller the value of the largest bending moment becomes; that is, the weaker of the bending strength becomes.
Fifth, There exists the outstanding relation between the two variants -- the roughness of surface of the joints and the bending moment, and the raw score of regression formula is as follows:
Y=-14.137ROS+2705.254
The regression formula of the standard score is as follows:
ZBM=-0.569ZROS