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    Item type:Publication,
    Influence of indium addition on characteristics of Sn-0.3Ag-0.7Cu solder alloy
    (2009-10-19) ; ;
    Ariga, Tadashi
    Effects of indium (In) addition on solidus and liquidus temperatures, wetting time, wetting force, tensile strength, and microhardness of Sn-0.3Ag-0.7Cu lead-free solder alloy were investigated in this paper. Indium was added and varied from 0 to 3 wt%. It is found that solidus and liquidus temperatures of the solder alloy are lowered as the In content is increased. However, In also increases the melting range between solidus and liquidus temperatures. Wetting time of the solder alloy is reduced by the addition of In while the wetting force is increased with the increase of In content. With the addition of In, the Sn-rich phase is smaller in size, and the intermetallic compounds are more uniformly distributed. As a result, tensile strength and microhardness of Sn-0.3Ag-0.7Cu are increased when In is added into the solder alloy. © 2009 Elsevier B.V. All rights reserved.
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    Effects of wire-EDM machining variables on surface roughness of newly developed DC 53 die steel: Design of experiments and regression model
    (2007-10-01) ;
    Boonmung, S.
    DC53 is a newly developed cold die steel from Daido Steel, Japan. It is an improvement over the familiar cold die steel SKD11. Because DC53 is a new die steel, only little information is available in literature for its machining characteristics. This paper presents an investigation of the effects of machining variables on the surface roughness of wire-EDMed DC53 die steel. In this study, the machining variables investigated were pulse-peak current, pulse-on time, pulse-off time, and wire tension. Analysis of variance (ANOVA) technique was used to find out the variables affecting the surface roughness. Assumptions of ANOVA were discussed and carefully examined using analysis of residuals. Quantitative testing methods on residual analysis were used in place of the typical qualitative testing techniques. Results from the analysis show that pulse-on time and pulse-peak current are significant variables to the surface roughness of wire-EDMed DC53 die steel. The surface roughness of the test specimen increases when these two parameters increase. Lastly, a mathematical model was developed using multiple regression method to formulate the pulse-on time and pulse-peak current to the surface roughness. The developed model was validated with a new set of experimental data, and the maximum prediction error of the model was less than 7%. © 2007.
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    Item type:Publication,
    Effects of in addition on solidus and liquidus temperatures, microhardness, and wettability of Sn-0.3Ag-0.7Cu solder alloy
    (2008-12-01)
    This research was aimed to study effects of indium (In) addition on solidus and liquidus temperatures, wetting time, wetting force, and microhardness of Sn-0.3Ag-0.7Cu lead-free solder alloy. It was found that In had a strong influence on these properties of Sn-0.3Ag-0.7Cu. Solidus and liquidus temperatures of the solder alloys was lowered as the In content was increased. However, In addition increased the melting range between solidus and liquidus temperatures. Wetting time of the solder alloy was reduced by the addition of In while the wetting force was increased with the increase of In content. Microhardness of Sn-0.3 Ag-0.7Cu was increased by adding In into the solder alloy. With the addition of In, the Sn-rich phase was smaller in size, and the intermetallic compounds were more uniformly distributed.
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    Item type:Publication,
    Evaluation of artificial neural networks for pineapple grading
    (2006-10-01)
    Boonmung, Suwanee
    ;
    Chomtee, Boonorm
    ;
    The objective of this study is to evaluate resonant frequency, firmness and soluble solids for pineapple classification using artificial neural networks (ANNs) as the analytical tool. A sample of 149 pineapples was classified based on their internal qualities into five classes: unripe, partially ripe, ripe, partially overripe and completely overripe. The developed ANN model successfully classified pineapples into merely three classes as unripe, ripe and completely overripe. The most effective model was obtained when both resonant frequency and soluble solids were included in the model. The classification accuracy was more than 83% for all three classes. © 2006, Blackwell Publishing.
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    Item type:Publication,
    An investigation on effects of wire-EDM machining parameters on surface roughness of newly developed DC53 die steel
    (2007-06-12) ;
    Boonmung, S.
    DC53 is a newly developed cold die steel from Daido Steel, Japan. It is an improvement over the familiar cold die steel SKD11. Because DC53 is a new die steel, only little information is available in literature for its machining characteristics. This paper investigated the effects of machining parameters on surface roughness of wire EDMed DC53 die steel. The investigated machining parameters were pulse-on time, pulse-off time, pulse-peak current, and wire tension. Analysis of variance (ANOVA) technique was used to find out the parameters affecting the surface roughness. Assumptions of ANOVA were discussed and then examined through residual analysis. Quantitative testing methods on residual analysis were employed in place of the typical qualitative testing techniques. Results from ANOVA show that pulse-on time and pulse-peak current are significant variables to surface roughness of wire-EDMed DC53 die steel. The surface roughness of test specimen increased as these two variables increased. © 2007.