Table 5. The Result of Tensile Strength Data Regression Analysis 表5 抗拉强度回归分析结果
Variable 自变量
Constant 常量
AFS grain size
型砂粒度（AFS细度） Ash content
灰分（%） Resin addition
树脂加入量（%） Addition of curing agent
固化剂加入量（%） Ambient temperature
环境温度（℃） Ambient humidity
环境湿度（%） S = 0.102461 R-Sq = 75.6% R-Sq（调整 adjusted） = 74.9%
Table 6. The Result of Tensile Strength Data Multiple Regression 表6 抗拉强度数据多元逐步回归结果
步骤 Step
Constant 常量
Resin addition
树脂加入量（% ) T 值 T value P 值 P value
ambient humidity
环境湿度（%） T 值 T value P 值 P value AFS grain size
型砂粒度（AFS细度） T 值 T value P 值 P value Ash content
灰分（%） T 值 T value P 值 P value
addition of curing agent
固化剂加入量（%） T 值 T value P 值 P value S
R-Sq
R-Sq（调整 adjusted） Mallows Cp
1 -0.2490757 1.151
13.79 0.000
2
系数 系数标准误 0.0103688
1.162
16.38 0.000
-0.00478
-9.46 0.000
3 0.2324654 1.260
20.27 0.000
-0.00552
-12.43 0.000
-0.00718
-8.92 0.000
4 0.2301896 1.214
20.03 0.000
-0.00504
-11.46 0.000
-0.00579
-6.96 0.000 -0.056
-4.48 0.000
5 -0.0009894 1.193
20.46 0.000
-0.00483
-11.38 0.000
-0.00555
-6.94 0.000 0.060
-5.00 0.000
0.0063 4.59
0.152 45.28 45.04 276.4
From Table 6 it can be seen that the factors for tensile
strength rank as follows: resin addition, environmental humidity, sand grain size, ash content, and curing agent addi- tion from strong to weak. To verify the accuracy of the tensile strength regression
analysis, the best subset method was used. Te results are listed in Table 7.
By using the best subset method main factors for tensile
strength are ordered as resin amount, ash content, ambient humidity, sand grain size, which agrees with the multiple stepwise regression. Terefore, the multiple stepwise regression is verified.
0.129 60.65 60.31 136.7
0.111 70.83 70.44 44.9
0.107 73.20 72.73 25.0
0.000 0.102 75.48 74.94 6.0
由上表结果可得出抗拉强度结果影响大小因素依次为: 树 脂加入量、环境湿度、型砂粒度、灰分、固化剂加入量。 为了验证抗拉强度回归分析的准确性, 用最佳子集法进 行核实, 结果表7所示。
采用最佳子集法得到抗拉强度主要影响因素依次为树脂加 入量、灰分、环境湿度、型砂粒度, 结果与多元逐步回归所 得结果基本一致, 验证了抗拉强度逐步回归结果是准确的。
3.结论 Conclusions （1）通过实验及数据处理得到可使用时间与各影响因 62 |
FOUNDRY-PLANET.COM | MODERN CASTING | CHINA FOUNDRY ASSOCIATION February 2013
Coefficeints 系数
0.01172 -0.0056199 -0.005946 1.19484 0.006273 -0.0006922 -0.0047233
Standard Deviation of Coefficients 系数标准误
0.07827 0.0008030 0.01205 0.05833 0.001377 0.0007083 0.0004377 T 0.15 -7.00 -4.93 20.48 4.55 -0.98 -10.79 P 0.881 0.000 0.000 0.000 0.000 0.329 0.000
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86