Summary of the invention:
The present invention is on the basis of analyzing domestic and international multiple basic covering slag system, new basic electrode slag system is proposed, and the uniform Design method and the computer software arrangement test that utilize uniform Design branch of Chinese Mathematical Society to recommend, a kind of novel slag system environment protection type low dust wire solder of developing.
Above-mentioned purpose realizes by following technical scheme:
The composition of novel slag system environment protection type low dust wire solder comprises: coating, core wire.The parts by weight of described coating auxiliary material are: marble 17.44~42.9, barium fluoride 3.77~13.52, wollastonite 3.61~21.56, titanium dioxide 1.33~7.17, rutile 0~11.05, al-mg powder 0~6.15, fluorite 3.97~16.94, brium carbonate 0~9.01, iron powder 0~24.71, low silicon~2.5, middle manganese~3.5, ferrotianium~9.5, soda ash~0.5.
The core wire of novel slag system environment protection type low dust wire solder adopts H08A.
This technical scheme has following beneficial effect:
1. when selecting metal carbonate, what the present invention adopted is marble and brium carbonate, and does not select magnesia for use, and its reason is that the powder amount of magnesia is bigger.The adding of multiple carbonate can improve the transitional form of molten drop, improves the burn-off rate of welding rod, and the viscosity of adjusting molten drop reduces the surface tension of molten drop, thereby makes the minimizing of splashing, and obtains good processing performance.
2. silicon can form glassy entering in the slag with alkali metal and alkaline-earth metal.Therefore, in coating, improve silicate and not only can reduce flue dust, can also reduce the toxicity of flue dust simultaneously.According to this argument, the present invention has selected wollastonite in numerous coating auxiliary materials.This material is a kind of natural calcium metasilicate mineral, and its molecular formula is CaSiO
3, it is little that it has a linear expansivity, physical characteristics such as crystallization phase transition temperature narrow range.Therefore, the adding of this auxiliary material can also improve the deslag performance of weld seam, and helps the all-position welding of welding rod.
3. from reducing the angle of powder amount, fluoride in the coating and carbonate content are low more good more, and TiO
2Content higher for well.From improving arc stability, wish that also the content of fluoride in the electrode coating is low, TiO
2Content high, but TiO
2Content can not be too high because TiO
2Too high levels can cause the low-temperature impact toughness of weld seam to descend.TiO
2The source mainly contain rutile and titanium dioxide, they all are good slag formers, can make slag become short slag.Titanium dioxide still is fabulous plastic-viscous admixture, helps improving the extrusion performance of welding rod.
4. the increase of magnesium metal can make the oxygen amount reduce, and improves the toughness of welding point.Add magnesium powder, the MgF that generates in the Welding Metallurgy process in the coating
2Can form the difficult volatilization soluble compound NaMgF of portion with volatile solubility NaF (poisonous)
3When NaF formed difficult volatilization portion soluble compound, its vapour pressure reduced, and the soluble fluoride absolute magnitude also should be followed minimizing in the dirt, made it obtain the effect that poison falls in depositing dust.
5. the ferroalloy that ferrotianium, ferrosilicon, ferromanganese, iron powder etc. are commonly used all has certain depositing dust, falls toxic action when addition is little, and than strong many of general mineral pulvis effect.Ferrotianium is a deoxidier commonly used in the coating, and it is a kind of active element, and is big to the affinity of oxygen, and deoxidation effect is good.So the present invention has suitably added multiple metal powder in electrode coating.
6. the present invention takes into full account after the selected auxiliary material, adopt the way of thinking of uniform Design, the computer software that uses uniform Design branch of Chinese Mathematical Society to recommend in a large number, is systematically arranged test, and determines specific proportioning of the present invention by stepwise regression analysis research non-linearly.The present invention has provided the relation of welding rod 6 process performance index (arc stability, splash, welding slag covers, take off slag, shaping, pore and powder amount) and 9 kinds of electrode coating auxiliary materials, also provide the relation of 4 kinds of flue dust nuisance chemical analysis component contents (fluorine, iron, sodium+potassium, calcium+barium) and 9 kinds of electrode coating auxiliary materials, and set up the Mathematical Modeling between this 10 indexs and the 9 kinds of electrode coating auxiliary materials respectively.Through variance analysis, show that 10 regression equations are highly significant.This invention has also provided the influence law curve of 9 kinds of coating auxiliary materials to a plurality of process performance index such as arc-stabilising, the removability of slag, powder amounts, in order to observe the influence trend of electrode coating auxiliary material to different welding technological properties intuitively, roughly.
Following table is to adopt the distribution of the testing site in higher dimensional space (coating recipe) that the uniform Design method provides.
Table 1 novel slag system environment protection type low dust wire solder test recipe data (part by weight wt%)
Be respectively that 6 process performance index are explained corresponding to Mathematical Modeling, variance analysis and the implication of multiple coating auxiliary material below.
(1) arc stability
Regression equation Y1:WH
Y=+7.40457E+0 |
F |
+5.34164E-03 *X1*X9 +1.40864E-02 *X2*X8 -1.34397E-02 *X2*X9 -3.05041E-03 *X9*X9 |
2.3754E+01 1.1308E+01 2.6012E+01 6.1855E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
1.6074E+01 |
4 |
4.0184E+00 |
When confidence limit α=0.01, F adds up value=1.5370E+01 F (4,19)=4.5003E+00 |
Residue |
4.9674E+00 |
19 |
2.6144E-01 |
Amount to |
2.1041E+01 |
23 |
|
Coefficient of multiple correlation R=0.874023651 residual standard deviation S=5.1132E-01
The coefficient of determination Ra=+0.72850494 that adjusts
By equation as can be seen, the syntagmatic between the coating auxiliary material exists comparatively complicated regularity to the influence of arc-stabilising, is the continuity curve in the hyperspace.1. the reciprocation between marble and the iron powder has good effect to arc-stabilising, is positive correlation; 2. the reciprocation between barium fluoride and the brium carbonate shows as positive correlation too to arc-stabilising; 3. and the quadratic term effect of the reciprocation between barium fluoride and the iron powder, iron powder then all shows as negative correlation, the affiliation that adds that they are described reduces arc stability.
(2) splash
Regression equation Y2:FJ
Y=+1.14667E+0 |
F |
-1.00612E-01 *X1 -4.02662E-03 *X3*X9 -2.99428E-02 *X4*X5 +4.89062E-03 *X5*X9 |
4.4124E+01 1.3549E+01 2.9840E+01 5.8285E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
8.1730E+00 |
4 |
2.0433E+00 |
When confidence limit α=0.01, F adds up value=1.6042E+01 F (4,19)=4.5003E+00 |
Residue |
2.4201E+00 |
19 |
1.2737E-01 |
Amount to |
1.0593E+01 |
23 |
|
Coefficient of multiple correlation R=0.878375352 residual standard deviation S=3.5689E-01
The coefficient of determination Ra=+0.73727475 that adjusts
By equation as can be seen, the syntagmatic between the coating auxiliary material exists comparatively complicated regularity to the influence of splashing: 1. the influence of coating auxiliary material and one-component marble is bigger, is negative correlation, illustrates that its affiliation that adds makes the increase of splashing; 2. the reciprocation between the reciprocation between wollastonite and the iron powder, titanium dioxide and the rutile all is a negative correlation; 3. the reciprocation between rutile and the iron powder then is shown as positive correlation, and their affiliation that adds reduces spatter.
(3) welding slag covers
Regression equation Y3:FG
Y=+6.51776E+00 |
F |
-2.80051E-03*X1*X7 +1.20195E-02*X3*X7 |
5.1079E+00 1.3308E+01 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
8.4862E+00 |
2 |
4.2431E+00 |
When confidence limit α=0.01, F adds up value=7.9222E+00 F (2,21)=5.7804E+00 |
Residue |
1.1247E+01 |
21 |
5.3560E-01 |
Amount to |
1.9734E+01 |
23 |
|
Coefficient of multiple correlation R=0.655771901 residual standard deviation S=7.3184E-01
The coefficient of determination Ra=+0.40412937 that adjusts
By equation as can be seen, the influence that the syntagmatic between the coating auxiliary material covers welding slag exists comparatively complicated regularity, is the continuity curve in the hyperspace.1. the reciprocation between marble and the fluorite is a negative correlation; 2. the reciprocation between wollastonite and the fluorite then is positive correlation; 3. the latter's influence is greater than the former.
(4) take off slag
Regression equation Y4:TZ
Y=+4.68705E+0 |
F |
+6.43822E-03 *X3*X3 +1.39784E-02 *X5*X9 |
2.3778E+01 1.0836E+01 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
2.0075E+01 |
2 |
1.0038E+01 |
When confidence limit α=0.01, F adds up value=1.4613E+01 F (2,21)=5.7804E+00 |
Residue |
1.4425E+01 |
21 |
6.8688E-01 |
Amount to |
3.4500E+01 |
23 |
|
Coefficient of multiple correlation R=0.762821285 residual standard deviation S=8.2879E-01
The coefficient of determination Ra=+0.56289160 that adjusts
By equation as can be seen, the syntagmatic between the coating auxiliary material exists comparatively complicated regularity to the influence of the removability of slag, is the full curve in the hyperspace.1. the quadratic term of wollastonite is of value to and takes off slag; 2. the reciprocation between rutile and the iron powder also is of value to and takes off slag.
(5) be shaped
Regression equation Y5:CX
Y=+7.96227E+00 |
F |
-9.53845E-03 *X1*X4 +3.30587E-02 *X3*X6 -5.57676E-02 *X6*X6 |
8.8369E+00 1.1733E+01 5.9053E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
1.5400E+01 |
3 |
5.1333E+00 |
When confidence limit α=0.01, F adds up value=8.6409E+00 F (3,20)=4.9382E+00 |
Residue |
1.1881E+01 |
20 |
5.9407E-01 |
Amount to |
2.7281E+01 |
23 |
|
Coefficient of multiple correlation R=0.751322164 residual standard deviation S=7.7076E-01
The coefficient of determination Ra=+0.52300737 that adjusts
By equation as can be seen, the syntagmatic between the coating auxiliary material exists comparatively complicated regularity to the influence that is shaped, and is the full curve in the hyperspace.1. the reciprocation between wollastonite and the al-mg powder is positive correlation to the influence that is shaped; 2. the quadratic term effect of the reciprocation between marble and the titanium dioxide, al-mg powder is a negative correlation then, is unfavorable for appearance of weld.
(6) powder amount
Regression equation Y6:FCL
Y=+9.27660E+00 |
F |
+5.41796E-02 *X2*X7 -6.74034E-02 *X4*X5 +7.35662E-02 *X6*X9 +2.37389E-02 *X8*X9 |
1.6809E+01 5.9481E+00 2.2476E+01 4.6129E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
2.4507E+02 |
4 |
6.1268E+01 |
When confidence limit α=0.01, F adds up value=1.4377E+01 F (4,19)=4.5003E+00 |
Residue |
8.0971E+01 |
19 |
4.2616E+00 |
Amount to |
3.2604E+02 |
23 |
|
Coefficient of multiple correlation R=0.866980330 residual standard deviation S=2.0644E+00
The coefficient of determination Ra=+0.71440313 that adjusts
By equation as can be seen, the syntagmatic between the coating auxiliary material exists comparatively complicated regularity to the influence of powder amount, is the continuity curve in the hyperspace.1. barium fluoride and fluorite, al-mg powder and iron powder, brium carbonate and iron powder, in twos reciprocation all can make powder amount increase between them; 2. the reciprocation between titanium dioxide and the golden red then can reduce powder amount.
Be respectively fluorine content in the flue dust, iron content, sodium potassium content, calcium barium content's index Mathematical Modeling and The results of analysis of variance below corresponding to 9 kinds of coating auxiliary materials.
(7) fluorine content in the flue dust
Regression equation Y7:FA
Y=+1.22405E+01 |
F |
+2.00434E+01 *X7 -1.47736E+02 *X1*X5 -6.77143E+02 *X2*X6 +6.40666E+02 *X5*X7 -5.35608E+02 *X5*X8 |
4.1356E+00 5.3820E+00 1.9844E+01 8.6162E+00 9.3019E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
5.5702E+01 |
5 |
1.1140E+01 |
When confidence limit α=0.01, F adds up value=9.1660E+00 F (5,18)=4.2479E+00 |
Residue |
2.1877E+01 |
18 |
1.2154E+00 |
Amount to |
7.7579E+01 |
23 |
|
Coefficient of multiple correlation R=0.847349774 residual standard deviation S=1.1025E+00
The coefficient of determination Ra=+0.65863356 that adjusts
(8) iron content in the flue dust
Regression equation Y8:FEA
Y=+1.29608E+01 |
F |
+6.47421E+01 *X4 +5.72518E+02 *X5*X9 -6.46721E+02 *X6*X8 |
7.7975E+00 4.3212E+01 2.7413E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
1.1256E+02 |
3 |
3.7519E+01 |
When confidence limit α=0.01, F adds up value=1.4714E+01 F (3,20)=4.9382E+00 |
Residue |
5.0999E+01 |
20 |
2.5499E+00 |
Amount to |
1.6356E+02 |
23 |
|
Coefficient of multiple correlation R=0.829572634 residual standard deviation S=1.5968E+00
The coefficient of determination Ra=+0.65849464 that adjusts
(9) sodium potassium content in the flue dust
Regression equation Y9:NAKA
Y=+2.29357E+01 |
F |
+6.78194E+02 *X2*X5 -3.66696E+02 *X2*X9 -8.13517E+02 *X5*X7 +1.60275E+02 *X7*X9 |
1.1084E+01 2.8146E+01 1.5943E+01 5.5702E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
6.0863E+01 |
4 |
1.5216E+01 |
When confidence limit α=0.01, |
Residue |
2.4361E+01 |
19 |
1.2822E+00 |
F adds up value=1.1867E+01 F (4,19)=4.5003E+00 |
Amount to |
8.5224E+01 |
23 |
|
Coefficient of multiple correlation R=0.845073354 residual standard deviation S=1.1323E+00
The coefficient of determination Ra=+0.67127132 that adjusts
(10) calcium barium content in the flue dust
Regression equation Y8:CABAA
Y=+1.09768E+0 |
F |
-1.64916E+02 *X4 -1.23581E+02 *X2*X3 +7.38227E+02 *X2*X7 +1.69572E+03 *X4*X4 +8.58790E+02 *X6*X8 |
3.9744E+00 8.1553E+00 9.1592E+01 2.8505E+00 7.2226E+00 |
Analysis of variance table
Soruces of variation |
Quadratic sum |
The free degree |
All the side and |
Conspicuousness |
Return |
1.7736E+02 |
5 |
3.5472E+01 |
When confidence limit α=0.01, F adds up value=2.3720E+01 F (5,18)=4.2479E+00 |
Residue |
2.6918E+01 |
18 |
1.4955E+00 |
Amount to |
2.0428E+02 |
23 |
|
Coefficient of multiple correlation R=0.931786804 residual standard deviation S=1.2229E+00
The coefficient of determination Ra=+0.84048489 that adjusts
9 kinds of coating auxiliary materials are to the trend that influences of 6 process performance index such as Fig. 1 ~ illustrated in Figure 9
Description of drawings:
Fig. 1 marble is to the trend that influences of 6 process performance index
Fig. 2 barium fluoride is to the trend that influences of 6 process performance index
Fig. 3 wollastonite is to the trend that influences of 6 process performance index
Fig. 4 titanium dioxide is to the trend that influences of 6 process performance index
Fig. 5 rutile is to the trend that influences of 6 process performance index
Fig. 6 al-mg powder is to the trend that influences of 6 process performance index
Fig. 7 fluorite is to the trend that influences of 6 process performance index
Fig. 8 brium carbonate is to the trend that influences of 6 process performance index
Fig. 9 iron powder is to the trend that influences of 6 process performance index
9 kinds of coating auxiliary materials are to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust such as Figure 10 ~ illustrated in Figure 18.
Figure 10 marble is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 11 barium fluoride is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 12 wollastonite is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 13 titanium dioxide is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 14 rutile is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 15 al-mg powder is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 16 fluorite is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 17 brium carbonate is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust
Figure 18 iron powder is to the trend that influences of fluorine content, iron content, sodium potassium content, calcium barium content in the flue dust