Volume 2018, Issue 1 4826020
Research Article
Open Access

Evaluation of Residual Stress on Steel Parts Welded and Milled

Frederico Ozanan Neves

Corresponding Author

Frederico Ozanan Neves

Laboratório de Fabricação, DEMEC/UFSJ, Praça Frei Orlando 170, São João del Rei, MG, Brazil ufsj.edu.br

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Antônio Célio Moreira Junior

Antônio Célio Moreira Junior

Laboratório de Fabricação, DEMEC/UFSJ, Praça Frei Orlando 170, São João del Rei, MG, Brazil ufsj.edu.br

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Alex Sander Chaves da Silva

Alex Sander Chaves da Silva

Laboratório de Fabricação, DEMEC/UFSJ, Praça Frei Orlando 170, São João del Rei, MG, Brazil ufsj.edu.br

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First published: 19 March 2018
Citations: 4
Academic Editor: Fernando Lusquiños

Abstract

Welded parts are common in mechanical engineering. As all manufactured parts, they also present residual stresses introduced by the corresponding manufacturing process. Residual stresses can be beneficial or not because they can increase or reduce the useful life of the mechanical components, particularly when they are subjected to a cyclic stress in which they can fail by fatigue. In this study, SAE 1045 steel samples were welded by metal inert gas process, varying the speed and welding current. The welded samples were thereafter milled, including the welded region. Residual stresses on material as received, welded, and welded and subsequently milled were evaluated through the microhardness method. A factorial statistical design was used, and the results were studied by analysis of variance. It can be concluded that, in general, welding introduces compressive residual stresses which are improved by posterior milling operation, and there is an optimal set of operating parameters for this condition.

1. Introduction

Currently, it is necessary to understand and control the manufacturing processes and manufactured products to achieve higher efficiency and production quality as well as low-cost operations. The gas metal arc welding (GMAW) is a procedure considered as advantageous when compared to other welding processes due to production capacity, applicability, and the automation possibilities. Several parameters can influence a weld, which make adjustment procedure difficult [1, 2]. Among them, welding electric current, the polarity of the arc, the composition and the diameter of the electrode, shielding gas, and welding speed are the main parameters [3].

Welding current is very important in the process and must be adequate to the wire speed feed [4]. Welding current is set up from information about the material to be welded, the electrode type and its diameter, and the protection gas. Another important parameter is welding speed. A common strategy is to increase welding current as welding speed is increased, normally in a proportional way. If the welding current or welding speed is above a critical value, a defect named humping occurs. In this case, the welding current combined with welding speed represents the upper limit to design, that is, the upper limit of welding current and welding speed combination in parameter optimization design [5]. When mechanical and thermal processes are realized, residual stresses can be generated. In welding, tensile residual stresses occur as result of the high heat input, which reduce fatigue strength [6]. Residual stress is induced by machining processes and, depending on its magnitude and sign, can be very detrimental to mechanical parts when they are in service [7]. Several studies are being realized to diagnose the type and nature of these stresses originated from machining [810].

Residual stress can be evaluated using indentation tests. This method compares the surface hardness of a material before and after manufacturing process. If the hardness is higher than the hardness of the material after processing, it indicates that a compressive residual stress is present on its surface. If lesser, then tensile residual stresses are present [1113]. In this study, a milled operation is done after a gas metal arc welded, to increase the surface finishing of the welded part. Then, residual stress is evaluated before and after processes to recommend or not these combined operations.

2. Materials and Methods

The experiment was done using a randomized factorial design. The influence variables were welding current, welding speed, the regions of the part, and two process conditions: parts only welded and parts welded and subsequently milled. The response variable was the microhardness, associated with residual stress. Welding was done in plates of 100 × 100 × 3.2 mm of SAE 1045 steel.

The plates were wet grinded and cut into two parts with a closed joint. An AWS ER-70S-6 electrode with a diameter of 0.8 mm was used. Protection gas used was constituted of 80% of argon and 20% of CO2. This gas mixture was used as recommended by Moyer [14] and Suban and Tusek [15] to increase productivity and hardness of the bead weld.

After tests, three levels were chosen for welding current: I1 = 140 A, I2 = 160 A, and I3 = 176 A.

Three weld speeds were adopted: V1 = 4.5, V2 = 5.4, and V3 = 6.4 (mm/s). Three regions were observed in the welded part, as can be seen in Figure 1: (MZ) metal zone, (AZ) affected zone, and (BM) base material.

Details are in the caption following the image
Affected regions after welding.

A group of welded parts were milled to evaluate the residual stress in this condition to be compared with simple welded part. The parameters used in milling were depth of cut (d) = 0.3 mm, cutting speed (Sc) = 250 m/min, and feed rate (f) = 100 mm/min. The mill used was a tool with 2 teeth. Microhardness Vickers test was done using a load of 5 N in 20 s. Six points (P1, P2, P3, P4, P5, and P6), three in each side of the bead weld, were fixed to measure the microhardness, as shown in Figure 2.

Details are in the caption following the image
Measurement position (dimensions in mm).

3. Results and Discussion

An indentation test was done in the material as received to be compared with the parts welded and parts welded and milled. The results are shown in Table 1.

Table 1. Microhardness Vickers of the material as received by position of measurement.
P1 P2 P3 P4 P5 P6
Replica 1 238 242 240 240 242 238
Replica 2 239 243 241 240 242 239
Replica 3 240 242 240 241 243 240

In Table 2, the results of Microhardness Vickers obtained from parts welded and from parts welded and milled are shown. In Table 2, V1 = 4.5 m/min, V2 = 5.4 m/min, V3 = 6.4 m/min, I1 = 140 A, I2 = 160 A, and I3 = 176 A.

Table 2. Microhardness of parts welded and parts welded and milled.
Parts welded
I1 I2 I3
P1 P2 P3 P4 P5 P6 P1 P2 P3 P4 P5 P6 P1 P2 P3 P4 P5 P6
V1 245 250 255 256 250 246 250 252 253 252 250 256 254 254 257 255 256 254
248 253 255 255 249 248 247 253 255 249 248 248 252 253 256 260 259 258
247 253 256 256 250 249 250 252 254 255 250 248 251 253 258 258 256 253
V2 248 251 254 254 249 247 249 249 254 253 251 250 259 261 260 257 252 250
251 253 257 257 248 252 250 249 252 254 254 253 253 260 255 254 250 252
248 254 257 257 254 245 252 253 255 256 255 254 252 255 256 254 253 251
V3 250 252 254 254 250 250 252 250 254 253 251 251 253 252 258 259 258 251
252 253 254 254 249 249 249 249 252 255 253 255 252 255 256 257 258 252
249 250 252 252 250 248 253 255 257 254 255 250 255 258 260 259 258 255
  
Parts welded and milled
  
V1 276 280 286 286 270 260 270 273 279 282 280 269 268 290 284 270 268 270
278 272 275 276 258 268 269 270 270 279 270 269 260 269 274 290 286 279
261 269 270 280 271 266 262 270 275 277 269 263 267 271 280 274 270 273
V2 255 264 268 271 277 275 275 276 280 282 281 271 273 279 273 275 268 270
254 257 264 270 269 269 272 272 275 280 278 270 276 280 274 285 280 280
279 271 280 263 270 267 275 276 280 280 278 271 292 282 280 290 280 276
V3 270 274 279 280 270 270 266 286 283 269 265 272 290 290 294 300 293 280
278 270 267 275 270 269 256 249 268 271 258 270 298 295 299 295 293 275
270 271 273 275 274 270 246 270 278 265 260 270 290 284 295 299 293 280

An analysis of variance (ANOVA) with 95% of confidence was used. First, the results were analyzed for the parts only welded. Table 3 shows the results of the ANOVA, where SS = square sum, DF = degrees of freedom, MSS = mean square sum, and P value is the significance. When P value is lesser than 0.05, the result is significant, and the variable has influence in the process. In this table, the principal effects are V (welding speed), I (welding current), and P (position of the measure). VI, VP, and IP are the double interactions between the principal effects, and VIP is the triple interaction of the principal effects.

Table 3. Analysis of variance of the welded parts.
SS DF MSS P value
Total 1824.698 161
V 12.308 2 6.15 1.503 0.227
I 461.086 2 230.543 56.331 0.001 Significant
P 538.623 5 107.725 26.321 0.001 Significant
VI 30.246 4 7.561 1.847 0.125
VP 46.876 10 4.687 1.145 0.336
IP 106.765 10 10.67 2.608 0.007 Significant
VIP 186.791 20 9.339 2.282 0.004 Significant
ERR 442.000 108 4.092

From the ANOVA, it can be concluded that welding current and the measurement position are significant and influence the microhardness. The welding speed, however, proved to be not significant and does not influence the hardness of the parts.

The analysis of variance also showed an interaction between the welding current and the measurement position, and there was also interaction between the three variables. An orthogonal contrast test revealed that there is no difference between the results obtained with the welding current I1 and I2. But, the hardness increases when the welding current I3 is used. As the increasing of hardness is associated with the introduction of compressive residual stress, we can conclude that welding current at more high level is beneficial to fatigue strength in welded parts.

The measurement position also showed to be different. The position P1 is symmetric to position P6, as well as position P2 and P5, and position P3 is symmetric to P4. An orthogonal contrast test revealed that there is no difference between the symmetric positions, as we expected. But there is a difference between the hardness measured in the position in a same side. The hardness in the positions P3 and P4 are higher than hardness in the positions P2 and P5, and these are higher than measurements at positions P1 and P6. So, we can conclude that hardness decreases from the region near the bead weld toward the edge of the part.

The analysis of variance to the welded and milled condition is presented in Table 4.

Table 4. Analysis of variance of the welded and milled parts.
SS DF MSS P value
Total 15,222.94 161
V 421.800 2 210.907 5.394 0.006 Significant
I 3735.800 2 1867.910 47.774 0.001 Significant
P 1479.900 5 295.981 7.570 0.001 Significant
VI 3361.200 4 840.315 21.492 0.001 Significant
VP 291.666 10 29.166 0.745 0.680
IP 210.555 10 21.055 0.538 0.859
VIP 1499.259 20 74.963 1.917 0.018 Significant
ERR 4222.667 108 39.098

After milled, the three variables are influents. There is interaction between the welding current and welding speed, and there is interaction between the three variables. An orthogonal contrast test revealed that there is no difference between the results obtained with the welding speeds V1 and V2. But, the hardness increases when the welding speed V3 is used. In the same way, the welding current presents no difference between I1 and I2, but the welding current I3 influences the microhardness on welding part. As it can be seen in the welded part, there is no difference between the symmetric positions. But there is difference between the hardness measured at positions in the same side. The hardness in the positions P3 and P4 is higher than hardness at positions P2 and P5, and these are higher than measurements at positions P1 and P6.

Figure 3 presents the curves of microhardness measured to the welded and welded and milled and as-received parts as a function of measurement position and welding current, when the welding speed is the intermediated speed V2 = 5.4 mm/s. The same behavior is verified with the other two welding speeds. In Figure 3, it can be noted that the welding increases the microhardness compared to that measured in the part as received. Similarly, milling also increases the microhardness over only the part welded. Also, the behavior of the microhardness is symmetrical in relation to the weld bead and shows greater from central positions (P3 and P4) toward the edge of the piece (P1 and P6), regardless of processing (welded or welded and milled) and the welding current. It is important to pay attention to the fact that the effect of welding current be more pronounced in the welded and milled part.

Details are in the caption following the image
Microhardness for welding current and measurement position: effect of welding current.

In Figure 4, the curves of microhardness to the welded and welded and milled are presented and as received parts as a function of the measurement positions to welding speed. In this case, the values are those obtained when the welding current is the intermediated current I2 = 160 A. The same behavior is verified with the other two welding currents, as shown in Figure 3. As it was seen from welding current, welding speed also increased the microhardness of the part compared with the part as received. And by milling the welded part, the microhardness increased more. But, in a different way, the effect of welding speed V3 was not so pronounced in the microhardness as the effect of welding current I3, as seen in Figure 3.

Details are in the caption following the image
Microhardness for welding current and measurement position: effect of welding speed.

Here, the distribution of microhardness in surface of the parts of the welding speed variable, verified in the points P1 to P6, is equal to that of welding current variable.

4. Conclusions

As demonstrated by other authors, the hardness can be associated with residual stress. If it increases, the presence of compressive stress is noted. Other way, if it decreases, there is the presence of tensile stresses. In the case of welding of a SAE 1045 steel, it can be observed that compressive residual stresses are introduced. The intensities of these residual stresses are greater near the bead weld and decrease toward the edge of the part. Welding current increases still more the intensity of the residual stresses as detected in the welding current of 176 A. The effect of welding speed on residual stresses is lesser than the effect of welding current. The milling operation in a part after welding proved to increase the compressive residual stresses. In this case, the effect of the welding current of 176 A was very important. So, as a general conclusion, considering that a presence of a compressive residual stress is beneficial to fatigue strength and that the milling improves the surface quality of the product in relation to the welded surface, this work recommends the milling operation after welding of this kind of parts.

Conflicts of Interest

The authors declare that they have no conflicts of interest regarding the publication of this paper.

Acknowledgments

The authors want to thank FAPEMIG–Fundação de Amparo a Pesquisa do Estado de Minas Gerais for the financial support to this research.

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