Defect Analysis and Detection of Cutting Regions in CFRP Machining Using AWJM
Abstract
:1. Introduction
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- Absence of damage due to temperature increase during cutting that could thermally damage the matrix. The water absorbs the heat generated by the impact of abrasive particles against the material.
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- Tool wear is minimal compared with traditional cutting tools. In addition, this wear is independent of the material to be machined.
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- Absence of high cutting forces on the workpiece and machine. Abrasive particles act as a cutting edge, generating comparatively low or negligible tangential cutting forces compared with traditional methods. Therefore, the fixation of the piece to the machine does not require complex tooling and its preparation time is reduced.
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- There is no direct contact between the cutting head and the workpiece. So deformation or vibration problems are avoided.
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- Although the same dimensional quality is generally not achieved as in traditional machining, the productivity rate is higher.
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- Good environmental performance because no vapors or gases are generated during machining.
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- Initial damage region (IDR). The impact of the jet deforms the surface of the material by the successive impact of the particles.
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- Smooth cutting region (SCR). The jet still possesses sufficient kinetic energy. In this region, the obtained roughness is reduced in comparison with the rest of the zones.
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- Rough cutting region (RCR). Striations are detected at the outlet of the material owing to the loss of energy from the jet. The worst surface quality results are obtained in this area.
2. Materials and Methods
2.1. Experimental Development
2.2. Test Evaluation
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- Zone 1. At the entrance of the cut in the erosion affected zone (EAZ). This zone can be identified with IDR.
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- Zone 2. Following the EAZ. Specifically, 1 mm from the entrance zone of the jet. This zone can be indentified with SCR.
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- Zone 3. The measurement was made at the outlet of the jet. Specifically, to 3.5 mm of the entrance of the jet. This zone can be identified with RCR and is related to the jet delay effect.
2.3. Statistical Analysis
3. Results and Discussion
3.1. Global Analysis of Results
3.2. ANOVA
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- Zone 1. The SOD and TFR parameters show the greatest degree of influence, although it is true that SOD shows the highest F-value, with a result of 52.35. This shows the importance of this parameter on the IDR zone owing to its effect on the coherence of the jet. This is reflected in Figure 10b with an increase in the mean value obtained as the distance increases. As for TFR, it was determined that it also has a degree of significance over the variable, but its influence is less. Thus, the figure shows that the parameter tends to increase roughness as speed increases, as reflected by the slope of Figure 10b for levels of 1500 mm/min and 2100 mm/min. The AMRF parameter has a reduced influence and has no significance on the process.
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- Zone 2. In this case, the parameters that show significance with the cutting process are repeated: TFR and SOD. However, with a different level of influence, as reflected in Table 5. Thus, the F-value decreases from 52.35 in Zone 1 to 8.36 in Zone 2 for SOD, and increases from 16.82 in Zone 1 to 17.65 in Zone 2 for TFR. These data reflect that, while TFR maintains a similar degree of influence, SOD suffers a severe decrease as the jet penetrates the machined piece. These values are reflected in Figure 10c, where the highest roughness values are because of the influence of TFR for levels from 1500 mm/min and 2100 mm/min. In this case, AMFR does not seem to have a determining influence on the formation of the defect. However, the increase of the F-value from 0.11 in Zone 1 to 3.26 in Zone 2 should be highlighted. This is reflected in the slope of the figure and in the decrease of the p-value in Table 5 from 0.744 obtained in the previous zone to 0.089.
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- Zone 3. In the last zone of roughness measurement, the parameters that show significance with the process are AMFR and TFR. In the first case, AMFR describes a strong relationship, showing the highest F-value with a result of 31.45, as described in Table 5. This is reflected in Figure 10d comparing the slope of the graphs obtained in the three zones, where it is observed as the slope that joins the average values of both levels of abrasive increases. This suggests that the appearance of the RCR zone is formed in machined samples with low levels of abrasiveness. As for TFR, the increase of the F-value to 26.62 illustrates what has been said so far. The degree of influence continues to increase with respect to the two previous areas and a considerable increase in roughness is observed for levels with high speed. The greatest increase in roughness occurs in the increase range of 300 mm/min to 900 mm/min. Finally, the influence of the SOD parameter decreases until it loses significance in the process, as shown in Table 6, and its reduced slope in Figure 10c with respect to the previous zones.
3.3. Analysis of Contour Graphs for Significant Parameters
3.3.1. Taper Analysis
3.3.2. Roughness Analysis
4. Conclusions
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- The values evaluated for T in the experiment varied between 1° and 5°. The data showed that the highest values of T are obtained when TFR and SOD reach 2100 mm/min and 4.5 mm, respectively.
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- The initial assessment of surface quality clearly shows that there are at least two well-defined roughness zones: IDR and SCR. The boundary between both zones was verified using SEM techniques. Measurements taken in Zone 1 showed roughness data above 15 μm for elevated SOD and TFR, while in Zone 2, values about 10 µm were obtanined under the same conditions. This results in approximately 35% lower roughness between zones.
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- Initially, the roughness analysis carried out in Zone 3 did not reveal any changes with respect to the values measured in Zone 2. However, the ANOVA of the data showed a significant change in the influence of parameters. In this sense, AMFR acquires great significance in the process, revealing its importance in the formation of RCR. Thus, in Zone 2 or SCR, the significant parameters were TGF (F-value = 17.35) and SOD (F-value = 8.36), while in Zone 3, the significant parameters were AMFR (F-value = 31.45) and TGF (F-value = 26.32).
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- Parameters that minimize the effect of taper during cutting are achieved with SOD values between 1.5 and 3.0 mm and TFR values lower than 350 mm/min.
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- The roughness data for IDR can be considerably reduced with SOD values lower than 2.0 mm and TFR values lower than 500 mm/min.
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- In Zone 2 or SCR the lowest roughness data of all cutting regions are obtained with parameters similar to those recommended in the IDR.
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- Roughness data in Zone 3 or RCR can be reduced when using low TFR values combined with high abrasive rates. In this experimental case, for values higher than 550 gr/min.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Parameter | Influence on Taper | Influence on Roughness |
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TFR | An increase in traverse feed rate means that the jet remains on the cutting surface for less time. This results in less particle impact, making the machined slot narrower [25]. | An increase in traverse feed rate causes an increase in roughness because there are less abrasive particles per unit area acting on the material. This effect accentuates the formation of RCR [26]. |
SOD | As SOD increases, the jet loses greater coherence, which translates into an increase in the diameter of the jet and therefore of T. This effect is particularly significant at the entry of the cut [27]. | A larger diameter of the jet causes an initial damage region that is more deformed by the impact of particles and, therefore, produces an increase in roughness in this region. SOD loses influence as the jet penetrates the composite [28]. |
WP | An increase in pressure leads to an increase in the kinetic energy of the jet causing greater erosion in the material, leaving a smoother surface. The roughness worsens as the jet loses energy, affecting the formation of SCR [29]. | An increase in pressure produces an increase in taper. This effect is more significant when the thickness of the material increases [30]. |
AMFR | There is no direct correlation between abrasive mass flow variation and T. Normally, increased abrasive flow results in a non-significant increase in taper angle [29]. | An increase in abrasive mass flow produces a greater presence of abrasive particles, which avoids the appearance of SCR during cutting. As a consequence, it generally generates a good surface quality at the exit of the cut. However, it can also cause collisions between particles, resulting in a decrease in the effectiveness of the cut [31]. |
Type of Material | Composition | Production Method | Technical Specification |
---|---|---|---|
Layers of carbon fiber with epoxy resin matrix and a symmetrical stacking sequence of (0/90) | Intermediate module fiber (66%) and epoxy resin (34%) | Prepreg and autoclaved at 458° ± 5° at a pressure of 0.69 MPa | AIMS-05-01-002 |
Parameter | Levels | |||
---|---|---|---|---|
TFR (mm/min) | 300 | 900 | 1500 | 2100 |
SOD (mm) | 1.5 | 3.0 | 4.5 | - |
AMFR (g/min) | 300 | 600 | - | - |
Orifice Diameter (mm) | Nozzle Diameter (mm) | Nozzle Lenght (mm) | Abrasive Size (µm) | Abrasive Type | Water Pressure (MPa) |
---|---|---|---|---|---|
0.30 | 0.8 | 94.7 | 120 | Garnet | 450 |
Test | TFR (mm/min) | SOD (mm) | AMFR (g/min) | T (°) | Zone 1 (µm) | Zone 2 (µm) | Zone 3 (µm) |
---|---|---|---|---|---|---|---|
1 | 300 | 1.5 | 300 | 0.880 | 5.87 | 5.03 | 5.44 |
2 | 300 | 1.5 | 600 | 0.761 | 6.10 | 4.24 | 4.27 |
3 | 300 | 3.0 | 300 | 1.171 | 6.08 | 5.30 | 6.01 |
4 | 300 | 3.0 | 600 | 0.996 | 6.74 | 5.15 | 4.32 |
5 | 300 | 4.5 | 300 | 3.457 | 10.54 | 6.51 | 7.58 |
6 | 300 | 4.5 | 600 | 3.743 | 10.70 | 6.67 | 6.19 |
7 | 900 | 1.5 | 300 | 2.283 | 7.05 | 6.31 | 7.19 |
8 | 900 | 1.5 | 600 | 2.517 | 5.75 | 5.38 | 5.53 |
9 | 900 | 3.0 | 300 | 2.634 | 7.50 | 6.33 | 6.68 |
10 | 900 | 3.0 | 600 | 2.751 | 6.90 | 5.48 | 5.78 |
11 | 900 | 4.5 | 300 | 2.926 | 9.45 | 7.21 | 7.79 |
12 | 900 | 4.5 | 600 | 3.160 | 9.35 | 6.38 | 6.11 |
13 | 1500 | 1.5 | 300 | 3.160 | 9.64 | 6.95 | 9.68 |
14 | 1500 | 1.5 | 600 | 3.393 | 6.71 | 6.14 | 6.41 |
15 | 1500 | 3.0 | 300 | 3.277 | 8.61 | 8.26 | 9.64 |
16 | 1500 | 3.0 | 600 | 3.103 | 9.18 | 6.92 | 7.11 |
17 | 1500 | 4.5 | 300 | 4.210 | 11.68 | 9.11 | 11.12 |
18 | 1500 | 4.5 | 600 | 4.151 | 13.45 | 11.13 | 9.98 |
19 | 2100 | 1.5 | 300 | 2.692 | 8.71 | 9.46 | 10.49 |
20 | 2100 | 1.5 | 600 | 3.043 | 7.90 | 6.83 | 7.08 |
21 | 2100 | 3.0 | 300 | 3.860 | 9.88 | 10.14 | 10.51 |
22 | 2100 | 3.0 | 600 | 4.200 | 9.29 | 8.18 | 8.92 |
23 | 2100 | 4.5 | 300 | 4.908 | 13.98 | 8.87 | 9.65 |
24 | 2100 | 4.5 | 600 | 5.257 | 15.36 | 9.02 | 7.50 |
TFR | SOD | AMFR | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Variable | F-Value | p-Value | Variable | F-Value | p-Value | Variable | F-Value | p-Value | |||
T | 20.18 | 0.000 | S | T | 21.45 | 0.000 | S | T | 0.40 | 0.534 | - |
Zone 1 | 16.82 | 0.000 | S | Zone 1 | 52.35 | 0.000 | S | Zone 1 | 0.11 | 0.744 | - |
Zone 2 | 17.65 | 0.000 | S | Zone 2 | 8.36 | 0.003 | S | Zone 2 | 3.26 | 0.089 | - |
Zone 3 | 26.62 | 0.000 | S | Zone 3 | 4.73 | 0.023 | - | Zone 3 | 31.45 | 0.000 | S |
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Mayuet Ares, P.F.; Girot Mata, F.; Batista Ponce, M.; Salguero Gómez, J. Defect Analysis and Detection of Cutting Regions in CFRP Machining Using AWJM. Materials 2019, 12, 4055. https://doi.org/10.3390/ma12244055
Mayuet Ares PF, Girot Mata F, Batista Ponce M, Salguero Gómez J. Defect Analysis and Detection of Cutting Regions in CFRP Machining Using AWJM. Materials. 2019; 12(24):4055. https://doi.org/10.3390/ma12244055
Chicago/Turabian StyleMayuet Ares, Pedro F., Franck Girot Mata, Moisés Batista Ponce, and Jorge Salguero Gómez. 2019. "Defect Analysis and Detection of Cutting Regions in CFRP Machining Using AWJM" Materials 12, no. 24: 4055. https://doi.org/10.3390/ma12244055
APA StyleMayuet Ares, P. F., Girot Mata, F., Batista Ponce, M., & Salguero Gómez, J. (2019). Defect Analysis and Detection of Cutting Regions in CFRP Machining Using AWJM. Materials, 12(24), 4055. https://doi.org/10.3390/ma12244055