Optimization of Laser-Assisted Polypropylene Aluminum Joining
Abstract
:1. Introduction
2. Materials and Methods
2.1. Surface Engraving of Al
2.2. Joining Process
- a amplitude of the circular movement (radius) (mm)
- f repetition frequency (Hz) (fixed 500 Hz)
- v feed rate in x (horizontal) direction (mm/s).
- n overlap giving a ratio of the covered area by the wobbling.
- a amplitude of the circular movement (radius) (mm)
- f repetition frequency (Hz) (fixed 500 Hz)
- v feed rate in x (horizontal) direction (mm/s).
- Pmod modulated power obtained by pulsing a CW (W)
- tmod duration of the pulse (s)
- fmod frequency of the pulses (Hz)
- Pp max power of the CW (W)
2.3. Optimization of the Process
2.4. Mechanical Testing
3. Results and Discussions
3.1. Mechanical Simulation
3.2. Design of Experiment
3.3. Testing
3.3.1. Microscopic Observation
3.3.2. Power Optimization
3.3.3. Tensile-Shear Test
4. Conclusions
- Laser joining of Al to PP is not feasible without pre-treatment processes. Laser engraving a pattern on the Al surface greatly increases the joining capacity by mechanical interlocking for the tensile-shear configuration.
- Several factors influence joint strength. They can be categorized into laser engraving and laser joining parameters. For engraving, line width, density, and speed influence the pattern and tooth dimensions for the purpose of mechanical interlocking. While for joining, an optimized combination of spatial and temporal modulations of the beam improves the weld quality by minimizing the PP thermal degradation.
- Modulated power presents a direct relationship with the depth of the Al melt pool and, consequently, PP thermal degradation. With the setup and configuration used for this study, 280 W of modulated power is the threshold of PP not being thermally decomposed. At 290 and 300 W, PP degrades in the form of small, separated bubbles with less than 25 µm in diameter, and the degradation of PP is escalated at 310 W and above, which significantly challenged the permeability and mechanical performance of the joints.
- The optimum engraving line width and density are 0.28 mm and 27.3%, respectively, to promote the mechanical interlocking between PP and Al. At a higher density, Al is damaged in the form of deep cavities that do not contribute to the joining process.
- The optimum engraving speed is 150 mm/s. Low speeds act similarly to high density and make Al prone to failure due to losing the cross-section.
- Finally, with the optimum setup for this study, a load of 1500 N, which corresponds to a strength of 20 MPa, is achieved for laser joining of 0.5 mm thick Al to natural PP. This optimum setup addresses the minimum weakening of the Al, regarding the mechanical performance, due to the laser engraving process, while the engraves are filled with PP in the presence of minimum thermal degradation.
- Achieving such a mechanical performance in LAMP joining via the development of mechanical interlocking for PP as a non-polar polymer can provide different applications in the automotive and packaging industries. It is worth mentioning that laser-based surface engraving with PW lasers is a fast, robust, and reliable process for such applications. However, the mechanical degradation of the metallic partner due to the loss of cross section should be addressed with some solutions such as using high-strength alloys.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Property | 1050-H24 Aluminum (Al) | Polypropylene (PP) |
---|---|---|
Dimensions | (60 × 30 × 0.5) mm | (75 × 25 × 4) mm |
Density | 2.71 g/cm3 | 0.92 g/cm3 |
Melting Point | 650 °C | 160 °C |
Evaporation temperature | 2327 °C | 300 °C |
Modulus of Elasticity | 71 GPa | 0.9 GPa |
Tensile Strength | 100 MPa | 25 MPa |
Factor | Name | Units | Type | SubType | Minimum | Maximum | Coded Low | Coded High | Mean | Std. Dev. |
---|---|---|---|---|---|---|---|---|---|---|
A | Density | % | Num. | Conti. | 15 | 35 | −1 ↔ 15.00 | +1 ↔ 35.00 | 25.00 | 7.07 |
B | Speed | mm/s | Num. | Conti. | 5 | 60 | −1 ↔ 5.00 | +1 ↔ 60.00 | 32.50 | 19.45 |
C | Width | mm | Num. | Conti. | 0.1 | 0.3 | −1 ↔ 0.10 | +1 ↔ 0.30 | 0.2000 | 0.0707 |
Run | Density (%) | Speed (mm/s) | Width (mm) | Shear Load (N) |
---|---|---|---|---|
1 | 25 | 32.5 | 0.2 | 1332 |
2 | 25 | 5 | 0.1 | 878.9 |
3 | 25 | 32.5 | 0.2 | 1211.7 |
4 | 15 | 32.5 | 0.1 | 900 |
5 | 35 | 32.5 | 0.3 | 1090 |
6 | 35 | 5 | 0.2 | 822.7 |
7 | 15 | 60 | 0.2 | 1212 |
8 | 25 | 32.5 | 0.2 | 1233 |
9 | 25 | 60 | 0.1 | 975.9 |
10 | 25 | 32.5 | 0.2 | 1095.3 |
11 | 35 | 60 | 0.2 | 1282 |
12 | 15 | 5 | 0.2 | 1182 |
13 | 25 | 32.5 | 0.2 | 1342 |
14 | 35 | 32.5 | 0.1 | 890 |
15 | 25 | 60 | 0.3 | 1424.2 |
16 | 15 | 32.5 | 0.3 | 1228.5 |
17 | 25 | 5 | 0.3 | 1258.4 |
Source | Sum of Squares | df | Mean Square | F-Value | p-Value | |
---|---|---|---|---|---|---|
Model | 4.754 × 10 5 | 6 | 79,233.52 | 11.98 | 0.0005 | significant |
A-Density | 23,958.60 | 1 | 23,958.60 | 3.62 | 0.0862 | |
B-Speed | 70,706.80 | 1 | 70,706.80 | 10.69 | 0.0084 | |
C-Width | 2.299 × 10 5 | 1 | 2.299 × 10 5 | 34.77 | 0.0002 | |
AB | 46,074.62 | 1 | 46,074.62 | 6.97 | 0.0248 | |
A2 | 53,877.15 | 1 | 53,877.15 | 8.15 | 0.0171 | |
C2 | 45,043.39 | 1 | 45,043.39 | 6.81 | 0.0261 | |
Residual | 66,141.69 | 10 | 6614.17 | |||
Lack of Fit | 25,524.91 | 6 | 4254.15 | 0.4190 | 0.8366 | not significant |
Pure Error | 40,616.78 | 4 | 10,154.19 | |||
Cor Total | 5.415 × 10 5 | 16 |
Analysis | Predicted Mean | Predicted Median | Std Dev | n | SE Pred | 95% PI Low | Data Mean | 95% PI High |
---|---|---|---|---|---|---|---|---|
Shear load | 1240.51 | 1240.51 | 81.3275 | 3 | 57.0006 | 1113.5 | 1237.27 | 1367.51 |
Failure of the Al at the engravement | |
Failure of the PP, which remains stuck in the engravement | |
Failure of the joint, Al left an imprint, but PP is not getting stuck in the grooves |
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Amne Elahi, M.; Marozzi, A.; Plapper, P. Optimization of Laser-Assisted Polypropylene Aluminum Joining. Appl. Sci. 2023, 13, 3582. https://doi.org/10.3390/app13063582
Amne Elahi M, Marozzi A, Plapper P. Optimization of Laser-Assisted Polypropylene Aluminum Joining. Applied Sciences. 2023; 13(6):3582. https://doi.org/10.3390/app13063582
Chicago/Turabian StyleAmne Elahi, Mahdi, Anthony Marozzi, and Peter Plapper. 2023. "Optimization of Laser-Assisted Polypropylene Aluminum Joining" Applied Sciences 13, no. 6: 3582. https://doi.org/10.3390/app13063582
APA StyleAmne Elahi, M., Marozzi, A., & Plapper, P. (2023). Optimization of Laser-Assisted Polypropylene Aluminum Joining. Applied Sciences, 13(6), 3582. https://doi.org/10.3390/app13063582