| Literature DB >> 35406241 |
Shahbaz Juneja1, Jasgurpreet Singh Chohan2, Raman Kumar2, Shubham Sharma2,3, R A Ilyas4,5, M R M Asyraf6, M R Razman7.
Abstract
Ever since the introduction of 3D printing, industries have seen an exponential growth in production and efficiency. Three-dimensional printing is the process of additive manufacturing (AM) in which the conventional method of material removal is challenged. Layer-on-layer deposition is the basic principle of the AM. Additive manufacturing technologies are used to create 3D-printed objects. An object is built in an additive technique by laying down successive layers of material until the object is complete. Each of these layers can be viewed as a cross-section of the item that has been lightly cut. When compared to traditional production methods, 3D printing allows the creation of complicated shapes with less material. In conventional methods, the materials go through several damages due to the tool-workpiece contact creating friction between them and the dissipated heat that damages the material. Overcoming the conventional method of machining with the help of 3D printing is a new advancement in the industries. The process involves using non-conventional methods for the machining of the parts. This research was oriented towards the chemical vapor jet drilling of the acrylonitrile-butadiene-styrene (ABS) materials. ABS materials are highly machinable and can be recycled for further usage. This paper focused on the usage of acetone as the chemical for drilling. The surface roughness and circularity of the drilled hole was taken into account for this research paper. We set up a manual experiment to run tests and get results. A vapor jet machine was designed with acetone as the core for the vapor. Various analyses were also formulated and conducted during experimentations. Surface roughness analysis provided the insight of roughness after the machining with the help of acetone vapor jet spray. SEM and micro-image parameters were also considered for more clear and advanced reports. In this research paper, DSC and FTIR analysis were performed to understand changes in the internal structure and the material properties of the ABS. Moreover, the research aimed to investigate the effect of various inputs processing parameters such as pressure, flow rate, and stand-off distance on the surface roughness and circularity of ABS workpiece material. The Taguchi L9 orthogonal array design was utilized to conduct tests by chemical vapor jet drilling using acetone and to evaluate the performance of the set-up while reducing the influence of interfering factors in order to provide reliable surface finish and circularity results. The results and conclusion of the research paper aimed to determine the most suitable parameters for the non-conventional acetone vapor jet drilling of the ABS material. The theoretical calculations predicted 1.64432 and 0.3289080 values of surface roughness and circularity, respectively. On the other hand, the experimental values were recorded as 1.598 for surface roughness and 0.322 for circularity. Therefore, a negligible error of 0.046 for surface roughness and 0.0031 for circularity, respectively, was noted which validate the statistical equations and the consistency of the combined vapor jet drilling process.Entities:
Keywords: DSC analysis; FTIR analysis; L9 Taguchi orthogonal array; SEM analysis; acrylonitrile–butadiene–styrene; additive manufacturing; chemical vapor jet drilling; surface roughness and circularity
Year: 2022 PMID: 35406241 PMCID: PMC9002569 DOI: 10.3390/polym14071367
Source DB: PubMed Journal: Polymers (Basel) ISSN: 2073-4360 Impact factor: 4.329
Figure 1FDM apparatus set-up.
Figure 2Flow chart representing methodology of this research study.
Figure 3(a) Experimental set-up of acetone vapor jet drilling (front view). (b) Experimental set-up (rear view). (c) Nozzle of the experimental set-up to eject vapors on the workpiece.
Description of parts used in experimental set-up.
| S. NO. | Material | Description |
|---|---|---|
| 1 | Compressor | Increases the working pressure to 12 bar. |
| 2 | Pressure gauge | Maintains and regulates the pressure. Maximum pressure is 10 kgF/cm2 or 140 psi. |
| 3 | Inlet pipe | Functions as a pathway for compressed air. |
| 4 | T-joint | For joining of pipes, inlets and outlets. |
| 5 | Mixing chamber | Mixing of vapors and acetone to create homogeneous solution. Mild steel material build and 2.5 L volume. |
| 6 | Flow control valve | Regulates the flow rate of the fluid. Maximum pressure is 10 kgF/cm2 or 140 psi. |
| 7 | Nozzle | It is the outlet for high-pressure spray of liquids. |
| 8 | Outlet pipe | Connects the mixing chamber to nozzle and flow control. |
| 9 | Workpiece | The workpiece stand to hold the job for the experimentation. |
| 10 | Reservoir | Storage unit to collect and recycle extra wasted vapor. About 40% of unused acetone vapor is collected here. |
Figure 4Systematic view of experimental set-up.
Physical, mechanical & thermal properties of ABS.
| Physical Properties | ||
|---|---|---|
| Property | Extruded | Moulded |
| Density (g/cm3) | 0.350–1.26 | 1.02–1.17 |
| Moisture absorption at | 0.150–0.200 | 0.000–0.200 |
| Viscosity (cP) | 155,000–255,000 | 1.16 × 106–1.52 × 106 |
| Linear mould shrinkage | 0.00240–0.0120 | 0.00200–0.00900 |
|
| ||
| Hardness Rockwell R | 90.0–121 | 68.0–115 |
| Tensile strength, ultimate | 27.0–52.0 | 28.0–49.0 |
| Tensile strength, yield (MPa) | 20.0–62.0 | 13.0–65.0 |
| Modulus of elasticity (GPa) | 1.52–6.10 | 1.00–2.65 |
| Elongation at yield (%) | 0.620–30.0 | 1.70–6.00 |
| Flexural modulus (GPa) | 1.20–5.50 | 1.61–5.90 |
| Flexural yield strength (MPa) | 28.3–81.0 | 40.0–111 |
| Charpy impact, notched (J/cm²) | 0.900–5.00 | 0.400–14.0 |
| Izod impact, notched (J/cm) | 0.380–5.87 | 0.100–6.40 |
|
| ||
| Thermal conductivity (W/m-K) | 0.150–0.200 | 0.128–0.200 |
| Coefficient of thermal | 68.0–110 | 0.800–155 |
| Glass transition temperature | 108–109 | 105–109 |
Processing variables and their different levels.
| Processing Parameters | Symbol | Level | ||
|---|---|---|---|---|
| 1 | 2 | 3 | ||
| Pressure (Bars) | A | 3 | 4 | 5 |
| Flow rate (ml/min) | B | 13 | 16 | 19 |
| Stand-off distance (mm) | C | 1.5 | 2.5 | 3.5 |
Values of input variables.
| Condition | Pressure (Bars) | Flow Rate (mL/min) | Stand-off Distance (mm) |
|---|---|---|---|
| A | 3 | 13 | 1.5 |
| B | 3 | 16 | 2.5 |
| C | 3 | 19 | 3.5 |
| D | 4 | 13 | 2.5 |
| E | 4 | 16 | 3.5 |
| F | 4 | 19 | 1.5 |
| G | 5 | 13 | 3.5 |
| H | 5 | 16 | 1.5 |
| I | 5 | 19 | 2.5 |
Figure 5(a–e) Schematic of drilling process in progress.
Surface roughness responses.
| S. No. | Pressure | Flow Rate | Stand-Off Distance | Surface Roughness | SNRA1 |
|---|---|---|---|---|---|
| 1 | 3 | 13 | 1.5 | 2.664 | −8.51068 |
| 2 | 3 | 16 | 2.5 | 1.598 | −4.07154 |
| 3 | 3 | 19 | 3.5 | 2.528 | −8.05554 |
| 4 | 4 | 13 | 2.5 | 2.56 | −8.1648 |
| 5 | 4 | 16 | 3.5 | 2.461 | −7.82223 |
| 6 | 4 | 19 | 1.5 | 4.056 | −12.162 |
| 7 | 5 | 13 | 3.5 | 3.663 | −11.2767 |
| 8 | 5 | 16 | 1.5 | 4.095 | −12.2451 |
| 9 | 5 | 19 | 2.5 | 4.205 | −12.4753 |
Figure 6Main effect plots for SN ratios.
Response table for signal-to-noise ratios. Smaller is better.
| Level | Pressure | Flow Rate | Stand-Off Distance |
|---|---|---|---|
| 1 | −6.879 | −9.317 | −10.973 |
| 2 | −9.383 | −8.046 | −8.237 |
| 3 | −11.999 | −10.898 | −9.052 |
| Delta | 5.120 | 2.851 | 2.735 |
| Rank | 1 | 2 | 3 |
ANOVA results for surface roughness.
| Source | DF | Seq SS | Contribution | Adj SS | Adj MS | F-Value | |
|---|---|---|---|---|---|---|---|
| Pressure | 2 | 4.47992 | 64.79% | 4.47992 | 2.23996 | 1014.73 | 0.001 |
| Flow rate | 2 | 1.23312 | 17.83% | 1.23312 | 0.61656 | 279.31 | 0.004 |
| Stand-off Distance | 2 | 1.19715 | 17.31% | 1.19715 | 0.59858 | 271.16 | 0.004 |
| Error | 2 | 0.00441 | 0.06% | 0.00441 | 0.00221 | ||
| Total | 8 | 6.91462 | 100.00% |
Figure 7Normal probability plots of residuals.
Figure 8Main effect plots for SN ratios.
Circularity responses.
| S. No. | Pressure | Flow Rate | Stand-off Distance | Circularity | SNRA1 |
|---|---|---|---|---|---|
| 1 | 3 | 13 | 1.5 | 0.332 | 9.577238 |
| 2 | 3 | 16 | 2.5 | 0.4951 | 6.106141 |
| 3 | 3 | 19 | 3.5 | 0.3855 | 8.279512 |
| 4 | 4 | 13 | 2.5 | 0.3629 | 8.804261 |
| 5 | 4 | 16 | 3.5 | 0.496 | 6.090366 |
| 6 | 4 | 19 | 1.5 | 0.3598 | 8.878777 |
| 7 | 5 | 13 | 3.5 | 0.4119 | 7.704164 |
| 8 | 5 | 16 | 1.5 | 0.521 | 5.663246 |
| 9 | 5 | 19 | 2.5 | 0.4631 | 6.686504 |
Response table for signal-to-noise ratios. Smaller is better.
| Level | Pressure | Flow Rate | Stand-Off Distance |
|---|---|---|---|
| 1 | 7.988 | 8.695 | 8.040 |
| 2 | 7.924 | 5.953 | 7.199 |
| 3 | 6.685 | 7.948 | 7.358 |
| Delta | 1.303 | 2.742 | 0.841 |
| Rank | 2 | 1 | 3 |
ANOVA results for circularity.
| Source | DF | Seq SS | Contribution | Adj SS | Adj MS | F-Value | |
|---|---|---|---|---|---|---|---|
| Pressure | 2 | 0.007234 | 18.50% | 0.007234 | 0.003617 | 60.95 | 0.016 |
| Flow rate | 2 | 0.029647 | 75.80% | 0.029647 | 0.014824 | 249.80 | 0.004 |
| Stand-off Distance | 2 | 0.002110 | 5.40% | 0.002110 | 0.001055 | 17.78 | 0.053 |
| Error | 2 | 0.000119 | 0.30% | 0.000119 | 0.000059 | ||
| Total | 8 | 0.039110 | 100.00% |
Figure 9Normal probability plot.
Figure 10(a) 20 s, (b) 50 s, and (c) 80 s. Material removal SEM images after treatment with acetone.
Material removal results.
| S. NO. | Duration (s) | Depth (mm) | Material Removal (mm3) |
|---|---|---|---|
| 1 | 20 | 0.27 | 0.2660 |
| 2 | 50 | 1.38 | 2.1548 |
| 3 | 80 | 2.20 | 6.5702 |
Figure 11(a) SEM image with condition A of acetone vapor jet treatment. (b) SEM image with condition B of acetone vapor jet treatment. (c) SEM image with condition F of acetone vapor jet treatment.
Figure 12DSC graphs for different samples (a–d).
ABS sample details for DSC and FTIR.
| Material | Time Duration |
|---|---|
| ABS-A | Unprocessed material for reference |
| ABS-B | Treated for 2 s |
| ABS-C | Treated for 15 s |
| ABS-D | Treated for 25 s |
Optimization of DSC graph.
| Work Piece | Weight (mg) | Tg (°C) | Cp (J/K) | Tm (°C) | Rm (°C) | Rc (°C) |
|---|---|---|---|---|---|---|
| ABS-A | 1.300 | 104 | 0.216 | 128.03 | 98–134 | 256–295 |
| ABS-B | 1.600 | 104 | 0.120 | 238.85 | 102–113 | 132–138 |
| ABS-C | 2.500 | 105 | 0.203 | 227.41 | 104–110 | 110–117 |
| ABS-D | 2.600 | 106 | 0.198 | 239.03 | 237–241 | 107–148 |
Presence of functional group in FTIR analysis.
| SL. No. | Frequency Range (cm−1) | Functional Group |
|---|---|---|
| 1 | 3854 | O–H strectching vibrations |
| 2 | 3587.12 | Phenols |
| 3 | 3373–3422 | Bonded N–H/C–H/O–H |
| 4 | 2918.2–2954 | C–H |
| 5 | 2500–3300 | Carboxyl acid |
| 6 | 2322.8–2138.1 | C–N |
| 7 | 2047.30 | Silicon compounds |
| 8 | 1733.59 | Ketones |
| 9 | 1405–1445 | Alkanes |
| 10 | 1421–1415 | C–O/C–H bending |
| 11 | 1382–1036 | C–O |
| 12 | 1215–1325 | Alkyl ketones |
| 13 | 1020–1220 | Alkyl amines |
| 14 | 1026 | Vibration of C–O in alcohol hydroxyl group |
| 15 | 469 | Alkyl halides |
Figure 13FTIR graphs 9 (a–d).
Bonding table of FTIR.
| W. N. (Wavenumber) (cm−1) | Bonds Present | ABS-A | ABS-B | ABS-C | ABS-D |
|---|---|---|---|---|---|
| 3600–2800 | –OH | 98% | 77% | 80% | 85% |
| 1550–1400 | Aromatic compounds | 92% | 65% | 60% | 65% |
| 1000–600 | C–O | 81% | 42% | 38% | 35% |