journal article·2026-02

Addressing Critical Challenges Encountered during Extrusion-Based ASA Additive Manufacturing: A Process Optimization Approach

Deepak Bhardwaj, Imran Siraj, Aryender Singh, Dinesh Deshwal, Ashish Kaushik, Girish Bhiogade, Sumit Gahletia

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OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization · Additive Manufacturing Materials and Processes

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References (34)

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1. N. Vaidya, S. Awachar, and H.S. Nagi. Use of Additive Manufacturing in Product Design & Development. No. 2023-01-0892. 2023.10.4271/2023-01-0892 ↗
2. S. Ranganathan, and C. Pradeep, The Effect of Print Orientation and Infill Density for 3D Printing on Mechanical and Tribological Properties (No. 2020-28-0411). SAE Technical Paper (2020).10.4271/2020-28-0411 ↗
3. J. Garcia, R. Harper, C. Bradley, J. Schmidt, and Y.C. Lu, Anisotropic Material Behavior and Design Optimization of 3D Printed Structures. No. 2020-01-0228. SAE Technical Paper, (2020).10.4271/2020-01-0228 ↗
4. A. Sharma, D. Chhabra, R. Sahdev, A. Kaushik, and U. Punia, Investigation of Wear Rate of FDM Printed TPU, ASA and Multi-Material Parts Using Heuristic GANN Tool, Mater. Today Proc., 2022, 63, p 559–565.10.1016/j.matpr.2022.04.015 ↗
5. D. Chhabra, S. Deswal, A. Kaushik, R.K. Garg, A. Kovács, R. Khargotra, and T. Singh, Analysis of Fused Filament Fabrication Parameters for Sliding Wear Performance of Carbon Reinforced Polyamide Composite Material Fabricated Parts Using a Hybrid Heuristic Tool, Polym. Test., 2023, 118, 107910.10.1016/j.polymertesting.2022.107910 ↗
6. S. Gahletia, A. Kaushik, R.K. Garg, D. Chhabra, A. Kovács, R. Khargotra, and T. Singh, Fabrication and Analysis of Micro Carbon Fiber Filled Nylon Filament Reinforced with Kevlar, Fiberglass, and HSHT Fiberglass Using Dual Extrusion System, Mater. Today Commun., 2023 https://doi.org/10.1016/j.mtcomm.2023.10607510.1016/j.mtcomm.2023.106075 ↗
7. M. Yadav, A. Kaushik, R. Kumar Garg, M. Yadav, D. Chhabra, S. Rohilla, and H. Sharma, Enhancing Dimensional Accuracy of Small Parts Through Modelling and Parametric Optimization of the FDM 3D Printing Process Using GA-ANN. In 2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO), (IEEE, 2022), pp. 89–9410.1109/ICCMSO58359.2022.00030 ↗
8. M. Srivastava and S. Rathee, Optimisation of FDM Process Parameters by Taguchi Method for Imparting Customised Properties to Components, Virtual Phys. Prototyping, 2018, 13(3), p 203–210.10.1080/17452759.2018.1440722 ↗
9. F.F. Yildirim, A.S. Hicyilmaz, and K. Yildirim, The Effects of the Weathering Methods on the Properties of the ABS, ASA and PMMA Polymers, Polym. Test., 2022, 107, 107484.10.1016/j.polymertesting.2022.107484 ↗
10. D. Yadav, D. Chhabra, R.K. Gupta, A. Phogat, and A. Ahlawat, Modeling and Analysis of Significant Process Parameters of FDM 3D Printer Using ANFIS, Mater. Today Proc., 2020, 21, p 1592–1604.10.1016/j.matpr.2019.11.227 ↗
11. S.K. Gawali and P.K. Jain, Effect of Natural Aging on Mechanical Properties of 3D-Printed Acrylonitrile Styrene Acrylate for Outdoor Applications, J. Mater. Eng. Perform., 2024 https://doi.org/10.1007/s11665-024-10273-410.1007/s11665-024-10273-4 ↗
12. I. Solomon, P. John, P. Sevvel, and J. Gunasekaran, A Review on the Various Processing Parameters in FDM, Mater. Today Proc., 2021, 37, p 509–514.10.1016/j.matpr.2020.05.484 ↗
13. S. Kumar, S. Raam, R. Sridhar, R. Venkatraman, and M. Venkatesan, Polymer Additive Manufacturing of ASA Structure: Influence of Printing Parameters on Mechanical Properties, Mater. Today Proc., 2021, 39, p 1316–1319.10.1016/j.matpr.2020.04.500 ↗
14. P.J. Nuñez, A. Rivas, E. García-Plaza, E. Beamud, and A. Sanz-Lobera, Dimensional and Surface Texture Characterization in Fused Deposition Modelling (FDM) with ABS Plus, Procedia Eng., 2015, 132, p 856–863.10.1016/j.proeng.2015.12.570 ↗
15. M. Vishwas and C.K. Basavaraj, Studies on Optimizing Process Parameters of Fused Deposition Modelling Technology for ABS, Mater. Today Proc., 2017, 4(10), p 10994–11003.10.1016/j.matpr.2017.08.057 ↗
16. J. Lluch-Cerezo, R. Benavente, M.-D. Meseguer, and S.C. Gutiérrez, Study of Samples Geometry to Analyze Mechanical Properties in Fused Deposition Modeling Process (FDM), Procedia Manuf., 2019, 41, p 890–897.10.1016/j.promfg.2019.10.012 ↗
17. A. Qattawi, Investigating the Effect of Fused Deposition Modeling Processing Parameters Using Taguchi Design of Experiment Method, J. Manuf. Process., 2018, 36, p 164–174.10.1016/j.jmapro.2018.09.025 ↗
18. C. Camposeco-Negrete, Optimization of Printing Parameters in Fused Deposition Modeling for Improving Part Quality and Process Sustainability, Int. J. Adv. Manuf. Technol., 2020, 108, p 2131–2147.10.1007/s00170-020-05555-9 ↗
19. M. El, S.-E.O. Anouar, and S. Vaudreuil, Effects of Printing Parameters on the Tensile Behavior of 3D-Printed Acrylonitrile Styrene Acrylate (ASA) Material in Z Direction, Polym. Eng. Sci., 2022, 62(3), p 848–860.10.1002/pen.25891 ↗
20. S. Guessasma, S. Belhabib, and H. Nouri, Microstructure, Thermal and Mechanical Behavior of 3D Printed Acrylonitrile Styrene Acrylate, Macromol. Mater. Eng., 2019, 304(7), p 1800793.10.1002/mame.201800793 ↗
21. M. Samykano, S.K. Selvamani, K. Kadirgama, W.K. Ngui, G. Kanagaraj, and K. Sudhakar, Mechanical Property of FDM Printed ABS: Influence of Printing Parameters, Int. J. Adv. Manuf. Technol., 2019, 102(9), p 2779–2796.10.1007/s00170-019-03313-0 ↗
22. M. Ramasamy, E.S. Moorthy, A. Balasubramanian, P.K.S. Kumaran, M.B.N. Baig, S. Alagappan, and M. Moorthy, Effect of Process Parameters on Tensile Strength and Surface Quality of PLA-ABS Part Produced by Fused Deposition Modeling. (2021)
23. S. Rossi, A. Puglisi, and M. Benaglia, Additive Manufacturing Technologies: 3D Printing in Organic Synthesis, ChemCatChem, 2018, 10(7), p 1512–1525.10.1002/cctc.201701619 ↗
24. H. Klippstein, A.D. De Cerio Sanchez, H. Hassanin, Y. Zweiri, and L. Seneviratne, Fused Deposition Modeling for Unmanned Aerial Vehicles (UAVs): A Review. Adv. Eng. Mater. 2018, 20(2), p 1700552.10.1002/adem.201700552 ↗
25. G.S. Sandhu, K.S. Boparai, and K.S. Sandhu, Influence of Slicing Parameters on Selected Mechanical Properties of Fused Deposition Modeling Prints, Mater. Today Proc., 2022, 48, p 1378–1382.10.1016/j.matpr.2021.09.118 ↗
26. L. Berrocal, R. Fernández, S. González, A. Periñán, S. Tudela, J. Vilanova, L. Rubio, J.M. Martín Márquez, J. Guerrero, and F. Lasagni, Topology Optimization and Additive Manufacturing for Aerospace Components, Prog. Addit. Manuf., 2019, 4, p 83–95.10.1007/s40964-018-0061-3 ↗
27. P. Sharma and B.B. Sahoo, An ANFIS-RSM Based Modeling and Multi-Objective Optimization of Syngas Powered Dual-Fuel Engine, Int. J. Hydrogen Energy, 2022, 47(44), p 19298–19318.10.1016/j.ijhydene.2022.04.093 ↗
28. K. Kalita, P. Dey, and S. Haldar, Search for Accurate RSM Metamodels for Structural Engineering, J. Reinf. Plast. Compos., 2019, 38(21–22), p 995–1013.10.1177/0731684419862346 ↗
29. P. Sharma and A.K. Sharma, Application of Response Surface Methodology for Optimization of Fuel Injection Parameters of a Dual Fuel Engine Fuelled with Producer Gas-Biodiesel Blends, Energy Sour. Part A Recover. Util. Environ. Eff., 2021 https://doi.org/10.1080/15567036.2021.189288310.1080/15567036.2021.1892883 ↗
30. P. Sharma, Prediction-Optimization of the Effects of Di-Tert Butyl Peroxide-Biodiesel Blends on Engine Performance and Emissions Using Multi-Objective Response Surface Methodology, J. Energy Resour. Technol., 2022 https://doi.org/10.1115/1.405223710.1115/1.4052237 ↗
31. V. Attri and A.K. Sharma, Modelling and Optimization of Gasification Parameters of Downdraft Gasifier—An RSM Approach, Biomass Conv. Bioref., 2024 https://doi.org/10.1007/s13399-024-05368-w10.1007/s13399-024-05368-w ↗
32. S.M.A. Rahman, P. Sharma, and Z. Said, Application of Response Surface Methodology Based D-optimal Design for Modeling and Optimisation of Osmotic Dehydration of Zucchini, Digit. Chem. Eng., 2022, 4, 100039.10.1016/j.dche.2022.100039 ↗
33. L. Kumar, K. Kumar, and D. Chhabra, Experimental Investigations of Electrical Discharge Micro-Drilling for Mg-Alloy and Multi-Response Optimization Using MOGA-ANN, CIRP J. Manuf. Sci. Technol., 2022, 38, p 774–786.10.1016/j.cirpj.2022.06.014 ↗
34. A. Kaushik, R.K. Garg, R.S. Saini, F. Bennardo, and A. Heboyan, Evaluating the Effect of Printing Parameters on the Performance of Resin Occlusal Splints for a Sustainable Dentistry, J. Appl. Biomater. Funct. Mater., 2025, 23, p 22808000251333700.