Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method

Yunus Kartal; Sefa Kantık

doi:10.29137/ijerad.1746449

Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method

Abstract

In this study, optimization of manufacturing parameters in FDM method with acrylonitrile styrene acrylate (ASA) polymer was carried out in accordance with Taguchi L16 design. For this purpose, four different layer thicknesses (0.12, 0.16, 0.20, 0.24), four different print speeds (80, 90, 100, 110 mm/s), four different nozzle temperatures (250, 255, 260, 265°C), four different table temperatures (60, 65, 70, 75°C) were used. The effects of manufacturing parameters on mechanical and physical properties were investigated. As a result of the analysis of the tensile strength of the samples, it was determined that the most effective parameter was layer thickness with a contribution rate of 38.41%, followed by table temperature with a contribution rate of 33.48%, print speed with a contribution rate of 17.89% and nozzle temperature with a contribution rate of 3.32%. In the impact strength, it was determined by ANOVA analysis that the most effective production parameter was layer thickness and the reliability rate of the analysis was 94.92%. In addition, it was determined that the most effective parameter in the hardness measured on the surface of the samples was layer thickness and this manufacturing parameter was followed by nozzle temperature, table temperature and print temperature, respectively. In the studies carried out to determine the dimensional accuracy value, which is one of the important criteria in determining the physical properties of the produced samples, it was determined that the most effective parameter in this property was layer thickness and the reliability rate of the analysis was 99.04%

Keywords

Additive manufacturing, Acrylonitrile styrene acrylate, Taguchi L16 optimisation, Mechanical characterisation, Dimensional accuracy

Supporting Institution

This work was supported by Scientific Research Projects Coordination Unit of Kırıkkale University.

Project Number

Project number 2025/117.

Ethical Statement

The study titled " Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process By Taguchi L16 Method " that we have sent to your journal is an original work belonging to us, that we act in accordance with scientific ethical principles and rules in all stages of our study, including preparation, data collection, analysis and presentation of information, and that we refer to all data and information obtained within the scope of this study. , we declare that we include these sources in the bibliography, that we comply with ethical duties and responsibilities by accepting all the terms and conditions of the Committee on Publication Ethics (COPE). At any time, we declare that we accept all moral and legal consequences that will arise in the event of a situation contrary to this statement we made about our work.

Thanks

This work was supported by Scientific Research Projects Coordination Unit of Kırıkkale University. Project number 2025/117.

References

Al-Ghamdi, K.A. (2019). Sustainable FDM additive manufacturing of ABS components with emphasis on energy minimized and time efficient lightweight construction, Int. Journal of Lightweight Materials and Manufacture, 2(4), 338-345. https://doi.org/10.1016/j.ijlmm.2019.05.004
Bhat, C., Jiang, C. P., Shan Romario, Y., Paral, S. K., & Toyserkani, E. (2024). Critical review of metal-ceramic composites fabricated through additive manufacturing for extreme condition applications. Mechanics of Advanced Materials and Structures. https://doi.org/10.1080/15376494.2024.2376337.
Blakey-Milner, B., Gradl, P., Snedden, G., Brooks, M., Pitot, J., Lopez, E., Leary, M., Berto, F., & du Plessis, A. (2021). Metal additive manufacturing in aerospace: A review. Materials & Design, 209, 110008. https://doi.org/10.1016/J.MATDES.2021.110008
Bolat, Ç., Demircan, F., Gür, İ., Yalçın, B., Şener, R., & Ercetin, A. (2025). Hardness and Surface Roughness of 3D-Printed ASA Components Subjected to Acetone Vapor Treatment and Different Production Variables: A Multi-Estimation Work via Machine Learning and Deep Learning. Polymers, 17(21), 2881. https://doi.org/10.3390/polym17212881
Chacon, J.M., Caminero, M.A., Garcia-Plaza, E., Nunez, P.J. (2019). Additive manufacturing of PLA structures using fused deposition modelling: Effect of process parameters on mechanical properties and their optimal selection, Materails & Design, 124, 143-157. https://doi.org/10.1016/j.matdes.2017.03.065
Chen, C., Zhang, Z., Cai, Y., Liu, Y., & Chen, H. (2025). Research and development status of in situ field assisted laser additive manufacturing: A review. Optics & Laser Technology, 181, 111700. https://doi.org/10.1016/J.OPTLASTEC.2024.111700
Ganesh Sarvankar, S., & Yewale, S. N. (2019). Additive Manufacturing in Automobile Industry. 7(4).
Huang, A., & Zhu, Z. H. (2025). An experimental investigation of microgravity conditions on FDM-based in-space polymer additive manufacturing. Acta Astronautica, 228, 886–899. https://doi.org/10.1016/J.ACTAASTRO.2024.12.052
Javaid, M., & Haleem, A. (2018). Additive manufacturing applications in medical cases: A literature based review. Alexandria Journal of Medicine, 54(4), 411–422. https://doi.org/10.1016/J.AJME.2017.09.003
Jerez Mesa, R., Rodriguez Travieso, J.A., Lluma-Fuantes, J., Gomez-Gras, G., Pulg, D. (2017). Fatigue lifespan study of PLA parts obtained by additive manufacturing, Procedia Manufacturing, 13, 872-89. https://doi.org/10.1016/j.promfg.2017.09.146

Hameed, A. Z., Aravind Raj, S., Kandasamy, J., Shahzad, M. A., & Baghdadi, M. A. (2022). 3D Printing Parameter Optimization Using Taguchi Approach to Examine Acrylonitrile Styrene Acrylate (ASA) Mechanical Properties. Polymers, 14(16), 3256. https://doi.org/10.3390/polym14163256
Khorasani, M., Ghasemi, A. H., Rolfe, B., & Gibson, I. (2022). Additive manufacturing a powerful tool for the aerospace industry. Rapid Prototyping Journal, 28(1), 87–100. https://doi.org/10.1108/RPJ-01-2021-0009/FULL/PDF
Ma, Q., Dong, K., Li, F., Jia, Q., Tian, J., Yu, M., & Xiong, Y. (2024). Additive manufacturing of polymer composite millimeter-wave components: Recent progress, novel applications, and challenges. Polymer Composites. https://doi.org/10.1002/PC.28985
Mahatme, C., Giri, J., Mohammad, F., Ali, M. S., Sathish, T., Sunheriya, N., & Chadge, R. (2024). Experimental and numerical investigation of PLA based different lattice topologies and unit cell configurations for additive manufacturing. International Journal of Advanced Manufacturing Technology, 136(1), 159–186. https://doi.org/10.1007/S00170-024-13882-4/METRICS
Mallikarjuna, B., Bhargav, P., Hiremath, S., Jayachristiyan, K. G., & Jayanth, N. (2023). A review on the melt extrusion-based fused deposition modeling (FDM): background, materials, process parameters and military applications. International Journal on Interactive Design and Manufacturing, 19(2), 651–665. https://doi.org/10.1007/S12008-023-01354-0/METRICS
Marco, V., Massimo, G., & Manuela, G. (2024). Additive manufacturing of flexible thermoplastic polyurethane (TPU): enhancing the material elongation through process optimisation. Progress in Additive Manufacturing, 10(4), 2877–2891. https://doi.org/10.1007/S40964-024-00790-Y/TABLES/5
Mazur, J., Sobczak, P., Panasiewicz, M., Łusiak, P., Krajewska, M., Findura, P., Obidziński, S., & Żukiewicz-Sobczak, W. (2025). Mechanical properties and biodegradability of samples obtained by 3D printing using FDM technology from PLA filament with by-products. Scientific Reports, 15(1), 5847. https://doi.org/10.1038/S41598-025-89984-0;KWRD=SCIENCE
Moura, B., & Monteiro, H. (2025). Current development of the metal additive manufacturing sustainability – A systematic review. Environmental Impact Assessment Review, 112, 107778. https://doi.org/10.1016/J.EIAR.2024.107778
Oliviera, A.C.M., Bernalte, E., Crapnell, R.D., Whirringham, M., Munoz, R.A.A., Banks, C.E. (2025). Advances in additive manufacturing for flexible sensors: bespoke conductive TPU for multianalyte detection in biomedical applications, Applied Materials Today, 42, 102597.
Petruse, R.E., Puşcaşu, S., Pascu, A., Bondra, I. (2019). Key factors towards a high-quality additive manufacturing process with ABS material, Materials Today Proceeding, 12(2), 358-366. https://doi.org/10.1016/j.matpr.2019.03.136
Rarani, M.H., Ezati, N., Sadeghi, P., Badrossamay, M.R. (2020). Optimization of FDM process parameters for tensile properties of polylactic acid specimens using Taguchi design of experiment method, Journal of Thermoplastic Composite Materials, 35(12). https://doi.org/10.1177/0892705720964560
Rakshit, R., Kalvettukaran, P., Acharyya, S.K. et al (2023). Development of high specific strength acrylonitrile styrene acrylate (ASA) structure using fused filament fabrication. Prog Addit Manuf 8, 1543–1553. https://doi.org/10.1007/s40964-023-00420-z
Özkül, M., Kuncan, F., & Ulkir, O. (2025). Predicting Mechanical Properties of FDM-Produced Parts Using Machine Learning Approaches. Journal of Applied Polymer Science. https://doi.org/10.1002/APP.56899
Peng, L., Benavidez, E., Mukherjee, S., Morales, R. E., Tringe, J. W., Stobbe, D., & Deng, Y. (2025). In-situ 3D temperature field modeling and characterization using eddy current for metal additive manufacturing process monitoring. Scientific Reports, 15(1), 1–15. https://doi.org/10.1038/S41598-025-94553-6
Saharudin, M. S., Ullah, A., & Younas, M. (2025). Innovative and Sustainable Advances in Polymer Composites for Additive Manufacturing: Processing, Microstructure, and Mechanical Properties. Journal of Manufacturing and Materials Processing 2025, Vol. 9, Page 51, 9(2), 51. https://doi.org/10.3390/JMMP9020051
Saini, M. (2019). Optimization the process parameter of FDM 3D printer using Taguchi method for improving the tensile strength, International Journal of All Research Education and Scientific Methods, 7(4).
Salmi, M. (2021). Additive Manufacturing Processes in Medical Applications. Materials 2021, Vol. 14, Page 191, 14(1), 191. https://doi.org/10.3390/MA14010191
Schulz, N. M., Papadopoulos, L., Hagenlocher, L., Gohla, A., Bikiaris, D. N., & Robert, T. (2025). Wood and olive kernel flour as reinforcement for itaconic acid-based UV-curing additive manufacturing material. Reactive and Functional Polymers, 208, 106161. https://doi.org/10.1016/J.REACTFUNCTPOLYM.2025.106161
Tan, L. J., Zhu, W., & Zhou, K. (2020). Recent Progress on Polymer Materials for Additive Manufacturing. Advanced Functional Materials, 30(43). https://doi.org/10.1002/ADFM.202003062
Vasco, J. C. (2021). Additive manufacturing for the automotive industry. Additive Manufacturing, 505–530. https://doi.org/10.1016/B978-0-12-818411-0.00010-0
Wang, Z.-H. ;, Zhang, Y.-Z. ;, Miao, W.-J. ;, Wu, F.-B. ;, Wang, S.-Q. ;, Ouyang, J.-H. ;, Wang, Y.-M. ;, Zou, Y.-C., Wang, Z.-H., Zhang, Y.-Z., Miao, W.-J., Wu, F.-B., Wang, S.-Q., Ouyang, J.-H., Wang, Y.-M., & Zou, Y.-C. (2025). Vat Photopolymerization-Based Additive Manufacturing of Si3N4 Ceramic Structures: Printing Optimization, Debinding/Sintering, and Applications. Materials 2025, Vol. 18, Page 1556, 18(7), 1556. https://doi.org/10.3390/MA18071556
Wankhede, V., Jagetiya, D., Joshi, A., Chaudhari, R. (2020). Experimental investigation of FDM process parameters using Taguchi analysis, Materials Today Proceedings, 27(3), 211-220. https://doi.org/10.1016/j.matpr.2019.09.078
Xu, T., Shen, W., Lin, X., & Xie, Y. M. (2020). Mechanical Properties of Additively Manufactured Thermoplastic Polyurethane (TPU) Material Affected by Various Processing Parameters. Polymers, 12(12), 3010. https://doi.org/10.3390/polym12123010
Zimmermann, P., Schammel, C., & Nagel, J. (2024). Additive Manufacturing of Watertight ABS Parts and Its Use for Chemical Metal Plating. Macromolecular Materials and Engineering, 310(4), 2400367. https://doi.org/10.1002/MAME.202400367

Details

Primary Language

English

Subjects

Optimization Techniques in Mechanical Engineering

Journal Section

Research Article

Authors

Yunus Kartal ^*
0000-0002-5102-7655
Türkiye

Sefa Kantık
0009-0000-8300-4098
Türkiye

Publication Date

January 31, 2026

Submission Date

July 19, 2025

Acceptance Date

January 16, 2026

Published in Issue

Year 2026 Volume: 18 Number: 1

DOI

https://doi.org/10.29137/ijerad.1746449

IZ

https://izlik.org/JA89MA47CR

APA

Kartal, Y., & Kantık, S. (2026). Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method. International Journal of Engineering Research and Development, 18(1), 1-11. https://doi.org/10.29137/ijerad.1746449

AMA

1.Kartal Y, Kantık S. Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method. IJERAD. 2026;18(1):1-11. doi:10.29137/ijerad.1746449

Chicago

Kartal, Yunus, and Sefa Kantık. 2026. “Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method”. International Journal of Engineering Research and Development 18 (1): 1-11. https://doi.org/10.29137/ijerad.1746449.

EndNote

Kartal Y, Kantık S (January 1, 2026) Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method. International Journal of Engineering Research and Development 18 1 1–11.

IEEE

[1]Y. Kartal and S. Kantık, “Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method”, IJERAD, vol. 18, no. 1, pp. 1–11, Jan. 2026, doi: 10.29137/ijerad.1746449.

ISNAD

Kartal, Yunus - Kantık, Sefa. “Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method”. International Journal of Engineering Research and Development 18/1 (January 1, 2026): 1-11. https://doi.org/10.29137/ijerad.1746449.

JAMA

1.Kartal Y, Kantık S. Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method. IJERAD. 2026;18:1–11.

MLA

Kartal, Yunus, and Sefa Kantık. “Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method”. International Journal of Engineering Research and Development, vol. 18, no. 1, Jan. 2026, pp. 1-11, doi:10.29137/ijerad.1746449.

Vancouver

1.Yunus Kartal, Sefa Kantık. Optimisation of Production Parameters of ASA Based Materials in Additive Manufacturing Process by Taguchi L16 Method. IJERAD. 2026 Jan. 1;18(1):1-11. doi:10.29137/ijerad.1746449

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https://doi.org/10.35414/akufemubid.1882492

Kırıkkale University, Faculty of Engineering and Natural Science, 71450 Yahşihan / Kırıkkale, Türkiye.

ijerad@kku.edu.tr