Abstract
The focus of this research work is to investigate the dimensional deviations obtained in the Fused Deposition Modelling process using ABS material and to perform optimization studies of 3D printing parameters. Preliminary investigations were carried out to identify the influence of size using different geometrical shapes and observed that small sized features have higher dimensional deviation. Inorder to further proceed with the optimization study, artifact with small sized geometrical features was used. Optimization studies were performed using Grey Taguchi Analysis and Taguchi Methodology considering infill percentage, layer thickness, number of shells, and speed of printing as process parameters. This study reveals that the percentage of infill material and the number of shells have a significant impact on the dimensional deviation of 33.89% and 32.43%, respectively, on 3D printed ABS samples.
Similar content being viewed by others
References
Mohamed OA, Masood SH, Bhowmik JL (2015) Optimization of fused deposition modeling process parameters: a review of current research and future prospects. Adv Manuf 3(1):42–53
Shahrubudin N, Lee TC, Ramlan R (2019) An overview on 3D printing technology: technological, materials, and applications. Proc Manuf 35:1286–1296
Ramu M, Ananthasubramanian M, Kumaresan T et al (2018) Optimization of the configuration of porous bone scaffolds made of polyamide/hydroxyapatite composites using selective laser sintering for tissue engineering applications. Bio Med Mater Eng 29(6):739–755
Additive Manufacturing and Material Market by Technology, by material (plastics, metals, and ceramics), by application, and by geography—analysis and forecast to 2014–2020. https://www.marketsandmarkets.com/Market-Reports/additive-manufacturing-material-market-167268760.html. Accessed 13 May 2021
Sheoran AJ, Kumar H (2020) Fused deposition modeling process parameters optimization and effect on mechanical properties and part quality: review and reflection on present research. Mater Today Proc 21:1659–1672
Agarwal R, Gupta V, Singh J (2022) Additive manufacturing-based design approaches and challenges for orthopaedic bone screws: a state-of-the-art review. J Braz Soc Mech Sci Eng 44:37
Agarwal R (2022) The personal protective equipment fabricated via 3D printing technology during COVID-19. Ann 3D Print Med 5:100042
Agarwal R, Jain V, Gupta V et al (2020) Effect of surface topography on pull-out strength of cortical screw after ultrasonic bone drilling: an in vitro study. J Braz Soc Mech Sci Eng 42:363
Agarwal R, Gupta V, Jain V (2021) A novel technique of harvesting cortical bone grafts during orthopaedic surgeries. J Braz Soc Mech Sci Eng 43:337
Vijayan VJ, Arun A, Bhowmik S et al (2016) Development of lightweight high-performance polymeric composites with functionalized nanotubes. J Appl Polymer Sci 133(21):43471
Kumar GV, Pramod R (2017) Investigation of mechanical properties of aluminium reinforced glass fibre polymer composites. AIP Conf Proc 1859(1):020084
Stansbury JW, Idacavage MJ (2016) 3D printing with polymers: challenges among expanding options and opportunities. Dent Mater 32(1):54–64
Sudin MN, Shamsudin SA, Abdullah MA (2016) Effect of part features on dimensional accuracy of FDM model. APRN J Eng Appl Sci 11(13):8067–8072
Kacmarcik J, Spahic D, Varda K (2018) An investigation of geometrical accuracy of desktop 3D printers using CMM. IOP Conf Ser Mater Sci Eng 393(1):012085
Minetola P, Galati M, Calignano F et al (2020) Comparison of dimensional tolerance grades for metal AM processes. Proc CIRP 88:399–404
Minetola P, Iuliano L, Marchiandi G (2016) Benchmarking of FDM machines through part quality using IT grades. Proc CIRP 41:1027–1032
Minetola P, Calignano F, Galati M (2020) Comparing geometric tolerance capabilities of additive manufacturing systems for polymers. Addit Manuf 32:101103
Moylan S, Slotwinski J, Cooke A et al (2012) Proposal for a standardized test artifact for additive manufacturing machines and processes. In: Proceedings of the 2012 annual international solid freeform fabrication symposium, pp 6–8
Mahesh M, Wong YS, Fuh JYH et al (2004) Benchmarking for comparative evaluation of RP systems and processes. Rapid Prototyp J 10(2):123–135
Mora SM, Gil JC, López AMC (2019) Influence of manufacturing parameters in the dimensional characteristics of ABS parts obtained by FDM using reverse engineering techniques. Proc Manuf 41:968–975
Shahrain M, Didier T, Lim GK et al (2016) Fast deviation simulation for ‘fused deposition modeling process.’ Proc CIRP 43:327–332
Cruz Sanchez FA, Boudaoud H, Muller L et al (2014) Towards a standard experimental protocol for open source additive manufacturing: this paper proposes a benchmarking model for evaluating accuracy performance of 3D printers. Virtual Phys Prototyp 9(3):151–167
Decker N, Yee A (2015) A simplified benchmarking model for the assessment of dimensional accuracy in FDM processes. Int J Rapid Manuf 5(2):145–154
Lieneke T, Denzer V, Adam GA et al (2016) Dimensional tolerances for additive manufacturing: experimental investigation for fused deposition modeling. Proc CIRP 43:286–291
Rupal BS, Mostafa KG, Wang Y et al (2019) A Reverse CAD approach for estimating geometric and mechanical behavior of FDM printed parts. Proc Manuf 34:535–544
Pennington RC, Hoekstra NL, Newcomer JL (2005) Significant factors in the dimensional accuracy of fused deposition modelling. Proc Inst Mech Eng Part E J Process Mech Eng 219(1):89–92
Mago J, Kumar R, Agrawal R, Singh A, Srivastava V (2020) Modeling of linear shrinkage in PLA parts fabricated by 3D printing using TOPSIS method. In: Shunmugam M, Kanthababu M (eds) Advances in additive manufacturing and joining. Lecture notes on multidisciplinary industrial engineering. Springer, Singapore
Murugan R, Mitilesh RN, Singamneni S (2019) Influence of process parameters on the mechanical behaviour and processing time of 3D printing. Int J Mod Manuf Technol 1(1):21–27
Dey A, Yodo N (2019) A systematic survey of FDM process parameter optimization and their influence on part characteristics. J Manuf Mater Process 3(3):64
Nancharaiah TRDRV, Raju DR, Raju VR (2010) An experimental investigation on surface quality and dimensional accuracy of FDM components. Int J Emerg Technol 1(2):106–111
Chung Wang C, Lin T, Hu S (2007) Optimizing the rapid prototyping process by integrating the Taguchi method with the Gray relational analysis. Rapid Prototyp J 13(5):304–315
Sood AK, Ohdar RK, Mahapatra SS (2009) Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. Mater Des 30(10):4243–4252
Zhang JW, Peng AH (2012) Process-parameter optimization for fused deposition modeling based on Taguchi method. Adv Mater Res 538:444–447
Percoco G, Galantucci LM, Lavecchia F (2011) Validation study of an analytical model of FDM accuracy. DAAAM International, Vienna, pp 585–592
Rupal BS, Ramadass K, Qureshi AJ (2020) Investigating the effect of motor micro-stepping on the geometric tolerances of fused filament fabrication printed parts. Proc CIRP 92:9–14
Nuñez PJ, Rivas A, García-Plaza E et al (2015) Dimensional and surface texture characterization in fused deposition modelling (FDM) with ABS plus. Proc Eng 132:856–863
Jozić S, Bajić D, Celent L (2015) Application of compressed cold air cooling: achieving multiple performance characteristics in end milling process. J Clean Prod 100:325–332
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Jayashuriya, M., Gautam, S., Aravinth, A.N. et al. Studies on the effect of part geometry and process parameter on the dimensional deviation of additive manufactured part using ABS material. Prog Addit Manuf 7, 1183–1193 (2022). https://doi.org/10.1007/s40964-022-00292-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s40964-022-00292-9