Abstract
This chapter presents an overview of various aspects for quantitatively optimizing the fused deposition modelling (FDM) layout process. After initial introductory sections, a case study for utilizing hybrid optimization strategy by combining response surface methodology (RSM) with grey relational analysis (GRA) for optimizing multiple responses to acheive improved cost effectiveness for FDM process is presented. Spatial orientation (SO), air gap (AG), raster angle (RA) and contour width (CW) are taken as process variables. Also, build time (BT), model material volume (MV) and support material volume (SV) are considered as response in present work. Thirty experiments were performed for acrylo butadiene styrene (ABS) P400 on FDM machine for conical-shaped constructive solid geometry (CSG) primitives. Aim of the current case study is establishing a scientific reference for optimizing BT, MV and SV. Process parameter values of 0.654 mm CW, 0.0254 mm AG, 0° RA and 30° SO correspond to optimal process parameters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Srivastava M, Rathee S, Maheshwari S, Kundra TK (2019) Additive manufacturing: fundamentals and advancements. CRC Press, Boca Raton, Florida
Rathee S, Srivastava M, Maheshwari S, Kundra TK, Siddiquee AN (2018) Friction based additive manufacturing technologies: principles for building in solid state, benefits, limitations and applications. CRC Press, Boca Raton, Florida
Tolio T, Ceglarek D, ElMaraghy HA, Fischer A, Hu SJ, Laperrière L, Newman ST, Váncza J (2010) SPECIES—CO-evolution of products, processes and production systems. CIRP Ann 59(2):672–693
Srivastava M (2015) Some studies on layout of generative manufacturing processes for functional components. Delhi University, India
Srivastava M, Maheshwari S, Kundra TK, Rathee S (2016) An integrated rsm-ga based approach for multi response optimization of FDM process parameters for pyramidal ABS primitives. J Manuf Sci Prod. https://doi.org/10.1515/jmsp-2016-0012
Srivastava M, Maheshwari S, Kundra TK, Rathee S, Yashaswi R, Sharma SK (2016) Virtual design, modelling and analysis of functionally graded materials by fused deposition modeling. Mater Today Proc 3(10):3660–3665
Srivastava M, Maheshwari S, Kundra TK, Rathee S, Yashaswi R (2016) Experimental investigation of process parameters for build time estimation in FDM process using RSM technique. In: Mandal DK, Syan CS (eds) CAD/CAM, robotics and factories of the future. Springer, India, pp 229–241
Srivastava M, Maheshwari S, Kundra TK, Yashaswi R, Rathee S (2016) Integration of fuzzy logic with response surface methodology for predicting the effect of process parameters on build time and model material volume in FDM process. In: Mandal DK, Syan CS (eds) CAD/CAM, robotics and factories of the future. Springer, India, pp 195–206
Srivastava M, Maheshwari S, Kundra TK, Rathee S (2017) Estimation of the effect of process parameters on build time and model material volume for FDM process optimization by response surface methodology and grey relational analysis. In: Wimpenny DI, Pandey PM, Kumar LJ (eds) Advances in 3D printing and additive manufacturing technologies. Springer Singapore, Singapore, pp 29–38
Srivastava M, Maheshwari S, Kundra TK, Rathee S (2017) Multi-response optimization of fused deposition modelling process parameters of ABS using response surface methodology (RSM)-based desirability analysis. Mater Today Proc 4(2:1972–1977
Srivastava M, Rathee S (2018) Optimisation of FDM process parameters by Taguchi method for imparting customised properties to components. Virtual Phys Prototy** 13(3):203–210
Srivastava M, Rathee S, Maheshwari S, Kundra TK (2018) Multi-objective optimisation of fused deposition modelling process parameters using RSM and fuzzy logic for build time and support material. Int J Rapid Manuf 7(1):25–42
Srivastava M, Rathee S, Maheshwari S, Kundra TK (2019) Estimating percentage contribution of process parameters towards build time of FDM process for components displaying spatial symmetry: a case study. Int J Mater Prod Technol 58(2–3):201–224
Lin C, Lin J, Ko T (2002) Optimisation of the EDM process based on the orthogonal array with fuzzy logic and grey relational analysis method. Int J Adv Manuf Technol 19(4):271–277
Suresh Kumar B, Baskar N (2013) Integration of fuzzy logic with response surface methodology for thrust force and surface roughness modeling of drilling on titanium alloy. Int J Adv Manuf Technol 65:1501–1514
Tarng YS, Yang WH, Juang SC (2000) The use of fuzzy logic in the Taguchi method for the optimization of the submerged arc welding. Int J Adv Manuf Technol 16:688–694
StatEase (2014) Design Expert, Ed, F.I.T. package
Bharti PS (2012) Optimization of process parameters of electric discharge machining based on neural networks and Taguchi’s method. Guru Gobind Singh Indraprastha University, New Delhi
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Rathee, S., Srivastava, M. (2021). Layout Optimization for FDM Process by Multi-objective Optimization Using RSM and GRA. In: Dave, H.K., Davim, J.P. (eds) Fused Deposition Modeling Based 3D Printing. Materials Forming, Machining and Tribology. Springer, Cham. https://doi.org/10.1007/978-3-030-68024-4_26
Download citation
DOI: https://doi.org/10.1007/978-3-030-68024-4_26
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-68023-7
Online ISBN: 978-3-030-68024-4
eBook Packages: EngineeringEngineering (R0)