Abstract
Additive layer or rapid prototyping processes are viable substitutes of conventional manufacturing processes to produce quality parts made of metals and plastics. Same as advanced machining processes, this is an advanced manufacturing process used to manufacture engineered parts and components for various commercial, domestic, and industrial applications. The manufacturing quality of the parts made by these processes is very much dependent on process parameter optimum combinations particular to material and part geometry. This chapter discusses the application, implementation, and effectiveness of multi-criteria decision-making techniques to optimize fused deposition modeling (FDM)-type rapid prototyping process. The results of experimental study-based optimization of FDM process reveal the suitability of fuzzy integrated M-COPRAS technique to optimize parameters for improved strength, dimensional accuracy of FDM made parts and process productivity .
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References
Gibson I, Rosen D, Stucker B (2015) Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing, 2nd edn. Springer Science and Business Media Pvt Ltd, New York
Gupta K, Jain NK, Laubscher RF (2017) Chapter 4: Advances in gear manufacturing. In: Advanced gear manufacturing and finishing-classical and modern processes. Academic Press Inc
Panda SK, Padhee S, Anoop Kumar S, Mahapatra SS (2009) Optimization of fused deposition modeling (FDM) process parameters using bacterial foraging technique. J Intell Info Manag 1:89–97
Mohamed OA, Masood SH, Bhowmik JL (2016) Mathematical modeling and FDM process parameters optimization using response surface methodology based on Q-optimal design. J Appl Math Model 40:10052–10073
Kumar N, Kumar H, Khurmi JS (2016) Experimental Investigation of process parameters for rapid prototyping technique (Selective Laser Sintering) to enhance the part quality of prototype by Taguchi method (vol 23). In: 3rd ICIAME Procedia Technology, pp 352–360
Raju BS, Shekar UC, Venkateswarlu K, Drakashayani DN (2014) Establishment of Process model for rapid prototyping technique (stereolithography) to enhance the part quality by Taguchi method (vol 14). In: 2nd ICIAME 2014 Procedia Technology, pp 380–389
Phatak AM, Pandee SS (2012) Optimum part orientation in rapid prototyping using generic algorithm. J Manuf Syst 31:395–402
Alafaghani A, Qattawi A, Alrawi B, Guzman A (2017) Experimental optimization of fused deposition modelling processing parameters: a design for manufacturing approach (vol 10). In: 45th SME NAMRC conference. Procedia Manufacturing, pp 791–803
Lee BH, Abdullah J, Khan ZA (2005) Optimization of rapid prototyping parameters for production of flexible ABS object‖. J Mater Process Technol 169:54–61
Villalpando L, Eiliat H, Urbanic RJ(2014) An optimization approach for components built by fused deposition modeling with parametric internal structures, product services systems and value creation. In: Proceedings of the 6th CIRP conference on industrial, product-service systems, pp 800–805
Kumar S, Kannan VN, Sankaranarayanan G (2014) Parameter optimization of ABS-M30i parts produced by fused deposition modeling for minimum surface roughness. Int J Curr Eng Technol 3:93–97
Nidagundi VB, Keshavamurthy R, Prakash (2015) CPS studies on parametric optimization for fused deposition modelling process. In: 4th International conference on materials processing and characterization proceedings (vol 2), pp 1691–1699
Anoop Kumar S, Ohdar RK Siba Sankar Mahapatra (2009) Improving dimensional accuracy of fused deposition modelling processed part using grey Taguchi method. In: 4th International conference on materials processing and characterization proceedings, vol 30, issue no 10, pp 4243–4252
Rao PV, Rai DP(2016) Optimization of fused deposition modeling process using teaching learning based algorihm. Int J Eng Sci Technol 587–603
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Bhowmik, S., Jagadish, Gupta, K. (2019). Modeling and Optimization of Rapid Prototyping Process. In: Modeling and Optimization of Advanced Manufacturing Processes. SpringerBriefs in Applied Sciences and Technology(). Springer, Cham. https://doi.org/10.1007/978-3-030-00036-3_5
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DOI: https://doi.org/10.1007/978-3-030-00036-3_5
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