FEM-based neural network modeling of laser-assisted bending

Dixit US, Joshi SN, Kumar VH (2012) Microbending with laser. In: Jain VK (ed) Micromanufacturing processes. CRC Press, Boca Raton, pp 283–303 Eideh A, Dixit US, Echempati R (2015) A simple analytical model of laser bending process. In: Joshi SN, Dixit US (eds) Lasers based manufacturing: 5th international and 26th all India manufacturing technology, design and research conference, AIMTDR 2014. Springer, New Delhi, pp 1–15 Lambiase F, Di Ilio A, Paoletti A (2015) Optimization of multi-pass laser bending by means of soft computing techniques. Procedia CIRP 33:503–508 Edwardson SP, Abed E, Carey C, Edwards KR, Dearden G, Watkins KG(2007) Factors influencing the bend per pass in multi-pass laser forming. In: Geiger M, Otto A, Schimidt M (eds) Laser assisted net shape engineering 5, proceedings of LANE 2007, pp 557–568 Kratky A (2007) Laser assisted forming techniques. In: Schuöcker D (eds) XVI international symposium on gas flow, chemical lasers, and high-power lasers, Gmunden, Austria, September 4, 2007. Proceedings of the SPIE, vol 6346, article id. 634615 Dearden G, Edwardson SP (2003) Some recent developments in two-and three-dimensional laser forming for ‘macro’ and ‘micro’ applications. J Opt A: Pure Appl Opt 5(4):S8 Roohi AH, Gollo MH, Naeini HM (2012) External force-assisted laser forming process for gaining high bending angles. J Manuf Process 14(3):269–276 Bammer F, Schuöcker D, Schumi T, Holzinger B, Humenberger G (2011) A diode-laser-system for laser-assisted bending of brittle materials. Adv Opt Technol Article ID 321807 Dixit US, Joshi SN, Kant R (2015) Laser forming systems: a review. Int J Mechatron Manuf Syst 8(3–4):160–205 Samm K, Terzi M, Ostendorf A, Wulfsberg J (2009) Laser-assisted micro-forming process with miniaturised structures in sapphire dies. Appl Surf Sci 255(24):9830–9834 Kant R, Joshi SN (2013) Finite element simulation of laser assisted bending with moving mechanical load. Int J Mechatron Manuf Syst 6(4):351–366 Yanjin G, Sheng S, Guoqun Z, Yiguo L (2003) Finite element modeling of laser bending of pre-loaded sheet metals. J Mater Process Technol 142(2):400–407 Gisario A, Barletta M, Conti C, Guarino S (2011) Springback control in sheet metal bending by laser-assisted bending: experimental analysis, empirical and neural network modeling. Opt Lasers Eng 49(12):372–1383 Fetene BN, Dixit US (2015) A finite element analysis of laser assisted mechanical bending of aluminum alloy sheets along with inverse determination of input parameters. In: National Conference on emerging technologies’ contribution in promoting defense and industry (NCETCPDIC). Defense University, College of Engineering, Bishoftu, Ethiopia, pp 173 − 178 Dragos V, Dan V, Kovacevic R (2000) Prediction of the laser sheet bending using neural network. In: IEEE international symposium on circuits and systems May 28–31, Geneva, pp III-686–III-689 Cheng PJ, Lin SC (2000) Using neural networks to predict bending angle of sheet metal formed by laser. Int J Mach Tools Manuf 40(8):1185–1197 Casalino G, Ludovico AD (2002) Parameter selection by an artificial neural network for a laser bending process. Proc Inst Mech Eng Part B J Eng Manuf 216(11):1517–1520 Barletta M, Gisario A, Guarino S (2009) Hybrid forming process of AA 6108 T4 thin sheets: modeling by neural network solutions. Proc Inst Mech Eng Part B J Eng Manuf 223(5):535–545 Maji K, Pratihar DK, Nath AK (2013) Analysis and synthesis of laser forming process using neural networks and neuro-fuzzy inference system. Soft Comput 17(5):849–865 Maji K, Pratihar DK, Nath AK (2014) Laser forming of a dome shaped surface: experimental investigations, statistical analysis and neural network modeling. Opt Lasers Eng 53(2014):31–42 Maji K, Pratihar DK, Nath AK (2014) Analysis of pulsed laser bending of sheet metal using neural networks and neuro-fuzzy system. Proc Inst Mech Eng Part B J Eng Manuf 0954405414522212 Pérez JA, González M, Dopico D (2010) Adaptive neurofuzzy ANFIS modeling of laser surface treatments. Neural Comput Appl 19(1):85–90. doi:10.1007/s00521-009-0259-x Kohli A, Dixit US (2005) A neural network based methodology for the prediction of surface roughness in a turning process. Int J Adv Manuf Technol 25(1):118–129 Kant R, Joshi SN, Dixit US (2015) An integrated FEM-ANN model for laser bending process with inverse Estimation of absorptivity. Mech Adv Mater Modern Process. 1, Article 6 Sarma DK, Dixit US (2007) A comparison of dry and air-cooled turning of grey cast iron with mixed oxide ceramic tool. J Mater Process Technol 190(1):160–172 Garg A, Sastry PS, Pandey M, Dixit US, Gupta SK (2007) Numerical simulation and artificial neural network modeling of natural circulation boiling water reactor. Nucl Eng Des 237(3):230–239 Sonar DK, Dixit US, Ojha DK (2006) The application of a radial basis function neural network for predicting the surface roughness in a turning process. Int J Adv Manuf Technol 27(7–8):661–666 Singh K, Ray AK, Joshi SN, Dixit US(2013) Effect of lime and graphite grease coatings on the absorptivity of mild steel sheet in line heating by CO2 laser. In: Proceedings of national conference on recent advancements in mechanical engineering, 8–9 November, NERIST, Nirjuli, India Chen G, Xu X, Poon CC, Tam AC (1999) Experimental and numerical studies on microscale bending of stainless steel with pulsed laser. J Appl Mech 66(3):772–779 Zhang L, Reutzel EW, Michaleris P (2004) Finite element modeling discretization requirements for the laser forming process. Int J Mech Sci 46(4):623–637 Dieter GE (1991) Engineering design: a materialistic and processing approach, 2nd edn. McGraw-Hill, New York Lawrence M, Petterson A (2002) Brain maker user’s manual, 7th edn. California Scientific Software, Nevada City Risbood KA, Dixit US, Sahasrabudhe AD (2003) Prediction of surface roughness and dimensional deviation by measuring cutting forces and vibrations in turning process. J Mater Process Technol 132(1):203–214