In this investigative study, the Taguchi design (L9) of experiments with TOPSIS multi-objective optimization is used for the robot nanopainting. The optimization objective is to maximize the film glue individually and minimize the surface blemishes and film thickness by varying the IRB 1410 robot painting parameters, such as the robot speed, pressure, and distance. The multi-wall carbon nanotube is infused into the paint materials using the ultrasonication process, and the mechanical properties are analysed with a comparison to regular paint materials. The virtual robot cycle time analysis is carried out for three different robot pathway patterns, namely linear, zig-zag, and circular. It is then compared with real-time experimental robot nanopaint on cold rolled close annealing steel materials. The obtained results show that surface roughness and thickness are minimized by 54% and 33.4%, respectively, using the robot nano spray coating when compared with regular spray coating. The film adhesive of robot Nano spray coating is maximized by 2.8% more than normal spray coating. A fuzzy logic expert system model is used to evaluate the surface finish characteristics of the nanopaint surface with low prediction error and with 89.2% confidence level. Heat transfer analysis of the robot nano-coated substrate is compared with that of the robot normal-coated substrate.
In this investigative research work, the surface characteristics of normal paint and multiwall carbon nanotube (MWCNT) paint-coated substrates are studied. The experiments are conducted using ABB IRB 1410 Robot and the end effector of the robot is retrofitted with a high-volume low-pressure atomizer paint spray gun. The nanopaint is prepared by ultrasonication by placing 1 gram of MWCNT in a polyurethane commercial base paint (500 ml). Taguchi design of experiments is used to identify the most efficient use of procedure parameters using the L9 orthogonal array table. Heat transfer of the substrate is found by temperature measurements of the convective heat transfer through extended surfaces. Surface morphology is studied by scanning electron microscope and upright microscopy. Analysis of variance technique is used to find the most influencing input parameters and contribution of values to maximizing surface finish and minimizing the heat transfer effect. The study shows that there is an enhancement in surface finish and minimization of heat transfer in the nanopaint coated substrate when compared with normal paint application using the ABB robot.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.