Abstract
FDM is the world's most widely used and certified additive manufacturing technology because of its simplicity of use and production flexibility compared to other additive manufacturing techniques. Several input process variables impact the surface quality of manufactured components. The present study investigated the effect of print speed, acceleration, and jerk on the surface roughness of FDM-fabricated parts. The surface roughness of PLA-fabricated items is minimized by optimizing all three input parameters. To investigate the effect of input variables on surface roughness, a total of 20 test specimens were developed and fabricated using a face-centered central composite design technique. The surface roughness has been measured on the lateral sides of components in two directions (along the x-axes and y-axes). Further, the hybrid genetic algorithms-artificial neural networks (GA-ANN) heuristic optimization tool, in which GA is integrated with ANN, is employed to find the best feasible combination of input variables. It is observed that the surface roughness obtained for the x-axis direction is 0.0551512 μm at (speed: 20 mm/s; acceleration: 1137 mm/s2; jerk: 29.36 mm/s) and for the y-axis direction is 11.8919 μm at (speed: 98.60 mm/s; acceleration: 988.35 mm/s2; jerk: 16.508 mm/s). The optimized values are validated experimentally.
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The author duly acknowledges Deenbandhu Chhotu Ram University of Science and Technology, for giving access to surface roughness testing facilities.
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Yadav, K., Rohilla, S., Ali, A. et al. Effect of Speed, Acceleration, and Jerk on Surface Roughness of FDM-Fabricated Parts. J. of Materi Eng and Perform (2023). https://doi.org/10.1007/s11665-023-08476-2
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DOI: https://doi.org/10.1007/s11665-023-08476-2