Precision Factors in Modelling of Relief Patterns on Thin Aluminum Plates: Learning from making process

Surface coordinates on thin metal sheets constantly change during the engraving, and the digital model is not truly compatible with the physical engraving process because of the ignorance of the relationship between the hand movements with the tooltip and material in digital fabrication. Hence, this research creates experiments to learn from the physicality of the making process for precision factors in modeling reliefpatterns on thin aluminum plates. It questions the identification and elimination of precision problems of material and behavior in the production process of relief with a robotic arm. It aims to determine the relationships among materials, tools, and geometry in robotic manufacturing. UArm Swift Pro as a tool performs the task concerning speed, the surface of the tooltip, material thickness, drawing, and engraving modes. Created 3D geometries on aluminum surfaces are compared according to the change in distance between initial and target points, curvature, and radius of the target geometry.