Recently, industrial manufacturing has developed into additive manufacturing, benefiting from multi-item small-sized production and effective manufacturing. Importantly, Wire Arc Additive Manufacturing, which uses metal wires, is attracting worldwide attention for its high-quality metal product technology. Technological innovation that combines virtual physics with reality through big data communication, such as process variables along with Wire Arc Additive Manufacturing, is an essential task for implementing smart manufacturing technology. Due to the characteristic of Wire Arc Additive Manufacturing, numerous variable conditions exist, making it difficult to standardize robot"s process path data generation algorithms and data application methods, and this data generation method is being studied as a core element technology. The present study generated foundation process implementation, simulation, and generated path data for robots in virtual space using RoboDK, which provides robot libraries from multiple manufacturers, and Python, which is a universal programming language. To implement the experimental data in practice, ABB"s industrial six-axis robots IRB-6700 and Fronius TPS500i were used to control the arcing plasma heat source, and the process path worked the same as simulation. Based on the underlying experimental results, this process can be applied to generation of additive manufacturing in the Wire Arc Additive Manufacturing process for 3D models.
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Artificial Intelligence Technologies and Applications in Additive Manufacturing Selim Ahamed Shah, In Hwan Lee, Hochan Kim International Journal of Precision Engineering and Manufacturing.2025; 26(9): 2463. CrossRef
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Along with the recent spread of 3D printing technology, researchers have developed various materials and equipment, now widely disseminated among individuals and industries. However, most of the current metal 3D printers generate the cutting paths using cutting software only, which doesn’t consider heat input of the plasma or laser. In the wire arc additive manufacturing (WAAM) system, a projection algorithm is created through the CATIA application programming interface. Different from the existing cutting algorithm, this algorithm converts a two-dimensional (2D) image into a three-dimensional (3D) structure by orthogonal projection and a voxel algorithm that expresses a 3D finite volume element. To fix the (x, y) coordinates and the z (Height) coordinate to be on the 2D plane, the projection algorithm models the 3D geometry orthogonal to the 2D plane. The bead modeling data and the step-over values generating the laminate shape were determined. The core of the voxel algorithm that models the free-shape lamination obtains the point location of the wire arc, considering the bead size and the distance between the layer spacing and the voxel center point (According to the processing conditions). Finally, the correct projection and voxel algorithms are selected using a lamination path-acquisition strategy.
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