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Observational analysis reveals optimal machine parameters enhance build quality in wire arc additive manufacturing, indicating design refinement potential.
Wire arc additive manufacturing (AM) has garnered attention in recent research, yet a comprehensive set of "best practices" for design remains notably absent in the literature. This research initiative, conducted at Mississippi State University and funded through the US Army Corp of Engineers Engineering Research and Development Center, sought to address this gap by exploring the Wire arc AM process's intricacies. Focusing on the inter-relationships between machine parameters, geometric outcomes, and overall build quality, our team utilized ES 120S-G steel to print six distinct geometric shapes. These shapes, including a single thin wall, cylinder, S-wall, rectangular block, ramp, and block figure 8, were chosen for their simplicity in programming the Wire arc AM robot and their coverage of essential geometric variables such as overall weld bead thickness, sharpness of corners, edge smoothness, straightness, and concentricity. By employing various machine parameters, our study aimed to uncover insights that contribute to the identification of overarching design rules or "best practices" for Wire arc AM. In this paper, we delve into the lessons learned from these six simple builds, showcasing the iterative process of refining machine parameters and extracting knowledge from each geometric shape. Our goal is to advance the understanding of ER 120S-G steel behavior during Wire arc welding, ultimately establishing guidelines for optimizing machine parameters. Beyond contributing to the ongoing refinement of Wire arc AM processes, these findings set the groundwork for informed design considerations, thereby fostering advancements in additive manufacturing and elevating the overall quality of Wire arc AM designs.
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Wall et al. (2024) studied this question.
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