Process Planning for Robotic Additive Manufacturing

Download or read book Process Planning for Robotic Additive Manufacturing written by Prahar M. Bhatt and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Conventional additive manufacturing has revolutionized the manufacturing industry by building custom parts without any part-specific tooling. It can realize complex geometries which could not be built using any other manufacturing process. However, conventional additive manufacturing has limitations, such as long build times, undesirable mechanical properties, poor surface finish, and material wastage caused by support structures. Robotic additive manufacturing can overcome these limitations by the high flexibility. Robotic additive manufacturing requires several technological advances to overcome the limitations of conventional additive manufacturing. This dissertation makes the following four fundamental advances to enable the use of robots in additive manufacturing: (1) a part placement algorithm to optimize the robot trajectory execution accuracy, (2) a tool-path planning algorithm to fully utilize the tool's flexibility for manufacturing in a computationally efficient manner, (3) a robot trajectory compensation scheme to improve the accuracy of the robotic manipulators, and (4) a robot placement algorithm to enable multi-robot manufacturing and minimize overall manufacturing time. The dissertation demonstrates the fundamental advances using the following four robotic additive manufacturing applications. First, the robot accuracy is improved using the compensation scheme to perform supportless material extrusion additive manufacturing. Second, the tool-path planning flexibility is demonstrated for multi-resolution material extrusion additive manufacturing. Third, the part placement algorithm is used for conformal wire arc additive manufacturing. Finally, the multi-axis wire arc manufacturing deposition rate is increased by designing a multi-robot cell.