As promising technology with low requirements and high depositing efficiency, Wire Arc Additive Manufacturing (WAAM) can significantly reduce the repair cost and improve the formation quality of molds. To further improve the accuracy of WAAM in repairing molds, the point cloud model that expresses the spatial distribution and surface characteristics of the mold is proposed. Since the mold has a large size, it is necessary to be scanned multiple times, resulting in multiple point cloud models. The point cloud registration, such as the Iterative Closest Point (ICP) algorithm, then plays the role of merging multiple point cloud models to reconstruct a complete data model. However, using the ICP algorithm to merge large point clouds with a low-overlap area is inefficient, time-consuming, and unsatisfactory. Therefore, this paper provides the improved Offset Iterative Closest Point (OICP) algorithm, which is an online fast registration algorithm suitable for intelligent WAAM mold repair tec
our knowledge. 3d reconstruction shows us how the shoulder moves. i think it s going to redefine how we treat shoulder problems. last year it was about 200 tiny sticker dots they would put all over their shoulder and sort of the map it out. but this year they ve really kind of got it down. he has tackled a problem we have wrestled with the last 100 years. a lot of things you try, a lot of approaches and strategies, you don t get the outcomes you re hoping for. persistence probably pays off in just about every field, but definitely biomechanics. mr. richards is definitely the best i ve gotten to work with. he just wants to share every knowledge he has. the stage of this research is still very young, but the data has yielded some very, very valuable information. one of the things i appreciate most about shriners is their willingness to do research and work with other