公开(公告)号：US20230158595A1

公开(公告)日：2023-05-25

申请号：US17992258

申请日：2022-11-22

Applicant: University of Southern California

Inventor： Qiang Sean HUANG ,  Cesar Alexander RUIZ TORRES

IPC: B23K9/04 ,  B23K9/12

CPC classification number: B23K9/042 ,  B23K9/124 ,  B33Y10/00

Abstract: A generalized additive modeling approach to separate global geometric shape deformation from surface roughness is provided. Under this statistical framework, tensor product basis expansion is adopted to learn both the low-order shape deformation and high-order roughness patterns. The established predictive model enables the optimal geometric compensation for product redesign to reduce shape deformation from the target geometry without altering process parameters. Experimental validation on WAAM manufactured cylindrical walls of various radi shows the effectiveness of the proposed framework.