A New Method for Inferencing and Representing a Workpiece Residual Stress Field Using Monitored Deformation Force Data

The residual stress inside stock materials is a fundamental property related to the quality of manufactured parts in terms geometric/dimensional stability and fatigue life. For large that must meet high-precision requirements, accurately measuring predicting field has been major challenge. Existing technologies for are either strain-based measurement methods or non-destructive with low efficiency accuracy. This paper reports new method inferencing based on deformation forces. In proposed method, workpiece inferred characteristics forces reflect overall effect unbalanced after material removal operations. relationship between modeled principle virtual work, inference problem solved using an enforced regularization method. Theoretical verification presented actual experiment cases tested, showing reliable accuracy flexibility aviation structural parts. underlying provides important reference compensating caused by dynamic machining monitoring data context digital intelligent manufacturing.