Production system geometry assurance using 3D imaging

Paper i proceeding, 2016

Production systems evolve to accommodate new and redesigned products. These changes are planned offline in virtual tools, to reduce disturbances on ongoing production. Offline planning requires virtual models that correctly represent reality. Most models are "as-designed" and suffer from geometrical errors stemming from deployment alterations. Such errors are often discovered late in the next change process or during installation, making corrections expensive. Having geometry assured production systems and models eliminate one source of error during the production system change process. This paper evaluates 3D imaging and the C2M (cloud-to-mesh) algorithm for assessing the validity of virtual production system models.