Intelligent Automated Process Planning and Code Generation for Computer-Controlled Inspection
Abstract
Requirements for greater precision and reduced rejection rates demand improved inspection methods that can be provided by implementing increased automation into the process. This thesis discusses the implementation of an automated intelligent inspection planner and its integration into a feature- based concurrent engineering system. The approach utilizes features as the common language of the individual modules that promote ideas of geometry, functionality, and design intent throughout the system by feature translation among the modules. An artificial neural network optimizes the sequence of inspection points based on inspection rule criteria A collision avoidance algorithm ensures the safety of automated inspection in a computationally efficient manner. The goal of the inspection planner is to output instruction code that will be executed on a computer-controlled coordinate measurement machine (CMM) to properly, efficiently, and safely measure and evaluate the tolerances of the manufactured product. Automated inspection neural networks, Computer aided process, Planning.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1994
- Accession Number
- ADA275346
Entities
People
- Steven M. Ruegsegger
Organizations
- Case Western Reserve University