Abstract
In manufacturing companies, computer-aided design (CAD)/computer-aided manufacturing (CAM) feature-based approaches have been developed for faster numerical control (NC) programming. They allow to automatically generate toolpath, recognizing both standard and custom machining features, and defining for each of them the best or preferred machining process based on predefined rules. The definition of Feature Based Manufacturing (FBM) rules requires advanced competences and skills; furthermore, the standardization required by these instruments is too rigorous for real machining practices. It is therefore necessary to extend the Product Lifecycle Management (PLM) environment in order to be able to make explicit and manage manufacturing rules based on industrial best practice. The paper addresses these problems presenting a possible solution to optimize FBM information management and integration within the product lifecycle. A data model extension, covering new items such as “manufacturing rules” and “tool setting preferences”, and a new methodology for rules management and deployment are proposed.
Highlights
The complexity of innovative aerospace products leads to new organizational and technological challenges
Lifecycle Management (PLM) environment extending it to manufacturing rules data management, in addition to the redesign of Feature Based Manufacturing (FBM) software modules in easy-to-use systems, in which knowledge engineers can formalize best practices and define standard rules, and computer-aided manufacturing (CAM) technologists can customize them for specific production requirements and needs
Two new items can be considered related to operations: the manufacturing features to which the operation refers and the manufacturing rule item, related to the specific XML file modified by CAM Expert and used to automatically determine, based on organizational knowledge, machining methods and parameters, cutting tools, etc
Summary
The complexity of innovative aerospace products leads to new organizational and technological challenges. Lifecycle Management (PLM) environment extending it to manufacturing rules data management, in addition to the redesign of FBM software modules in easy-to-use systems, in which knowledge engineers can formalize best practices and define standard rules, and CAM technologists can customize them for specific production requirements and needs. Based on these premises, the paper starts from a previous work [3], extending and placing in a PLM environment a knowledge-based methodology supporting manufacturing processes in an FBM scenario.
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