Multi-scale modeling and knowledge capitalization for analysis and development of DFM

Abstract

The analytical technologies development and simulation tools use increases day by day; leading to an increment of the data, information and knowledge associated to a product. Due to this, a wide spectrum of approaches (based in different contexts) during the study of the product are required. As well, during the process of design for manufacturing, an extensive number of uses cases are generated; where are contained a lot of behaviors, associations, aspects and inputs to consider. In consequence, this paper aims to propose a multi-scale modelling method to provide a better structure, better perception and better description regarding to the aspects implicated on a product and its manufacturing process. The model proposed is based on different scales representations, characterized through “representation axes”. In this the product data is decomposed and commit at different representation views or ranges. The use of manufacturing knowledge can be implemented on to the analysis and evaluation of the data (input values); providing new information based in the coherence among the inputs. In this way, its capitalization and coherences among the information can be used in product design. For this reason, different models are defined to represent the data and the knowledge during the evolution and structure of the project to develop.