%0 Journal Article
%T An extended framework for knowledge modelling and reuse in reverse engineering projects
%A Alexandre Durupt
%A Farouk Belkadi
%A Harvey Rowson
%A Matthieu Bricogne
%A Nad¨¨ge Troussier
%A S¨¦bastien Remy
%J Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
%@ 2041-2975
%D 2019
%R 10.1177/0954405418789973
%X Reverse engineering is when a real part is analysed in detail in order to create a numerical or virtual model. Reverse engineering allows for multiple redesign possibilities, including changes in the material, the shape and the parameters of the part. Reverse engineering is mostly a manual activity for companies and is thus time consuming. Indeed, measurements must be done in scanned files in order to fit sketches on a mesh and to finally rebuild the computer-aided design/bill of material. This manual process is acceptable when reverse engineering is exceptional. But it is considered as a non-value task when reverse engineering is routine. This non-value task could be automated, at least partially. To make it possible, a capitalization of the company¡¯s part catalogue is a necessary step to proceed. The use of this capitalization can then drive the reverse engineering tasks to enable faster redesign possibilities. The aim of this contribution is thus to propose a knowledge model to support reverse engineering activities in order to integrate the reversed parts quickly into the new product¡¯s detailed design. An extended knowledge framework based on the core product model is proposed, and a use case is shown to validate the feasibility of the proposal of the reverse engineering methodology called PHENIX
%K Reverse engineering
%K knowledge-based engineering
%K core product model
%K mechanical engineering
%U https://journals.sagepub.com/doi/full/10.1177/0954405418789973