CONCEPÇÃO DE UM SISTEMA DE DETECÇÃO DE INCONSISTÊNCIAS/FALHAS NO PROJETO DE PRODUTO OU FERRAMENTAS DE MANUFATURA BASEADO EM MODELOS FORMAIS 3D

INTRODUCTION: With the advance of globalisation and the growth of Industry 4.0, it has become necessary to apply new manufacturing concepts and methods to increase production capacity and process efficiency. These concepts enable the application of intelligent manufacturing in the aerospace industry, which is responsible for transforming manufacturing processes using software technologies based on artificial intelligence to automate the Sheet Metal Parts modelling process and obtain more accurate data. AIMS: This research aims to: (I) Obtain data extracted from Sheet Metal Parts and structure it using an Ontology; (II) Formalise information about this data using semantic rules; (III) Validate information between product designs and manufacturing to identify and resolve inconsistencies in advance. MATERIALS AND METHODS: Therefore, Models for Manufacturing (MfM) is applied to product design, a recent methodology that presents an organisation for formally defined information and knowledge. However, MfM does not track information and analyse inconsistencies in the modelling phases. Based on this paradigm, a solution is proposed through the development and adoption of Ontology-Based Engineering methods, processes and tools, based on the MfM model, to obtain data. In addition, Semantic Technologies are used to process the data using an OWL structure, also formalising the information using semantic rules in SWRL. RESULTS: The approach was tested experimentally on a part of the A400M airplane project. The combination of Ontology-Based Engineering (OBE) with the MfM methodology has demonstrated relevant results in guaranteeing the semantic interoperability of information during the sequential evolution of Product Design and Manufacturing, since the information is formally structured and traceable. FINAL CONSIDERATIONS: The semantic rules are carefully analysed, however, this approach should be evaluated in more cases to measure the gains achieved with the proposed solution. In addition, there are still several modifications to be made and other functions to be implemented, such as adding new data properties, creating new relationship rules, or populating the ontology with new individuals, thus enabling a wider and more accurate range of results. It would also be possible, with a usability study, to create a graphical interface and/or automate the processes of separating, extracting, and inserting data, with the sole aim of simplifying the processes. However, it can be considered that the results obtained were satisfactory, fulfilling the proposed timetable and delivering a functional tool that still has great development potential.

KEYWORDS: Inconsistencies Analysis; Sheet metal parts; Ontology; Semantic Rules; Aerospace Industry