DIMEXP

DIgital mock-up for Multi-EXPertises integration

The joint research group DIMEXP - DIGITAL MockUp Multi-EXPertises UTC (Roberval UMR CNRS 7337) / DeltaCAD has a main objective of developing methods and models to improve the integration of multidisciplinary expertise and heterogeneous data in advanced digital environments.

General Objectives

  • General objectives and Main Issues

    The emergence of standards in design and industrialization of mechanical products through collaborative management, multi-scale digital-mock up and taking into account of heterogeneous information.

    DIMEXP deals with data models, process models and organizational methods to improve the collaboration of experts. These experts are implied in different steps of the product life cycle and come from different domains of expertise. The differences of expertise, the large panel of engineering software and the heterogeneous data used impair correct collaboration between engineering experts.

    In the manufacturing plant context, PLM systems (Product Lifecycle Management) aim to bring solutions to this problem. Nevertheless, the collaboration is organized at a macroscopic scale between the engineering services and not between the people. The collaboration is systematically organized through an approach called “top – down”. The "operational" collaboration is not supported and takes place in an informal frame. This collaboration cannot be piloted and valued. Moreover, only part of the data is truly managed in the management systems, or at least only a part is really exploited.

    Multidisciplinary expertise information integration of mechanical product according to “data” and “collaboration process” points of view.

  • Methods or Technologies Used

    Toward the integration of design and industrialization expertizes of mechanical products with a data and process oriented point of view.

    From data point of view, the approach consists in organizing data in order to allow the classification, the indexation, the parameters evaluation and their relationships. A nomenclature is defined and proposed allowing visualization, exploring and the traceability of heterogeneous data. This organization is placed around of the Digitial Mock-up of the product.

    From “collaborative process” point of view, the approach consists in organizing the engineering collaboration around the concept of “engineering actions”. It impacts the structuration of the collaboration, in this case, mainly based on the engineering action. It allows to improve the decision making process on the design and industrialization of the product.

  • Main results

    From « data » point of view, the first obtained results are based on the concept of signature of an object. Signature allows characterizing an object contained in a data. Our solutions adapted to the context of Reverse Engineering allow detecting an object from a digitalization.

    The Manufacturing context is the historical domain dedicated to DIMEXP. However, the works of DIMEXP could be applied on another domains such as BIM (Building Information Modelling) etc.

    DIMEXP is a research group, thus, implied in international conferences, workshops etc. Researchers of DIMEXP have recurrent publication in international journals.

Publications

Journals

  • Zheng, C., Bricogne, M., Le Duigou, J., Eynard, B. (2014): Survey on mechatronic engineering: A focus on design methods and product models.
    Advanced Engineering Informatics Vol.28, 241–257 DOI: 10.1016/j.aei.2014.05.003 [PDF]
  • Bricogne M., Rivest L., Troussier N., Eynard B. (2014). Concurrent versioning principles for collaboration: towards PLM for hardware and software data management
    International Journal of Product Lifecycle Management Vol. 7 n° 1, pp. 17–37, 2014 DOI: 10.1504/IJPLM.2014.065457 [PDF]
  • Ali, S., Durupt, A., Adragna, P.-A., & Bosch-Mauchand, M. (2014). A Reverse Engineering for Manufacturing approach.
    Computer-Aided Design and Applications Vol. 11(6), 694–703. DOI: 10.1080/16864360.2014.914387 [PDF]
  • Durupt, A., Remy, S., Ducellier, G., & Pouille, P. (2014). Reverse engineering using a knowledge-based approach
    International Journal of Product Development Vol. 19(1/2/3), 113. DOI: 10.1504/IJPD.2014.060045 [PDF]
  • Durupt, A., Remy, S., Bricogne, M., & Troussier, N. (2013). PHENIX: product history-based reverse engineering. International Journal of Product Lifecycle Management
    International Journal of Product Lifecycle Management Vol. 6, No. 3, 2013 DOI: 10.1504/IJPLM.2013.055884 [PDF]

Results & Activities

Here are some of our Research Activities and Research Results.
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