Alexandre Durupt

From a 3D point cloud to an engineering CAD model: a knowledge-product-based approach for reverse engineering

Reverse engineering (RE) is an area of current interest in which physical models are measured or digitised to obtain a virtual model. Currently, geometric models are rebuilt using geometric approaches. These models are generally frozen (i.e. not parameterisable and not easy to modify). This paper deals with a new knowledge-based approach for reverse engineering that enables nonfrozen computer-aided design (CAD) models. According to the product knowledge, we propose to assist CAD software application user to build the tree structure of the product. The proposed approach aims to obtain an engineering CAD model by merging existing geometric approach and the tree structure of the product.

Knowledge Based Reverse Engineering—An Approach for Reverse Engineering of a Mechanical Part

Reverse engineering (RE) is a domain of current interest where physical models are measured or digitized in order to obtain a virtual model. Currently, these virtual models are rebuilt using approaches that consider only a geometric point of view. These models are generally frozen (i.e., poorly parameterized and not easy to modify). These kinds of models are good for many applications but people need more for redesign operations. This paper proposes a knowledge-based approach for reverse engineering that enables a RE user to rebuild nonfrozen models that are close to an original CAD model. [.

Application of PLM for Bio-Medical Imaging in Neuroscience

Bio-medical imaging (BMI) is currently confronted to similar issues than those of manufacturing industries twenty years ago : the growing amount of data, the heterogeneity and complexity of information coming from diverse disciplines, have to be handled by various actors belonging to different organizations. The researchers of the GIN (Neuroimaging Functional Group) laboratory study brain maps of anatomical and functional cognitive activation of hundred-subject cohorts, acquired with Magnetic Resonance Imaging (MRI). Therefore they want to manage the whole process of their research studies, from raw data to analysis results. Even if some data management systems have been developed to meet the requirements of BMI large-scale research studies, there are still many efforts to do in the integration of all the data and processes along a research study, from raw to refined data. So, the use of the Product Lifecycle Management (PLM) concepts to handle the complexity and characteristics of BMI data is proposed. A PLM neuroimaging datamodel that has been designed in collaboration between the GIN laboratory, Roberval laboratory and Cadesis company to meet the needs of the GIN, is described.

Mechatronics vs. cyber physical systems: Towards a conceptual framework for a suitable design methodology

This paper presents a conceptual framework for Mechatronics, Cyber Physical Systems (CPS) and electromechanics. This framework is made for CPS and Mechatronics initially, by looking at the background of those systems. A distinction is then proposed between Mechatronics and Electromechanics, with an energy-based approach. These distinctions are envisioned as an important factor that could influence the selected design methodology. The processes, the organizational structure and the procedures relative to the design projects can thus be adapted according to the metrics and parameters qualifying the system to be designed.

Towards an Enhancement of Relationships Browsing in Mature PLM Systems

Product Lifecycle Management (PLM) domain is at a key point in its development: its concepts and technologies are mature. PLM systems not only manage documents but information associated to a product along its lifecycle, such as Bills-Of-Material (BOM) or require- ments at different levels of granularity. All the dependencies between concepts lead to complex relationships from which it is not easy to get a coherent overview. The purpose of the paper is to know whether PLM systems are able to deal relationships complexity. Two case studies – one form manufacturing industry and the other one from a new application domain of PLM, Bio-Medical Imaging - are developed in the paper. They show that hierarchical browsing of existing PLM systems is not suitable to manage relationships complexity and must evolve to graph browsing.

Reverse Engineering for Manufacturing Approach: Based on the Combination of 3D and Knowledge Information

Today industrial companies are still trying to optimize in terms of time and cost the re-manufacturing of mechanical components. They need to directly define a new process planning from 3D information (points cloud, drawings…). This paper proposes an approach called Reverse Engineering For Manufacturing (REFM) which allows to directly obtain a CAPP (Computer Aided Process Planning) model from 3D and knowledge information. Routine tasks will also be taken into account. In this paper, RE is considered as a specific domain and concerns parts where no information is available on them. The system management is based on Design For Manufacturing (DFM) approach and enables to manage manufacturing information (the number of fixtures, the kind of milling operations...). Additionally, the future REFM system will have to propose alternatives for CAPP models. Therefore the main innovative point of REFM is to develop “manufacturing knowledge extraction” phase which is the aim of this paper.

Standardisation Focus on Process Planning and Operations Management for Additive Manufacturing

The work presented in this paper has focused on process planning and operations management of Additive Manufacturing (AM) through the hereafter mentioned standards such as ISO 10303 and ISO 14649, ISO 15531, ISO/CD 18828 and Unified Manufacturing Resource Model (UMRM). We have combined these standards to integrate process implementations, manufacturing management and control and information flows. The objective of this work is to standardize manufacturing process for AM. Similarly, the UMRM is introduced to develop a unified manufacturing resource service platform, which can provide the required information regarding machine tools to automate the decision making in process planning and operations management.

A Reverse Engineering for Manufacturing approach

ABSTRACTDefining a Computer Aided Process Planning (CAPP) model from a physical part is an important issue in product improvement, remanufacturing and quality control. Reverse Engineering (RE) is a process that allows to convert low level geometric information like 3D points cloud to high level information such as CAD model, CAPP model etc. There exist two approaches to obtain a CAPP model for a physical part. The first one is to reconstruct a CAD model of the part to be reversed, which then is reintroduced in the conventional product lifecycle. The second one is to directly identify manufacturing operations and define a new process planning from 3D information. This paper proposes an approach called Reverse Engineering For Manufacturing (REFM) which allows to directly obtain a CAPP model from 3D information and the skills of a user.

A Reverse Engineering Method for DMU Maturity Management: Use of a Functional Reeb Graph

In a development process, Digital Mock-Up (DMU) is the referential view of the developed product, all along the product states (“as-design”, “as-manufactured”, etc.). In case of long lifetime products, such as boats or planes, each released product has its own DMU. During the use, maintenance operations are made. Some of the modifications are made “on field” and are not always reported to the DMU which is no longer mature. The product lifecycle is impacted and not efficient anymore. This paper focuses on a systematized methodology for checking the maturity level of a DMU by confronting it to the real product it is intended to represent. DMU inconsistencies correspond to unreported product components modifications. The first step of the process is a global comparison between the DMU and a digitization of the in-use product using the Reeb graph. The used comparison criterion is the topology. The second step is to identify the kept DMU components in the digitized dataset and thus deduce inconsistencies. That step implies a new shape descriptor combining topological and functional descriptions of a mechanical part: the Functional Reeb Graph.

PHENIX: product history-based reverse engineering

Reverse engineering (RE) is an activity which consists in digitising a real part in order to create a CAD model. Today, a lot of references are centred on geometrical approaches based on transformations of the point cloud. The issued CAD models are generally ‘frozen’ or barely re-usable. Nevertheless, to support engineering changes in a new design process, the product should be represented with a parametric geometry. This paper suggests a knowledge-based approach in order to provide a product’s parametric CAD model. A data model based on the extension of the core product model (CPM) is suggested and enables to manage multi-CAD models of the knowledge-based RE process.