Automatic fixtureless inspection of non-rigid parts based on filtering registration points

Karganroudi, Sasan Sattarpanah; Cuillière, Jean-Christophe; Vincent, François; Tahan, Antoine

doi:10.1007/s00170-016-8496-5

Cited by 15 publications

(18 citation statements)

References 26 publications

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“…Typically, these methods try to find a nonrigid registration that minimizes the Euclidian distance between the acquisition data (or SCAN) and the nominal CAD while respecting some criteria related to the intrinsic (dimensional & shape) properties of the part. The nonrigid point set registration performed within a flexible registration method can be based on a Finite Element Analysis (FEA) [3][4][5][6][7][8][9][10][11][12][13][14] or based on a probability density estimation [16][17]. As a result, a flexible registration operation is either FEA-based or probabilistic.…”

Section: ) Flexible Registration (With Complementary Defect Identifimentioning

confidence: 99%

The fixtureless inspection of flexible parts based on semi-geodesic distance

Babanezhad

Foucault

Sabri

et al. 2019

Precision Engineering

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Some types of manufactured parts like sheet metals and skins often have a significantly different shape in a free-state position compared to their state-of-use position (as defined by their nominal CAD models) due to a combination of gravity and/or the residual effects of stress. Traditionally known as flexible (nonrigid compliant) parts, these dedicated fixtures are used for inspection operations in order to maintain flexible parts from a free-state position to a state-of-use position. This paper introduces a new automatic defect identification method primarily intended for two less-investigated manufacturing defect types: contour profile errors and hole localization. By combining simple techniques such as mesh boundary detection, fast boundary-based correspondence searches and accurate fast marching on triangulated meshes, the semi-geodesic distances from each boundary vertex on the acquired SCAN mesh to all the other boundary vertices is calculated, stored in a table and then compared to the corresponding values on the part's nominal CAD mesh. The comparisons found in the tables result in an estimation of the location and amplitude of the two aforementioned defect types. Compared to other work in this field, the overall approach does not rely on any mesh registration or finite-element analysis with tedious boundary conditions setup. It is also relatively fast. A fast algorithm/app based on this method was named the AFDA (Automatic Free-state Defect Approximation) and was validated against case studies in the aerospace sector. The results reflect the utility and effectiveness of the proposed approach.

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Section: ) Flexible Registration (With Complementary Defect Identifimentioning

confidence: 99%

The fixtureless inspection of flexible parts based on semi-geodesic distance

Babanezhad

Foucault

Sabri

et al. 2019

Precision Engineering

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“…An automatic fixtureless inspection approach based on filtering corresponding sample points was presented in [29], wherein corresponding sample points that are in defect areas are automatically filtered out, based on curvature and von Mises stress criteria. This tends to a more accurate inspection of non-rigid parts.…”

Section: Review Of Previous Researchmentioning

confidence: 99%

A robust and automated FE-based method for fixtureless dimensional metrology of non-rigid parts using an improved numerical inspection fixture

Sabri

Sattarpanah

Tahan

et al. 2017

Int J Adv Manuf Technol

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Dimensional inspection is an important element in the quality control of mechanical parts that have deviations from their nominal (CAD) model resulting from the manufacturing process. The focus of this research is on the profile inspection of non-rigid parts which are broadly used in the aeronautic and automotive industries. In a free-state condition, due to residual stress and gravity loads, a non-rigid part can have a different shape compared with its assembled condition. To overcome this issue, specific inspection fixtures are usually allocated in industry to compensate for the displacement of such parts in order to simulate the use state and accomplish dimensional inspections. These dedicated fixtures, their installation, and the inspection process consume a large amount of time and cost. Therefore, our principal objective has been to develop an inspection plan for eliminating the need for specialized fixtures by digitizing the displaced part's surface using a contactless (optical) measuring device and comparing the acquired point cloud with the CAD model to identify deviations. In our previous work, we developed an approach to numerically inspect the profile of a non-rigid part using a non-rigid registration method and finite element analysis. To do so, a simulated displacement was performed using an improved definition of boundary conditions for simulating unfixed parts. In this paper, we will improve on the method and save time by increasing the accuracy of displacement boundary conditions and using automatic node insertion and finite element analysis. The repeatability and robustness of the approach will be also studied and its metrological performance will be analyzed. We will apply the improved method on two industrial non-rigid parts with free-form surfaces simulated with different types of displacement, defect, and measurement noise (for evaluation of robustness).

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“…3 All inspection methods proposed so far are limited to linear elastic isotropic materials with well-known characteristics. 1 –7 Nowadays, the use of parts made of composite materials is progressively growing, especially in aerospace industry. However, up to now, there is no virtual inspection method that was developed for nonrigid composite parts, at least to the best of our knowledge.…”

Section: Introductionmentioning

confidence: 99%

Characterization of multilayered carbon-fiber–reinforced thermoplastic composites for assembly process

Pham

Vincent

et al. 2018

Journal of Thermoplastic Composite Materials

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The aim of this research work is to characterize the mechanical behavior of multilayered carbon-fiber–reinforced polyphenylene sulfide composites with the application to assembly process of nonrigid parts. Two anisotropic hyperelastic material models were investigated and implemented in Abaqus as a user-defined material. An inverse characterization method was applied to identify the parameters of these material models. Finite element simulations at finite strains of a flexible composite sheet were carried out. Numerical results of sheet deformation were compared with the experimental results in order to evaluate the appropriateness of the material models developed for this application.

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Automatic fixtureless inspection of non-rigid parts based on filtering registration points

Cited by 15 publications

References 26 publications

The fixtureless inspection of flexible parts based on semi-geodesic distance

The fixtureless inspection of flexible parts based on semi-geodesic distance

A robust and automated FE-based method for fixtureless dimensional metrology of non-rigid parts using an improved numerical inspection fixture

Characterization of multilayered carbon-fiber–reinforced thermoplastic composites for assembly process

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