Rapid and accurate reverse engineering of geometry based on a multi-sensor system

Feng, Lijie; Longstaff, Andrew P.; Fletcher, Simon; Myers, Alan

doi:10.1007/s00170-014-5997-y

Cited by 24 publications

(14 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Coordinate measuring machines (CMMs) have also used physical contact to improve coordinate metrology [17]. Other contact based scanning methods like Tactile probing [18] for manufacturing applications like part inspection [19] and reverse engineering [20] by linking vision to touch are also not new. However, Refs.…”

Section: Non-contact and Contact Based Scanning Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Haptic Manipulation of 3D Scans for Geometric Feature Enhancement

Turlapati

Accoto

Campolo

2021

Sensors

View full text Add to dashboard Cite

Localisation of geometric features like holes, edges, slots, etc. is vital to robotic planning in industrial automation settings. Low-cost 3D scanners are crucial in terms of improving accessibility, but pose a practical challenge to feature localisation because of poorer resolution and consequently affect robotic planning. In this work, we address the possibility of enhancing the quality of a 3D scan by a manual ’touch-up’ of task-relevant features, to ensure their automatic detection prior to automation. We propose a framework whereby the operator (i) has access to both the actual work-piece and its 3D scan; (ii) evaluates the missing salient features from the scan; (iii) uses a haptic stylus to physically interact with the actual work-piece, around such specific features; (iv) interactively updates the scan using the position and force information from the haptic stylus. The contribution of this work is the use of haptic mismatch for geometric update. Specifically, the geometry from the 3D scan is used to predict haptic feedback at a point on the work-piece surface. The haptic mismatch is derived as a measure of error between this prediction and the real interaction forces from physical contact at that point on the work-piece. The geometric update is driven until the haptic mismatch is minimised. Convergence of the proposed algorithm is first numerically verified on an analytical surface with simulated physical interaction. Error analysis of the surface position and orientations were also plotted. Experiments were conducted using a motion capture system providing sub-mm accuracy in position and a 6 axis F/T sensor. Missing features are successfully detected after the update of the scan using the proposed method in an experiment.

show abstract

Section: Non-contact and Contact Based Scanning Technologiesmentioning

confidence: 99%

“…However, Refs. [17][18][19][20] specifically require CAD and are primarily post-processing methods limited to verifying part geometry after manufacturing. Our framework on the other hand, is a pre-manufacturing process for refining 3D scans with finer features omitted during scanning.…”

Section: Non-contact and Contact Based Scanning Technologiesmentioning

confidence: 99%

Haptic Manipulation of 3D Scans for Geometric Feature Enhancement

Turlapati

Accoto

Campolo

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Primitive type recognition and primitive fitting are key issues for computer aided manufacturing and assembly, geometric inspection etc. (Li, Longstaff et al 2014, Aivaliotis, Michalos et al 2018. Considerable research activities in shape segmentation have been explored in recent years.…”

Section: Data Segmentationmentioning

confidence: 99%

A region segmentation method to measure multiple features using a tactile scanning probe

Hiley

Syed

et al. 2019

International Journal of Computer Integrated Manufacturing

Self Cite

View full text Add to dashboard Cite

Coordinate measuring machines have been widely used in industry to precisely measure parts for inspection or quality control. These machines use tactile or optical probes and a mechanism that can locate the position of the probe relative to surfaces and features of a workpiece. One of the main barriers to using a touch-trigger probe is the cumbersome programming work required to identify the probing points and for scan path planning. In this paper, we propose a practical data-segmentation method to continuously measure multiple features of the workpiece using a scanning probe. This approach takes advantage of fast data-capture capability of the scanning probe and, subsequently, the point dataset is segmented using the information extracted from the CAD model of the part. This methodology does not require tedious programming and all desired measurement results can be obtained from a single scan. The principle of the method is presented and the feasibility of the method is experimentally verified on a bridge-type Hexagon DEA Global CMM equipped with a Leitz LSP-X1 probe. The proposed method avoids manual operation errors and generates more sampling points than traditional methods; therefore, theoretically providing lower measurement uncertainty. The test results also indicate that the new method using a scanning probe is easy to implement and can save more than 90% measurement time in comparison with a conventional touch-trigger method.

show abstract

“…21 In this solution, either the optical scanner or the object to be measured is placed on the mechanical device, and therefore, the geometric transformation between the scans can be computed using the movement parameters of the device. In addition, multisensor coordinate measuring machines (CMMs) 22 have been developed to meet the demands of industrial dimensional metrology. A 3-D optical scanner (for example, laser scanner) is mounted on the CMM ram, the movement of which can be strictly controlled to improve the capability of data acquisition.…”

Section: Using Mechanical Devicesmentioning

confidence: 99%