Combination of a Vision System and a Coordinate Measuring Machine for the Reverse Engineering of Freeform Surfaces

Carbone, V.; Carocci, Matteo; Savio, Enrico; Sansoni, Giovanna; Chiffre, Leonardo De

doi:10.1007/s001700170179

Cited by 121 publications

(44 citation statements)

References 17 publications

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“…Hybrid contact-optical coordinate measuring systems are each designed by Chan [12], Carbone [13], Tzung-Sz [14] and Sladek et al [15] where the obtained information digitized by an optical sensor is used to guide the touch probe for remeasuring the sample surfaces. The presented systems are cooperative integrations where optical sensors acquire the global shape information of objects to guide the touch probes for automatic point sensing.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Feng

Longstaff

Fletcher

et al. 2014

Int J Adv Manuf Technol

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The reduction of the lead time in measurement and reverse engineering, and the increased requirements in terms of accuracy and flexibility, have resulted in a great deal of research effort aimed at developing and implementing multisensor systems. This paper describes an effective competitive approach for using a tactile probe to compensate the data from a laser line scanner to perform accurate reverse engineering of geometric features. With the data acquired using laser scanning, intelligent feature recognition and segmentation algorithms can be exploited to extract the global surface information of the object. The tactile probe is used to re-measure the geometric features with a small number of sampling points and the obtained information can be subsequently used to compensate the point data patches which are measured by laser scanning system. Then, the compensated point data can be exploited for accurate reverse engineering of a CAD model. The limitations of each measurement system are compensated by the other. Experimental results on three parts validate the rapidity and accuracy of this multi-sensor data fusion approach.

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Section: Literature Reviewmentioning

confidence: 99%

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

Feng

Longstaff

Fletcher

et al. 2014

Int J Adv Manuf Technol

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“…However, they are not suitable for measuring the parts having transparent and reflective materials due to the optical sensors they use. Each type of measuring device has pros and cons; therefore, the selection of an optimal measuring device must be application dependent [14,15,16,17,18].…”

Section: Introductionmentioning

confidence: 99%

Path planning of multi-patched freeform surfaces for laser scanning

Son

Kim

Lee

2003

The International Journal of Advanced Manufacturing Technology

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In this paper, a new method for scanning a complex surface model with multiple patches is proposed. In scanning of freeform-shaped models, it is difficult to generate a measuring plan by human intuition due to the complexity of the part. The developed method calculates the number of scans, scan direction, and scan path for a stripe-type laser scanner. The user can designate the surface patches that need to be scanned. In generating the scan plan, surface information is first extracted from the CAD model automatically. Other information such as, design knowledge, functionality and machine parameters are provided interactively. Based on this information, the original surface model is sampled in the u, v parameter domain and the sampled points are grouped using the view angle of the laser scanner. The scan direction is determined by calculating the global mean vector of the sampled points that belong to a group. The range of the view angle can be varied to enhance the quality of captured point data. The optical scan paths for each scan direction are calculated by projecting the sampled points onto a 2D plane. The optical constraints are also verified to guarantee the generated scan plan.

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“…Carbone et al [29] and Shen et al [30] also concentrated on reverse engineering, but they combined the touch probe and the vision system in both complementary and synergistic ways. Carbone et al first used the scanner data to create a rough CAD model that was then used as guidance for touch probing inspection.…”

Section: Non-contact Blue Led Structured Light Scannermentioning

confidence: 99%

On Development of Methods for Expressing Customer Affective Response for Apparel Products

Zhao¹,

Montazer²,

Wang³

et al. 2015

Proceedings of CAD'15

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In dimensional metrology, contact and non-contact measurement methods each have their own respective strengths and weaknesses. Touch-trigger probes have low uncertainty, and perform well inside deep holes, but have a relatively slow data acquisition speed. By contrast, non-contact digitizers collect high density surface point clouds in seconds, and are much less likely to suffer from sensor collision with the part, but have a higher uncertainty than touch probes. In sheet metal forming, iterative design of the stamping die is needed due to the springback of the sheet metal part. Holes or other features of first article parts may be significantly out of tolerance, so the tactile measurement path created from the Computer Aided Design (CAD) nominal has to be adjusted to avoid cosine error. In more serious cases, probe collisions or missed touches may occur. When measuring holes in thin sheet metal, determination of the touch probe path height is also a challenge if the actual surface location differs from the nominal.To solve this problem and seize the complimentary advantages of contact and non-contact measurement methods, a multi-sensor blue Light Emitting Diode (LED) snapshot sensor and touch-trigger probe inspection system was developed, and affixed to a Coordinate Measuring Machine (CMM). The tactile measurement path was adjusted according to the approximate positions and sizes of the features obtained from the scanner iv data. The system includes an in-house designed calibration target for scanner calibration and a lightweight 2-axis rotary table for multiple-orientation scanning as well. Software in programming language C for interacting with the scanner and the CMM was developed.

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Combination of a Vision System and a Coordinate Measuring Machine for the Reverse Engineering of Freeform Surfaces

Cited by 121 publications

References 17 publications

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

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

Path planning of multi-patched freeform surfaces for laser scanning

On Development of Methods for Expressing Customer Affective Response for Apparel Products

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