Method for determining the probing points for efficient measurement and reconstruction of freeform surfaces

Li, Y F; Liu, Z G

doi:10.1088/0957-0233/14/8/313

Cited by 41 publications

(25 citation statements)

References 22 publications

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“…If that is a tip ball it is usual to characterize its position by the position of the centre point. In order to get the position of the corrected measured point (probed point) the output position of the centre point has to be corrected by adding a tip correction vector of the length of tip ball radius in the direction from the centre point to the probed point [145]. The radius of the tip ball is obtained from a qualification procedure for the probing system [146].…”

Section: Factors Affecting Probing Performancementioning

confidence: 99%

Traceability on Machine Tool Metrology: A Review

Mutilba¹,

Gomez-Acedo²,

Kortaberria³

et al. 2017

Preprint

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Errors during manufacture of high value components are not acceptable nowadays in driving industries such as energy and transportation. Sectors such as aerospace, automotive, shipbuilding, nuclear power, large science facilities or wind power manufacture complex and accurate components that demand close measurements and fast feedback into manufacturing processes. New measuring technologies are already available in machine tools, including integrated touch probes and fast interface capabilities. They shall provide the possibility to measure the workpiece during or after the manufacturing process, maintaining the original setup of the workpiece and avoiding the manufacturing process from being interrupted to transport the workpiece to a measuring position. However, the traceability of the measurement process on a machine tool is not ensured yet and measurement data is still not fully reliable for process control or product validation. Due to the similarity between a coordinate measuring machine and a machine tool, some of the methods applied for a correct assessment of uncertainty in coordinate measuring machines are adapted to the challenges of a machine tool. The scientific objective is to determine the uncertainty on a machine tool measurement and, in this way, convert it into a machine integrated traceable measuring process. This paper reviews the fundamentals of machine tool metrology.

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Section: Factors Affecting Probing Performancementioning

confidence: 99%

Traceability on Machine Tool Metrology: A Review

Mutilba¹,

Gomez-Acedo²,

Kortaberria³

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Assuming that the residual errors obey the Gaussian distribution [25], the Modi_BIC criterion [15] is introduced for simplifying Eq. (4).…”

Section: The Selection Of Cross-sectional Substitute Modelmentioning

confidence: 99%

“…By maximizing det(F), one can minimize ‖δε‖ 2 . The number of registration points is n′, and the initial registration points are the projection of control points of the selected cross-sectional substitute model [15]. In the Fig.…”

Section: Step 3: Localization and Uncertaintymentioning

confidence: 99%

“…Obeidat et al [14] subdivided a surface into some small patches and distributed sampling points within the patches in two steps, (1) sampling the most critical points that depend on the maximum and minimum Gaussian curvature of each patch, (2) adding more points that depend on the overall distribution of the most critical points on the surface. In addition, due to systematic and pseudo-random errors contained in the measurement system, the sampling method has been recognized as a major component of measurement uncertainty [15]. This paper presents an efficient measurement with a multisensor system for the reconstruction of an aero-engine blade in the adaptive machining.…”

Section: Introductionmentioning

confidence: 99%

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Efficient measurement of aero-engine blade considering uncertainties in adaptive machining

Zhang

Chen

Tao

2015

Int J Adv Manuf Technol

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Blade geometry plays an extremely important role in the aerodynamic performance of aero-engine. However, in the adaptive machining process of a near-net-shape blade, it is important for an application engineer to reconstruct an actual profile with high-precision measurement data in a short time. This paper presents an efficient measurement to meet the requirement for digital information in the adaptive machining, which is also intimately associated with the previous work in reconstruction (Zhang et al. in Int J Adv Manuf Technol 2015:1-16, 2015. Comparing with conventional measurement, the proposed method can not only improve the utilization of measurement data from multi-sensor system but also consider the uncertainties of measurement and localization in data merging. Concretely speaking, the low-precision data from non-contact measurement device is used for establishing possible substitute models. The modified Bayesian information (Modi_BIC) criterion based on Bayesian statistics is introduced as the principle to select the model structure. In order to reduce misalignment errors of the selected substitute model, the statistical analysis of Fisher information matrix is applied to determine registration points. Based on this, the uncertainties can be given in the form of variation boundaries. Comparisons with the specified tolerance band determine a set of re-measured points by using a contact measurement device. The high-precision data can be merged with the selected substitute model by means of free form deformation (FFD) technique. The final measurement data is provided in the form of skinning surface that is consistent to the reverse modeling methodology of aero-engine blade. Moreover, some practical examples are given to demonstrate the effectiveness and superiority of the proposed method.

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“…However, they are mostly used for individual probe usage or for basic applications such as part position finding ) or for CMM probe guidance (Li and Liu 2003). In a different topology the LS is used as a separate device and the scanned data are used for CMM automated probe path planning (Shen et al, 2000).…”

Section: Related Workmentioning

confidence: 99%

A Cad Modelling System Automation for Reverse Engineering Applications

Jamshidi

Mileham

Owen

Digital Enterprise Technology

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In the Reverse Engineering process, scanned data digitised by various scanning systems from the component geometry is used to regenerate the original design information. CAD model creation from such data requires numerous stages of modelling processes. Several algorithms for the modelling processes were developed and verified in the earlier stages of this research. In this paper the automation of these algorithms into a unique CAD modelling system is introduced. The system user can create a complete CAD model by integration and minimum manipulation of the high resolution scanned data, obtained using a high accuracy Coordinate Measurement Machine with touch probe, and low resolution scanned data obtained using a high speed LaserScanner, rapidly and accurately.

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Method for determining the probing points for efficient measurement and reconstruction of freeform surfaces

Cited by 41 publications

References 22 publications

Traceability on Machine Tool Metrology: A Review

Traceability on Machine Tool Metrology: A Review

Efficient measurement of aero-engine blade considering uncertainties in adaptive machining

A Cad Modelling System Automation for Reverse Engineering Applications

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