Feature-based reverse modeling strategies

Ke, Yinling; Fan, Shuqian; Zhu, Weidong; An, Li; Liu, Fengshan; Shi, Xiquan

doi:10.1016/j.cad.2005.12.002

Cited by 84 publications

(45 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…27 The recognition of surface feature based in sectional strategies or feature extraction techniques are not applied in RE of anatomic surfaces and these techniques also face great difficulties in dealing with some types of free-form surfaces. 28 Commercial applications offer a wide range of tools that allow the operator to select the one that best fits a particular case. 17,18 The method implement in this study revealed that less experienced operators have an advantage in using more intuitive and automatic application tools like ScanTo3D of SolidWorks.…”

Section: Discussionmentioning

confidence: 99%

Accuracy control of complex surfaces in reverse engineering

Relvas

Ramos

Completo

et al. 2011

Int. J. Precis. Eng. Manuf.

View full text Add to dashboard Cite

CAD systems have greatly affected the way which engineers perform their function. Computers have simplified and eliminated many of repetitious tasks and the gap between computer models and physical products has significantly shortened. These tools have stimulated the impetus for product development but the manufacturing processes still depends on human skills which ultimately reduce errors and produce better products. Complex shapes representing the patient's anatomy are widely applied, namely in computer-assisted surgery and manufacturing of customized implants. These type of models represent a challenge for the reverse engineering processes and are not comparable with the demands of regular geometric models. In order to create a replica, data is processed in a series of steps that transforms the initial data obtained from the physical model into a three dimensional digital model. Most commonly it is necessary to include filtering, segmentation, mesh smoothing and surface generation. These steps can strongly affect the accuracy of the model. It is therefore necessary to find a compromise between the finest accuracy and maximum deviation acceptable to reduce computer processing time and achieve the best model. This study shows an iterative and alternating process to produce more accurate complex geometry models.

show abstract

Section: Discussionmentioning

confidence: 99%

Accuracy control of complex surfaces in reverse engineering

Relvas

Ramos

Completo

et al. 2011

Int. J. Precis. Eng. Manuf.

View full text Add to dashboard Cite

show abstract

“…Synthesizing Eqs. (14), (15), (16) and Eqs. (17), (18), (19), the geometry feature-based FFD can be stated as a constrained optimization problem.…”

Section: Step Imentioning

confidence: 99%

Reverse modeling strategy of aero-engine blade based on design intent

Zhang

Chen

Tao

2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Blade geometry plays an extremely important role in the aerodynamic performance of aero-engine. However, in the process of secondary machining for near-net shape or serviced blade, the deviation between the actual and nominal blades can raise serious problems for NC tool path generation. It is even worse that inappropriate reverse modeling may change the design intent and deteriorate the aerodynamic performance. This paper presents an innovative strategy for reconstructing actual profiles from measured data. Comparing with conventional reverse modeling, the proposed strategy emphasizes functional significance of the known feature information concerned with implicit design intent. The preservation of design intent has three levels by cognition of the feature information. Firstly, the established technique for rigid registration is improved by means of incorporating accuracy feature into localization. Secondly, the parametric design methodology of aero-engine blade profile is introduced into the free-form deformation (FFD) of cross sections to control geometry feature, and finally, it guarantees aerodynamic performance feature. Some practical examples are given to demonstrate the effectiveness and superiority of the strategy.

show abstract

“…The lowprecision data can be easily processed by the built-in commercial software. It is well known that the local slicing errors of cross-sectional data depend on the orientation of slicing planes [21]. Figure 3 illustrates the adopted slicing criteria for the blade.…”

Section: Step 1: Data Processing and Slicingmentioning

confidence: 99%

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

Zhang

Chen

Tao

2015

Int J Adv Manuf Technol

View full text Add to dashboard Cite

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.

show abstract

Feature-based reverse modeling strategies

Cited by 84 publications

References 41 publications

Accuracy control of complex surfaces in reverse engineering

Accuracy control of complex surfaces in reverse engineering

Reverse modeling strategy of aero-engine blade based on design intent

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

Contact Info

Product

Resources

About