Optimal localization of complex surfaces in CAD-based inspection

Xu, Jizheng; Liu, Weijun; Sun, Yuwen

doi:10.1007/s11465-008-0068-4

Cited by 8 publications

(4 citation statements)

References 19 publications

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“…The iterative process becomes divergent if the correction coefficient is chosen incorrectly. Subsequently, Xu et al [7] proposed a new localization method that is divided into two steps. In this method, the rough This paper proposes a flexible localization method that ensures the non-uniform profile tolerance and uniform material allowance on the section profiles of blade.…”

Section: Literature Reviewmentioning

confidence: 99%

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A Flexible Localization Method of Multi-Constrained Free-Form Surface Based on the Profile Curves

Gao

Liu

2022

Applied Sciences

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The precision forming process is currently used for many difficult-to-cut parts such as aero-engine blades. However, satisfying the tolerance requirement of the forming accuracy is difficult. Thus, precision machining is used to ensure final accuracy of the part. The error of the near-net shape caused by the thermal process cannot be ignored in the machining process. If the cutting tool path is generated in terms of the design blade model, it would be too difficult to satisfy the material allowance and tolerance requirement of the design blade. In this paper, we propose a new flexible localization method to reconstruct a to-be-cut surface which improves the qualification rate. In this method, the tolerance and material allowance requirements are transformed into optimization constraints. Furthermore, the profile curves of the to-be-reconstructed blade surface are converted into the optimization variables. The material allowance distribution of the to-be-reconstructed surface needs to be as uniform as possible. Through this optimization, the profile curves of the blade surface at the specified height are obtained and used to evaluate the to-be-cut blade model. Finally, a typical compressor blade model is used to verify the proposed method. The results show that the approach can meet the tolerance requirements and ensure sufficient material allowance for the near-net shape blades.

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Section: Literature Reviewmentioning

confidence: 99%

“…The iterative process becomes divergent if the correction coefficient is chosen incorrectly. Subsequently, Xu et al [7] proposed a new localization method that is divided into two steps. In this method, the rough alignment is finished according to the Gauss curvature and the mean curvature of the model.…”

Section: Literature Reviewmentioning

confidence: 99%

A Flexible Localization Method of Multi-Constrained Free-Form Surface Based on the Profile Curves

Gao

Liu

2022

Applied Sciences

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“…Yan et al [11] developed an algorithm of rough and fine localization for surface machining and inspection. Sun and Xu [12,13] compared the Gaussian and mean curvatures of the design and the measured surfaces to align the design surface with the measured points in rough localization, and then used an iterative method of calculating the distances between the measured points and the design part in fine localization. Mehrad et al [14] roughly localized the design surface by minimizing the distance between the measured and the design surfaces, which reduced uncertainties of fine localization.…”

Section: Literature Reviewmentioning

confidence: 99%

Part localization theory and its application on near-net-shape machining

Chang

Wan

Chen

et al. 2018

Int J Adv Manuf Technol

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As an emerging technique, near-net-shape machining implies that billets of a part are near to its net shape (or its design), and thus, little machining of the billets is required to produce qualified pieces. This technique has been employed in production of critical parts, repair of important but worn out parts, and machining of three-dimensional (3-D) printed parts. To cut a near-net-shape billet, its part localization should be conducted by transforming (or localizing) its part design model geometrically such that the transformed model is inside the billet and within the part tolerances. This transformed model is called machining model. After that, the machining model is used to generate tool paths and the billet is cut with the tool along the paths. Unfortunately, the current problem of this technique is that the conventional part localization methods cannot ensure that the transformed model is within the tolerance and tool paths generated with this model cannot be used to cut the billet for a qualified piece. To address this problem, an innovative and practical approach is proposed to transform part features individually, making sure that the transformed model is inside the billet model and satisfies the part tolerance. In this work, three practical examples are rendered to verify this approach. This approach lays a theoretical foundation of part localization and is an effective solution to near-net-shape machining in industry.

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“…The third method is based on the mechanics-mathematical models such as the inverse kinematics (IK) algorithm. But IK can not explain the joint torque contribution from the point of view of single muscle, and the muscle force must be solved through some optimization methods [5][6][7]. The last muscle force and joint torque calculation method is based on the relations between muscle mechanical properties and bio-signals.…”

Section: Introductionmentioning

confidence: 99%

Muscle Force and Joint Torque Prediction Model for Intelligent Human-Assisted Product Design

et al. 2010

AMR

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The muscle force and joint torque prediction model for intelligent human-assisted product design based on surface electromyography (EMG) was described. Muscle force and joint torque are the most important motion information in the intelligent assistant product design, and they can help designers to consider functional capabilities and limitations of different users when designing products. At first, thinking of the characteristics of daily tasks, surface EMG was adopted as the signal source. Secondly, the architecture of the prediction model based on the muscle physiological model and the musculoskeletal geometry model was proposed. According to the relationships of the “force-length” and “force-velocity”, the muscle force and joint torque could be calculated while the muscle active level was taken as one parameter. Finally, the experimental results of an intelligent stand-up assistant chair confirmed the effectiveness of the prediction model.

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Optimal localization of complex surfaces in CAD-based inspection

Cited by 8 publications

References 19 publications

A Flexible Localization Method of Multi-Constrained Free-Form Surface Based on the Profile Curves

A Flexible Localization Method of Multi-Constrained Free-Form Surface Based on the Profile Curves

Part localization theory and its application on near-net-shape machining

Muscle Force and Joint Torque Prediction Model for Intelligent Human-Assisted Product Design

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