A novel 3D optical method for measuring and evaluating springback in sheet metal forming process

Zhang, Dehai; Li, Yanqin; Liu, Jianxiu; Xie, Guizhong; Su, Erwei

doi:10.1016/j.measurement.2016.06.032

Cited by 19 publications

(7 citation statements)

References 18 publications

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“…By contrast the following picture, the noise has been removed. Each model surface quality has been improved largely [3]. …”

Section: Point Cloud Removalmentioning

confidence: 99%

Using the Point Cloud Data to Reconstructing CAD Model by 3D Geometric Modeling Method in Reverse Engineering

Li¹,

Xie²,

Meng³

et al. 2017

Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

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Abstract. Reverse engineering (RE) is widely used on the aspects about designing of advanced products, software or images. The 3D Geometric modeling method is composed of measurement equipment and RE software. The three-dimensional digital measurement equipment is used to collect the model's point cloud data and reconstruct CAD model. Geomagic Studio is widely used to process data and repair models, while Geomagic Qualify is widely used in testing of reconstruction model. The point cloud data of a turbine blade is collected and processed, some technologies and steps including pre-processing of point cloud data, polygon processing, surface fitting, triangular mesh, model smoothing and polygon mesh optimization are conducted. Finally, it is being demonstrated that 3D Geometric modeling method in Reverse Engineering is successful.

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“…By contrast the following picture, the noise has been removed. Each model surface quality has been improved largely [3]. …”

Section: Point Cloud Removalmentioning

confidence: 99%

Using the Point Cloud Data to Reconstructing CAD Model by 3D Geometric Modeling Method in Reverse Engineering

Li¹,

Xie²,

Meng³

et al. 2017

Proceedings of the 2017 International Conference on Manufacturing Engineering and Intelligent Materials (ICMEIM 2017)

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“…The new model effectively described the springback behavior of space tubes [5]. Zhang et al proposed a new 3D optical method to measure and evaluate springback in the forming process and studied its principles, procedures, and steps [6]. Ouakdi et al used the U-shaped tensile-bending test to evaluate springback, showing the influence of factors such as the radius of curvature of die, the blank holding force (BHF), and the depth of drawing on springback [7].…”

Section: Introductionmentioning

confidence: 99%

Springback Analysis of Flexible Stretch Bending of Multi-Point Roller Dies Process for Y-Profile under Different Process Parameters

Chen

Liang

et al. 2021

Metals

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Springback is a common defect caused by elastic recovery in the plastic forming process, which can cause the formed workpiece to deviate from the target shape. The purpose of this paper is to grasp the influence law of process parameters on springback deviation so as to optimize process parameters to reduce springback. Taking the Y-profile as the research object, the influence of process parameters such as horizontal bending radius, vertical bending radius, transition zone length, radius of roller dies, and wall thickness of the profile on springback deviation is discussed by numerical simulation. Additionally, the validity of the numerical simulation is verified through experiments. The springback law obtained by numerical simulation is applied to practical production, and the large-scale production of the Y-profile is realized.

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“…Optical methods based on laser triangulation [7] or CCD image acquisition [8] have been applied as well, but they may suffer from the problem of dead angles, which can be significant in the case of complex bendings [9]. Other authors have tried to solve these problems by increasing the number of optical sensors [10], or using shadow moire techniques [11], but only in applications where the workpiece is not totally constrained by the tools. A different approach was proposed to measure the end orientation by tracking a laser beam emitted by a device fixed on the tube [12], but cannot be applied in the case of multiple bends in workpieces.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the accuracy of in-process springback measurements of complex tube bending processes using cost-effective embedded sensors

Ghiotti¹,

Simonetto²,

Bruschi³

et al. 2021

Meas. Sci. Technol.

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Geometrical errors due to springback are the main causes of variability in bending of thin-walled tubular profiles. This limits the process capability and determines an increase of the overall production costs due to both scrap or rework, and to the quality control operations. Despite the evolution of bending processes in the last decade, with the adoption of full-electric, highly automated CNC machines, the workpieces’ geometry is usually still verified off-line downstream from the forming stage. This paper presents an innovative on-machine, integrated measuring approach for fast in-process inspection of bent tube geometrical features through cost-effective micro-electromechanical system inertial measurement sensors. These embedded sensors are affected by systematic errors due to both measuring principle and process-related effects; therefore a methodology to correct such errors is proposed. Error compensation is applied to drift and cross-axis sensor errors, as well as to mandrel kinematics and wear effects. An additional sensing system, placed on the tube end for monitoring of the metrological performances and to enabe quick adjustments, is also presented. The results of the validation tests highlight how the proposed system can be used to measure on-machine the final workpiece angle. The final mean absolute errors, for bending angles between 15° and 90°, were, respectively, 0.03° and 0.1° for the sensors embedded in the mandrel and on the tube end depending on the configuration, which are lower than the maximum deviations actually accepted in such processes. However, the performance of the former can be further improved by the proposed periodic quick adjustment procedure. The newly developed on-machine metrology solution enables not only a shortening of the quality control chain, but also significant economic benefits, and a case study is documented.

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A novel 3D optical method for measuring and evaluating springback in sheet metal forming process

Cited by 19 publications

References 18 publications

Using the Point Cloud Data to Reconstructing CAD Model by 3D Geometric Modeling Method in Reverse Engineering

Using the Point Cloud Data to Reconstructing CAD Model by 3D Geometric Modeling Method in Reverse Engineering

Springback Analysis of Flexible Stretch Bending of Multi-Point Roller Dies Process for Y-Profile under Different Process Parameters

Enhancing the accuracy of in-process springback measurements of complex tube bending processes using cost-effective embedded sensors

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