A new method of processing laser scanning data of radial section dimensions for ring forgings

Fu, Xiang; Miao, Shu Jiang; Zhang, Yucun; Li, Qun; Kong, Tao; Zhang, Gui-ru

doi:10.1016/j.measurement.2019.107430

Cited by 15 publications

(8 citation statements)

References 11 publications

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“…The simulation results showed that the six axial height errors of the ring forgings were all within 0.6 mm, which was in superb agreement with the actual size. Fu et al [40] optimized the laser scanning data of the radial section size by combining the gradient descent method and the uniform isomorphism factor, which provided an approach to solve the undetermined coefficient. Quantitative results revealed the average diameter error of standard ring forgings was reduced by approximately 0.26 mm and for non-standard ring forgings was reduced by about 0.39 mm, which effectively improved the detection accuracy.…”

Section: Real-time Detection and Feedback Control Of Deformation Processmentioning

confidence: 99%

Management Control and Integration Technology of Intelligent Production Line for Multi-Variety and Complex Aerospace Ring Forgings: A Review

Huang

Cui

et al. 2022

Metals

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Large and complex ring forgings are key structural parts of the aerospace field, and their quality is closely related to the reliability of aerospace vehicles. However, high-quality production of aerospace ring forgings faces many problems, such as the long process design cycle and impoverished consistency, the difficulties of real-time detection under the severe time-varying state of the deformation process, the complexity of high-quality non-destructive testing under multitudinous defects, and the cumbersome management control of the multi-source and multi-dimensional heterogeneous data. Considering the current situation of multi-variety and multi-batch production for aerospace ring forgings, establishing an intelligent production line is a crucial means to solving the above problems and realizing the standardization and premiumization of key aerospace components. Therefore, management control and integration technology of the intelligent production line play a crucial role. An analysis, including the research progress of the intelligent computer-aided process planning (CAPP) system, the real-time detection and control system, the product quality testing system, and the intelligent management control and integration system, is systematically reviewed in this work. Through intelligently managing and controlling the integrated systems of the production line, the production efficiency of ring forgings can be effectively improved, and the production energy consumption can be remarkably reduced, which is of great significance for enhancing the manufacturing technology level of aerospace products.

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Section: Real-time Detection and Feedback Control Of Deformation Processmentioning

confidence: 99%

Management Control and Integration Technology of Intelligent Production Line for Multi-Variety and Complex Aerospace Ring Forgings: A Review

Huang

Cui

et al. 2022

Metals

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Section: Reverse Modelingmentioning

confidence: 99%

“…Based on steady laser, the distance to objects could be determined with laser pulse travel time or phase shifts (Vosselman & Maas, 2010). With prominent performance in precision, resolution ratio, the variability of measuring distance, and operability, laser scanning has intensive application in three-dimensional measurement and modeling of civil infrastructure (Holgado-Barco et al, 2017;Jaafar et al, 2017), industrial facility (Fu et al, 2020), and terrain map (Telling et al, 2017). H. S. Park et al (2007) adopted terrestrial laser scanning together with displacement measurement model to estimate deflection less than 1 mm of the steel beam and acquired satisfying consequence within 1.6% of that measured by linear variable displacement transducers.…”

Section: Reverse Modeling Techniquementioning

confidence: 99%

Automated inspection and monitoring of member deformation in grid structures

Wei

Fan

Liu

et al. 2021

Computer aided Civil Eng

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In large-span grid structures with thousands of members involved, bending deformation of members is one of the most commonly observed damages affecting the normal service, even the safety of structures. Traditional testing and monitoring methods show weakness in the accurate judgment of crooked members and precision of deformation measurements. In this paper, a new deformation inspection and monitoring method of grid structures using image-based 3D reconstruction is proposed, wherein a new method is put forward to automatically recognize and extract the shape deformation of the structural member for the first time. First, the key area with multiple members is modeled as a threedimensional mesh model using image-based 3D reconstruction. Then, a new automated recognition and extraction algorithm of shape deformation (AREAS) is carried out, and crooked members, together with their deformed shapes, are extracted from the mesh model through AREAS. In this study, a load experiment of a quadrangular pyramid grid structure containing artificial crooked members and speckled members is designed to compare the deformation measurements using image-based 3D reconstruction with those using laser scanning. The comparison of deformation and deformation increment shows an average error within 1 mm for image-based 3D reconstruction, which validates the proposed method in on-site inspection and monitoring.

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“…This geometry deviation seriously affects the performance of large forgings and wastes a large amount of steel. In order to produce hightemperature forgings with accurate shape and size, some countries developed non-contact optical geometry measurement techniques and methods based on laser scanning, machine vision and so on [9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Research on the End Surface Dent of the Main Shaft Forging

Niu

Qian³

et al. 2021

Teh. vjesn.

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In the process of the stretching of the shaft forgings, if the process parameters are not properly selected, the end-face dent will take place. The end-face dent affects the performance of large forgings and leads to much material wasting. Finite element method was employed to perform numerical simulation of the stretching of a main shaft with an upper flat anvil and a lower V-shaped anvil. The orthogonal test table was designed by selecting the anvil width, the Reduction ratio and the feed as influencing factors. Accordingly, simulations were carried out to solve the end-face dent values under different parameter combinations. The analysis showed that the optimal parameter combination gave an anvil width ratio of 0.75, a Reduction ratio of 0.2, and an initial feed of 300 mm. Through extremum difference analysis, it was found that among the three factors are the feed, the reduction ratio, and the anvil width ratio in the decreasing order of the influence on the end-face dent. Comprehensive analysis showed that when the anvil is relatively narrow, increasing the relative feed can reduce the end-surface dent remarkably. It is advisable that during the stretching of shaft forgings with a flat upper anvil and a V-shaped lower anvil, the combination of the anvil width ratio of 0.75, the reduction ratio of 0.2, and increasing the feed can reduce the end-face dent, thereby reducing the end cutting and saving material costs.

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A new method of processing laser scanning data of radial section dimensions for ring forgings

Cited by 15 publications

References 11 publications

Management Control and Integration Technology of Intelligent Production Line for Multi-Variety and Complex Aerospace Ring Forgings: A Review

Management Control and Integration Technology of Intelligent Production Line for Multi-Variety and Complex Aerospace Ring Forgings: A Review

Automated inspection and monitoring of member deformation in grid structures

Research on the End Surface Dent of the Main Shaft Forging

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