Dimension measurement of hot large forgings with a novel time-of-flight system

Tian, Zhongda; Gao, Feng; Jin, Zhenlin; Zhao, Xin

doi:10.1007/s00170-008-1807-8

Cited by 41 publications

(20 citation statements)

References 30 publications

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“…Such threshold corresponds to the minimum height which is expected for a riser and has been introduced in order to avoid false switches to the subsequent horizontal plane. If the test is passed, id is increased and q is correctly assigned (lines [12][13][14][15].…”

Section: Plane Fitting Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

A Real-Time 3D Reconstruction of Staircases for Rehabilitative Exoskeletons

Raineri

Monica

Bianco

2021

IEEE Trans. Med. Robot. Bionics

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Section: Plane Fitting Algorithmmentioning

confidence: 99%

“…It was based on the recognition of common primitives, such as cuboids or cylinders, and on a neighboring technique. A cheaper solution was adopted in [14]. In that paper a 2D laser scanner, driven by a stepper motor so as obtain a 3D reconstruction, was used for the acquisition of the point cloud.…”

Section: Introductionmentioning

confidence: 99%

A Real-Time 3D Reconstruction of Staircases for Rehabilitative Exoskeletons

Raineri

Monica

Bianco

2021

IEEE Trans. Med. Robot. Bionics

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“…Researchers have developed several kinds of 3D measurement systems to inspect thermal objects over the years. In 2009, Tian et al [2] integrated time-of-flight equipment and two motors to inspect a large forging cylinder; the system works at a distance of 16 m to remove the influence of high temperature and radiation on the measurement. However, the system generates data point by point and it takes a long time to complete one inspection.…”

Section: Introductionmentioning

confidence: 99%

A Robot-Driven 3D Shape Measurement System for Automatic Quality Inspection of Thermal Objects on a Forging Production Line

Han

Cheng

et al. 2018

Sensors

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The three-dimensional (3D) geometric evaluation of large thermal forging parts online is critical to quality control and energy conservation. However, this online 3D measurement task is extremely challenging for commercially available 3D sensors because of the enormous amount of heat radiation and complexity of the online environment. To this end, an automatic and accurate 3D shape measurement system integrated with a fringe projection-based 3D scanner and an industrial robot is presented. To resist thermal radiation, a double filter set and an intelligent temperature control loop are employed in the system. In addition, a time-division-multiplexing trigger is implemented in the system to accelerate pattern projection and capture, and an improved multi-frequency phase-shifting method is proposed to reduce the number of patterns required for 3D reconstruction. Thus, the 3D measurement efficiency is drastically improved and the exposure to the thermal environment is reduced. To perform data alignment in a complex online environment, a view integration method is used in the system to align non-overlapping 3D data from different views based on the repeatability of the robot motion. Meanwhile, a robust 3D registration algorithm is used to align 3D data accurately in the presence of irrelevant background data. These components and algorithms were evaluated by experiments. The system was deployed in a forging factory on a production line and performed a stable online 3D quality inspection for thermal axles.

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“…The scanning of the tested forgings was completed. The 3D model of the tested forging was constructed by processing the measured data and the detection of the 3D static size of the tested forging was realised [14]. He proposed a method for measuring the outer diameter of hot forgings based on dual prismatic pairs revolve pairs revolve pairs revolve pairs mechanism (PRRR) theory.…”

Section: Introductionmentioning

confidence: 99%