A novel accurate positioning method of reference hole for complex surface in aircraft assembly

Zhang, Qiang; Liu, Jintong; Zheng, Shouguo; Yu, Cijun

doi:10.1007/s00170-021-08244-3

Cited by 10 publications

(5 citation statements)

References 30 publications

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“…Significant elements 𝒮 refer to objects that have advantages in size, visual information, and contextual distinguishability with the given scene such as boundaries in PCBs [73], holes of aircraft skins [74], markers on scenarios [75], and designated contours in parts [76]. Determining the feature space means that significant elements are expected to be transformed into a domain independent public space to build correspondence with a given pattern by, for example, encoding elements into 2D, 3D [77], or pose [43] geometric space to perform matching with a given pattern (e.g., pointset, 3D model) [55].…”

Section: Significant Elements and Feature Spacementioning

confidence: 99%

A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects

Zhao,

Kong,

et al. 2024

Sensors

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The industrial manufacturing model is undergoing a transformation from a product-centric model to a customer-centric one. Driven by customized requirements, the complexity of products and the requirements for quality have increased, which pose a challenge to the applicability of traditional machine vision technology. Extensive research demonstrates the effectiveness of AI-based learning and image processing on specific objects or tasks, but few publications focus on the composite task of the integrated product, the traceability and improvability of methods, as well as the extraction and communication of knowledge between different scenarios or tasks. To address this problem, this paper proposes a common, knowledge-driven, generic vision inspection framework, targeted for standardizing product inspection into a process of information decoupling and adaptive metrics. Task-related object perception is planned into a multi-granularity and multi-pattern progressive alignment based on industry knowledge and structured tasks. Inspection is abstracted as a reconfigurable process of multi-sub-pattern space combination mapping and difference metric under appropriate high-level strategies and experiences. Finally, strategies for knowledge improvement and accumulation based on historical data are presented. The experiment demonstrates the process of generating a detection pipeline for complex products and continuously improving it through failure tracing and knowledge improvement. Compared to the (, 69.802 mm) and 0.883 obtained by state-of-the-art deep learning methods, the generated pipeline achieves a pose estimation ranging from (, 153.584 mm) to (, 52.308 mm) and a detection rate ranging from 0.462 to 0.927. Through verification of other imaging methods and industrial tasks, we prove that the key to adaptability lies in the mining of inherent commonalities of knowledge, multi-dimensional accumulation, and reapplication.

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Section: Significant Elements and Feature Spacementioning

confidence: 99%

A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects

Zhao,

Kong,

et al. 2024

Sensors

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show abstract

“…The camera calibration of P' can be solved by the internal parameters and distortion coefficients, and the camera calibration of the point is (x ui , y ui , 1). The local coordinates of P' can be obtained by Equation (10)…”

Section: A Visual Measurement Model Of Hole Group Size Based On Circl...mentioning

confidence: 99%

“…Non-contact measurement uses a variety of sensors to measure the apertures and the center distance of the hole group without contacting the holes [6][7][8][9][10][11]. The vision 2 of 13 measurement is an important measurement method and is widely used in hole size measurement [12][13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Research on Visual Measurement of Aperture and Hole Group Center Distance Based on Geometric Constraint

Ren

et al. 2023

Symmetry

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Hole is the most common symmetrical geometric structure of mechanical parts, and aperture and hole center distance are important measured dimensions in machining. However, existing visual measurement methods often require high equipment installation accuracy and low measurement accuracy. To solve the problem of projection deformation of the measured hole: Firstly, a local coordinate system is created, and the coordinate plane of the coordinate is parallel to the end face of the measured hole. Secondly, a cone is established, the end face of the measured hole is alike to the bottom face of the cone, and the optical center of the camera is the vertex. The space equation of the cone is represented by the coordinates of the center point of the hole. Finally, a cutting plane is established near the imaging plane of the camera, and the intersection line equation between the plane and the cone is obtained, and the diameter of the measured hole and the coordinates of the center of the circle are obtained through the parameters of the intersection line equation. In order to solve the problem of errors in edge points of the hole, geometric constraints based on the center of the circle are used to improve measurement accuracy. This experiment takes the automobile insert mold as the measured part and uses the measurement model of this paper to measure the aperture and hole center distance of the mold. The measurement results show that the measurement accuracy of the aperture is 0.018 mm, the measurement accuracy of the center distance of the hole is 0.05 mm, and the maximum relative error is 2.2%.

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“…When drilling the edges of aircraft skin, laser displacement sensors face issues such as the disappearance of reflected laser or matching failures. Zhang [30] and colleagues addressed this problem by proposing a method that combines monocular vision with laser displacement sensors to measure the normal deviation of reference holes. However, compared to the traditional method of measuring normals using four laser displacement sensors, this approach exhibits lower accuracy.…”

Section: Introductionmentioning

confidence: 99%

An innovative normal self-positioning method with gravity and friction compensation for wall-climbing drilling robot in aircraft assembly

Xu,

Geng,

Jiang

et al. 2024

Preprint

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In aircraft manufacturing, the normal accuracy of fastening holes is crucial for the performance and lifetime of the aircraft. However, industrial robots face challenges in achieving precise normal positioning, marked by insufficient rigidity and error amplification. Contemporary methodologies frequently rely extensively on external sensors, encountering limitations in the presence of spatial constraints and low-light conditions. In response to these challenges, this paper presents a wall-climbing drilling robot specifically designed for operation within confined spaces. It innovatively employs an expansion self-positioning mechanism, coupled with robotic joint torque compensation control, to achieve precise normal positioning. The methodology relies on established drilling templates to determine hole positions and normals. By coordinating machinery and control efforts, the robot spindle axis aligns precisely with the axis of the drilling template sleeve, ensuring accurate normal positioning. The paper provides a comprehensive analysis of the mechanical principles governing the expansion self-positioning of the robot and introduces the joint torque compensation control method. The accuracy and effectiveness of the proposed approach are rigorously validated through a series of meticulous drilling experiments. Results demonstrate a significant improvement in the drilling normal accuracy of the wall-climbing drilling robot, meeting the stringent requirements for normal accuracy in aircraft assembly holes.

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A novel accurate positioning method of reference hole for complex surface in aircraft assembly

Cited by 10 publications

References 30 publications

A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects

A Common Knowledge-Driven Generic Vision Inspection Framework for Adaptation to Multiple Scenarios, Tasks, and Objects

Research on Visual Measurement of Aperture and Hole Group Center Distance Based on Geometric Constraint

An innovative normal self-positioning method with gravity and friction compensation for wall-climbing drilling robot in aircraft assembly

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