A Coordination Space Model for Assemblability Analysis and Optimization during Measurement-Assisted Large-Scale Assembly

Cui, Zhizhuo; Du, Fengming

doi:10.3390/app10093331

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…Compared with traditional measurement technology, MAA significantly improves measurement accuracy and efficiency. In order to improve the success rate of one-time assembly in the actual assembly scene, Cui et al studied the assemblability of large-scale parts by analyzing the assembly measurement data of actual parts [29]. Bao et al registered the key features of the MBD model and point cloud model through digital measurement technology in the assembly process, to build a semiphysical model containing actual geometric information [30].…”

Section: Digital Measurementmentioning

confidence: 99%

A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning

et al. 2021

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The manufacturing of a high-precision servo valve belongs to multi-variety, small-batch, and customized production modes. In the process of assembly and commissioning, various characteristic parameters are critical indicators to measure product performance. To meet the performance requirements of a high-precision servo valve, the traditional method usually relies on the test bench and manual experience for continuous trial and error commissioning, which significantly prolongs the whole assembly-commissioning cycle. Therefore, this paper proposed a performance prediction method for a high-precision servo valve supported by digital twin assembly-commissioning. Firstly, the cloud-edge computing network is deployed in the digital twin assembly-commissioning system to improve the efficiency and flexibility of data processing. Secondly, the method workflow of performance prediction is described. In order to improve the accuracy of measurement data, a data correction method based on model simulation and gross error processing is proposed. Aiming at the problem of high input dimension of the prediction model, a key assembly feature parameters (KAFPs) selection method, based on information entropy (IE), is proposed and given interpretability. Additionally, to avoid the poor prediction accuracy caused by small sample data, a performance prediction method based on TrAdaboost was utilized. Finally, the hysteresis characteristic commissioning of a high-precision servo valve is taken as an example to verify the application. The results indicate that the proposed method would enable accurate performance prediction and fast iteration of commissioning decisions.

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Section: Digital Measurementmentioning

confidence: 99%

A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning

et al. 2021

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“…In Reference [6], a methodology of a product image design integrated decision system based on Kansei engineering theory was developed. In Reference [7], to improve the quality of the large-scale assembly, an assemblability analysis and optimization method based on the coordination space model was developed. In Reference [8], a region-based convolutional neural network was constructed to recognize graphical symbols in piping and instrument diagrams.…”

Section: Contentmentioning

confidence: 99%

Editorial for the Special Issue: Computer-Aided Manufacturing and Design

2020

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“…Current research can be categorized into two main aspects: studying the docking trajectory and attitude control based on the theoretical model of the product and the docking mechanism [6], or examining the feasibility of various docking methods based on visual guidance [7]. However, the actual assembly conditions are very complex with the machining error of the docking interface, the spatial attitude deviation between the cabins [8], the slight deformation during the docking process, etc. At present, most assembly quality tests are based on digitization and visual recognition.…”

Section: Introductionmentioning

confidence: 99%

Research on the method of judging the docking quality of aviation components based on attitude measurement

Liu¹,

Chu²,

Li³

2023

J. meas. eng.

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Butt assembly plays a crucial role in the manufacturing process of aviation products, as its assembly quality directly impacts product performance. Current research on the butt assembly of large cylindrical components mainly focuses on attitude measurement or precise cabin attitude adjustment. However, these studies often overlook the influence of the cabin machining error and the attitude deviation during the docking process, as well as the prediction and assessment method of the docking quality. In this paper, the docking force in the assembly process is used as the evaluation basis of docking quality. The actual geometric docking data model is measured and constructed by a 3D scanner. Through a series of docking experiments, the coupling force data under different spatial attitudes are obtained. The docking quality assessing method of aviation components based on attitude measurement is established by examining the internal relationship between the docking area deviation, the maximum docking deviation distance, the space deviation angle and the maximum relay. This approach advances the quality prediction and assessment technology for large aviation components, offering a novel perspective on the assembly and docking of large aviation structures.

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A Coordination Space Model for Assemblability Analysis and Optimization during Measurement-Assisted Large-Scale Assembly

Cited by 9 publications

References 17 publications

A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning

A Performance Prediction Method for a High-Precision Servo Valve Supported by Digital Twin Assembly-Commissioning

Editorial for the Special Issue: Computer-Aided Manufacturing and Design

Research on the method of judging the docking quality of aviation components based on attitude measurement

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