Using Machine Vision for Flexible Automatic Assembly System

Nerakae, Phansak; Uangpairoj, Pichitra; Chamniprasart, Kontorn

doi:10.1016/j.procs.2016.08.090

Cited by 42 publications

(11 citation statements)

References 8 publications

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“…This implicates that the fabrication accuracy of the transfer‐molding process in this work is shape independent and can be used for the realization of any more complex geometric building blocks like interlocking modules. AOI systems equipped with an automated shape recognition have the potential to avoid time‐consuming configurational changes in production lines . Derived from the interpolated data of the Weibull distribution, the pick and placer allows the differentiation of a fine tolerance range of ±50 μm (abbr.…”

Section: Resultsmentioning

confidence: 99%

“…AOI systems equipped with an automated shape recognition have the potential to avoid time-consuming configurational changes in production lines. 24 Derived from the interpolated data of the Weibull distribution, the pick and placer allows the differentiation of a fine tolerance range of AE50 lm (abbr. T 50 ) (DIN 40680-A-f), but, however, with a discard of 86%.…”

Section: Evaluation Of Processing Accuracymentioning

confidence: 99%

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Automated 3D assembly of periodic alumina‐epoxy composite structures

et al. 2018

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Modular composites with a 3D periodic structure, consisting of a major brittle inorganic phase (building blocks) and a minor viscoelastic organic matrix, offer great potentials for improved fracture toughness and failure probability in polymer‐ceramic composites. Alumina building blocks with dimensions of 1500 μm were assembled by a novel placing system equipped with an automatic optical inspection (AOI) system. The AOI system coupled with shape recognition enables simultaneous dimensional characterization, tolerance sorting, and flexible placing of different shaped building blocks. 3D periodic structures with cubic, monoclinic, and triclinic unit cells were fabricated by high accuracy placing of cubic building blocks enabling near‐net shape manufacturing. The placing precision of the assembled structures was determined by μCT to have a maximum deviation of ±78 μm. The structures were afterward infiltrated with a soft epoxy resin to fabricate epoxy‐alumina composites. The brick‐and‐mortar like building block arrangements of the monoclinic and triclinic structures exhibited improved bending strength, fracture toughness, and failure probability compared to monolithic epoxy, due to crack deflection and pull‐out toughening mechanisms. A maximum bending strength of 35.1 ± 7.5 MPa, a work‐of‐fracture of 814.7 ± 255.1 J/m² and a calculated fracture toughness of 4.8 ± 0.8 MPam for the triclinic structures was achieved.

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Section: Resultsmentioning

confidence: 99%

Section: Evaluation Of Processing Accuracymentioning

confidence: 99%

Automated 3D assembly of periodic alumina‐epoxy composite structures

et al. 2018

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“…In the modern manufacturing industry, the workload of the assembly process accounts for 20% to 70% of the whole manufacturing process, and the cost of assembly process accounts for 40% or more of the production cost. Flexible automatic assembly has always been a major difficulty in manufacturing automation [4].…”

Section: Introductionmentioning

confidence: 99%

An on-line path planning of assembly robots based on FOVS

Liu

Xiao-qiao

et al. 2021

Preprint

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To improve the accuracy and efficiency of path planning for the mechanical assembly process of products, an on-line path planning method for mechanical assembly process robots based on visual field space is proposed in this paper. Firstly, to predict and describe the assembly process, the concept of field-of-view space (FOVS) is proposed. Secondly, image processing is carried out by knowledge base to judge the assembly type and current assembly state, and the initial assembly path is given. Then, the assembly process is integrated and solved, and the location estimation of obstacles are given according to the FOVS. Finally, the ant colony algorithm is improved to get the final assembly optimization path. Comparing the algorithm with the ACS algorithm in the aspect of path planning. The length of path planning is reduced by 2%, and the algorithm time is reduced by 0.5s, the accuracy and efficiency have been effectively improved. the result shows that the algorithm is effective.

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“…At present, the technologies of computer machine vision have become a key part in next-generation intelligent vision CNC machines with the advantages of high precision, high efficiency, noncontact, and intelligence [ 11 , 12 , 13 , 14 , 15 ]. These technologies have attracted considerable attention from local and international scholars.…”

Section: Introductionmentioning

confidence: 99%

Computer Vision Tool-Setting System of Numerical Control Machine Tool

Hou

Zhang

Yang

2020

Sensors

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An automatic tool-setting and workpiece online detecting system was proposed to study the key technologies of next-generation intelligent vision computerized numerical control (CNC) machines. A computer vision automatic tool-setting system for a CNC machine was set up on the basis of the vision tool-setting principle. A rapid vision calibration method based on the position feedback from the CNC machine was proposed on the basis of the theory of traditional vision system calibration. The coordinate mapping relationship of the image and the CNC machine, the tool-setting mark point on the workpiece, and the tool tip were calibrated. The vision system performance testing and system calibration experiments were performed. Experimental results indicated that the time consumption was 128 ms in image processing. The precision of tool setting and measuring was less than 1 μm. The workpiece positioning and processing online detection function of the system can completely meet the requirements of visual CNC machine application, and the system has wide application prospects.

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Using Machine Vision for Flexible Automatic Assembly System

Cited by 42 publications

References 8 publications

Automated 3D assembly of periodic alumina‐epoxy composite structures

Automated 3D assembly of periodic alumina‐epoxy composite structures

An on-line path planning of assembly robots based on FOVS

Computer Vision Tool-Setting System of Numerical Control Machine Tool

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