flexible manufacturing system
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Author(s):  
Banovsha Valiyeva Banovsha Valiyeva

Based on comparative analysis of the current state of the issue, the main research tasks of the study were put in order to solve the current problem. The structure of the automated diagnostics system of typical industrial robots applied in flexible manufacturing systems of the appliance industry has been proposed. , The scheme of stable diagnostics of industrial robots applied in the flexible manufacturing system and also their mechatronics parts was proposed. To ensure the sustainability of the automated diagnostics of the industrial robot operating in the robotics complex, a scheme consisting of general diagnostic testing tools of the automated process control system, means of replacing faulty elements and diagnostic decision-making subsystem has been proposed. The automation scheme of the diagnostic system of technological equipment controlled by digital software, which is serviced by industrial robots in the flexible manufacturing system under study, has been proposed. The analysis of the proposed architecture of the industrial robot and its mechatronics diagnostic system was carried out. In one work turn, for the automated diagnosis of mechatronic parts of an industrial robot, the accuracy of its operations, hardness, power supply, oil content of mechanical parts, etc. requirements for verification of technical procedures have been identified. For the analysis of the architecture of the control and diagnostic system of the research object, the regulation of linear and angular displacements of the industrial robot at hierarchical levels (level 1), software testing of the current state of its execution mechanisms (level 2), automated workstation and control node connection is provided (level 3). For the automatic diagnostics of the industrial robot, the requirements for the sounds generated between the kinematic displacement points are in the accepted sound range, the vibrations in the kinematic displacement points are in the required range, and the power supply is in the required range. Automation of control and monitoring functions of the diagnostic system with the help of the server of the local industrial network of the industrial robot performing service functions in production is provided by SCADA. Keywords: instrumentation industry, flexible manufacturing system, diagnostic system, industrial robot, mechatronics part.


2021 ◽  
Vol 2115 (1) ◽  
pp. 012045
Author(s):  
Kanchan Ganvir ◽  
Rakeshkumar Jain

Abstract The worldwide advancements of new innovations are developing at a touchy rate, yet associations are embracing more gradually henceforth, serious promoting society and incorporated supervisory crews are required in an organization to exploit new advances. Adaptable assembling innovations are seen by organizations to be a significant component Exceeding competitiveness and seriousness. Notwithstanding, dominating in the present market isn’t easy and straightforward like the procurement of fresh improvement. So as to accomplish more of advantages, the structural framework associations will combine to ensure that the execution of innovation should lead to the normal benefits. Hence, a structure that encourages flexible manufacturing system companies deciding the prerequisites of the FMS reception, with the correct blend of green technology and vital components is required. The study examines particular dimensions of green manufacturing Index Applicability and FMS such as Information technology, planning, flexible automation techniques. The outcome will determine the major substantiate to establish and strengthen the value of product with superior performance, Using the findings the research will suggests the implication and adoption for further research. It would definitely enhance the performance in any industrial organisation with economic growth. This Research aims to report the findings of an exploratory work by integrating Green Manufacturing and flexible Manufacturing system techniques to generate new strategies which can be further administered in an industrial organization and sectors such as component manufacturing, automobile parts and processing sectors.


2021 ◽  
Vol 7 (5) ◽  
pp. 2260-2274
Author(s):  
Fansen Kong ◽  
Xiaofeng Li

The global manufacturing model is changing, and the manufacture of precision box parts is developing in the direction of automation and flexibility. Through the application of the information integration management module, integrated device information is collected to develop the system operation plan, which is transferred to the logistics management module and converted into control information executable by the processing module. Finally, the flexible machining of precision box parts is automatically implemented. Through the dynamic scheduling optimization strategy based on filtered directed search, the dynamic scheduling of system processing is completed. The machining target segmentation method based on symmetric differential algorithm is used to accurately extract the contour information of the precision machining target of the box. This process is the working principle of the precision boxlike flexible manufacturing system based on the symmetric differential algorithm designed in this paper. The results show that the system can effectively reduce the number of marks and the maximum completion time of the processing of precision box parts, and its balance ability and processing efficiency are fast.


2021 ◽  
Author(s):  
Amira Jablaoui ◽  
Hichem Kmimech ◽  
Layth Sliman ◽  
Lotfi Nabli

In this article, we study the NP-Hard combinatorial optimization problem of the minimum initial marking (MIM) computation in labeled Petri net (L-PN) while considering a sequence of labels to minimize the resource consumption in a flexible manufacturing system (FMS), and we propose an approach based on the ant colony optimization (ACO) precisely the extension Rank-based ACO to optimal resource allocation and scheduling in FMS. The ACO meta-heuristic is inspired by the behavior of ants in foraging based on pheromones deposit. The numerical results show that the proposed algorithm obtained much better results than previous studies.


2021 ◽  
Author(s):  
Young Jun Yoo

Abstract This paper researches an IoT module-based pipe classification system for a flexible manufacturing system that recognizes the size and length of pipes used in the painting process of high-pressure pipes. The proposed system is composed of an IoT module, USB camera, and edge TPU for pipe classification. The proposed system recognizes the type of pipe by three processes; object detection of the pipe, line detection algorithm of the three regions of interest, and pipe classification algorithm based on the line detection algorithm. Furthermore, the proposed system enables web-based real-time monitoring, providing convenience to workers and helping them make quick decisions. The IoT module interfaces with the painting robot and the sequence control that paints for each type of pipe is executed in the painting robot, allowing flexible manufacturing of the painting process.


2021 ◽  
Vol 60 ◽  
pp. 176-201
Author(s):  
Yepeng Fan ◽  
Jianzhong Yang ◽  
Jihong Chen ◽  
Pengcheng Hu ◽  
Xiaoyu Wang ◽  
...  

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