scholarly journals INDUSTRIALS SIMULATION MODELING TECHNOLOGY APPLICATION TO IMPROVE THE EFFICIENCY IN AUTOMATIC PRODUCTION LINE EQUIPMENT CRYSTALS

2021 ◽  
Vol 28 (3) ◽  
pp. 28-40
Author(s):  
Tuan-Linh Nguyen ◽  
Keyword(s):  
Production Line ◽  
High Efficiency ◽  
Decisive Role ◽  
Production Costs ◽  
Automatic Production ◽  
Technology Application ◽  
Original Plan ◽  
Technical Advances ◽  
Automatic Production Line ◽  
Effective Use

Currently, the application of technical advances to production plays an important role in improving productivity and saving production costs. The techniques applying information technology bring high efficiency, accuracy, reliability, pre-assessment of the results. Modeling and simulation are method that are widely used from research, design, manufacturing to operate the systems. With the help of computers, with high computational speed and large memory, the modeling method was strongly developed, bringing great efficiency in research and production practice. The assessment of effective use of equipment in the production line has a decisive role in increasing the productivity and decreasing cost. Therefore, the analysis and evaluation of the production line by the simulation model method is highly practical, bringing many effects in the management and use of equipment. In this study, a simulation of a specific problem was performed to estimate the simulated workshop. Then, building a new plan and comparing the proposed plane with the original plan to provide the reasonable solutions for the production process to effectively use the equipment in the production line.

Continuous automatic production line for porcelain plates

1969 ◽  
Vol 26 (6) ◽  
pp. 356-357
Author(s):  
I. I. Moroz ◽  
M. G. Sivchikova ◽  
G. G. Sarkisov ◽  
L. L. Oleinik
Keyword(s):  
Production Line ◽  
Automatic Production ◽  
Automatic Production Line

scholarly journals Automatic Assembly of Bolts and Nuts Based on Machine Vision Recognition

2021 ◽  
Vol 2113 (1) ◽  
pp. 012033
Author(s):  
Haocheng He
Keyword(s):  
Computer Vision ◽  
Production Line ◽  
Recognition System ◽  
Automatic Assembly ◽  
Robot Arm ◽  
Accuracy Improvement ◽  
Automatic Production ◽  
Computer Vision Technology ◽  
Automatic Production Line ◽  
Pixel Scale

Abstract In this study, based on the computer vision technology, we developed a recognition system for nuts positioning to complete the automatic bolt assembly part of the automatic production line. The actual image of the nut was captured by an industrial camera, which would be processed by the following edge detection and Hough circle transformation. After that, the coordinates of the nuts were obtained in the pixel scale. Finally, the real position of nuts would be fed back to the robot arm, according to which the automatic assembly of the bolt would be completed. This computer vision based recognition system is an indispensable part for the efficiency and accuracy improvement of automatic production line.

The Research of Button Battery Automatic Production Line Remote Fault Analysis

2012 ◽  
Vol 271-272 ◽  
pp. 1684-1688
Author(s):  
Jun Chen ◽  
Shu Zhong Lin
Keyword(s):  
Production Line ◽  
Fault Analysis ◽  
System Model ◽  
Layer System ◽  
Automatic Production ◽  
Production Practice ◽  
Three Layer Architecture ◽  
Diagnosis Method ◽  
Automatic Production Line ◽  
Fault Diagnosis System

This article unifies the Li/Mno2button battery automatic production line of production practice, using C/S two-layer system with the B/S three layer architecture combines database system model, mainly expounds the production line in remote fault diagnosis system of fault data analysis and diagnosis method and so on.

Servo-Control System Design of Automatic Production Line Based on PLC and HMI

2013 ◽  
Vol 457-458 ◽  
pp. 1381-1385 ◽  
Author(s):  
Sheng Yong Lei
Keyword(s):  
Control System ◽  
Production Line ◽  
Position Control ◽  
Servo Control ◽  
Automatic Production ◽  
Ac Servo ◽  
Servo Control System ◽  
Electric Control ◽  
Automatic Production Line ◽  
Machine Interface

Automatic production line includes machinery, electric, control, communication and other multi-disciplinary technologies and knowledge. It is an ideal training platform for students majored in mechatronics and electric automation. In the designing of platform, however, the difficulty lies in the precise delivery and position control of linear guide rail system. To address this problem, this paper aims at designing an AC servo-control system based on PLC, AC servo driver, servo motor and human-machine interface (HMI) and elaborates the principle of servo-control system, circuit design and software design. The system will achieve reliable delivery and precise positioning with position error less than 1 mm, which, with great application value, will meet the actual demand from industrial production.

Implementation of CANopen Distributed Control Network Based on ARM in Automatic Production Line

2010 ◽  
Vol 139-141 ◽  
pp. 2217-2220 ◽  
Author(s):  
Jun Zhang ◽  
Bing Bing Chen ◽  
Xiang Jun Zou
Keyword(s):  
Operating System ◽  
Real Time ◽  
Distributed Control ◽  
Production Line ◽  
Control Network ◽  
Master Node ◽  
Slave Node ◽  
Automatic Production ◽  
Control Interface ◽  
Automatic Production Line

An approach of implementing CANopen real-time distributed control network was proposed in this paper. To build the network, CanFestival open source CANopen stack was used. The CANopen slave nodes were established on ARM7 LPC2478 platform with µC/OS-II real-time operating system; the CANopen master node was built on an industrial PC with Windows operating system. Test codes were added to trace the execution of a slave node, and the control interface of the master node was developed to manipulate the behaviors of slave nodes. At last, key components of time delay were analyzed and experiments were carried out in order to measure the performance of the network. Experimental results showed that the processing time of a CANopen object is about 100 µs which fulfills the need of most automatic production line.

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