Improving the annealing regime for flat glass on industrial production lines

1978 ◽  
Vol 35 (12) ◽  
pp. 717-719
Author(s):  
N. V. Lalykin ◽  
A. S. Makhnavetskii ◽  
N. N. Troshin

2020 ◽  
Vol 19 (04) ◽  
pp. 855-867
Author(s):  
Xiangru Wang ◽  
Wei Song ◽  
Tao Xue ◽  
He Tian

With the development of electronics, mechanical automation, computer and other related disciplines, and the improvement of product efficiency and quality in modern industry, welding robots are born and play an increasingly important role in industrial production lines. 6R welding robot is most commonly used in industrial production lines, so the research on 6R welding robot has practical application values. In this paper, MS165 Yaskawa robot is selected as the target robot. SolidWorks software is used to establish the three-dimensional model of Yaskawa robot, which is imported into Adams. Dynamics analyses of the rigid–flexible coupling system of 6R spot welding robot are studied by powerful dynamic simulation functions of Adams. The maximum stress position of the spot-welding robot working under load is also studied, and the maximum stress curve is obtained.



Author(s):  
Erald Piperi ◽  
Ilo Bodi ◽  
Dea Sinoimeri ◽  
Tatjana Spahiu ◽  
Jorgaq Kaçani


2014 ◽  
Vol 536-537 ◽  
pp. 1654-1657 ◽  
Author(s):  
Paul Ciprian Patic ◽  
Lucia Pascale ◽  
Gabriela Măntescu

In this paper one proposed to exemplify a modern solution of an automatic control of industrial production lines. The necessity to align at the requirements of industrial competition has led to a degree of automation of increasingly advanced that the human intervention into the processes is minimal. A high productivity means lower flow interruptions as manufacturing, so the systems which control these lines must operate without errors. This can be done only by testing control programs and monitoring automation systems and, also, through simulate the manufacturing process.



2018 ◽  
Vol 66 (4) ◽  
pp. 320-330 ◽  
Author(s):  
Claudio Santo Longo ◽  
Cesare Fantuzzi

Abstract Simulation and optimization techniques are the pillars of for the Virtual Commissioning of modern digital factories. In particular, industrial production lines are complex systems formed by a set of machines that have several cross-dependencies (i. e., the production efficiency of a machine impact deeply performance figures of the others and affects the whole line productivity). The simulation and optimization of production lines is an integrated approach that allows finding efficiently optimized production parameters. This paper presents an example of application of the simulation to the virtual design and optimization of an industrial production line.





2014 ◽  
Vol 1039 ◽  
pp. 603-608
Author(s):  
Hai Dong Ding ◽  
Ming Li ◽  
Zhu Lei Feng

With the vigorous development of the market of building glass, flat glass products’ deep processing is more and more diversified, enterprises become highly request for the production lines, especially the glass piling machinery. As one of the important equipment in glass production line, glass piling machinery has a vital role to ensure production efficiency, safety and quality. This article is based on modular design technology, combining the theory of reconfigurable, completed the modular design, the series planning and interface design, realized the reconfigurable modular function of the glass stacker. Make glass stacker can through the selection and combination of modules, constitute the different products quickly, to meet the different needs of the market.



2018 ◽  
Vol 157 ◽  
pp. 04004
Author(s):  
Martin Svoboda ◽  
Josef Soukup ◽  
Milan Sapieta

The article deals with improving the quality of the cut flat glass. The aim of the study was to determine mechanism of origin temporary and permanent stress in the glass. This affects the quality of the cut flat glass. Of the commonly measured process parameters were adjusted following an evaluation, better cooling of flat glass between the furnace and the point of cutting into a prescribed format glass. The results are applicable for flat glass production lines.



2018 ◽  
Author(s):  
Pietro P. Altermatt ◽  
Yang Yang ◽  
Yun Sheng ◽  
Daming Chen ◽  
Yifeng Chen ◽  
...  




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