Angular Distortion Due to Fillet Welding and Its Straightening

2000 ◽  
Vol 16 (02) ◽  
pp. 90-96
Author(s):  
Yasuhisa Okumoto ◽  
Hideharu Yanai ◽  
Shin-ich Matsuzaki
Keyword(s):  
Production System ◽  
Production Line ◽  
Dimensional Accuracy ◽  
Fem Analysis ◽  
Ship Hull ◽  
Angular Distortion ◽  
Welding Deformation ◽  
Skilled Workers ◽  
Automated Production ◽  
Press Roller

In order to increase the productivity of shipbuilding to respond to current situations such as decreasing numbers of skilled workers and aging of workers in the shipyard, mechanization and robotization have been accelerated. To apply them effectively, the current fabrication and assembling system of ship hull has to be reviewed so that the dimensional accuracy of the hull block and its components increase particularly. Accordingly, the authors had developed an "accurate production system" for the fabrication and assembly of flat block, which was based on advanced accuracy technology and modem automated machines. This report concerns the deformation due to the filet welding of longitudinals on a skin plate and its straightening; the estimation of welding deformation, especially angular distortion, and its straightening method using a press roller which was developed newly in this automated production line. In order to clarify the power of the straightening machine, non-linear FEM analysis was carried out.

Overall equipment effectiveness (OEE) evaluation for an automated ice cream production line

2019 ◽  
Vol 69 (5) ◽  
pp. 1009-1032 ◽  
Author(s):  
Panagiotis H. Tsarouhas
Keyword(s):  
Operations Management ◽  
Production System ◽  
Production Line ◽  
Production Systems ◽  
Ice Cream ◽  
Management Tools ◽  
Content Type ◽  
Pareto Analysis ◽  
Automated Production ◽  
Working Day

Purpose As overall equipment effectiveness (OEE) is a metric to estimate equipment effectiveness of production systems, the purpose of this paper is to identify strategic management tools and techniques based on OEE assessment of the ice cream production line. Design/methodology/approach This paper presents the collection and the analysis of data for ice cream production under real working conditions. The data cover a period of eight months. A framework process to improve the OEE of an automated production system was proposed. Six major stoppage losses, i.e. equipment failure, setup and adjustment, idling and minor stoppage, reduced speed, defects in the process, and reduced yield, were examined with the help of Pareto analysis. In addition, the actual availability (A), performance efficiency (PΕ) and quality rate (QR) measures, together with the complete OEE for each working day, week and month of the production line were shown. Findings The main goal of the study is to identify major stoppage losses, in order to examine and improve the overall equipment efficiency (OEE) of the ice cream production line through the application of an adequate management, i.e. TPM approach. Based on the obtained results, maintenance management strategy and production planning have been suggested to improve their maintenance procedures and the productivity as well. Originality/value The proposed method can be applied to each automated production system. The main benefits of this method are the improvement of productivity, quality enhancement of products, the reduction of sudden breakdowns and the cost of maintenance. Moreover, the analysis provides a useful perspective and helps managers/engineers make better decisions on the operations management of the line, and suggestions for improvement were proposed and will be implemented accordingly.

Basic Studies for the Automatic Fabrication of Welded Built-up Beams

1995 ◽  
Vol 11 (02) ◽  
pp. 111-116 ◽  
Author(s):  
Chang Doo Jang ◽  
Seung II Seo
Keyword(s):  
Welding Current ◽  
Simulation Method ◽  
Welding Deformation ◽  
Skilled Workers ◽  
Fabrication Cost ◽  
Current Voltage ◽  
Fabrication Procedure ◽  
Increase In Productivity ◽  
Study Techniques ◽  
Basic Studies

In the fabrication of welded built-up beams, longitudinal deformation occurs due to welding. As it prevents improvement of productivity and quality, heating for straightening the welding deformation is necessary. Therefore, control of the deformation due to welding and heating is the base for the automatic fabrication of built-up beams. In this study, techniques to control the deformation are developed. Based on the simple formulas for estimation of the deformation proposed in the previous study, a procedure to calculate the required reverse curvatures to straighten the welding deformation is presented and a method to simulate the fabrication procedure is developed. From the simulation of the fabrication procedure it is concluded that, in heating for straightening, deep-heated depth is more economical than wide-heated breadth in yielding the same curvature. To apply the results obtained to automatic fabrication, welding and heating parameters such as welding current, voltage and speed, and heated depth and breadth are selected and fabrication cost is expressed by the parameters, which are optimized under the constraints. According to the optimized results, the higher welding current reduces the fabrication cost. Results obtained through executing the simulation method described herein can be used in the guidance of welding and heating procedures instead of depending on the experience of skilled workers--and this can contribute to an increase in productivity and quality.

scholarly journals Portable Safety System using Radar for Flexible Human-Robot-Collaboration in a Real Semi-automated Production Line

2021 ◽  
Author(s):  
Christian Bergner ◽  
Ferhat Akan ◽  
Ronald Schmidt-Vollus ◽  
Peter Heß ◽  
Christian Deuerlein
Keyword(s):  
Production Line ◽  
Safety System ◽  
Automated Production ◽  
Human Robot Collaboration

scholarly journals DESIGN AND REALIZATION OF A FEEDER PART OF THE AUTOMATED PRODUCTION LINE

2020 ◽  
Vol 2 (50) ◽  
pp. 53-60
Author(s):  
B. Fecko ◽  
◽  
T. Vince ◽  
L. Darák ◽  
◽  
...  
Keyword(s):  
Production Line ◽  
Automated Production

scholarly journals Distribution of Intelligent Automated Production System - A Clustering Approach

1995 ◽  
Vol 28 (23) ◽  
pp. 423-427
Author(s):  
Μ. Staroswiecki ◽  
Μ. Bayart ◽  
J. Akaichi
Keyword(s):  
Production System ◽  
Automated Production ◽  
System A ◽  
Clustering Approach

Assessment of variance & distribution in data for effective use of statistical methods for product quality prediction

2018 ◽  
Vol 66 (4) ◽  
pp. 344-355 ◽  
Author(s):  
Iris Weiß ◽  
Birgit Vogel-Heuser
Keyword(s):  
Data Mining ◽  
Product Quality ◽  
Statistical Methods ◽  
Analysis Of Variance ◽  
Production System ◽  
Production Systems ◽  
High Potential ◽  
Quality Prediction ◽  
Automated Production ◽  
Effective Use

AbstractData mining in automated production systems provide high potential to increase the Overall Equipment Effectiveness. Nevertheless, data of such machines/plants include specific characteristics regarding the variance and distribution of the dataset. For modelling product quality prediction, these characteristics have to be analysed to interpret the results correctly. Therefore, an approach for the analysis of variance and distribution of datasets is proposed. The evaluation of this approach validates the developed guidelines, which identify the reasons for inconsistent prediction results based on two different datasets of the same production system.

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