scholarly journals Improved Design of Steel Pipe Transfer Device Turnover Mechanism

2021 ◽  
Vol 2133 (1) ◽  
pp. 012040
Author(s):  
Wanling Li
Keyword(s):  
Transfer Process ◽  
Production Line ◽  
Manufacturing Industry ◽  
Steel Pipe ◽  
Normal Operation ◽  
Pipe Production ◽  
Automatic Production ◽  
Improved Design ◽  
Pipe Manufacturing ◽  
Transfer Device

Abstract In the steel pipe manufacturing industry, the steel pipe manufacturing process is completed by multiple processes. And on the automatic production line, the transfer process between steel pipe working procedure is realized by the steel pipe transfer device. The unreasonable structural design of related parts in the steel pipe transfer device will result in the failure of the steel pipe transfer process to proceed smoothly, which will directly affect the normal operation of steel pipe production line, resulting in steel pipe productivity’s decrease and causing losses to steel pipe manufacturers. This article proposes an improved design method of the turnover mechanism of transfer device between steel pipe manufacturing processes.

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 Productivity Analysis Of Filling Machine With The Objective Matrix (OMAX) Method

2021 ◽  
Vol 6 (1) ◽  
pp. 32-39
Author(s):  
Katrin Sinaga ◽  
Kevin Lie ◽  
Nico Williams ◽  
Theresia Sunarni
Keyword(s):  
Production Line ◽  
Manufacturing Industry ◽  
Working Hours ◽  
Productivity Analysis ◽  
Productivity Measurement ◽  
Productivity Level ◽  
Increase In Productivity ◽  
Productivity Ratio

A Factory is a manufacturing industry that produces tea drinks in cups. A Factory is also inseparable from problems related to machine/equipment productivity. Based on the results of observations made at A Factory part of the production line that there is often a sudden stop of the production process. The discontinuation will affect the quality of the product expected and the production targets to be achieved. The problem was discussed in this research is how much the productivity level of the filling production department is, how much the production effectiveness, effective working hours, the number of defective products, and machine downtime criteria. The productivity measurement method used is the Objective Matrix (OMAX) method, so the steps of this study refer to OMAX steps, which is the criteria determination/productivity ratio of the production line, the calculation of the productivity ratio value, the calculation of the initial standard score (score 3), The determination of the goal (score 10) and the lowest score (score 0), the determination of weight, the calculation of value/criteria value, the determination of productivity value for each period, determination of index percentage. With the OMAX method, it can be seen that in period 11 (compared to period 10) there was an increase in productivity, this can be seen because the IP value (Index of Performance) which is positive (+) is 27.79 and there is an increase in the value of the calculation at the time of measurement (current) from 383.36 to 300. This increase was due to an increase in the value of all criteria.

scholarly journals Design and Digital Manufacturing: an ergonomic approach for Industry 4.0

2016 ◽  
Author(s):  
Elena Laudante ◽  
Francesco Caputo
Keyword(s):  
Production Process ◽  
Virtual Environment ◽  
Production Line ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Continuous Process ◽  
Design Environment ◽  
Human Machine Interaction ◽  
Holistic View ◽  
Assembly Tasks

The contribution proposes innovative methods for design and ergonomic configuration of tools, equipment and manual workplaces for automobile assembly tasks, in order to increase the worker’s welfare and the system’s performance by improving general safety conditions. Developed activities are part of the research project “DEWO – Design Environment for WorkPlace Optimization”, financed by Italian Government to the Second University of Naples. The aim of this project is to identify new methods for optimization of assembly tasks  in a virtual environment in terms of overall integration among materials management, working tasks organization and layout, starting from the principles of "WorkPlace Organization" and the modern theories of "Lean Production ". The manufacturing industry is heading to the ever more pushed use of digital technologies in order to achieve very dynamic production environments and to be able to develop continuous process and product innovations to fit into the so called Fourth Industrial Revolution, Industry 4.0. The main goal of Industry 4.0 is to “rethink” companies through the use of digital, to reconsider the design approach and to monitor the production process in real time. The research addresses the evolution of innovation 4.0 in relation to the discipline of design, where the management of knowledge in the production process has led to the strengthening and improvement of tangible goods. Starting by current ergonomic analysis models and innovative approaches to the process of industrial production line, the manufacturing processes in the virtual environment were defined and optimized with the use of innovative 3D enjoyment technologies. The constant interaction among the different disciplines of design, engineering and occupational medicine, enables the creation of advanced systems for simulating production processes based on virtual reality and augmented reality, mainly focused on the needs and requirements of the workers on a production line where it is possible to bring out the interaction between real and virtual factory (Cyber-Physical System). The objective is to define new models of analysis, of development and testing for the configuration of ergonomic processes that improve and facilitate the human-machine interaction in a holistic view, in order to protect and enhance human capital, transferring the experiences and knowledge in the factory system, key factors for the company and for the sustainability of workers welfare levels.DOI: http://dx.doi.org/10.4995/IFDP.2016.3297

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.

scholarly journals Implementation of Digital Twin for Engine Block Manufacturing Processes

2020 ◽  
Vol 10 (18) ◽  
pp. 6578
Author(s):  
Roman Bambura ◽  
Marek Šolc ◽  
Miroslav Dado ◽  
Luboš Kotek
Keyword(s):  
Real Time ◽  
Production Line ◽  
Manufacturing Industry ◽  
Real Life ◽  
Engine Block ◽  
Manufacturing Processes ◽  
Production Plant ◽  
Implementation Framework ◽  
Digital Twin ◽  
Programmable Logic Control

The digital twin (DT) is undergoing an increase in interest from both an academic and industrial perspective. Although many authors proposed and described various frameworks for DT implementation in the manufacturing industry context, there is an absence of real-life implementation studies reported in the available literature. The main aim of this paper is to demonstrate feasibility of the DT implementation under real conditions of a production plant that is specializing in manufacturing of the aluminum components for the automotive industry. The implementation framework of the DT for engine block manufacturing processes consists of three layers: physical layer, virtual layer and information-processing layer. A simulation model was created using the Tecnomatix Plant Simulation (TPS) software. In order to obtain real-time status data of the production line, programmable logic control (PLC) sensors were used for raw data acquisition. To increase production line productivity, the algorithm for bottlenecks detection was developed and implemented into the DT. Despite the fact that the implementation process is still under development and only partial results are presented in this paper, the DT seems to be a prospective real-time optimization tool for the industrial partner.

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