A Novel Framework in Manufacturing Automation to Implement Cyber-Manufacturing Systems

Author(s):  
David A. Guerra-Zubiaga ◽  
Kathy S. Schwaig ◽  
Mason B. Felix ◽  
John D. Calfee ◽  
Aubrey M. Sims ◽  
...  

Cyber Manufacturing system (CMS) is the future of manufacturing system integration, which can completely change the manufacturing industry in all areas to benefit everyone from the companies to the consumers. This research paper describes how this form of manufacturing can be achieved through the cooperation of several areas of digital manufacturing. The included Manufacturing Automation Framework displays how the different systems can work together to achieve successful cyber manufacturing. The framework provides the basic structure of the system needed to easily transfer the technology and ideas to various industries.

Author(s):  
Angella Thomas ◽  
David A. Guerra-Zubiaga ◽  
John Cohran

Manufacturing system integration is an important industrial and research activity to explore Next Generation Automated Systems (NGAS). Manufacturing systems has been incorporating flexible, reconfigurable, smart and intelligent features. Advances in technology and trends such Industry 4.0 will revolutionize the manufacturing industry tremendously. Important subjects in this direction are Digital Twins, Internet of Things, and Collaborative Robots among others, are integral to continue the progression to create smart and reliable manufacturing processes. This paper aims to implement a method applying these concepts in a Flexible Manufacturing System (FMS) by providing a broad view of NGAS.


2008 ◽  
Vol 392-394 ◽  
pp. 848-854
Author(s):  
Li Zhi Gu ◽  
Y. Gao ◽  
Q. Zhang

With the features of rapid response, premium quality, low cost, flexibility, technology of digital design and manufacturing is becoming the principal boost that enhances the manufacturing industry in the 21st century. There are about several hundreds of thousands of scaled manufacturing enterprises that face the upgrading challenge of production technology, organization, and management transformation with the core alteration from 2D design- conventional manufacturing to 3D digital design and digital manufacturing. Netting of three-D digital design and manufacturing system is the only way of upgrading the manufacturing industry orientating to future. An idea of scaled enterprise ally is presented, and based on the scaled enterprise ally, netting frame is put forward and constructed of the digital design and manufacturing system, expounding the functions and features of shared data platform, those of linkages of digital design, digital manufacturing, cell enterprise management, and CSG modeling technique, creation procedure of CAPP, virtual testing technique in the digital design and manufacturing systems, explaining the key considerations including interrelationships among the enterprises , resources share, information security, network security.


2019 ◽  
Vol 8 (2) ◽  
pp. 195-206 ◽  
Author(s):  
Ashutosh Singh ◽  
Mohammad Asjad ◽  
Piyush Gupta ◽  
Jahangir Quamar

The traditional structure of machines (such as lathe, milling, shaper, slotter, drilling and planer) has become questionable because of the modular concepts (such as modularity, scalability, convertibility, mobility and flexibility) and reconfiguration becomes a promising approach towards modular manufacturing machines, in which manufacturing techniques are independent of changes. In this area, reconfigurable machine tool (RMT) forms a new class of modular machines in current manufacturing scenario where the manufacturing industry put a strong pressure on good quality and price reduction. The capabilities of the machines tool and manufacturing systems in reconfigurable manufacturing system (RMS) change with each reconfiguration (both software and hardware modules). In this case, an approach is presented for reconfiguration of horizontal shaper machine for developing the modular shaper cum slotter machine in a manufacturing system by adding some auxiliary (like Scott Russel mechanism) and some basic modules and the reconfiguration features of traditional shaper and slotter machine are also discussed. The proposed approach is illustrated with a figure, which has been designed on 3-D design tool (solid-works software platform). It is expected that, this work will help designers and practising engineers by making them aware of the reconfiguration mechanisms on traditional shaper machine, which have become a necessity for the very survival of manufacturing by lowering the operational costs.


Author(s):  
Mangey Ram ◽  
Nupur Goyal

Manufacturing systems are increasingly becoming automated and complex in nature. Highly reliable and flexible manufacturing systems (FMSs) are the necessity of manufacturing industries to fulfill the increasing customized demands. Worldwide, FMSs are used in industries to attain high productivity in production environments with rapidly and continuously changing manufactured goods structures and demands. Reliability prediction plays a very significant role in system design in the manufacturing industry, and two crucial issues in the prediction of system reliability are failures of equipment and system configuration. This novel work presents a stochastic model to analyze the performance of an FMS through its reliability characteristics, in the concern of its equipment. To improve the reliability of FMS, determine the sensitivity of the reliability measures of FMS. FMS consists of many components such as machine tools like CNC, automatic handling and material storage, controller and robot for serving load. The designed system is studied by using the Markov process, supplementary variable technique, Laplace transformation, coverage factor and Gumbel–Hougaard family copula to obtain various reliability measures. For some realistic approach, particular cases and graphical illustrations are also obtained.


2013 ◽  
Vol 845 ◽  
pp. 770-774 ◽  
Author(s):  
Seyed Mojib Zahraee ◽  
Milad Hatami ◽  
J.M. Rohani ◽  
H. Mihanzadeh ◽  
Mohammadreza Haghighi

In the manufacturing industry, managers and engineers are seeking to find methods in order to eliminate the common problems in manufacturing systems such as bottlenecks and waiting times. This is because that all of these kinds of problems impose extra cost to the companies. In addition, manufacturing companies are striving to sustain their competitiveness by improving productivity, efficiency and quality of manufacturing industry for instance high throughput and high resource utilization. The paper concentrates on the application of computer simulation to analysis manufacturing system in order to improve the productivity. Therefore, this study introduces a color manufacturing line as a case study and the basic application of arena 13.9 software. The goal of this paper is to improve the productivity and efficiency of the production line by using computer simulation. To achieve this goal, first the basic model of the current situation of production line was simulated. Second, three different alternatives were simulated and modified to find the best scenario based on the maximum productivity and minimum total cost.


2013 ◽  
Vol 329 ◽  
pp. 172-175
Author(s):  
Jin Feng Wang ◽  
Guang Feng Zhang ◽  
Xian Zhang Feng

For the rigid automatic line, although its production efficiency is high, but the flexible is less in the machining process, the machine and the assembly line need be shut down to adjust or replace for machine tools, jigs, tools, and tooling equipment, etc. When the work pieces for the machining is changed. It caused a heavy workload, wasting a lot of time. Flexible Manufacturing Systems consisted of unified control system, material handling system and a set of digital control processing equipment; it is the automation machinery manufacturing system to adapt the processing object transform. It has become one of the important means of manufacturing industry to obtain the advantages of market competitiveness. This paper gives the composition, algorithm and application of learning system concept, composition, and classification, characteristics of the flexible manufacturing system, the development overview and its application are induced in this paper.


2011 ◽  
Vol 201-203 ◽  
pp. 1741-1747
Author(s):  
Kun Zheng ◽  
Dun Bing Tang ◽  
Wen Bin Gu

The manufacturing industry must have manufacturing systems that deal with the agile response to the appearance and changing conditions.As biological organisms are quite capable of adapting to environmental changes and stimulus, bio-inspired concepts have been recognized much suitable for adaptive manufacturing system control. This paper, therefore, proposes a NeuroEndocrine-Inspired Manufacturing System (NEIMS) using the potential field concept. The proposed NEIMS control architecture is inherited from neuro-control and hormone-regulation principles to agilely deal with the frequent occurrence of unexpected disturbances at the shop floor level. Hormone-regulation can impel system to be equilibrium through a potential field approach. From the cybernetics point of view, the control model of NEIMS has been described in detail. And a test bed has been set up to enable the NEIMS simulation.


Author(s):  
Sílvia Ribeiro-Carvalho ◽  
RBD Pereira ◽  
Ana Horovistiz ◽  
J. Paulo Davim

Digital manufacturing is a necessity to establishing a roadmap for the future manufacturing systems projected for the fourth industrial revolution. Intelligent features such as behavior prediction, decision-making abilities, and failure detection can be integrated into machining systems with computational methods and intelligent algorithms. This review reports on techniques for Ti6Al4V machining process modeling, among them numerical modeling with finite element method (FEM) and artificial intelligence-based models using artificial neural networks (ANN) and fuzzy logic (FL). These methods are intrinsically intelligent due to their ability to predict machining response variables. In the context of this review, digital image processing (DIP) emerges as a technique to analyze and quantify the machining response (digitization) in the real machining process, often used to validate and (or) introduce data in the modeling techniques enumerated above. The widespread use of these techniques in the future will be crucial for the development of the forthcoming machining systems as they provide data about the machining process, allow its interpretation and quantification in terms of useful information for process modelling and optimization, which will create machining systems less dependent on direct human intervention.


Manufacturing ◽  
2002 ◽  
Author(s):  
A. A. Tseng ◽  
J. Q. Yan ◽  
X. M. Fan ◽  
D. Z. Ma

Advances in manufacturing systems have led to the increasing importance of the information processing techniques. Many tasks in manufacturing have been transferred from workshops to computers, and now large portions of activities in manufacturing systems are presently considered for being carried out as information processing activities within computers. As a result, system architectures and virtual reality have emerged as necessary components in today’s global manufacturing industry in an attempt to enhance both process and production operations. A system structure and related design methodology of a general virtual manufacturing system is proposed here. Prototype software based on the proposed system has been developed. The system was developed on a network-based platform, which can integrate with wide variety of software. Applications of the proposed system to virtual product design of oil pumps are then presented to demonstrate its feasibility and versatility.


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