A Manufacturing System for Advanced Multi-Process Manufacturing Based on Step-NC

2012 ◽  
Author(s):  
Matthieu Rauch ◽  
Jean-Yves Hascoet
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Practical Implementation ◽  
Simulation And Optimization ◽  
Industrial Manufacturing ◽  
Process Manufacturing ◽  
Cad Cam ◽  
Cnc Programming ◽  
High Level

Companies have to propose flexibility and interoperability in addition to robustness and efficiency to meet today demand of high customized products. The rise of high level object-oriented data models such as ISO 14649 — know as STEP-NC — enables manufacturing engineers to meet these requirements. In parallel, new manufacturing processes are now available. Theses processes, such as incremental sheet forming or cladding, are mature enough to be used in the industry. In addition to that, they are CNC controlled. They can be totally integrated into manufacturing data chains. It is consequently possible to use several processes on the same part and develop multi-process manufacturing approaches. Their success lies mainly upon the ability to select the best process with the best parameterization. The use of intelligent manufacturing systems is of great help to achieve this goal. The objective of this paper is to propose an intelligent manufacturing environment for multi-process manufacturing. Simulation and optimization approaches, advanced CNC programming methods are implemented in a coordinate way. Current CAD/CAM/CNC data chains limitations are overtaken by using STEP-NC. Finally, a practical implementation of such system is introduced. This experimental platform enables multi-process manufacturing with the industrial manufacturing equipment of the laboratory.

Incorporation, Programming and Use of an ABB Robot for the Operations of Palletizing and Depalletizing at an Academic Research Oriented to Intelligent Manufacturing Cell

2013 ◽  
Vol 282 ◽  
pp. 127-132 ◽  
Author(s):  
Radovan Holubek ◽  
Karol Velíšek
Keyword(s):  
Intelligent Control ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Current Trend ◽  
Academic Research ◽  
Functional Condition ◽  
Intelligent Manufacturing ◽  
Production Cycle ◽  
Time Analysis ◽  
Assembly Cell

The current trend of the final product quality increasing is affected by time analysis of the entire manufacturing process The primary requirement of manufacturing is to produce as many products as soon as possible, at the lowest possible cost, but of course with the highest quality. Such requirements may be satisfied only if all the elements entering and affecting the production cycle are in a fully functional condition. These elements consist of sensory equipment and intelligent control elements that are essential for building intelligent manufacturing systems. Intelligent manufacturing system itself should be a system that can flexibly respond to changes in entering and exiting the process in interaction with the surroundings. Philosophy that we apply to solve the problem rise from intelligent assembly cell by building on our institute of manufacturing systems and applied mechanics Essential philosophy is integrate of interconnection between palletizing- depalletizing robot and Intelligent assembly system by the means mobile robot Robotino.

Special Issue on Intelligent Manufacturing Systems

1994 ◽  
Vol 6 (6) ◽  
pp. 441-441
Author(s):  
Yoshio Mizugaki
Keyword(s):  
International Trade ◽  
Mass Production ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Intelligent Manufacturing ◽  
Manufacturing Industries ◽  
Special Issue ◽  
Production Engineering ◽  
New Paradigm ◽  
Intelligent Manufacturing Systems

Production engineering and manufacturing industries face difficulties in developing a new paradigm to cope with the post mass-production era. Consumers' preferences change very quickly and vary over a wide range of taste. A product's life cycle becomes shorter than shorter. Thus, rapid prototyping techniques have been requested, and some new concepts on manufacturing have been presented including Flexible Manufacturing System, Factory (or Flexible) Automation, Computer Integrated Manufacturing System, and Concurrent Engineering. After the termination of the cold war, many regional economies combined through international trade and dynamically evolved into global economies. Such change had significant effects on manufacturing industries and consequently on production engineering. As a new paradigm in the post mass-production era, the creation of manufacturing culture has been advocated by Prof. Hiroyuki Yoshikawa, President of University of Tokyo. It contains not only the movement towards standardization of conventional manufacturing knowledge but also the development of a global manufacturing system with use of computerization. At his advocation, the international research project of Intelligent Manufacturing Systems (IMS) was initiated. This bimonthly journal is a special issue on the IMS project and similar topics widely covering intelligent manufacturing systems. The former part of the contents is the description of the IMS project. It consists of the commentary articles quoted from the IMS news and the latest reports of IMS international test cases. The Japan IMS center publishes the IMS news and strongly supports the IMS project itself with collaboration of Ministry of International Trade and Industry of Japan (MITI). The authors of these reports are primarily enrolled in the actual responsibility to promote their projects and newly write the articles for this journal. I would like to thank the IMS center and each author for their contributions to this special issue on the IMS project. The latter part of the contents consists of the articles on the STandard for the Exchange of Product model data (STEP) and some technical papers on manufacturing. A conference report on the 2nd Japan-France Congress on Mechatronics is also provided in this issue. I would like to thank all contributors for their cooperation in creating this special issue. As can be easily seen, this issue focused on the forthcoming advancement on production engineering and manufacturing through the movement of Intelligent Manufacturing Systems. As the editor of this special issue on Intelligent Manufacturing Systems, I hope that the readers pay attention to this new movement and become involved in the near future.

An Intelligent Manufacturing System Based on WSN and RFID in Industrial Plants

2014 ◽  
Vol 513-517 ◽  
pp. 1256-1260 ◽  
Author(s):  
Zhong Wei Cui ◽  
Yong Zhao ◽  
Hui Yuan
Keyword(s):  
Radio Frequency Identification ◽  
Communication Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Performance Testing ◽  
Intelligent Manufacturing ◽  
Industrial Plants ◽  
Intelligent Manufacturing System ◽  
Frequency Identification ◽  
Real Time Information

The intelligent manufacturing systems are in networked framework via a variety of networking communication systems integrating the heterogeneous collections of manufacturing worker, material, devices and real-time information. This paper presents a intelligent manufacturing system that is implemented by Radio Frequency Identification (RFID) and Wireless Sensor Network (WSN). The system monitors and controls with the clear objective of maximizing the Quality of Service (QoS) provided by the manufacturing resources and to analyze and make decision. This study describes the design and implementation of the system developed as well as performance testing and evaluation results, in terms of system transmission delay and energy consumption.

Determining Granularity of Changeable Manufacturing Systems Using Changeable Design Structure Matrix and Cladistics

2015 ◽  
Vol 137 (4) ◽  
Author(s):  
Tarek AlGeddawy ◽  
Hoda ElMaraghy
Keyword(s):  
Case Studies ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Design Structure Matrix ◽  
Structure Matrix ◽  
Design Structure ◽  
Granularity Level ◽  
High Level ◽  
System Configurations ◽  
Derivatives Of

Changeable manufacturing systems offer a high level of adaptability and agility in response to product and market changes. They are characterized by modularity and scalability, which are derivatives of system granularity. Determining the best granularity level of a changeable system helps maximize its ability to change throughout its planned utilization horizon. A new model and two case studies are presented to show: (1) new changeability design structure matrix (CDSM) to express all planned system configurations, (2) cladistics analysis to hierarchically cluster CDSM into component modules, and (3) new granularity index (GI) to determine the best system granularity level which balances the merits of manufacturing system modularity with integration.

FMS in CIM (Flexible Manufacturing Systems in Computer Integrated Manufacturing)

Robotica ◽  
1985 ◽  
Vol 3 (4) ◽  
pp. 205-214 ◽  
Author(s):  
Paul G. Ranky
Keyword(s):  
Data Processing ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Distributed Processing ◽  
Processing System ◽  
Computer Integrated Manufacturing ◽  
Test Assembly ◽  
Cad Cam ◽  
Machining Test ◽  
High Level

Computer Integrated Manufacture (CIM) is concerned with providing computer assistance, control and high level integrated automation at all levels of the manufacturing industries, including the business data processing system, CAD, CAM and FMS, by linking islands of automation into a distributed processing system. The technology applied in CIM makes intensive use of distributed computer networks and data processing techniques, Artificial Intelligence and Database Management Systems. FMS in this aspect plays the role of a highly efficient and “ready to react to random requests” manufacturing facility (e.g. machining, test, assembly, welding, etc.) in this “total concept”. (Figure 1)

scholarly journals Developing of Industry 4.0 Applications

2017 ◽  
Vol 13 (10) ◽  
pp. 30 ◽  
Author(s):  
Juan David Contreras ◽  
Jose Isidro Garcia ◽  
Juan David Diaz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Industrial Revolution ◽  
Intelligent Manufacturing ◽  
Reference Architecture ◽  
Physical Systems ◽  
Architecture Model ◽  
Smart Factories ◽  
Correct Implementation

<p class="0papertitle">The fourth industrial revolution or industry 4.0 has become a trend topic nowadays, this standard-based strategy integrates Smart Factories, Cyber-physical systems, Internet of Things, and Internet of Service with the aim of extended the capacities of the manufacturing systems. Although several authors have presented the advantages of this approach, few papers refer to an architecture that allows the correct implementation of industry 4.0 applications using the guidelines of the reference architecture model (RAMI 4.0). In this way, this article exposes the essential characteristics that allow a manufacturing system to be retrofitting as a correct industry 4.0 application. Specifically, an intelligent manufacturing system under a holonic approach was developed and implemented using standards like FDI, AutomationML and OPC UA according to the RAMI 4.0</p>

A Comprehensive Approach of Advanced Error Troubleshooting in Intelligent Manufacturing Systems

2013 ◽  
Vol 404 ◽  
pp. 631-634 ◽  
Author(s):  
Lehel Csokmai ◽  
Ovidiu Moldovan ◽  
Ioan Constantin Tarca ◽  
Radu Tarca
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Production Systems ◽  
Error Recovery ◽  
Intelligent Manufacturing ◽  
Open Issue ◽  
New Type ◽  
Framework System

Production systems must be flexible and endowed with techniques and tools allowing an automatic recovery of errors. And so, the subject of error recovery in flexible manufacturing system is always an open issue. The objective of this work consists in proposing a new type of software framework for error troubleshooting in a flexible manufacturing system that is perceived as an Intelligent Space (iSpace). Our framework system is designed to solve the failures in the functioning of the FMS and to generate self-training from previous experience.

scholarly journals FUZZY NEURAL NETWORKS IN INTELLIGENT MANUFACTURING SYSTEMS

2014 ◽  
pp. 96-100
Author(s):  
Galina Setlak
Keyword(s):  
Neural Networks ◽  
Development Strategy ◽  
Manufacturing Systems ◽  
Quantitative Information ◽  
Intelligent Manufacturing ◽  
Fuzzy Neural Networks ◽  
Practical Implementation ◽  
Fuzzy Neural ◽  
Decision Making Processes ◽  
Product Development Strategy

This paper presents fuzzy neural networks, which are an expansion of classical neural networks. These networks can formally represent and process both the qualitative (linguistic) and quantitative information, which usually describe a complex, multidimensional systems or decision making processes. The second part presents the results of tests and a practical implementation of applications for decision support systems based on fuzzy neural networks used for strategic management and determination of product development strategy.

scholarly journals Comparing ontologies and databases: a critical review of lifecycle engineering models in manufacturing

2021 ◽  
Author(s):  
Borja Ramis Ferrer ◽  
Wael M. Mohammed ◽  
Mussawar Ahmad ◽  
Sergii Iarovyi ◽  
Jiayi Zhang ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Academic Community ◽  
Product Lifecycle Management ◽  
Industrial Manufacturing ◽  
Database Technology ◽  
Engineering Models ◽  
Quantitative Analyses ◽  
Manufacturing Applications ◽  
Lifecycle Management

AbstractThe literature on the modeling and management of data generated through the lifecycle of a manufacturing system is split into two main paradigms: product lifecycle management (PLM) and product, process, resource (PPR) modeling. These paradigms are complementary, and the latter could be considered a more neutral version of the former. There are two main technologies associated with these paradigms: ontologies and databases. Database technology is widespread in industry and is well established. Ontologies remain largely a plaything of the academic community which, despite numerous projects and publications, have seen limited implementations in industrial manufacturing applications. The main objective of this paper is to provide a comparison between ontologies and databases, offering both qualitative and quantitative analyses in the context of PLM and PPR. To achieve this, the article presents (1) a literature review within the context of manufacturing systems that use databases and ontologies, identifying their respective strengths and weaknesses, and (2) an implementation in a real industrial scenario that demonstrates how different modeling approaches can be used for the same purpose. This experiment is used to enable discussion and comparative analysis of both modeling strategies.

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