A Fuzzy Optimization Algorithm for Blow Moulding Process

A Fuzzy Optimization Algorithm for Blow Moulding Process PDF Author: Yeh-Liang Hsu
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

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Book Description

A Fuzzy Optimization Algorithm for Blow Moulding Process

A Fuzzy Optimization Algorithm for Blow Moulding Process PDF Author: Yeh-Liang Hsu
Publisher:
ISBN:
Category :
Languages : en
Pages : 12

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Book Description


Advances in Blow Moulding Process Optimization

Advances in Blow Moulding Process Optimization PDF Author: Andres Garcia-Rejon
Publisher: iSmithers Rapra Publishing
ISBN: 9781859570500
Category : Technology & Engineering
Languages : en
Pages : 122

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Book Description
This report provides a review of the development and current understanding of blow moulding technology. The history and technology of blow moulding are reviewed and details are given on the research carried out in order to better understand the fundamental phenomena affecting the different stages of the process, and their interdependence in controlling final part characteristics. An additional indexed section containing several hundred abstracts from the Rapra Polymer Library database provides useful references for further reading.

Performance Optimization of Extrusion Blow Molded Parts Using Soft Fuzzy Neural-Taguchi Method and Genetic Algorithm

Performance Optimization of Extrusion Blow Molded Parts Using Soft Fuzzy Neural-Taguchi Method and Genetic Algorithm PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 34

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Agent Supported Cooperative Work

Agent Supported Cooperative Work PDF Author: Yiming Ye
Publisher: Springer Science & Business Media
ISBN: 1441992006
Category : Computers
Languages : en
Pages : 309

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Book Description
Improvements in computer networking have heralded great expectations for computer-mediated distributed work. However, experience has revealed that, as information flow improves, a central problem for distributed workers is the administration, management and control of that information. Research into Computer Supported Cooperative Work (CSCW) investigates design methods and technologies for the support of collaboration, communication and coordination of distributed group work, both within and among organizations. In tandem with this focus on the support of distributed communication and collaboration, there have been exciting developments in the fields of Intelligent Agents and Distributed Artificial Intelligence (DAI), notably in the concepts, theories and deployment of intelligent agents as a means of distributing computer-based problem solving expertise. The paradigm of multi-agent systems forms a proposed basis for the design of CSCW architectures, the support of CSCW operations and for addressing some of the problems of cooperative working. The application of a multi-agent approach to CSCW makes information exchange among the participants easier by delivering support to the participants, assisting workflows and procedures, and providing convenient user interfaces to CSCW systems. Furthermore, the ideas inherent in such an approach are also applicable to other domains, such as support for interactive learning. Organizations that seek to exploit the advantages offered through CSCW will benefit from the integration of agents in the management and use of their corporate knowledge, especially with the advancement of wired or wireless networking, pervasive computing, and other information technologies. Agent Supported Cooperative Work describes the state of the art in this exciting new area, covering both theoretical foundations and practical applications of ASCW. It is the first book explicitly dedicated to ASCW, bringing together contributions from international experts in the field.

Proceedings of the ... ASME Design Engineering Technical Conferences

Proceedings of the ... ASME Design Engineering Technical Conferences PDF Author:
Publisher:
ISBN:
Category : Computer-aided design
Languages : en
Pages : 1188

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Proceedings of the ASME Applied Mechanics Division

Proceedings of the ASME Applied Mechanics Division PDF Author:
Publisher:
ISBN:
Category : Mechanics, Applied
Languages : en
Pages : 754

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Optimization of Extrusion Blow Molding Processes Using Soft Computing and Taguchi's Method

Optimization of Extrusion Blow Molding Processes Using Soft Computing and Taguchi's Method PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 58

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Book Description


Injection Molding Process Control, Monitoring, and Optimization

Injection Molding Process Control, Monitoring, and Optimization PDF Author: Yi Yang
Publisher: Carl Hanser Verlag GmbH Co KG
ISBN: 1569905932
Category : Technology & Engineering
Languages : en
Pages : 417

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Book Description
Improvement of injection molding processes remains a topic of great interest in both industry and research institutions. This book introduces the analysis of the molding process from a systems technology point of view. It is divided into four parts: the first part provides general background to introduce the injection molding process, the second covers the control of the process, the third is on the monitoring technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and experimental tests.

Application of Thermography for the Optimization of the Blow Moulding Process

Application of Thermography for the Optimization of the Blow Moulding Process PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description


Advanced Multiresponse Process Optimisation

Advanced Multiresponse Process Optimisation PDF Author: Tatjana V. Šibalija
Publisher: Springer
ISBN: 3319192558
Category : Technology & Engineering
Languages : en
Pages : 309

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Book Description
This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.