Automation of Microwave Processing of Graphite / Epoxy Composite Materials using an Expert Systems Technique

1992 ◽  
Vol 269 ◽  
Author(s):  
Valerie Adegbite ◽  
Martin Hawley ◽  
Dave Decker ◽  
Jon Sticklen
Keyword(s):  
Composite Materials ◽  
Expert Systems ◽  
Major Elements ◽  
Process Models ◽  
Thermal Curing ◽  
Monitoring And Control ◽  
Microwave Curing ◽  
Selective Heating ◽  
Cure Monitoring ◽  
And Control

ABSTRACTMicrowave curing of composite materials is a novel technology which can be an alternative to conventional thermal curing and has many advantages over thermal curing, i.e, fast and direct heating, selective heating, and controllability. Currently, the existing technology is more empirical and cannot be easily described by traditional process models. One key enabling step for realizing the advantages of the microwave curing technology is a capability for utilizing all the available existing knowledge in a concise manner. The major elements of a control system which utilizes traditional control techniques and (non-traditional) expert systems techniques in a real time microwave cure monitoring and control is discussed.

Managing Corporate E-Mail Systems

2011 ◽  
pp. 254-281
Author(s):  
Aidan Duane ◽  
Patrick Finnegan
Keyword(s):  
Major Elements ◽  
Electronic Business ◽  
Monitoring And Control ◽  
Negative Effects ◽  
Multiple Case ◽  
And Control ◽  
Mail System ◽  
E Mail

As the criticality of e-mail for electronic business activity increases, adhoc e-mail implementation, prolonged management neglect and user abuse of e-mail systems have generated negative effects. However, management’s ability to rectify problems with e-mail systems is hindered by our understanding of its organisational use. Research on e-mail systems is often dated and based on quantitative methodologies that cannot explain the interaction between various controls in organisational settings. Updating our understanding of the organisational aspects of e-mail systems utilizing qualitative methods is necessary. This chapter presents a multiple case study investigation of e-mail system monitoring and control. The study examines the interaction between key elements of e-mail control identified by previous researchers and considers the role of such controls at various implementation phases. The findings reveal eight major elements to be particularly important in monitoring and controlling e-mail systems within the organisations studied. These are: (1) form a cross-functional e-mail system management team; (2) implement and regularly update e-mail management software; (3) formulate a detailed and legally sound e-mail policy; (4) engage in structured e-mail system training; (5) create and maintain ongoing awareness of e-mail policy; (6) engage in a process of hybrid feedback and control-based e-mail monitoring; (7) firmly enforce discipline in accordance with the e-mail policy; and (8) conduct regular reviews and updates of the e-mail management programme.

scholarly journals Microwave Curing Characteristics of CFRP Composite Depending on Thickness Variation Using FBG Temperature Sensors

Materials ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1720 ◽  
Author(s):  
Heonyoung Kim ◽  
Donghoon Kang ◽  
Moosun Kim ◽  
Min Hye Jung
Keyword(s):  
Composite Materials ◽  
Thickness Variation ◽  
Specimen Thickness ◽  
Curing Time ◽  
Microwave Curing ◽  
Cure Monitoring ◽  
Curing Characteristics ◽  
Cfrp Composite ◽  
Curing Cycle

Microwave curing technology, which has seen increased commercialization recently due to its ability to cut the curing time and ensure high quality, requires an understanding of the curing characteristics of composite materials of varying thickness. Therefore, this study aimed to perform cure monitoring to evaluate the effects of variations in thickness on the quality of microwave curing. For this study, a fiber Bragg grating sensor was used to measure temperature changes in specimens during the curing cycle for cure monitoring which is generally used for optimization of the curing cycle; then, the time taken for temperature increase and overshoot of the specimen, and the times at which the specimen thickness varied, were quantitatively evaluated. Testing confirmed that microwave curing reduced the curing time in the sections in which the temperature rose; also, the specimen thickness caused overshoot of up to approximately 40 °C at the side, which can affect the curing quality of the composite materials. Furthermore, voids were observed on the side of all specimens. The results indicated that, in order to improve the quality of microwave curing of composite materials, the curing cycle should be optimized by considering the characteristics of the microwave curing equipment.

Monitoring and Control of Drilling Utilizing Continuously Updated Process Models

2006 ◽  
Author(s):  
F.P. Iversen ◽  
E. Cayeux ◽  
E. W. Dvergsnes ◽  
J.E. Gravdal ◽  
E. H. Vefring ◽  
...  
Keyword(s):  
Process Models ◽  
Monitoring And Control ◽  
And Control

Risk Analysis, Fuzzy Logic and River Basin Management

1984 ◽  
Vol 16 (5-7) ◽  
pp. 579-585 ◽  
Author(s):  
P W Jowitt
Keyword(s):  
Expert Systems ◽  
Set Theory ◽  
River Basin Management ◽  
Process Models ◽  
Control Measures ◽  
Operational Control ◽  
Basin Management ◽  
Identification Methods ◽  
Control Robustness ◽  
And Control

The link between the need for operational control and the mathematical modelling of badly-defined environmental systems is examined. It is argued that the robustness of process models and control measures is more important than their sophistication. Because of the nature of such systems, control robustness can be effected in many cases through the exercise of experience and acquired expertise, formalised through expert systems and fuzzy set theory. It is argued that for the same reason, there is a duality between control and system identification and that classical identification methods should be tempered by the application of fuzzy sets and expert systems theory.

Steel Property and Process Models for Quality Control and Optimization

2013 ◽  
Vol 762 ◽  
pp. 301-306
Author(s):  
Satu Tamminen ◽  
Henna Tiensuu ◽  
Ilmari Juutilainen ◽  
Juha Röning
Keyword(s):  
Steel Industry ◽  
Control Parameter ◽  
Industrial Applications ◽  
Process Models ◽  
Monitoring And Control ◽  
Event Prediction ◽  
Process Monitoring And Control ◽  
Steel Property ◽  
And Control

High quality and low variability in the properties of the products are the main goals in manufacturing. The quality of the product is verified by testing different properties. It can be improved with models developed for event prediction. This paper presents with application examples the modelling steps required for effective process modelling. First, the pre-processing and feature extraction phase are illustrated. The modelling phase concentrates especially on the heteroscedasticity problem that is commonly present in industrial applications. The process monitoring and control parameter optimization based on these models is presented, as well as the solution for the lack of observations for the dependent variable. Many of the developed models are in daily use in different process states in steel industry. They enable the design of new products and the analysis of the effects of different process parameters on variability reduction. The proposed methods are application independent.

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