Hybrid representations of real-time control rules for manufacturing process control in electronics manufacture

2003 ◽  
Author(s):  
A.A. West ◽  
R. Chandraker ◽  
D.J. Williams ◽  
D.J. Mulvaney
Keyword(s):  
Process Control ◽  
Real Time ◽  
Manufacturing Process ◽  
Real Time Control ◽  
Time Control ◽  
Control Rules ◽  
Manufacturing Process Control

scholarly journals Robust Optimization and Kriging Metamodeling of Deep-Drawing Process to Obtain a Regulation Curve of Blank Holder Force

Metals ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 319
Author(s):  
Maria Emanuela Palmieri ◽  
Vincenzo Domenico Lorusso ◽  
Luigi Tricarico
Keyword(s):  
Real Time ◽  
Deep Drawing ◽  
Manufacturing Process ◽  
Desirability Function ◽  
Drawing Process ◽  
Real Time Control ◽  
Blank Holder ◽  
Deep Drawing Process ◽  
Time Control ◽  
Kriging Metamodeling

In recent decades, the automotive industry has had a constant evolution with consequent enhancement of products quality. In industrial applications, quality may be defined as conformance to product specifications and repeatability of manufacturing process. Moreover, in the modern era of Industry 4.0, research on technological innovation has made the real-time control of manufacturing process possible. Moving from the above context, a method is proposed to perform real-time control of a deep-drawing process, using the stamping of the upper front cross member of a car chassis as industrial case study. In particular, it is proposed to calibrate the force acting on the blank holder, defining a regulation curve that considers the material yield stress and the friction coefficient as the main noise variables of the process. Firstly, deep-drawing process was modeled by using commercial Finite Element (FE) software AutoForm. By means of AutoForm Sigma tool, the stability and capability of deep-drawing process were analyzed. Numerical results were then exploited to create metamodels, by using the kriging technique, which shows the relationships between the process parameters and appropriate quality indices. Multi-objective optimization with a desirability function was carried out to identify the optimal values of input parameters for deep-drawing process. Finally, the desired regulation curve was obtained by maximizing total desirability. The resulting regulation curve can be exploited as a useful tool for real-time control of the force acting on the blank holder.

Developing Fuzzy Control Irrigate System Based on PLC

2014 ◽  
Vol 721 ◽  
pp. 261-264
Author(s):  
Lei Xiao ◽  
Li Li ◽  
Xiao Long Wu
Keyword(s):  
Computer Simulation ◽  
Fuzzy Control ◽  
Real Time ◽  
Programmable Logic Controller ◽  
Fuzzy Rules ◽  
Programmable Logic ◽  
Real Time Control ◽  
The Real ◽  
Time Control ◽  
Control Rules

This paper will describe that the fuzzy control is used to realize irrigate real-time control. And some reasonable fuzzy rules are found by computer simulation in MATLAB. Then the real-time irrigate will be applied by fuzzy control rules with Programmable Logic Controller (PLC) circuit. At last, writer made a conclusion that debugging greenhouse seedlings is well to meet the requirements of greenhouse.

A System Framework of Dynamic Coupled Quality Control Based on Complex Network

2013 ◽  
Vol 711 ◽  
pp. 773-778 ◽  
Author(s):  
Guang Zhou Diao ◽  
Li Ping Zhao ◽  
Yi Yong Yao
Keyword(s):  
Quality Control ◽  
Real Time ◽  
Manufacturing Process ◽  
Autocorrelation Analysis ◽  
Real Time Control ◽  
System Framework ◽  
Time Control ◽  
Monitoring Technique ◽  
Application Analysis ◽  
Dynamic Quality

Due to the demands of dynamic quality control in manufacturing process, a system framework of dynamic coupled quality control (DCQC) was proposed. The framework analyzed the coupled relation between quality attributes (QAs) of product, and established the weighted coupled network (WCN) model by defining the nodes properties formalized. According to the model, the coupled mechanism was analyzed and the monitoring technique of key quality points was put forward based on brittleness analysis and autocorrelation analysis. Furthermore, the dynamic quality improving mechanism was performed to realize the real-time control. Finally, an application analysis was presented to demonstrate the rationality and validity of the method.

A Real Time Control Architecture for Continuously Managing Patients in a Care Unit

1995 ◽  
Vol 34 (05) ◽  
pp. 475-488
Author(s):  
B. Seroussi ◽  
J. F. Boisvieux ◽  
V. Morice
Keyword(s):  
Real Time ◽  
Linear Time ◽  
Treatment Plan ◽  
Control Architecture ◽  
Real Time Control ◽  
Time Representation ◽  
Time Control ◽  
Continuous Support ◽  
Definition Of ◽  
Computerized System

Abstract:The monitoring and treatment of patients in a care unit is a complex task in which even the most experienced clinicians can make errors. A hemato-oncology department in which patients undergo chemotherapy asked for a computerized system able to provide intelligent and continuous support in this task. One issue in building such a system is the definition of a control architecture able to manage, in real time, a treatment plan containing prescriptions and protocols in which temporal constraints are expressed in various ways, that is, which supervises the treatment, including controlling the timely execution of prescriptions and suggesting modifications to the plan according to the patient’s evolving condition. The system to solve these issues, called SEPIA, has to manage the dynamic, processes involved in patient care. Its role is to generate, in real time, commands for the patient’s care (execution of tests, administration of drugs) from a plan, and to monitor the patient’s state so that it may propose actions updating the plan. The necessity of an explicit time representation is shown. We propose using a linear time structure towards the past, with precise and absolute dates, open towards the future, and with imprecise and relative dates. Temporal relative scales are introduced to facilitate knowledge representation and access.

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