A monitoring and control framework for lost foam casting manufacturing processes using genetic programming
by Alaa F. Sheta; Peter Rausch; Alaa S. Al-Afeef
International Journal of Bio-Inspired Computation (IJBIC), Vol. 4, No. 2, 2012

Abstract: Monitoring and control of manufacturing processes is an essential part of any industry. Being able to collect sensor measurements, analyse the measurements in an intelligent way, select appropriate actions and validate the desired results of these actions is a tremendous goal to be achieved. In this paper, we propose a monitoring and control framework of a multi-tier closed-loop controlling lost foam casting (LFC) system. The proposed system consists of several subsystems like production activity control (PAC), enterprise resource planning (ERP), and business intelligence (BI). Another essential part of the system is the electrical capacitance tomography (ECT) subsystem. This subsystem is in charge of collecting measurements from the LFC process, develops an evolutionary model-based genetic programming (GP) of the process and reconstructs an image of the casting process. The proposed framework can be used to improve the quality of manufacturing processes and to enhance process reliability which, as a result, will increase companies' profit. The proposed framework can be extended to a variety of applications.

Online publication date: Sun, 03-Jun-2012

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bio-Inspired Computation (IJBIC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com