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Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions

Samer As'ad*, Adnan Al-Smadi**, Wael Massarweh***

*Head, Department of Renewable Energy Engineering, Middle East University, Jordan.

**Former Dean, Hijjawi College for Engineering Technology, Yarmouk University, Jordan.

***Consultant, Al Hussein Technical University, Amman, Jordan.

Periodicity:August - October'2018
DOI : https://doi.org/10.26634/jic.6.4.14945

Abstract

In direct aluminum extrusion, so much work has been accumulated to control the process with respect to such principle element as billet metallurgy, die design, equipment, and process parameters. The objective of this paper is to develop an algorithm that can be used to extract some features from the energy consumption cycle in one billet. The results of the diagnostic analysis can be used to monitor energy consumption and time it takes to extrude one billet. In addition, the developed method can be automated to predict how long the production will be at its maximum and at its minimum. Hence, energy and time can be saved. The work presented here is based on real-data taken from a sensor attached to three pumps at the plant that takes 5 readings every 2 seconds for each pump. That is, a total of 15 readings every 2 seconds. The work presented is for direct-extrusion using 2420 Metric ton capacity. The algorithm detects the boundary points for the regions in the signature. It should be emphasized that the available machine is designed for direct extrusion operations only.

Keywords

Direct Aluminum Extrusion, Energy Consumption, Billets, Signature, Die, Profiles.

How to Cite this Article?

As'ad, S., Al-Smadi, A., & Massarweh, W. (2018). Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions. i-manager's Journal on Instrumentation and Control Engineering, 6(4), 1-8. https://doi.org/10.26634/jic.6.4.14945

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Diagnostic Analysis Of The Energy Consumption Of Aluminum Direct Extrusion Operations For Real Time Conditions

Abstract

Keywords

How to Cite this Article?

References

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