Research on Statistical Process Control for Aluminium Electrolysis Reduction

2012 ◽  
Vol 241-244 ◽  
pp. 1839-1844
Author(s):  
Dan Yang Cao ◽  
Xi Zhong Song ◽  
Jin Hong Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Statistical Process Control ◽  
Process Parameters ◽  
Aluminum Electrolysis ◽  
Process Control System ◽  
Aluminium Electrolysis ◽  
Statistical Process ◽  
Level Data ◽  
Aluminium Level

In order to lower the measurement system errors in aluminum electrolysis reduction, and find out the abnormity of process parameters, this paper considered the process parameters in the production process, used mean-range control chart in statistical process control to analyse aluminium level data during aluminium electrolysis reduction, designed and implemented the statistical process control system for aluminum electrolysis reduction data, presented process improvement method for aluminium level data. Results for the 300KA aluminium electrolysis cell show the statistical process control system can ensure the stability of aluminium electrolysis pot process parameters, find out specific reasons of abnormal data, keep the material balance and energy balance, improve current efficiency, and reduce the energy consumption.

EDM Characteristics of Inconel 718 and Using Control Chart for Process Stable

2013 ◽  
Vol 441 ◽  
pp. 7-10
Author(s):  
Shih Hung Tai ◽  
Chun Yao Hsu ◽  
Ching Hung Su ◽  
Ching I Lin
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Process Parameters ◽  
Material Removal Rate ◽  
Control Charts ◽  
Material Removal ◽  
Removal Rate ◽  
Micro Milling ◽  
Statistical Process ◽  
Edm Process

This study investigates the optimization of micro milling EDM process parameters to achieve multiple performance characteristics (low electrode depletion (ED), high material removal rate (MRR) and low overcut) in the Inconel 718 by the Grey-Taguchi method. Experimental results show that the electrode depletion decreased from 0.56 to 0.52 10-8 mm3/min, the material removal rate increased from 0.47 to 1.68 10-8 mm3/min and the overcut decreased from 1.27 to 1.19 μm under optimal micro milling EDM process parameters. Furthermore, control charts tell us when special causes of variation are impacting machining process. Control charts are basic and powerful tools in statistical process control and are widely used to control various industrial processes. The aim of statistical process control is to explore the predictability of a process. It was found that the EDM process and product characteristics are stable over time.

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