Abstract
Statistical process control (spc), as one of the quality devices, can be help manufacturers improve the quality of their products in today’s competitive world. This research examines the statistical method of wire-cut electric discharge machining (WEDM) process of the turbine blade airfoil tip for control and consistency of the process. For this purpose, the standard deviation control chart, S, and the average data, , which are applied for identifying the acquired factors, have been used. Next, regarding the plan features, the manufacturing process is assessed to determine whether the products meet quality and the customer requirements or not. Therefore, the coefficients Cpk is applied which indicate the capability of the manufacturing process. Then, in order to produce high quality blades within the tolerance range, the capability of WEDM machine is examined, using coefficients CM. Finally, it is shown that in order to produce the desired product, the process can be controlled and fixed by using the statistical process control devices and inspecting the standard deviation of data and investigation of capability of process and machine.
Highlights
Statistical Process Control (SPC) is a commonly used control method of manufacturing processes which is effective in controlling the fluctuations of the manufacturing process
The statistical process control (SPC) is a method of process control, that continues when using the controlling diagrams and the related diagrams are under the control; but if they are out of control, the process is modified
The controlling diagram is designed in a way which illustrated the process behavior during the time; and as soon as observing an out of control condition, the problem of the process can be guessed
Summary
SPC is a commonly used control method of manufacturing processes which is effective in controlling the fluctuations of the manufacturing process. Statistical Process Control (SPC) techniques, when applied to measurement data, can be used to highlight areas that would benefit from further investigation. These techniques enable the user to identify variation within their process. [5,6,7] This research examines the statistical method of WEDM process of the gas turbine blade airfoil tip for control and consistency of the process. For this purpose, the standard deviation control chart, s, and the average data, X , which are applied for identifying the acquired factors, have been used.
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