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Cycle to Cycle Manufacturing Process Control

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dc.creator Hardt, David E.
dc.creator Siu, Tsz-Sin
dc.date 2003-12-23T15:05:53Z
dc.date 2003-12-23T15:05:53Z
dc.date 2002-01
dc.date.accessioned 2013-10-09T02:33:51Z
dc.date.available 2013-10-09T02:33:51Z
dc.date.issued 2013-10-09
dc.identifier http://hdl.handle.net/1721.1/4026
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/1721
dc.description Most manufacturing processes produce parts that can only be correctly measured after the process cycle has been completed. Even if in-process measurement and control is possible, it is often too expensive or complex to practically implement. In this paper, a simple control scheme based on output measurement and input change after each processing cycle is proposed. It is shown to reduce the process dynamics to a simple gain with a delay, and reduce the control problem to a SISO discrete time problem. The goal of the controller is to both reduce mean output errors and reduce their variance. In so doing the process capability (e.g. Cpk) can be increased without additional investment in control hardware or in-process sensors. This control system is analyzed for two types of disturbance processes: independent (uncorrelated) and dependent (correlated). For the former the closed-loop control increased the output variance, whereas for the latter it can decrease it significantly. In both cases, proper controller design can reduce the mean error to zero without introducing poor transient performance. These finding were demonstrated by implementing Cycle to Cycle (CtC) control on a simple bending process (uncorrelated disturbance) and on an injection molding process (correlated disturbance). The results followed closely those predicted by the analysis.
dc.description Singapore-MIT Alliance (SMA)
dc.format 1111042 bytes
dc.format application/pdf
dc.language en_US
dc.relation Innovation in Manufacturing Systems and Technology (IMST);
dc.subject manufacturing process control
dc.subject SPC
dc.subject discrete system control
dc.subject variance reduction
dc.title Cycle to Cycle Manufacturing Process Control
dc.type Article


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