A new exponentially weighted moving average chart with an adaptive control scheme for high yield processes—An application in injection molding process

2020 ◽  
Author(s):  
Sani Salihu Abubakar ◽  
Michael B.C. Khoo ◽  
Sajal Saha ◽  
Ming Ha Lee
Keyword(s):  
Adaptive Control ◽  
Injection Molding ◽  
Moving Average ◽  
High Yield ◽  
Injection Molding Process ◽  
Exponentially Weighted Moving Average ◽  
Molding Process ◽  
Control Scheme ◽  
Adaptive Control Scheme ◽  
Weighted Moving Average

scholarly journals Quality Indexes Design for Online Monitoring Polymer Injection Molding

2019 ◽  
Vol 2019 ◽  
pp. 1-20 ◽  
Author(s):  
Jian-Yu Chen ◽  
Chien-Chou Tseng ◽  
Ming-Shyan Huang
Keyword(s):  
Injection Molding ◽  
Quality Index ◽  
Quality Monitoring ◽  
High Yield ◽  
Injection Molding Process ◽  
Monitoring And Control ◽  
Molding Process ◽  
Polymer Injection ◽  
Part Quality ◽  
Quality Indexes

Quality control is a crucial issue in the injection molding process with target of obtaining a high yield rate and reducing production cost. Consequently, effective methods for monitoring the injection conditions (e.g., pressure, velocity, and temperature) in real-time and adjusting these conditions adaptively as required to ensure a consistent part quality are essential. This study proposes a quality index based on the clamping force increment during the injection cycle, as determined by four strain gauges attached to the tie bars of the injection molding machine. Also, various quality indexes for online quality monitoring and prediction purposes based on the pressure, viscosity, and energy features extracted from the pressure profiles obtained at the load cell, nozzle, and molding cavity, respectively, are compared. The feasibility of the proposed quality indexes is investigated experimentally for various settings of the barrel temperature, back pressure, and rotational speed of the plasticizing screw. It is shown that all of the quality indexes are correlated with the injection-molded quality and hence provide a feasible basis for the realization of an on-line quality monitoring and control system. Particularly, the tie-bar elongation quality index requires no modification or invasion of the injection molding system or cavity and hence provides a particularly attractive solution for monitoring and controlling the part quality.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

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