scholarly journals A Novel Adaptive Process Control for Injection Moulding of BMC and CIC Polyester Compounds

2005 ◽  
Vol 14 (5) ◽  
pp. 096369350501400 ◽  
Author(s):  
Eric Lafranche ◽  
Laura Cilleruelo ◽  
Marc Ryckebusch ◽  
Patricia Krawczak
Keyword(s):  
Feedback Control ◽  
Process Control ◽  
Injection Moulding ◽  
Unsaturated Polyester ◽  
Charpy Impact ◽  
Mean Value ◽  
Hydraulic Pressure ◽  
Productivity Improvement ◽  
Advanced Process Control ◽  
Control Feedback

The formulation of unsaturated polyester Bulk Moulding Compounds (BMC) or Continuously Impregnated Compounds (CIC) induces a variation of their reactivity or viscosity, which reflects the heterogeneity of the material batches produced. This experimental study has pointed out the benefits brought by an advanced process control of the injection moulding holding stage (feedback control on the polymer pressure in the mould cavity with automatic set up of holding time) compared to a regular process control (feedback control on the hydraulic pressure). The advanced process control actually leads to the reduction of the scattering observed on bulk (weight, specific gravity), surface (porosity, roughness) or mechanical properties (Charpy impact strength). It allows smoothing the thermal perturbations induced by a manufacturing start-up, as well as the rheological perturbation due to the material batches heterogeneity that are frequently encountered in the unsaturated polyester compound injection moulding industry. This scattering decrease, centred on the mean value of the target properties, directly involves significant quality and productivity improvement.

Towards Intelligent Process Control of Injection Moulding of Polymers

1995 ◽  
Vol 209 (5) ◽  
pp. 357-367 ◽  
Author(s):  
P D Coates ◽  
R G Speight
Keyword(s):  
Process Control ◽  
Injection Moulding ◽  
Hydraulic Pressure ◽  
Statistical Process ◽  
Loop Control ◽  
Moulding Process ◽  
Injection Moulding Process ◽  
Scientific Laboratory ◽  
Process Measurements ◽  
Intelligent Process

Steps towards process control of the complex, multi-variable injection moulding process are presented. In-process measurements, in particular melt and hydraulic pressures in the primary injection stage, are shown to provide a sensitive means of monitoring changes in the process and changes in the polymer feedstock. Correlations have been observed between real time process measurements, in the form of specific time integrals of melt and hydraulic pressure, and product quality measures, such as product weight or dimensions. The research has been validated in both scientific laboratory and factory studies, and for a range of polymers, injection moulding technologies and complexities of product. Such correlations, and the specific integrals upon which they are based, can therefore form the basis of meaningful statistical process control for injection moulding or a viable closed-loop control strategy.

Increasing revenue and reducing cost through the use of advanced process control technology in the sugar industry

2016 ◽  
pp. 620-624
Author(s):  
Scott Kahre
Keyword(s):  
Process Control ◽  
Sugar Industry ◽  
Operating Cost ◽  
Control Technology ◽  
Advanced Process Control ◽  
Output Controller ◽  
Complex Processes ◽  
Unit Operations ◽  
Sugar Unit ◽  
Optimum Cost

Advanced process control technology can provide sugar processors the ability to realize major revenue enhancements and/or operating cost reductions with low initial investment. One technology in particular, model predictive control (MPC), holds the potential to increase production, reduce energy costs, and reduce quality variability in a wide variety of major sugar unit operations. These include centrifugal stations, pulp dryers, extractors, diffusers, mills, evaporating crystallizers, juice purification, and more. Simple payback periods as low as two months are projected. As a PC-based add-on to existing distributed control systems (DCS) or programmable logic controller (PLC) systems, MPC acts as a multi-input, multi-output controller, utilizing predictive process response models and optimization functions to control complex processes to their optimum cost and quality constraints.

Implementation and benefits of advanced process control for lithography CD and overlay

2003 ◽  
Author(s):  
Lena Zavyalova ◽  
Chong-Cheng Fu ◽  
Gary S. Seligman ◽  
Perry A. Tapp ◽  
Victor Pol
Keyword(s):  
Process Control ◽  
Advanced Process Control

Cost and revenue impact of advanced process control (APC) with an emphasis on run-to-run control (R2R)

2003 ◽  
Author(s):  
Timothy D. Stanley ◽  
Richard J. Markle ◽  
Brad Van Eck ◽  
Brian K. Cusson ◽  
Matthew A. Purdy ◽  
...  
Keyword(s):  
Process Control ◽  
Advanced Process Control
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