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Improvement of injection molding processes remains a topic of great interest in both industry and research institutions. This book introduces the analysis of the molding process from a systems technology point of view.
It is divided into four parts: the first part provides general background to introduce the injection molding process, the second covers the control of the process, the third is on the monitoring technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and experimental tests.
It is divided into four parts: the first part provides general background to introduce the injection molding process, the second covers the control of the process, the third is on the monitoring technology, and the fourth is concerned with the optimization of the process. Most the results within are from real engineering implementations and experimental tests.
10
.3Soft-sensor development of average-flow-length
12.4Uniform filling based on optimization
12.5Optimal profile of injection velocity for different mold shapes
Chapter 13 OPTIMAL PROFILING FOR PACKING STAGE
13.1Introduction
13.2Online auto-detection of gate freezing-off point
13.3Influence of packing profile on part quality
13.4Profiling of packing pressure
Chapter 14 PARAMETER SETTING FOR PLASTICATION STAGE
14.1Introduction
14.2Neural network modeling of melt temperature
14.3Optimal parameter setting
Chapter 15 MODEL FREE OPTIMIZATION FOR PART QUALITY CONTROL
15.1Model free optimization strategy for injection molding process
15.2Gradient-based algorithm
15.3Non-gradient-based algorithm
15.4Part weight control via MFO
15.5Focal length c
.3Soft-sensor development of average-flow-length
12.4Uniform filling based on optimization
12.5Optimal profile of injection velocity for different mold shapes
Chapter 13 OPTIMAL PROFILING FOR PACKING STAGE
13.1Introduction
13.2Online auto-detection of gate freezing-off point
13.3Influence of packing profile on part quality
13.4Profiling of packing pressure
Chapter 14 PARAMETER SETTING FOR PLASTICATION STAGE
14.1Introduction
14.2Neural network modeling of melt temperature
14.3Optimal parameter setting
Chapter 15 MODEL FREE OPTIMIZATION FOR PART QUALITY CONTROL
15.1Model free optimization strategy for injection molding process
15.2Gradient-based algorithm
15.3Non-gradient-based algorithm
15.4Part weight control via MFO
15.5Focal length c