Comprehensive Online Control Strategies for Plastic Injection Molding Process

[1]  Furong Gao,et al.  Dynamics and Control of Surface and Mold Temperatures in Injection Molding , 1993 .

[2]  Xiangdong He,et al.  A New Method for Identifying Orders of Input-Output Models for Nonlinear Dynamic Systems , 1993, 1993 American Control Conference.

[3]  F. Udwadia.  Methodology for Optimum Sensor Locations for Parameter Identification in Dynamic Systems , 1994 .

[4]  Peter Tiño,et al.  Learning long-term dependencies in NARX recurrent neural networks , 1996, IEEE Trans. Neural Networks.

[5]  George W. Irwin,et al.  Fast parallel off-line training of multilayer perceptrons , 1997, IEEE Trans. Neural Networks.

[6]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[7]  Ching-Chih Tsai,et al.  Multivariable self-tuning temperature control for plastic injection molding process , 1998 .

[8]  Ching-Chih Tsai,et al.  Adaptive decoupling predictive temperature control for an extrusion barrel in a plastic injection molding process , 2001, IEEE Trans. Ind. Electron..

[9]  C. Zheng,et al.  Applied contaminant transport modeling , 2002 .

[10]  R. Dubay.  Self-optimizing MPC of melt temperature in injection moulding. , 2002, ISA transactions.

[11]  Xiang Chen,et al.  Effect of cooling water flow rates on local temperatures and heat transfer of casting dies , 2004 .

[12]  R. Dubay,et al.  Cavity temperature control in plastic injection molding , 2005, IEEE International Conference Mechatronics and Automation, 2005.

[13]  Alexandre Mota,et al.  Additive Internal Model Control: a new Control Strategy , 2005 .

[14]  Meng Joo Er,et al.  NARMAX time series model prediction: feedforward and recurrent fuzzy neural network approaches , 2005, Fuzzy Sets Syst..

[15]  M. Demetriou,et al.  Robust sensor location optimization in distributed parameter systems using functional observers , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[16]  Matthew S. Dargusch,et al.  Recommendations and guidelines for the performance of accurate heat transfer measurements in rapid forming processes , 2006 .

[17]  Henry Hu,et al.  Thermal analysis of casting dies with local temperature controller , 2007 .

[18]  Xiang Chen,et al.  A Fuzzy PID Thermal Control System for Die Casting Processes , 2007, 2007 IEEE 22nd International Symposium on Intelligent Control.

[19]  Eugen Diaconescu,et al.  The use of NARX neural networks to predict chaotic time series , 2008 .

[20]  Matthew S. Dargusch,et al.  Heat-Transfer Coefficient and In-Cavity Pressure at the Casting-Die Interface during High-Pressure Die Casting of the Magnesium Alloy AZ91D , 2008 .

[21]  Jing Jiang,et al.  Fuzzy Barrel Temperature PID Controller Based on Neural Network , 2008, 2008 Congress on Image and Signal Processing.

[22]  Jiangjiang Wang,et al.  Adaptive PID control with BP neural network self-tuning in exhaust temperature of micro gas turbine , 2008, 2008 3rd IEEE Conference on Industrial Electronics and Applications.

[23]  Fei Wang,et al.  Adaptive PID Controller Based on BP Neural Network , 2009, 2009 International Joint Conference on Artificial Intelligence.

[24]  Amir Khajepour,et al.  Thermal Dynamic Modeling and Control of Injection Moulding Process , 2011, AIS.

[25]  Amir Khajepour,et al.  Identification of Die Thermal Dynamics Using Neural Networks , 2011 .

[26]  Amir Khajepour,et al.  Optimal Sensor Location in Laminated Die System , 2012 .

[27]  Amir Khajepour,et al.  Thermal management in laminated die system , 2014 .