MODELING AND OPTIMIZATION OF REFLOW THERMAL PROFILING OPERATION: A COMPARATIVE STUDY

REFERENCES

• Abouhamze , M. and Shakeri , M. 2007 . Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks . Composite Structures , 81 : 253 – 263 .
   Web of Science ®Google Scholar
• Apell , M. C. 2004 . Considerations for lead-free reflow soldering . Circuits Assembly Magazine , : 28 – 30 .
   Google Scholar
• Ayag , Z. 2005 . A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment . IIE Transactions , 37 : 827 – 842 .
   Web of Science ®Google Scholar
• Barbini , D. , Diepstraten , G. and Marquez , U. 2005 . Process considerations for optimizing a reflow profile . Surface Mount Technology Magazine , July : 28 – 31 .
   Google Scholar
• Chang , H. H. 2006 . Dynamic multi-response experiments by backpropagation networks and desirability functions . Journal of the Chinese Institute of Industrial Engineers , 23 : 280 – 288 .
   Google Scholar
• Cherian , R. P. , Smith , L. N. and Midha , P. S. 2000 . A neural network approach for selection of power metallurgy materials and process parameters . Artificial Intelligence in Manufacturing , 14 : 29 – 44 .
   Google Scholar
• Coley , D. A. 1999 . An Introduction to Genetic Algorithms for Scientists and Engineers Singapore : World Scientific .
   Google Scholar
• Derringer , G. and Suich , R. 1980 . Simultaneous optimization of several response variable variables . Journal of Quality Technology , 12 : 214 – 219 .
   Web of Science ®Google Scholar
• Fahlman , S. E. 1988 . “ Faster-learning variations on back-propagation: an empirical study,” . In Proceedings of 1988 Connectionist Models Summer School 38 – 51 . San Mateo, , USA Jun. 17–26
   Google Scholar
• Goldberg , E. D. 1989 . Genetic Algorithms in Search, Optimization and Machine Learning MA : Addison-Wesley .
   Google Scholar
• Huang , H. Z. , Tian , Z. and Zuo , M. 2005 . Intelligent interactive multiobjective optimization method and its application to reliability optimization . IIE Transactions , 37 : 983 – 993 .
   Web of Science ®Google Scholar
• Lee , N. C. 1999 . Optimizing the reflow profile via defect mechanism analysis . Soldering & Surface Mount Technology , 11 : 13 – 20 .
   Google Scholar
• Lin , Y. H. , Deng , W. J. , Shie , J. R. and Yang , Y. K. 2007 . Optimization of reflow soldering process for BGA packages by artificial neural network . Microelectronics , 24 : 64 – 70 .
   Google Scholar
• Myers , R. H. and D. C. 1995 . Montgomery, Response Surface Methodology-process and Product Optimization Using Designed Experiments NJ : John Wiley & Sons .
   Google Scholar
• Pacella , M. and Semeraro , O. 2007 . Using recurrent neural networks to detect changes in autocorrelated process for quality monitoring . Computers and Industrial Engineering , 52 : 502 – 520 .
   Web of Science ®Google Scholar
• Prasad , R. P. 2002 . One solder profile for all board? , Technical Report 11 – 14 . Surface Mount Technology .
   Google Scholar
• Saaty , T. L. 1980 . The Analytic Hierarchy Process: Planning, Priority Setting and Resource Allocation NY : McGraw-Hill .
   Google Scholar
• Sanchis , J. , Martínez , M. A. and Blasco , X. 2008 . Integrated multiobjective optimization and a priori preferences using genetic algorithms . Information Sciences , 178 : 931 – 951 .
   Web of Science ®Google Scholar
• Sarvar , F. and Conway , P. P. 1998 . A modeling tool for the thermal optimization of the reflow soldering of printed circuit assemblies . Finite Elements in Analysis and Design , 30 : 47 – 63 .
   Google Scholar
• Su , Y. Y. , Srihari , K. and Emerson , C. R. 1997 . A profile identification system for surface mount printed circuit board assembly . Computers and Industrial Engineering , 33 : 377 – 380 .
   Web of Science ®Google Scholar
• Übeyli , E. D. and Güler , İ. 2004 . Multipayer perceptron neural networks to compute quasistatic parameters of asymmetric coplanar waveguides . Neurocomputing , 62 : 349 – 365 .
   Google Scholar
• Zhong , J. , Hu , X. , Gu , M. and Zhang , J. 2005 . “ Comparison of performance between different selection strategies on simple genetic algorithms ” . In Proceedings of the 2005 International Conference on Computational Intelligence for Modeling, Control and Automation, and International Conference Intelligent Agents, Web Technologies and Internet Commerce 1115 – 1121 . Vienna, , Austria Nov. 28–30
   Google Scholar