Skip to main content
Log in

An adhesive selection advisor for PCB assembly using surface mount technology

  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

The interrelationships that exist in the manufacturing processes associated with the surface mount manufacture of printed circuit boards (PCBs) are complex and varied. Proper understanding of the relationships between the variables in a surface mount technology (SMT) process are critical for achieving effective process control and high yields. One aspect of the complex relationship is the selection and dispensing of adhesives for the wave soldering of surface mount components on a PCB.

The quantitative and repeatable dispensing of adhesive dots is critical to providing adequate process control for attaching components including chip resistors, capacitors, and small outline type transistors to the wave solder side of a PCB. Variables that need to be considered include facility temperature, humidity, size and types of components used on the PCB, adhesive properties, type of dispenser used, curing requirements, and the soldering time and temperature,

A knowledge-based approach which considers these relationships is described. Developed in PROLOG, this stand alone adhesive selection advisor is capable of guiding the user in the selection of the proper adhesive and providing dispenser related information. The factors considered include facility temperature, material property requirements, productivity measures including yield, and the process used to dispense the adhesive. The system also functions as a database for adhesive related properties and as an on-line installation and maintenance manual for the adhesive dispenser. Twenty-one different commerically available adhesives and two types of dispensers (air over and positive displacement) have been considered in this research.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. S. R. T. Kumara, R. L. Kashyap and C. L. Moodie, “Application of expert systems and pattern recognition methodologies to facilitate layout planning,”International Journal of Production Research,26 (5), pp. 905–930, 1988.

    Google Scholar 

  2. A. Kusiak, “Artificial intelligence and operations research in flexible manufacturing systems,”Information Systems and Operational Research,25, (1) pp. 2–12, 1987.

    Google Scholar 

  3. E. H. Shortcliffe,Computer Based Medical Consultation: MYCIN, American Elsevier, New York, 1986.

    Google Scholar 

  4. J. McDermott, “R1: a Rule Based Configurer of Computer Systems”,Tech. Rept CMU-C8-80-119, Carnegie Mellon University, Pittsburgh, PA, 1980.

    Google Scholar 

  5. R. O. Duda, J. G. Gashig, P. E. Hart, K. Konolige, R. Reboh, P. Barret and J. Slocum, “Development of the PROSPECTOR consultation system for mineral exploration”,Final Report, SRI Project 5821 and 6415, SRI International Inc., Menlo Park, California, 1978.

    Google Scholar 

  6. L. Alting and H. Zhang, “Computer aided process planning-the state of the art survey”,International Journal Of Production Research,27, (4), pp. 553–585, 1989.

    Google Scholar 

  7. B. K. Ghosh and T. Gupta, “A survey of expert systems in manufacturing and process planning”,Computers In Industry,11, (2), pp. 195–204, 1988.

    Google Scholar 

  8. T. C. Chang and J. Terwilliger, “A rule based system for printed wiring assembly process planning”,International Journal of Production Research,25, (10), pp. 1465–1482, 1987.

    Google Scholar 

  9. C. F. Coombs Jr,Printed Circuits Handbook, McGraw Hill, New York, 1988.

    Google Scholar 

  10. C. Lea,Scientific Guide to Surface Mount Technology, Electrochemical Publications Limited, Scotland, 1985.

    Google Scholar 

  11. K. G. Kempf, “Manufacturing and artificial intelligence”,Robotics,1, (1), pp. 13–25, 1985.

    Google Scholar 

  12. D. W. Rolston,Principles of Artificial Intelligence and Expert Systems Development, McGraw Hill, New York, 1988.

    Google Scholar 

  13. F. Hayes-Roth, D. A. Waterman and D. B. Lenat,Building Expert Systems, Addison Wesley, Massachusetts, 1983.

    Google Scholar 

  14. G. F. Luger and W. A. Stubblefield,Artificial Intelligence and the Design of Expert Systems, Benjamin/Cummings Publishing Company, Redwood City, California, 1989.

    Google Scholar 

  15. S. S. Heragu and A. Kusiak, “Machine layout-an optimization and knowledge based approach”,International Journal of Production Research,28 (4), pp. 615–635, 1990.

    Google Scholar 

  16. G. Abdou and S. P. Dutta, “An integrated approach to facilities layout using expert systems”,International Journal of Production Research,28, (4), pp. 685–708, 1990.

    Google Scholar 

  17. B. Malakooti and A. Tsurushima, “An Expert System for Solving Multiple Criteria Facility Layout Problems”,International Journal of Production Research,27 (5), pp. 793–808, 1989.

    Google Scholar 

  18. G. Westby,Optimized Layout of SMT Production Systems, Universal Instruments Corporation, Binghamton, New York, 1989.

    Google Scholar 

  19. W. F. Clocksin and C. S. Mellish,Programming in PROLOG, Springer Verlag, Berlin, 1984.

    Google Scholar 

  20. R. Komm and D. Warner, “An IBM case study-implementation of expert systems for wave solder”,Proceedings of NEPCON West, Anaheim, California, pp. 677–687, March 1990.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Derebail, A., Srihari, K. & Emerson, C.R. An adhesive selection advisor for PCB assembly using surface mount technology. Int J Adv Manuf Technol 9, 93–105 (1994). https://doi.org/10.1007/BF01750416

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01750416

Keywords

Navigation