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Evaluating and controlling process variability in micro-injection moulding

By Usama M. Attia and Jeffrey R. Alcock

Abstract

Microsystem technologies require relatively strict quality requirements. This is because their functionalities are usually dependent on stringent requirements of dimensions, masses or tolerances. When mass-producing micro-components, e.g. replication of disposable microfluidic diagnostics devices, the consistency of the produced components could be significantly affected by process variability. The variability could be associated with a specific process parameter or could be a result of process noise. This paper presents a methodology to assess and minimise process variability in micro-injection moulding, an example of well- established mass-production techniques for micro-components. A design-of- experiments approach was implemented, where five process parameters were investigated for possible effects on the process variability of two components. The variability was represented by the standard deviation of the replicated part mass. It was found that melt temperature was a significant source of variability in part mass for one of the components, whilst the other was affected by unsystematic variability. Optimisations tools such as response surfaces and desirability functions were implemented to minimise mass variability by more than 40%

Topics: Micro-injection moulding Quality control Design-of-experiments Process variability Processing parameters replication quality
Publisher: Springer Science Business Media
Year: 2011
DOI identifier: 10.1007/s00170-010-2724-1
OAI identifier: oai:dspace.lib.cranfield.ac.uk:1826/5297
Provided by: Cranfield CERES
Journal:

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Citations

  1. (2009). An evaluation of process-parameter and part-geometry effects on the quality of filling in micro-injection moulding. doi
  2. (2007). An experimatal study on micro injection paramaters. ANTEC:
  3. (2010). Available at: www.minitab.com. Accessed
  4. (2005). Design and analysis of experiments, 6th edn.
  5. (2003). Design of experiments for engineers and scientists. doi
  6. (2008). Design of experiments: principles and applications, 3rd edn. Umetrics, doi
  7. (2005). Experimental investigation into micro injection molding of plastic parts. doi
  8. (2007). Influence of process parameters on the weld lines of a micro injection molded component. ANTEC:
  9. (2009). Micro-injection moulding of polymer microfluidic devices. doi
  10. (2008). Microinjection moulding: surface treatment effects on part demoulding. doi
  11. (2010). Optimising process conditions for multiple quality criteria in micro-injection moulding. doi
  12. P (2003a) Effects of process parameters on the micro molding process. doi
  13. Packianather MS (2007a) Investigation of micro-injection moulding: factors affecting the replication quality. doi
  14. Packianather MS (2007b) Micro-injection moulding: factors affecting the achievable aspect ratios. doi
  15. (2009). Reconfigurable micro-mould for the manufacture of truly 3D polymer microfluidic devices.
  16. (2005). Replication of sub-micrometre features using microsystems technology. doi
  17. (2002). Replication of sub-micron features using amorphous thermoplastics.
  18. (2008). Replication quality of flow-through microfilters in microfluidic lab-on-a-chip for blood typing by microinjection molding. doi
  19. (2005). The effect of process conditions on part quality in microinjection molding. ANTEC:
  20. (2007). The effects of tool surface quality in micro-injection moulding. doi
  21. (2002). Three-dimensional non-Newtonian computations of micro-injection molding with the finite element method. doi
  22. (1997). Understanding design of experiments: a primer for technologists. doi
  23. Xiong ZJ (2003b) Polymer micromould design and micromoulding process. doi

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