Seven empirical equations were developed for the prediction of seal strength for medical device
trays. A new methodology was developed and used for identifying burst and peel locations and comparing
burst pressure and peel force. Multiple linear regression was used to fit 76 models, selecting the best
models based on the Akaike Information Criterion (AIC) and adjusted R2 (R2
adj) value of each model. The
selected models have R2
adj and prediction R2
(R2
pred) values of .83 to .94.
Factors investigated for the peel force response were sealing pressure (3 levels), dwell time (3
levels), sealing temperature (3 levels), and adhesive. Additional factors investigated for the burst pressure
response were restraining plate gap, and tray volume, height, length-to-width ratio and area. Polyethylene
terephthalate-glycol (PETG) trays with Tyvek 1073B lids and two popular water-based adhesives were
used. Trays were selected to yield three levels of area and three levels of length-to-width ratio, defining
nine package configurations. Packages for burst testing were sealed under a fractional factorial design with
27 treatments. Packages for peel testing were sealed under a 17-point face-centered central composite
design. Packages were tested using peel testing following the ASTM F88-07 standard and restrained burst
testing with three gap distances following the ASTM F2054-00 standard.
All possible subsets of the factors were evaluated, with the best models selected based on AIC
value. Equations were developed to predict peak and average peel force based on sealing process
parameters (R2
pred =.94 and .92), burst pressure based on tray and sealing parameters and gap (R2
pred =.94),
and four peel force responses based on burst pressure and gap (R2
pred =.83 to .86). Models were validated
through cross-validation, using the prediction error sum of squares (PRESS) statistic. The R2
pred was
calculated to estimate the predictive ability of each model.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2756 |
| Date | 15 May 2009 |
| Creators | Mays, Patricia Faye |
| Contributors | Malave, Cesar O. |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Dissertation, text |
| Format | electronic, application/pdf, born digital |
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