Abstract
In this study, a multi-objective design optimization method based on a radial basis function (RBF) model was applied to minimize the volumetric shrinkage and warpage of hip liners as an injection-molded biomedical part. The hip liners included an ultrahigh molecular weight polyethylene (UHMWPE) liner and UHMWPE reinforced with a nano-hydroxyapatite (nHA) liner. The shrinkage and warpage values of the hip liners were generated by simulation of the injection molding process using Autodesk Moldflow. The RBF model was used to build an approximate function relationship between the objectives and the process parameters. The process parameters, including mold temperature, melt temperature, injection time, packing time, packing pressure, coolant temperature, and type of liner, were surveyed to find the interaction effects of them on the shrinkage and warpage of the liners. The results indicated that the addition of nHA helps the liners to obtain more dimensional stability. The model was validated by the k-fold cross validation technique. Finally, the model revealed the optimal process conditions to achieve the minimized shrinkage and warpage simultaneously for various weights.
| Original language | English |
|---|---|
| Pages (from-to) | 481-492 |
| Number of pages | 12 |
| Journal | Journal of Polymer Engineering |
| Volume | 39 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - 1 May 2019 |
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Optimization of process parameters in plastic injection molding for minimizing the volumetric shrinkage and warpage using radial basis function (RBF) coupled with the k-fold cross validation technique. / Shiroud Heidari, Behzad; Moghaddam, Amin Hedayati; Davachi, Seyed Mohammad; Khamani, Shadi; Alihosseini, Afshar.
In: Journal of Polymer Engineering, Vol. 39, No. 5, 01.05.2019, p. 481-492.Research output: Contribution to journal › Article
TY - JOUR
T1 - Optimization of process parameters in plastic injection molding for minimizing the volumetric shrinkage and warpage using radial basis function (RBF) coupled with the k-fold cross validation technique
AU - Shiroud Heidari, Behzad
AU - Moghaddam, Amin Hedayati
AU - Davachi, Seyed Mohammad
AU - Khamani, Shadi
AU - Alihosseini, Afshar
PY - 2019/5/1
Y1 - 2019/5/1
N2 - In this study, a multi-objective design optimization method based on a radial basis function (RBF) model was applied to minimize the volumetric shrinkage and warpage of hip liners as an injection-molded biomedical part. The hip liners included an ultrahigh molecular weight polyethylene (UHMWPE) liner and UHMWPE reinforced with a nano-hydroxyapatite (nHA) liner. The shrinkage and warpage values of the hip liners were generated by simulation of the injection molding process using Autodesk Moldflow. The RBF model was used to build an approximate function relationship between the objectives and the process parameters. The process parameters, including mold temperature, melt temperature, injection time, packing time, packing pressure, coolant temperature, and type of liner, were surveyed to find the interaction effects of them on the shrinkage and warpage of the liners. The results indicated that the addition of nHA helps the liners to obtain more dimensional stability. The model was validated by the k-fold cross validation technique. Finally, the model revealed the optimal process conditions to achieve the minimized shrinkage and warpage simultaneously for various weights.
AB - In this study, a multi-objective design optimization method based on a radial basis function (RBF) model was applied to minimize the volumetric shrinkage and warpage of hip liners as an injection-molded biomedical part. The hip liners included an ultrahigh molecular weight polyethylene (UHMWPE) liner and UHMWPE reinforced with a nano-hydroxyapatite (nHA) liner. The shrinkage and warpage values of the hip liners were generated by simulation of the injection molding process using Autodesk Moldflow. The RBF model was used to build an approximate function relationship between the objectives and the process parameters. The process parameters, including mold temperature, melt temperature, injection time, packing time, packing pressure, coolant temperature, and type of liner, were surveyed to find the interaction effects of them on the shrinkage and warpage of the liners. The results indicated that the addition of nHA helps the liners to obtain more dimensional stability. The model was validated by the k-fold cross validation technique. Finally, the model revealed the optimal process conditions to achieve the minimized shrinkage and warpage simultaneously for various weights.
KW - cross validation
KW - design of experiment
KW - injection molding process
KW - multi-objective optimization
KW - radial basis function
UR - http://www.scopus.com/inward/record.url?scp=85064392748&partnerID=8YFLogxK
U2 - 10.1515/polyeng-2018-0359
DO - 10.1515/polyeng-2018-0359
M3 - Article
VL - 39
SP - 481
EP - 492
JO - Journal of Polymer Engineering
JF - Journal of Polymer Engineering
SN - 0250-8079
IS - 5
ER -