Improving blow molding machine performance with neural networks

Thomas Lee Hemminger, Robert E. Farrell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Several methods can be employed to create plastic products such as injection molding, compression and transfer molding, and blow molding. Blow molding is a procedure employed to create hollow plastic containers such as those used to contain liquids and solids in the wholesale and retail markets. An important aspect of blow molding is the measurement of the wall thickness of semi-liquid plastic before the molding procedure has been initiated. Contained herein is initial research on a non-invasive approach for wall thickness measurements of semi-liquid plastics through the utilization of computerized tomography and neural networks. This technique can be extended to other fields of research as well, such as those related to the development of glass and ceramic products.

Original languageEnglish (US)
Title of host publicationIntelligent Engineering Systems Through Artificial Neural Networks
PublisherASME
Pages861-866
Number of pages6
Volume7
Publication statusPublished - 1997
EventProceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97 - St.Louis, MO, USA
Duration: Nov 9 1997Nov 12 1997

Other

OtherProceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97
CitySt.Louis, MO, USA
Period11/9/9711/12/97

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All Science Journal Classification (ASJC) codes

  • Software

Cite this

Hemminger, T. L., & Farrell, R. E. (1997). Improving blow molding machine performance with neural networks. In Intelligent Engineering Systems Through Artificial Neural Networks (Vol. 7, pp. 861-866). ASME.