Optimal cure cycles for manufacturing of thick composite parts using multi-objective genetic algorithms

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Abstract

The paper addresses the multi-objective optimization of the cure process of a Vacuum Assisted Resin Transfer Molding for components ranging from 40 to 100 mm thickness and aims to investigate the effect of thickness on the identification and quantification of a set of optimal cure profiles that minimize temperature overshoot and process time. Optimal cure solutions are sought among three dwells temperature profiles and are compared to the manufacturer’s recommended cure cycle (MRCC). The methodology successfully approximates the efficient fronts for the three different cases under study (40, 70 and 100mm) and points out the efficiency opportunity available compared to MRCC. In the case of 70 and 100 mm thick component temperature overshoot reductions of about 75% are achievable and 67% reduction in process time. The results also suggest a change in the objectives’ landscape for the higher thicknesses in the vertical region of the Pareto.
Original languageEnglish
Title of host publicationProceedings of the 18th European Conference on Composite Materials
Subtitle of host publication24-28th June 2018, Athens, Greece
EditorsSimon Watkins, Abdulghani Mohamed
Number of pages8
Publication statusPublished - 2018
EventECCM18: 18th European Conference on Composite Materials - Athens, Greece
Duration: 24 Jun 201828 Jun 2018
Conference number: 18
http://www.eccm18.org/

Conference

ConferenceECCM18: 18th European Conference on Composite Materials
Abbreviated titleECCM18
CountryGreece
CityAthens
Period24/06/1828/06/18
Internet address

Keywords

  • Cure
  • Optimization
  • thick components
  • FE

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    Struzziero, G., & Teuwen, J. (2018). Optimal cure cycles for manufacturing of thick composite parts using multi-objective genetic algorithms. In S. Watkins, & A. Mohamed (Eds.), Proceedings of the 18th European Conference on Composite Materials: 24-28th June 2018, Athens, Greece