Assessment of a Computationally Efficient Method for Industrial Simulations of Transient Heat Transfer During Autoclave Curing

Author:

Catalani Iacopo1,Balduzzi Francesco1,Mariani Stefano2,Ferrara Giovanni1,Bianchini Alessandro1

Affiliation:

1. Department of Industrial Engineering, Università degli Studi di Firenze, via di Santa Marta 3, Firenze 50139, Italy

2. Italmatic Presse e Stampi, via Tazio Nuvolari, 38, Capannori, LU 55061, Italy

Abstract

Abstract A numerical approach for transient computational fluid dynamics analyses of the autoclave curing process is presented, aimed at finding a trade-off between accuracy and computational cost that can make it industry-affordable. A steady-state, conjugated heat transfer analysis is carried out for the simultaneous simulation of solid and fluid regions to obtain a spatial distribution of the heat-transfer coefficient. This distribution and the curing temperature diagram are then used as boundary conditions for a transient heat-transfer simulation of the solid parts only. Results are compared to both experiments and coupled fluid–solid, steady-state conjugated heat-transfer simulations proving that the proposed methodology is accurate and less computationally expensive than a fully coupled, fluid–solid simulation.

Publisher

ASME International

Subject

Mechanical Engineering,Mechanics of Materials,Safety, Risk, Reliability and Quality

Reference12 articles.

1. An Efficient Thermal Cure Profile Design Method for Autoclave Curing of Large Size Mold;Int. J. Adv. Manuf. Technol.,2021

2. Virtual Autoclave Implementation for Improved Composite Part Quality and Productivity;CEAS Aeronaut. J.,2013

3. Curing of Epoxy Matrix Composites;J. Compos. Mater.,1983

4. Effect of Curing Overheating on Interlaminar Shear Strength and Its Modelling in Thick FRP Laminates;Int. J. Adv. Manuf. Technol.,2016

5. A Finite Element Approach for Cure Simulation of Thermosetting Matrix Composites;Comput. Struct.,1997

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3