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A rapid virtual autoclave for carbon fiber reinforced plastics

Více o knize

Structural carbon fiber reinforced plastic parts are typically produced through autoclave processing for high-performance aerospace applications, necessitating high quality and robust manufacturing processes. Manufacturing process simulation plays a crucial role in investigating physical effects and mechanisms, increasingly used to predict and optimize manufacturing for superior part quality at reduced costs. Given the complex manufacturing environment with multi-physics characteristics, there is a pressing need for an efficient, cost-effective numerical methodology supported by systematic study. This thesis addresses the process modeling, simulation, thermal measurement, and optimization in autoclave processing for composite manufacturing. It offers accurate and efficient thermal analysis and optimization, enhancing process control and ensuring the quality of composite parts. The developed framework is applicable to larger dimensions and full-scale tools in aerospace structures, enabling quick delivery of production guidelines and optimization strategies. This methodology significantly reduces costs in the design and manufacturing phases, making composite manufacturing more efficient and economical.

Nákup knihy

A rapid virtual autoclave for carbon fiber reinforced plastics, Junhong Zhu

Jazyk
Rok vydání
2023
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Titul
A rapid virtual autoclave for carbon fiber reinforced plastics
Jazyk
anglicky
Vydavatel
Logos Berlin
Rok vydání
2023
Vazba
měkká
ISBN10
3832556125
ISBN13
9783832556129
Série
Anotace
Structural carbon fiber reinforced plastic parts are typically produced through autoclave processing for high-performance aerospace applications, necessitating high quality and robust manufacturing processes. Manufacturing process simulation plays a crucial role in investigating physical effects and mechanisms, increasingly used to predict and optimize manufacturing for superior part quality at reduced costs. Given the complex manufacturing environment with multi-physics characteristics, there is a pressing need for an efficient, cost-effective numerical methodology supported by systematic study. This thesis addresses the process modeling, simulation, thermal measurement, and optimization in autoclave processing for composite manufacturing. It offers accurate and efficient thermal analysis and optimization, enhancing process control and ensuring the quality of composite parts. The developed framework is applicable to larger dimensions and full-scale tools in aerospace structures, enabling quick delivery of production guidelines and optimization strategies. This methodology significantly reduces costs in the design and manufacturing phases, making composite manufacturing more efficient and economical.