2004
DOI: 10.1007/s00158-004-0472-2
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Optimal rapid multidisciplinary response networks: RAPIDDISK

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Cited by 14 publications
(3 citation statements)
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References 26 publications
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“…The tools such as knowledge based engineering (KBE) [30], neural networks [31] and response surface modelling (RSM) [32] have been developed in and for the environment where the FEA is conventionally used, whereby to be successfully applied they require additional conditions usually unavailable in the conceptualisation phase. The literature search revealed that there were no prior attempts to define and develop a systematic FEA approach that can be used more effectively in the design conceptualisation phase.…”
Section: Proposed Design Concept Evaluation Methodsmentioning
confidence: 99%
“…The tools such as knowledge based engineering (KBE) [30], neural networks [31] and response surface modelling (RSM) [32] have been developed in and for the environment where the FEA is conventionally used, whereby to be successfully applied they require additional conditions usually unavailable in the conceptualisation phase. The literature search revealed that there were no prior attempts to define and develop a systematic FEA approach that can be used more effectively in the design conceptualisation phase.…”
Section: Proposed Design Concept Evaluation Methodsmentioning
confidence: 99%
“…The designers have been attracted by the Multidisciplinary Design and Optimization (MDO) methods (SobieszczanskiSobieski and Haftka 1997) and obtained success in designing some industrial products (Huang et al 2014;Berci et al 2014;Liem et al 2014;Chuang et al 2008;Kodiyalam et al 2004;Coelho et al 2008). Nagendra et al (2005) proposed a technique developed by RAPIDDISK which provides an optimal preliminary shape and design using MDO method. Rao et al (2007) adopted MDO method to optimize the disk with multiobjective including weight, manufacturing cost and fatigue life.…”
Section: Introductionmentioning
confidence: 99%
“…Attempts to improve on these disadvantages by applying traditional intelligent tools for reduction of the FEA resource requirements are usually unsuccessful. The tools such as knowledge-based engineering (KBE) [Chapman and Pinfold (2001)], neural networks [Nagendra et al (2005)] and response surface modeling (RSM) [Uikey et al (2005)] have been developed in and for the environment where the FEA is traditionally used, and hence in order to be successfully applied they require additional provisions that are usually not available in early stages of design. The literature search revealed that there were no prior attempts to define and develop a systematic FEA approach that can be used more effectively in the design conceptualization phase.…”
Section: Introductionmentioning
confidence: 99%