On Possibilities to Accelerate Engineering Application of Shape Memory Alloys

Ionaitis, R. R.; Chernov, D. B.

doi:10.1051/jp4:19975102

Cited by 1 publication

(1 citation statement)

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“…One reason for this is that the available information is often not transparent and shows a strong specialization in material science, which makes it difficult for design engineers to directly benefit from the information available [1,2]. Moreover, the complex material behavior makes it difficult to predict the characteristics of components of SMA reliably.…”

Section: Introductionmentioning

confidence: 96%

Knowledge and Method Base for Shape Memory Alloys

Welp

Breidert

2004

Materialwissenschaft Werkst

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It is often impossible for design engineers to decide whether it is possible to use shape memory alloys (SMA) for a particular task. In case of a decision to use SMA for product development, design engineers normally do not know in detail how to proceed in a correct and beneficial way. In order to support design engineers who have no previous knowledge about SMA and to assist in the transfer of results from basic research to industrial practice, an essential knowledge and method base has been developed. Through carefully conducted literature studies and patent analysis material and design information could be collected. All information is implemented into a computer supported knowledge and method base that provides design information with a particular focus on the conceptual and embodiment design phase. The knowledge and method base contains solution principles and data about effects, material and manufacturing as well as design guidelines and calculation methods for dimensioning and optimization. A browser-based user interface ensures that design engineers have immediate access to the latest version of the knowledge and method base. In order to ensure a user friendly application, an evaluation with several test users has been carried out. Reactions of design engineers from the industrial sector underline the need for support related to knowledge on SMA.

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Section: Introductionmentioning

confidence: 96%