ANALYTICAL MODEL FOR PREDICTING THE CHARACTERISTIC PROPERTIES OF SHAPE MEMORY ALLOYS

Passive vibration isolation is a key factor in achieving precise results in milling processes and extending the service life of tools. An innovative approach involves using damping elements made from NiTi shape memory alloys. This approach is based on the alloys ability to convert large amounts of mechanical energy into thermal energy through the pseudo-elastic effect, with the pronounced transformation hysteresis of the material providing its damping potential. While previous experimental studies have offered valuable insights, analytical models are essential for accurately predicting the complex behavior of these materials. Therefore, the present work aims to develop an analytical model capable of predicting the characteristic properties of shape memory alloys under dynamic compressive loading. This not only offers a deeper understanding of the underlying physical mechanisms but also provides a solid foundation for the optimization and application of these alloys in real-world scenarios.

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Publication Details

Journal
MM Science Journal
Published
2025-02-26
DOI
https://doi.org/10.17973/mmsj.2025_03_2024122
Primary Topic
Industrial Technology and Control Systems
Type
article
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article

ANALYTICAL MODEL FOR PREDICTING THE CHARACTERISTIC PROPERTIES OF SHAPE MEMORY ALLOYS

Christian Brecher, Niclas Klumpen, Stephan Neus, MATTHIAS MARX
MM Science Journal
Industrial Technology and Control Systems
article

ANALYTICAL MODEL FOR PREDICTING THE CHARACTERISTIC PROPERTIES OF SHAPE MEMORY ALLOYS

Christian Brecher, Niclas Klumpen, Stephan Neus, MATTHIAS MARX
article en

Abstract

Passive vibration isolation is a key factor in achieving precise results in milling processes and extending the service life of tools. An innovative approach involves using damping elements made from NiTi shape memory alloys. This approach is based on the alloys ability to convert large amounts of mechanical energy into thermal energy through the pseudo-elastic effect, with the pronounced transformation hysteresis of the material providing its damping potential. While previous experimental studies have offered valuable insights, analytical models are essential for accurately predicting the complex behavior of these materials. Therefore, the present work aims to develop an analytical model capable of predicting the characteristic properties of shape memory alloys under dynamic compressive loading. This not only offers a deeper understanding of the underlying physical mechanisms but also provides a solid foundation for the optimization and application of these alloys in real-world scenarios.

MM Science JournalVol. 2025(1)
Openalex Percentile: Top 96%
Industrial Technology and Control Systems
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