The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator

Smart tools are limited by actuation–sensing integration and structural redundancy, making it difficult to achieve compactness, ultra-precision feed, and immediate feedback. This paper proposes a self-sensing giant magnetostrictive actuator-based turning tool (SSGMT), which enables simultaneous actu...

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Main Authors: Dongjian Xie, Qibo Wu, Yahui Zhang, Yikun Yang, Bintang Yang, Cheng Zhang
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Actuators
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Online Access:https://www.mdpi.com/2076-0825/14/6/302
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author Dongjian Xie
Qibo Wu
Yahui Zhang
Yikun Yang
Bintang Yang
Cheng Zhang
author_facet Dongjian Xie
Qibo Wu
Yahui Zhang
Yikun Yang
Bintang Yang
Cheng Zhang
author_sort Dongjian Xie
collection DOAJ
description Smart tools are limited by actuation–sensing integration and structural redundancy, making it difficult to achieve compactness, ultra-precision feed, and immediate feedback. This paper proposes a self-sensing giant magnetostrictive actuator-based turning tool (SSGMT), which enables simultaneous actuation and output sensing without external sensors. A multi-objective optimization model is first established to determine the key design parameters of the SSGMT to improve magnetic transfer efficiency, system compactness, and sensing signal quality. Then, a dynamic hysteresis model with a Hammerstein structure is developed to capture its nonlinear characteristics. To ensure accurate positioning and a robust response, a hybrid control strategy combining feedforward compensation and adaptive feedback is implemented. The SSGMT is experimentally validated through a series of tests including self-sensing displacement accuracy and trajectory tracking under various frequencies and temperatures. The prototype achieves nanometer-level resolution, stable output, and precise tracking across different operating conditions. These results confirm the feasibility and effectiveness of integrating actuation and sensing in one structure, providing a promising solution for the application of smart turning tools.
format Article
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institution Kabale University
issn 2076-0825
language English
publishDate 2025-06-01
publisher MDPI AG
record_format Article
series Actuators
spelling doaj-art-739db0a5e53c41dabfa3fa26340aa9822025-08-20T03:26:16ZengMDPI AGActuators2076-08252025-06-0114630210.3390/act14060302The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive ActuatorDongjian Xie0Qibo Wu1Yahui Zhang2Yikun Yang3Bintang Yang4Cheng Zhang5State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaState Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, ChinaFacility Design and Instrumentation Institute, China Aerodynamics Research and Development Center, Mianyang 621000, ChinaSmart tools are limited by actuation–sensing integration and structural redundancy, making it difficult to achieve compactness, ultra-precision feed, and immediate feedback. This paper proposes a self-sensing giant magnetostrictive actuator-based turning tool (SSGMT), which enables simultaneous actuation and output sensing without external sensors. A multi-objective optimization model is first established to determine the key design parameters of the SSGMT to improve magnetic transfer efficiency, system compactness, and sensing signal quality. Then, a dynamic hysteresis model with a Hammerstein structure is developed to capture its nonlinear characteristics. To ensure accurate positioning and a robust response, a hybrid control strategy combining feedforward compensation and adaptive feedback is implemented. The SSGMT is experimentally validated through a series of tests including self-sensing displacement accuracy and trajectory tracking under various frequencies and temperatures. The prototype achieves nanometer-level resolution, stable output, and precise tracking across different operating conditions. These results confirm the feasibility and effectiveness of integrating actuation and sensing in one structure, providing a promising solution for the application of smart turning tools.https://www.mdpi.com/2076-0825/14/6/302giant magnetostrictive materialself-sensing actuatormagnetic–mechanical–thermal multi-physical field couplingprecision actuationsensing technology
spellingShingle Dongjian Xie
Qibo Wu
Yahui Zhang
Yikun Yang
Bintang Yang
Cheng Zhang
The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
Actuators
giant magnetostrictive material
self-sensing actuator
magnetic–mechanical–thermal multi-physical field coupling
precision actuation
sensing technology
title The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
title_full The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
title_fullStr The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
title_full_unstemmed The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
title_short The Design of a Turning Tool Based on a Self-Sensing Giant Magnetostrictive Actuator
title_sort design of a turning tool based on a self sensing giant magnetostrictive actuator
topic giant magnetostrictive material
self-sensing actuator
magnetic–mechanical–thermal multi-physical field coupling
precision actuation
sensing technology
url https://www.mdpi.com/2076-0825/14/6/302
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