Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0

Srivastava, Rupal; Alsamhi, Saeed Hamood; Murray, Niall; Devine, Declan M.

doi:10.3390/s22186802

Cited by 19 publications

(12 citation statements)

References 113 publications

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“…Sleep mode allows the sensor node to shut down activities, such as data processing and communication, and remain in a state of low power consumption. 19 It has many benefits for IoT-enabled industrial environments, including reducing overall power consumption, increasing the lifespan of the sensor nodes, and providing better reliability to the overall system. In addition, sensor nodes using sleep mode can remain dormant until an external event, such as an increase in temperature or humidity or a change in the production line, triggers them.…”

Section: Node Level Optimizationmentioning

confidence: 99%

“…Sleep mode sensor nodes : Sensor nodes operating in sleep mode can be an extremely effective way of reducing energy consumption and increasing efficiency in Industry 4.0. Sleep mode allows the sensor node to shut down activities, such as data processing and communication, and remain in a state of low power consumption 19 . It has many benefits for IoT‐enabled industrial environments, including reducing overall power consumption, increasing the lifespan of the sensor nodes, and providing better reliability to the overall system.…”

Section: Introductionmentioning

confidence: 99%

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A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

Sivakumar,

Logeshwaran,

Kannadasan

et al. 2024

Energy Science & Engineering

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Industry 4.0 is a term used to refer to the fourth industrial revolution, characterized by the introduction of new technologies, such as the Internet of Things, Big Data, and artificial intelligence (AI). As the number of connected devices in industrial settings grows, energy optimization of such sensors becomes increasingly essential. This paper proposes an energy optimization framework for sensor nodes in Industry 4.0. The framework is based on energy efficiency, energy conservation, and energy harvesting principles. It is designed to optimize the energy consumption of sensor nodes while maintaining their performance. The framework includes dynamic power management, scheduling, and harvesting techniques to reduce energy consumption while maintaining performance. In addition, the framework provides a comprehensive approach to energy optimization, including advanced analytics and AI to predict energy consumption and optimize energy use. The proposed model reached 96.93% sensitivity, 91.36% false discovery rate, 11.28% false omission rate, 90.12% prevalence threshold, and 91.24% threat score. The proposed framework is expected to improve the performance of sensor nodes in Industry 4.0, enabling increased efficiency and cost savings.

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Section: Node Level Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

Sivakumar,

Logeshwaran,

Kannadasan

et al. 2024

Energy Science & Engineering

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“…These properties make them ideal for creating 4D printed objects that can change shape in response to temperature. For example, a 4D printed structure made from shape memory alloys could be designed to close or open in response to changes in temperature, which can improve energy efficiency in buildings (Zhang et al, 2022b;Srivastava et al, 2022;Chiu et al, 2022;Hariri et al, 2022;Li et al, 2022;Ruth et al, 2022).…”

Section: Smart Materialsmentioning

confidence: 99%

4D Printing: Technology Overview and Smart Materials Utilized

Kantaros¹,

Ganetsos²,

Piromalis³

2023

Journal of Mechatronics and Robotics

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4D printing is a cutting-edge technology that allows for the creation of dynamic, self-assembling structures by utilizing cutting edge, newly introduced smart materials. It builds upon traditional 3D printing by adding the dimension of time, allowing printed objects to change shape or behavior over time. This is achieved through the use of smart materials, such as shape memory alloys or polymers, which respond to external stimuli such as heat or moisture. These materials are engineered to have specific properties that can be triggered by specific conditions such as temperature, humidity, light, or other physical forces. 4D printing enables the creation of structures that can adapt to their environment and perform specific functions, such as objects that change shape in response to temperature changes, or structures that can self-assemble in response to a specific trigger. Overall, 4D printing is an exciting and rapidly advancing technology that has the potential to revolutionize the way we design and create structures. The ability to create structures that can change shape or behavior over time opens up new possibilities for a wide range of applications. As the technology continues to evolve, we can expect to see more innovative uses of 4D printing in a wide range of scientific fields such as architecture, aerospace, and biomedical engineering demanding the creation of highly complex and dynamic structures that can adapt to changing environments.

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“…Reference [ 22 ] described a soft haptic glove actuated with SMA. Reference [ 23 ] studied SMA-based smart wearables paired with robotic applications for human–robot interaction. The hysteresis phenomenon of interactive actuation from smart materials is likely due to the elastic property of materials with a lag when a force or field is removed; the subsequent hysteresis effects are experienced with a certain delay in time, and this could cause undesirable oscillations leading to the degradation of the tracking performance and even instability if neglected [ 24 ].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear Vibration Control Experimental System Design of a Flexible Arm Using Interactive Actuations from Shape Memory Alloy

Jin

Deng

2023

Sensors

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The flexible arm easily vibrates due to its thin structural characteristics, which affect the operation accuracy, so reducing the vibration of the flexible arm is a significant issue. Smart materials are very widely used in the research topic of vibration suppression. Considering the hysteresis characteristic of the smart materials, based on previous simulation research, this paper proposes an experimental system design of nonlinear vibration control by using the interactive actuation from shape memory alloy (SMA) for a flexible arm. The experiment system was an interactive actuator–sensor–controller combination. The vibration suppression strategy was integrated with an operator-based vibration controller, a designed integral compensator and the designed n-times feedback loop. In detail, a nonlinear vibration controller based on operator theory was designed to guarantee the robust stability of the flexible arm. An integral compensator based on an estimation mechanism was designed to optimally reduce the displacement of the flexible arm. Obtaining the desired tracking performance of the flexible arm was a further step, by increasing the n-times feedback loop. From the three experimental cases, when the vibration controller was integrated with the designed integral compensator, the vibration displacement of the flexible arm was much reduced compared to that without the integral compensator. Increasing the number of n-times feedback loops improves the tracking performance. The desired vibration control performance can be satisfied when n tends to infinity. The conventional PD controller stabilizes the vibration displacement after the 7th vibration waveform, while the vibration displacement approaches zero after the 4th vibration waveform using the proposed vibration control method, which is proved to be faster and more effective in controlling the flexible arm’s vibration. The experimental cases verify the effectiveness of the proposed interactive actuation vibration control approach. It is observed from the experimental results that the vibration displacement of the flexible arm becomes almost zero within less time and with lower input power, compared with a traditional controller.

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Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0

Cited by 19 publications

References 113 publications

A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0

4D Printing: Technology Overview and Smart Materials Utilized

Nonlinear Vibration Control Experimental System Design of a Flexible Arm Using Interactive Actuations from Shape Memory Alloy

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