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Guo F, Li Y, Ma G, Zhang M, Fu J, Luo C, Yuan L, Long Y. Overview of 3D Printing Multimodal Flexible Sensors. ACS APPLIED MATERIALS & INTERFACES 2024. [PMID: 39565686 DOI: 10.1021/acsami.4c14219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2024]
Abstract
With the growing demand for flexible sensing systems and precision engineering, there is an increasing need for sensors that can accurately measure and analyze multimode signals. 3D printing technology has emerged as a crucial tool in the development of multimodal flexible sensors due to its advantages in design flexibility and manufacturing complex structures. This paper provides a review of recent advancements in 3D printing technology within the field of multimode flexible sensors, with particular emphasis on the relevant working mechanisms involved in decoupling complex signals. First, the research status of 3D printed multimodal flexible sensors is discussed, including their responsiveness to different modal stimuli such as mechanics, temperature, and gas. Furthermore, it explores methods for decoupling multimodal signals through structural and material design, artificial intelligence, and other technologies. Finally, this paper summarizes current challenges such as limited material selection, difficulties in miniaturization integration, and crosstalk between multisignal outputs. It also looks forward to future research directions in this area.
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Affiliation(s)
- Fawei Guo
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Yu Li
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Guangmeng Ma
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Mingtao Zhang
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Jianglin Fu
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Chunyi Luo
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
| | - Lili Yuan
- Guangxi Key Laboratory of International Join for China-ASEAN Comprehensive Transportation, Nanning University, Nanning 530000, People's Republic of China
| | - Yu Long
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, Guangxi University, Nanning 530004, People's Republic of China
- Institute of Laser Intelligent Manufacturing and Precision Processing, School of Mechanical Engineering, Guangxi University, Nanning 530004, People's Republic of China
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Emon OF, Sun H, Rahim A, Choi JW. An Ionic Liquid-Based Stretchable Sensor for Measuring Normal and Shear Force. Soft Robot 2023; 10:1115-1125. [PMID: 37130312 DOI: 10.1089/soro.2022.0207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/04/2023] Open
Abstract
Soft and stretchable force sensors are widely used for health monitoring, robotics, prosthetics, and other applications. Soft force sensors with the capability of measuring both normal and shear force could offer even greater functionality and provide more information, particularly in the field of biomechanics. In this work, a new solid-state force sensor is proposed that can measure both normal and shear forces at the same time. The soft and stretchable sensor was fabricated using an ionic liquid (IL)/polymer network. Two separate IL-based polymer membranes were used to detect normal and shear forces. Sensor architecture and electrical wiring for normal, shear, and combined sensing were developed, and various material compositions for different sensor layers were investigated to find the combination that could achieve the optimum sensor performance. A basic material formulation for carbon nanotube-based electrodes, the IL/polymer network, and polymeric insulation layers was proposed. To configure a combined (normal and shear) sensor, separate sensors for normal and shear deformations were first designed and investigated. Later, a combined sensor was fabricated using a mold via screen printing, photocuring, and thermal curing. The combined sensor was evaluated under different force conditions. The results show that the sensor can reliably measure normal and shear forces. Moreover, the findings demonstrate a way to successfully modulate the sensitivity for normal and shear sensing by varying the material composition or geometric configuration, which provides flexibility for application-specific designs.
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Affiliation(s)
- Omar Faruk Emon
- Department of Mechanical and Industrial Engineering and University of New Haven, West Haven, Connecticut, USA
| | - Hao Sun
- Department of Chemistry and Chemical & Biomedical Engineering, University of New Haven, West Haven, Connecticut, USA
| | - Ahadur Rahim
- Department of Mechanical Engineering, The University of Akron, Akron, Ohio, USA
| | - Jae-Won Choi
- Department of Mechanical Engineering, The University of Akron, Akron, Ohio, USA
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Wang W, Wang J, Luo Y, Wang X, Song H. A Survey on Force Sensing Techniques in Robot-Assisted Minimally Invasive Surgery. IEEE TRANSACTIONS ON HAPTICS 2023; 16:702-718. [PMID: 37922188 DOI: 10.1109/toh.2023.3329172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/05/2023]
Abstract
Minimally invasive surgery (MIS) is commonly used in some robotic-assisted surgery (RAS) systems. However, many RAS lack the strength and tactile sensation of surgical tools. Therefore, researchers have developed various force sensing techniques in robot-assisted minimally invasive surgery (RMIS). This paper provides a systematic classification and review of force sensing approaches in the field of RMIS, with a particular focus on direct and indirect force sensing. In this survey, the relevant literature on various sensing principles, haptic sensor design standards, and sensing technologies between 2000 and 2022 is reviewed. This survey can also serve as a roadmap for future developments by identifying the shortcomings of the field and discussing the emerging trends in force sensing methods.
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Electrically Conductive Fused Deposition Modeling Filaments: Current Status and Medical Applications. CRYSTALS 2022. [DOI: 10.3390/cryst12081055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/04/2022]
Abstract
Fused Deposition Modeling (FDM) is one of the most popular three dimensional (3D) printing techniques especially among researchers. Recently, FDM has been widely developed and improved in many areas. One of these improvements is the introduction of electrically conductive filaments. In general, conductive filaments are usually made of conductive polymer composites. These composites consist of a thermoplastic material blended with carbon-based materials. The quantity of commercially available conductive filaments has grown significantly in recent years. This paper presents a sample of currently available conductive filaments (eight filaments were chosen). These samples were compared by measuring resistance value and highlighting resulted defects of each sample. Additionally, this paper searched and reviewed articles that used conductive FDM filaments in medical applications. These articles were collected and summarized in terms of name of filaments were used, the specific function of the printed conductive object, and name of the printer used to print the conductive object. In conclusion, the main purpose of this project is to facilitate the work of future medical researchers who would like to use commercially available conductive FDM filaments.
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Subad RASI, Saikot MMH, Park K. Soft Multi-Directional Force Sensor for Underwater Robotic Application. SENSORS (BASEL, SWITZERLAND) 2022; 22:3850. [PMID: 35632258 PMCID: PMC9146921 DOI: 10.3390/s22103850] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/17/2022] [Accepted: 05/17/2022] [Indexed: 01/27/2023]
Abstract
Tactile information is crucial for recognizing physical interactions, manipulation of an object, and motion planning for a robotic gripper; however, concurrent tactile technologies have certain limitations over directional force sensing. In particular, they are expensive, difficult to fabricate, and mostly unsuitable for underwater use. Here, we present a facile and cost-effective synthesis technique of a flexible multi-directional force sensing system, which is also favorable to be utilized in underwater environments. We made use of four flex sensors within a silicone-made hemispherical shell structure. Each sensor was placed 90° apart and aligned with the curve of the hemispherical shape. If the force is applied on the top of the hemisphere, all the flex sensors would bend uniformly and yield nearly identical readings. When force is applied from a different direction, a set of flex sensors would characterize distinctive output patterns to localize the point of contact as well as the direction and magnitude of the force. The deformation of the fabricated soft sensor due to applied force was simulated numerically and compared with the experimental results. The fabricated sensor was experimentally calibrated and tested for characterization including an underwater demonstration. This study would widen the scope of identification of multi-directional force sensing, especially for underwater soft robotic applications.
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Affiliation(s)
- Rafsan Al Shafatul Islam Subad
- Department of Mechanical Engineering, University of Massachusetts Dartmouth, 285 Old Westport Road, Dartmouth, MA 02747, USA;
| | - Md Mahmud Hasan Saikot
- Department of Mechanical Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh;
| | - Kihan Park
- Department of Mechanical Engineering, University of Massachusetts Dartmouth, 285 Old Westport Road, Dartmouth, MA 02747, USA;
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Zhou Z, Chen N, Zhong H, Zhang W, Zhang Y, Yin X, He B. Textile-Based Mechanical Sensors: A Review. MATERIALS (BASEL, SWITZERLAND) 2021; 14:6073. [PMID: 34683661 PMCID: PMC8538676 DOI: 10.3390/ma14206073] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 10/02/2021] [Accepted: 10/06/2021] [Indexed: 12/18/2022]
Abstract
Innovations related to textiles-based sensors have drawn great interest due to their outstanding merits of flexibility, comfort, low cost, and wearability. Textile-based sensors are often tied to certain parts of the human body to collect mechanical, physical, and chemical stimuli to identify and record human health and exercise. Until now, much research and review work has been carried out to summarize and promote the development of textile-based sensors. As a feature, we focus on textile-based mechanical sensors (TMSs), especially on their advantages and the way they achieve performance optimizations in this review. We first adopt a novel approach to introduce different kinds of TMSs by combining sensing mechanisms, textile structure, and novel fabricating strategies for implementing TMSs and focusing on critical performance criteria such as sensitivity, response range, response time, and stability. Next, we summarize their great advantages over other flexible sensors, and their potential applications in health monitoring, motion recognition, and human-machine interaction. Finally, we present the challenges and prospects to provide meaningful guidelines and directions for future research. The TMSs play an important role in promoting the development of the emerging Internet of Things, which can make health monitoring and everyday objects connect more smartly, conveniently, and comfortably efficiently in a wearable way in the coming years.
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Affiliation(s)
- Zaiwei Zhou
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; (Z.Z.); (H.Z.); (W.Z.)
| | - Nuo Chen
- Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China;
| | - Hongchuan Zhong
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; (Z.Z.); (H.Z.); (W.Z.)
| | - Wanli Zhang
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; (Z.Z.); (H.Z.); (W.Z.)
| | - Yue Zhang
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; (Z.Z.); (H.Z.); (W.Z.)
- Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou 350108, China
| | - Xiangyu Yin
- Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou 350108, China
- College of Chemical Engineering, Fuzhou University, Fuzhou 350108, China
| | - Bingwei He
- College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China; (Z.Z.); (H.Z.); (W.Z.)
- Fujian Engineering Research Center of Joint Intelligent Medical Engineering, Fuzhou 350108, China
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