Proposal of forceps force limiter design using leaf spring buckling

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION
S. Noda, Yasunori Tokuoka, S. Kuriu, Tadashi Ishida
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引用次数: 1

Abstract

To prevent accidents in minimally invasive surgeries, force limiters have been developed for forceps grippers. When a force limiter is in use, if the absolute value of its spring constant is reduced, the risk of damage to the organs decreases. This paper proposes the use of a leaf spring buckling mechanism as a force limiter for forceps. The results obtained indicate that the spring constant of a buckled leaf spring is lower than that of a normal coil spring. Furthermore, the use of a leaf spring allows the independent adjustment of its thickness and width, based on the stress and force values. This enables an easy calibration of the threshold value. In the experiments, the spring constant of the buckled leaf spring was $$1.5 \times 10^{-1}$$ 1.5 × 10 - 1  N/mm, which is half of that of a normal coil spring. After calibrating the gripping force, it was confirmed that the force limiter reduced the extent of damage to the dummy organs in the ex vivo experiments.
利用板簧屈曲设计钳子限力器的建议
为了防止微创手术中的事故,已经为钳子钳开发了力限制器。当使用力限制器时,如果其弹簧常数的绝对值降低,则器官受损的风险降低。本文提出使用板簧屈曲机构作为钳子的力限制器。结果表明,弯折板簧的弹簧常数低于普通螺旋弹簧的弹簧常数。此外,板簧的使用允许根据应力和力值独立调整其厚度和宽度。这使得能够容易地校准阈值。在实验中,屈曲板簧的弹簧常数为$1.5\x10^{-1}$1.5×10-1N/mm,是普通螺旋弹簧的一半。在校准抓握力后,证实了在离体实验中,力限制器降低了对假人器官的损伤程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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