Industrial design of 3D printing technology combined with assisted medical service robots

Jing Zhang
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Abstract

With the continuous development and maturation of the era of intelligent manufacturing, there is a perpetual emergence of new information technology, control technology, and material technology, which are constantly accelerating 3D printing technology to advance to an unprecedented level. To achieve the safety perception interaction ability of auxiliary medical service robots, this study develops a direct write hybrid 3D printing auxiliary medical service robot system, enabling it to achieve temperature sensing function. Moreover, combined with linear interpolation algorithms, 3D printing technology has been improved to achieve improvement of system control accuracy. The results indicate that the apparent viscosity of the printing material Ag-TPU is still greater than 2000 Pa s at a rate of 87 s−1. The change in resistance during 20% stretching is within 1.2 Ω, and the change is around 3 Ω during 30% stretching. When the preset temperature is 39.2°C, the absolute deviation is the smallest, about 0.03. When the preset temperature is 41.7°C, the maximum value is approximately 0.17. The absolute error of real-time temperature collection for auxiliary medical service robots is less than 0.2°C at temperatures ranging from 38 to 42°C. Over the past 30 days of overall operation, the system has had 970 users, 3270 interactions, and 99.4% availability. This system improves the perception and interaction ability of auxiliary medical service robots, which has certain practical potential in the field of medical services.

3D打印技术结合辅助医疗服务机器人的工业设计
随着智能制造时代的不断发展和成熟,新的信息技术、控制技术、材料技术不断涌现,不断加速3D打印技术向前所未有的高度迈进。为实现医疗辅助机器人的安全感知交互能力,本研究开发了直写混合3D打印医疗辅助机器人系统,使其实现温度传感功能。并结合线性插值算法对3D打印技术进行了改进,实现了系统控制精度的提高。结果表明,印刷材料Ag-TPU的表观粘度仍大于2000 Pa s,速率为87 s−1。拉伸20%时阻力变化量在1.2 Ω以内,拉伸30%时阻力变化量在3 Ω左右。当预设温度为39.2℃时,绝对偏差最小,约为0.03℃。当预设温度为41.7℃时,最大值约为0.17。在38 ~ 42℃的温度范围内,医疗辅助服务机器人实时温度采集的绝对误差小于0.2℃。在过去30天的整体运行中,系统有970个用户,3270个交互,99.4%的可用性。该系统提高了辅助医疗服务机器人的感知和交互能力,在医疗服务领域具有一定的实用潜力。
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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CiteScore
2.60
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