Evidence map›Paper›PMID 38248587›Full record

ArticleBiomimetics (Basel, Switzerland)2023

Bionic Design and Optimization on the Flow Channel of a Legged Robot Joint Hydraulic Drive Unit Based on Additive Manufacturing.

Zhipeng Huang, Chenhao Du, Chenxu Wang, Qianran Sun, Yuepeng Xu, Lufang Shao, Bin Yu, Guoliang Ma, Xiangdong Kong

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zhipeng HuangSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.ORCID 0000-0001-6404-1344
Chenhao DuSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Chenxu WangSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Qianran SunSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Yuepeng XuSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Lufang ShaoSchool of Art and Design, Yanshan University, Qinhuangdao 066004, China.
Bin YuSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Guoliang MaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
Xiangdong KongSchool of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.

Funding

National Excellent NaturaScience Foundation of China 52122503Yanzhao's Young ScientistProject E2023203258)
6 · The paper itself

Abstract

The joint hydraulic drive unit (HDU) serves as a pivotal element in enabling the high-performance movements of legged robots. Functioning as the conduit linking the oil source and the actuator, the hydraulic flow channel significantly impacts actuator performance. Hence, optimizing the HDU flow channel becomes imperative, enhancing not only HDU efficiency but also the overall system performance. This paper introduces a novel approach by aligning the hydraulic flow channel of the joint HDU with the arteriovenous layout of the cardiac vascular system, departing from the conventional machining flow channel model. Through simulations determining the optimal range of the vascular branch radius and angle, this study guides the design optimization of the joint HDU flow channel. With the primary optimization goal of reducing pressure loss, the study compares simulation outcomes of various flow channel models-linear, variable excessive radius, and the multidimensional Bessel curve-tailored to suit the arrangement specifics of the joint HDU. Further validating these designs, the flow channels are fabricated using additive manufacturing for experimental verification. The integration of simulation analyses and pressure loss testing reveals a remarkable reduction of over 40% in pressure loss for the bionic flow channel compared to the conventional machining form. This empirical evidence strongly substantiates the bionic flow channel's superior efficacy in pressure loss reduction. The findings presented herein offer valuable insights for the development of low-loss flow channels in joint HDUs, thereby presenting a new avenue for designing energy-efficient, high power-to-weight ratio legged robots.

Indexed as

bionic flow channelincremental techniquejoint hydraulic drive unitpressure loss

Identifiers

PMID38248587
PMCPMC11154274

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.