Assembly-free design for additive manufacturing of articulated components based on layered precision assignment

Xu, Jinghua; Sheng, Hongsheng; Zhan, Jiangtao; Zhang, Shuyou

doi:10.1080/0951192x.2022.2027018

Cited by 8 publications

(1 citation statement)

References 39 publications

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“…The process has been applied to producing prosthetic limbs for those in developing countries [2] as well as for use in creating novel compliant medical devices [3] and rehabilitation exo-skeleton devices [4]. Models of creatures, such as elephants and caterpillars, with moveable joints and soft elements have also been produced using the method [5,6,7], as well as reproductions of human spines [8]. Various types of joints and actuators have also been produced with 3D printing, using a range of materials, including metal universal joints [9], artificial rubber based Series Elastic Elements, or SEE's [10], flexible pneumatic and hydraulic actuators [11,12,13], sprung joints [14], Shape memory materials [15] and full complement bearing joints [16].…”

Section: Introductionmentioning

confidence: 99%

Non-Assembly 3D-Printed Walking Mechanism Utilising a Hexapod Gait

Jackson-Mills

Barber

Blight

et al. 2022

JAIT

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Small inspection robots can allow for the exploration of environments and the collection of data from dangerous or difficult to access areas. These robots can be custom built for specific tasks, but the design and assembly process for this can be costly, both in money and time. The use of 3D Printing in creating Non-Assembly mechanisms can assist in saving time and resources by reducing the number of different components required and removing the necessity for complex assembly tasks. This paper introduces a robot to explore the capabilities of this approach, by iterating on a previous example of a robot with Non-Assembly mechanisms. This explores how altering the size, mechanism type and accompanying control circuitry can affect the efficiency of the practice. Through developing on previous knowledge, this new walking robot improves on the previous iteration by creating a more robust and reliable system, more capable of effectively exploring challenging environments accurately, while still using practices designed to save on cost and production time.

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