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Development of a masticatory robot using a novel cable-driven linear actuator with bidirectional motion |
Haiying WEN1,2, Jianxiong ZHU1,2, Hui ZHANG1,2, Min DAI1, Bin LI3, Zhisheng ZHANG1(), Weiliang XU4(), Ming CONG5 |
1. School of Mechanical Engineering, Southeast University, Nanjing 211189, China 2. Engineering Research Center of New Light Sources Technology and Equipment, Ministry of Education, Nanjing 210009, China 3. Department of Stomatology, Zhongda Hospital Affiliated to Southeast University, Nanjing 210009, China 4. Department of Mechanical & Mechatronics Engineering, The University of Auckland, Auckland 1142, New Zealand 5. School of Mechanical Engineering, Dalian University of Technology, Dalian 116024, China |
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Abstract Masticatory robots are an effective in vitro performance testing device for dental material and mandibular prostheses. A cable-driven linear actuator (CDLA) capable of bidirectional motion is proposed in this study to design a masticatory robot that can achieve increasingly human-like chewing motion. The CDLA presents remarkable advantages, such as lightweight and high stiffness structure, in using cable amplification and pulley systems. This work also exploits the proposed CDLA and designs a masticatory robot called Southeast University masticatory robot (SMAR) to solve existing problems, such as bulky driving linkage and position change of the muscle’s origin. Stiffness analysis and performance experiment validate the CDLA’s efficiency, with its stiffness reaching 1379.6 N/mm (number of cable parts n = 4), which is 21.4 times the input wire stiffness. Accordingly, the CDLA’s force transmission efficiencies in two directions are 84.5% and 85.9%. Chewing experiments are carried out on the developed masticatory robot to verify whether the CDLA can help SMAR achieve a natural human-like chewing motion and sufficient chewing forces for potential applications in performance tests of dental materials or prostheses.
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Keywords
masticatory robot
cable-driven
linear actuator
parallel robot
stiffness analysis
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Corresponding Author(s):
Zhisheng ZHANG,Weiliang XU
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Just Accepted Date: 01 September 2022
Issue Date: 10 January 2023
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