Jian Li

Dr. Jian Li

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2020 in Materials & Design
Verified
Journal Article
Open access
YYYan Yao
Yan Yao
LWLizhen Wang
Lizhen Wang
JLJian Li
Jian Li
STShan Tian
Shan Tian
MZMing Zhang
Ming Zhang
Yubo FanYubo Fan
Yubo Fan

9 October 2023 in IEEE/ASME Transactions on Mechatronics
Verified
Journal Article
Closed access
YJYongkang Jiang
Yongkang Jiang
XTXin Tong
Xin Tong
JLJian Li
Jian Li
HLHui Li
Hui Li
CCChongjing Cao
Chongjing Cao
YLYingtian Li
Yingtian Li
Leveraging the instability in bistable structures to rapidly release the stored energy is often observed in nature to improve survival and reproduction. Bistable actuators have endowed soft grippers with superior performances such as fast response and self-lock ability. However, current bistable grippers are merely determined by their structural parameters in the design processes, and their grasping modes are usually restricted. In this article, we propose a novel type of reprogrammable bistable actuators. We introduce the design, modeling, and verification of the actuators. The results show that when reprogrammed to its ultrasensitive state with a minimal energy barrier, the trigger force required to induce the fast snap-through can be reduced to less than 0.005 times of its maximum value. In this process, only a minimal energy of 0.001 mJ was needed to trigger the fast energy release of 13.1 mJ. To demonstrate the advances and uniqueness of the proposed actuator, we also prototyped multiple grippers for multimodal, fast, and ultrasensitive grasping. In the ultrasensitive state, the gripper was able to respond to the contact of the swimming fish and capture it in 0.18 s. This work broadens the frontiers of bistable actuators in the design of functional robotic grippers.

1 June 2021 in Computers in Biology and Medicine
Verified
Journal Article
Open access
YYYan Yao
Yan Yao
ZMZhongjun Mo
Zhongjun Mo
GWGang Wu
Gang Wu
JGJunchao Guo
Junchao Guo
JLJian Li
Jian Li
Yubo FanYubo Fan
Yubo Fan
Personalized plates (P-Plates) could provide improved clinical outcomes in joint fusion by enabling perfect geometric matching between irregular bone and implants. However, there is no unified application framework for P-Plates for joint fusion. The objective of this study was to develop such a framework for P-Plates for tibiotalocalcaneal arthrodesis. A patient-specific bone model was constructed based on CT images, and the P-Plate was preliminarily designed to match the bones. Finite element method was used to optimize the stress distribution and to evaluate the biomechanical performance of the P-Plate by comparing it with a traditional plate (T-Plate). Then, the P-Plate was manufactured via electron beam melting and implanted into the foot of a patient. Increasing the size of the preliminary designed plate alleviated the stress concentration and reduced the risk of failure. The maximum stresses of the plate and screw (214.3 MPa, 99.05 MPa) and the maximum tensile force of the screw in the P-Plate (181.4 N) fixation system were lower than those in the T-Plate (217.4 MPa, 255.4 MPa, and 230.1 N, respectively). The P-Plate was well-matched to the bone, and no complications occurred. The P-Plate achieved American Orthopaedic Foot & Ankle Society and Short-Form-36 scores of 64 and 75, respectively, 36 months post operation, which suggests that it could improve clinical outcomes. The design and fabrication methods, as well as mechanical and postoperative performance evaluation methods, for the P-Plate were systematically developed and provide a reference for constructing a unified application framework for P-Plate use in tibiotalocalcaneal arthrodesis.

25 July 2024 in Computers in Industry
Verified
Journal Article
Closed access
XZXiangyan Zhang
Xiangyan Zhang
ZJZhong Jiang
Zhong Jiang
HYHong Yang
Hong Yang
YMYadong Mo
Yadong Mo
LZLinkun Zhou
Linkun Zhou
SWShimin Wei
Shimin Wei

1 November 2018 in BioMed Research International
Verified
Journal Article
Open access
PDF file
YZYingying Zhang
Yingying Zhang
YXYanghui Xing
Yanghui Xing
JLJian Li
Jian Li
ZZZhiqiang Zhang
Zhiqiang Zhang
HLHuiqin Luan
Huiqin Luan
Yubo FanYubo Fan
Yubo Fan
Osteogenic differentiation of cells has considerable clinical significance in bone defect treatment, and cell behavior is linked to extracellular matrix stiffness. This study aimed to determine how matrix stiffness affects cell morphology and subsequently regulates the osteogenic phenotype of osteogenesis precursor cells. Four PDMS substrates were prepared with stiffness corresponding to the elastic modulus ranging from 0.6 MPa to 2.7 MPa by altering the Sylgard 527 and Sylgard 184 concentrations. MC3T3-E1 cells were cultured on the matrices. Cell morphology, vinculin expression, and key osteogenic markers, Col I, OCN, OPN, and calcium nodule, were examined. The activity and expression level of Yes-associated protein (YAP) were evaluated. Results showed that cell spreading exhibited no correlation with the stiffness of matrix designed in this paper, but substratum stiffness did modulate MC3T3-E1 osteogenic differentiation. Col I, OPN, and OCN proteins were significantly increased in cells cultured on soft matrices compared with stiff matrices. Additionally, cells cultured on the 1:3 ratio matrices had more nodules than those on other matrices. Accordingly, cells on substrates with low stiffness showed enhanced expression of the osteogenic markers. Meanwhile, YAP expression was downregulated on soft substrates although the subcellular location was not affected. Our results provide evidence that matrix stiffness (elastic modulus ranging from 0.6 MPa to 2.7 MPa) affects the osteogenic differentiation of MC3T3-E1, but it is not that “the stiffer, the better” as showed in some of the previous studies. The optimal substrate stiffness may exist to promote osteoblast differentiation. Cell differentiation triggered by the changes in substrate stiffness may be independent of the YAP signal. This study has important implications for biomaterial design and stem cell-based tissue engineering.

19 March 2025 in Expert Systems with Applications
Verified
Journal Article
Closed access
XZXiangyan Zhang
Xiangyan Zhang
XLXuexiu Liang
Xuexiu Liang
YZYing Zhang
Ying Zhang
JLJian Li
Jian Li
SWShimin Wei
Shimin Wei