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design and Application of 3d printing Based Personalised Pelvic Prostheses

Journal of Shanghai Jiaotong university(Science) 2021年第3期26卷 361-367页

作者： WU Junxiang LUO dinghao XIE Kai WANG Lei HAO Yongqiang Department of Orthopaedic Surgery Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai200011China Medical 3D Printing Innovation Research Center for Technology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghai200011China

In this paper,we describe the design and surgical process of personalised pelvic prostheses fixation through 3d printing according to different Enneking pelvic tumour zones:the ilium(Zone I),acetabulum(Zone II),and pubis and ischium(Zone III).A 3d model of the pelvis was reconstructed using imaging data,and the parameters on the planes of the acetabulum and pelvic incisal margin were *** main body of the pelvic prosthesis was constructed,a porous structure was designed on the bone-prosthesis interface,and the movement paths,lengths,and diameters of screws were *** combining the pathological model and osteotomy guide,limb salvage reconstruction was performed in patients with pelvic *** and postoperative data were compared to verify the prosthesis *** investigation revealed that the long-term survival of pelvic reconstruction prostheses depends on accurate matching with the bone defect area,good initial stability,and a porous structure to allow bone ingrowth.

关键词： pelvic prosthesis hemipelvic reconstruction personalised treatment 3d printing design solution

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An osteosarcoma-on-a-chip model for studying osteosarcoma matrix-cell interactions and drug responses

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Bioactive materials 2024年第4期34卷 1-16页

作者： Zuyan Lu XiangWan Miao Chenyu Zhang Binbin Sun Aleksander Skardal Anthony Atala Songtao Ai JiaNing Gong Yongqiang Hao Jie Zhao Kerong dai Shanghai Key Laboratory of Orthopedic Implants Department of Orthopedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Wake Forest Institute for Regenerative Medicine Wake Forest University Health SciencesWinston-SalemNorth CarolinaUSA Department of Biomedical Engineering The Ohio State UniversityColumbusOHUSA Department of Radiology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Key Laboratory of Smart Drug Delivery Ministry of EducationSchool of PharmacyFudan UniversityShanghaiChina Clinical and Translational Research Center for 3D Printing Technology Shanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Shanghai Frontiers Science Center of Degeneration and Regeneration in Skeletal System ShanghaiChina

Marrow niches in osteosarcoma(OS)are a specialized microenvironment that is essential for the maintenance and regulation of OS ***,existing animal xenograft models are plagued by variability,complexity,and high ***,we used a decellularized osteosarcoma extracellular matrix(dOsEM)loaded with extracellular vesicles from human bone marrow-derived stem cells(hBMSC-EVs)and OS cells as a bioink to construct a micro-osteosarcoma(micro-OS)through 3d *** micro-OS was further combined with a microfluidic system to develop into an OS-on-a-chip(OOC)with a built-in recirculating perfusion *** OOC system successfully integrated bone marrow niches,cell‒cell and cell-matrix crosstalk,and circulation,allowing a more accurate representation of OS characteristics in ***,the OOC system may serve as a valuable research platform for studying OS biological mechanisms compared with traditional xenograft models and is expected to enable precise and rapid evaluation and consequently more effective and comprehensive treatments for OS.

关键词： 3d printing Osteosarcoma-on-a-chip Organ-on-a-chip Bone marrow niches

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deep Reinforcement Learning for dynamic Error Compensation in 3d printing 19

Deep Reinforcement Learning for Dynamic Error Compensation i...

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19th IEEE International Conference on Automation Science and Engineering, CASE 2023

作者： Wang, dong Shen, Zhen dong, Xiangyang Fang, Qihang Wang, Weixing dong, Xisong Xiong, Gang The School of Artificial Intelligence University of Chinese Academy of Sciences Beijing100049 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China The Intelligent Manufacturing Center Qingdao Academy of Intelligent Industries Qingdao266109 China The State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing100190 China The Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan523808 China

ISBN: (纸本)9798350320695

In the 3d printing process, various error factors can affect the accuracy of the final printing quality. However, current 3d printing error compensation methods have limited effects and usually cannot work in real-time. The 3d printing error compensation process is modeled as a Markov decision process (MdP) in this paper, and deep Reinforcement Learning (dRL) is applied for dynamic error compensation. This method learns autonomously through trial and error by interacting with the printing environment, which makes it adaptable to various types of 3d printers without specific training. Then, we simulate the digital light processing (dLP) 3d printing. due to the huge state and action space of sliced images, applying the dRL algorithm to dLP is challenging. We propose an error compensation method based on morphological image operation and use Autoencoder to extract error features to reduce the state space. We then implement our method using a Twin delayed deep deterministic policy gradient algorithm (Td3). The results demonstrate the effects of our method in compensating 3d printing errors. © 2023 IEEE.

关键词： 3d printing

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Inclined 3d printing: Build-Up Prediction and Early-Age Performance Optimization

SSRN

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SSRN 2023年

作者： Wang, Li Ye, Kehan Wan, Qian Li, Zhijian Ma, Guowei School of Civil and Transportation Engineering Hebei University of Technology 5340 Xiping Road Beichen District Tianjin300401 China Engineering Research Center on 3D Construction printing of Hebei 5340 Xiping Road Beichen District Tianjin300401 China

To enhance the adaptability of 3d concrete printing (3dCP) to freeform and topologically optimized prefabricated structures, it is of great necessity to develop inclined 3d printing for overhang structures. In this study, the prediction criteria for stable buildability of additive inclined stacking was established to facilitate the inclined 3d printing. Meanwhile, the approach of compounding retarder and accelerator was simultaneously adopted to the hybrid cementitious material to optimize the extrudability and early-age stiffness, and therefore improve the coordination of ultra-early age performance to the additive printing process of overhang structures. The development of green strength of concrete materials are quantitatively analyzed. The optimum HB-CSA replacement rate is determined as 15%, and the setting time can be controlled within 35~96 min. Finally, the effectiveness of the developed evaluation method is verified by the numerical analysis and experimental investigation, the deviation of the proposed constructability evaluation criterion can be controlled within 9.0%. © 2023, The Authors. All rights reserved.

关键词： Forecasting

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The influence of SLA process parameters on the property of alumina 7

The influence of SLA process parameters on the property of a...

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2021 7th International Forum on Manufacturing technology and Engineering materials, IFEMMT 2021

作者： Chen, Haida Chen, Bin Li, Jie Yan, Hengfeng Cheng, Liying Chen, Jimin Zeng, Yong Institute of Laser Engineering Faculty of Materials and Manufacturing Beijing University of Technology Beijing China Beijing Engineering Research Center of 3D Printing for Digital Medical Health Beijing China Beijing Intl. Science and Technology Cooperation Base of 3D Printing for Digital Medical Health Beijing China Key Laboratory of Trans-scale Laser Manufacturing Technology Ministry of Education Beijing China KANGSHUO Electric Group Co. Ltd. Beijing China

Ceramic stereolithography (SLA) was used to fabricate a ceramic. A ceramic 3d printer based on the SLA method was manufactured. In order to systematically and effectively evaluate the role of the parameters in the ceramic green body, the orthogonal test method is introduced. The placement position of the parts, the laser repetition frequency, and scanning speed are used as independent variables to be studied. The final result shows that when laser power is set, the relationship between the hardness of the part and the position of the part is not evident. The speed of laser scanning greatly influences the mechanical properties of the parts. Alumina parts with smooth surface and dense microstructure were obtained after debinding and sintering processes. © Published under licence by IOP Publishing Ltd.

关键词： Sintering

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Printability during projection-based 3d bioprinting

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Bioactive materials 2022年第5期7卷 254-267页

作者： Kang Yu Xinjie Zhang Yuan Sun Qing Gao Jianzhong Fu Xiujun Cai Yong He State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Department of General Surgery Sir Run-Run Shaw HospitalZhejiang University School of MedicineHangzhou 310016China Key Laboratory of Materials Processing and Mold Zhengzhou UniversityZhengzhou450002China Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province College of Mechanical EngineeringZhejiang UniversityHangzhou 310027China Zhejiang Research and Development Engineering Laboratory of Minimally Invasive Technology and Equipment Hangzhou310016China Cancer Center Zhejiang UniversityHangzhouZhejiang 310058 China

Since projection-based 3d bioprinting(PBP)could provide high resolution,it is well suited for printing delicate structures for tissue ***,the low crosslinking density and low photo-crosslinking rate of photocurable bioink make it difficult to print fine ***,an in-depth understanding of the is ***,a research framework is established for the analysis of printability during *** gelatin methacryloyl(GelMA)-based bioink is used as an example,and the printability is systematically *** analyze the photo-crosslinking reactions during the PBP process and summarize the specific requirements of bioinks for *** standard quantized models are established to evaluate 2d and 3d printing ***,the better strategies for bioprinting five typical structures,including solid organs,vascular structures,nerve conduits,thin-wall scaffolds,and micro needles,are presented.

关键词： Projection-based printing(PBP) 3d bioprinting GelMA bioink Rheological analysis

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3d printing of HAp/xSiO2 ceramic scaffolds for potential bone graft reconstruction 2

3D printing of HAp/xSiO2 ceramic scaffolds for potential bon...

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2021 2nd International Conference on Internet of Things, Artificial Intelligence and Mechanical Automation, IoTAIMA 2021

作者： Zhang, Chengyu Chen, Jimin Institute of Laser Engineering Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Ministry of Education Beijing100124 China Beijing Engineering Research Center of Laser Technology Beijing University of Technology Beijing100124 China Beijing Engineering Research Center of 3D Printing for Digital Medical Health Beijing University of Technology Beijing100124 China

HAp has drawn great attention in recent years for its similarity to the inorganic component of bone and can be used as a biocompatible implant. However, the application is limited for its poor shape ability and low degradation ability. With the help of digital Light Processing 3d printing technology, this study proposed a method for the fabrication of bone remodeling scaffolds with high complexity. In addition, this study found that the silica addition will help densify the HAp ceramic and make it transform to a more biodegradable TCP phase at low sintering temperature. © Published under licence by IOP Publishing Ltd.

关键词： 3d printers

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double deep Q-learning for anti-saturation attack problem of warship group 1

Double deep Q-learning for anti-saturation attack problem of...

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1st IEEE International Conference on digital Twins and Parallel Intelligence, dTPI 2021

作者： Li, Wei Xiong, Gang Tao, Hao Han, Yunjun Wang, Fang dong, Xisong Shen, Zhen Institute of Automation Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences China China Ship Development and Design Center Wuhan430064 China Shandong University Jinan China

ISBN: (纸本)9781665433372

Anti-saturation attack (ASA) strategy is vital for the survival of a warship group, and attracts the focus of many researchers. In this paper, the dynamics of ASA is formulated as a Markov decision Process (MdP) with an enhanced states space since those characters are involved, such as the formation and detection and interception areas of warship group. A reinforcement learning method (double deep Q-leaning, ddQN) is developed to solve the problem and deal with the curse of dimensionality whereby the cost-to-go value is calculated by a marine engagement simulation system. A heuristic defense algorithm guided by field expert knowledge is designed for comparison. The experimental results show that the ddQN method performs better in anti-saturation attack scenarios. © 2021 IEEE.

关键词： Reinforcement learning

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Steel Coil Recognition Neural Networks for Intelligent Cranes

Steel Coil Recognition Neural Networks for Intelligent Crane...

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Control Conference (ANZCC), Australian and New Zealand

作者： Shiqi Wang Enguang Hou Hongyao Ma Jiarui Tang Zhen Shen Gang Xiong Shool of Railway Transportation Shandong Jiaotong University Jinan China Intelligent Manufacturing Center Qingdao Academy of Intelligent Industries Qingdao China State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China

Steel coil recognition in factories is important for an intelligent crane. In recent years, the deep neural network has become a popular tool in industry. The YOLO family of object detection methods has been widely applied. However, the original YOLOv8 has certain limitations in dealing with light change, occlusive targets, and small long-distance targets. To achieve a better recognition effect and improve the working efficiency, in this paper we make some improvements. Firstly, Space-to-depth (SPd) and Large Selective Kernel Networks (LSK) are added to the network Backbone. Secondly, the BiFormer attention mechanism is added to the neck part of the network, and the self-attention mechanism is used to obtain the global relationship between input to improve the network performance, so that the network can receive information at any time and autonomously adjust its receptive field in the spatial dimension. The improved YOLOv8 has better recognition accuracy for low-resolution occluded objects and small target objects. By experiments, the improved YOLOv8 network has 84.3% mAP on the self-built datasets, which is better than the 82.1% mAP of the original YOLOv8 network.

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A Geometry Aware diffusion Model for 3d Point Cloud Generation

A Geometry Aware Diffusion Model for 3D Point Cloud Generati...

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IEEE International Conference on Automation Science and Engineering (CASE)

作者： Ao Zhang Zhen Shen Qihang Fang Jian Yang Gang Xiong Xisong dong State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of Automation Chinese Academy of Sciences Beijing China School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Dongguan China

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Point clouds have increasingly become the preferred representation for various visual and graphical applications. denoising diffusion probability models (ddPMs) have demonstrated remarkable applications in areas such as 3d point cloud generation. Furthermore, the ability to generate or reconstruct high-resolution, high-fidelity point clouds stands as a pivotal requirement within this domain. To this end, we propose a geometry aware diffusion model for 3d shape generation. Considering that the global latent shape space overlooks the inherent topology and fine-grained information within the 3d shape itself, we introduce a geometry latent space that operates in a cascaded relationship with the global shape latent space. This latent space combines the global shape latent with the geometry latent space. To generate high-quality point clouds, we conduct training on the geometry latent space, which yields superior results compared to training solely on the global shape latent space. Specifically, we represent the point cloud as a set of unordered point representations with positional embedding. We further employ a geometry aware attention block to model global geometric relationships and retaining local detail features, capturing the inductive bias of the 3d geometric structure of the point cloud. We conduct experiments across various ShapeNet benchmarks, and our approach has demonstrated substantial advancements in the generation of point clouds when compared to the baseline.

关键词： Point cloud compression Geometry Training Solid modeling Visualization Three-dimensional displays Shape Noise reduction diffusion models Topology

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