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Additive Manufacturing-Enabled Advanced design and Process Strategies for Multi-Functional Lattice Structures

Materials 2024年第14期17卷 3398页

作者： Bhat, Chinmai Prajapati, Mayur Jiyalal Kumar, Ajeet Jeng, Jeng-Ywan High-Value Biomaterials Research and Commercialization Center National Taipei University of Technology No. 1 Section 3 Zhongxiao East Road Taipei106 Taiwan Taiwan High Speed 3D Printing Research Center National Taiwan University of Science and Technology No. 43 Sec. 4 Keelung Rd Taipei106 Taiwan Department of Mechanical Engineering National Taiwan University of Science and Technology No. 43 Sec. 4 Keelung Rd Taipei106 Taiwan Lab Department of Design Indian Institute of Technology Guwahati Assam Guwahati781039 India Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University No. 1 Dasyue Rd East District Tainan701 Taiwan Department of Design Indian Institute of Technology Guwahati Assam Guwahati781039 India Prague252 41 Czech Republic

The properties of each lattice structure are a function of four basic lattice factors, namely the morphology of the unit cell, its tessellation, relative density, and the material properties. The recent advancements in additive manufacturing (AM) have facilitated the easy manipulation of these factors to obtain desired functionalities. This review attempts to expound on several such strategies to manipulate these lattice factors. Several design-based grading strategies, such as functional grading, with respect to size and density manipulation, multi-morphology, and spatial arrangement strategies, have been discussed and their link to the natural occurrences are highlighted. Furthermore, special emphasis is given to the recently designed tessellation strategies to deliver multi-functional lattice responses. Each tessellation on its own acts as a novel material, thereby tuning the required properties. The subsequent section explores various material processing techniques with respect to multi-material AM to achieve multi-functional properties. The sequential combination of multiple materials generates novel properties that a single material cannot achieve. The last section explores the scope for combining the design and process strategies to obtain unique lattice structures capable of catering to advanced requirements. In addition, the future role of artificial intelligence and machine learning in developing function-specific lattice properties is highlighted. © 2024 by the authors.

关键词： 3d printing

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Simulation analysis of Cr35Ni45Nb cracking furnace tube welding process based on double ellipsoidal heat source

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International Journal of Wireless and Mobile Computing 2021年第3期21卷 230-242页

作者： Sun, Ying Gao, Zongying Jiang, Guozhang Li, Gongfa Tao, Bo Xiong, Hegen Cao, Yongcheng Key Laboratory of Metallurgical Equipment and Control Technology of Ministry of Education Wuhan University of Science and Technology Hubei Wuhan China Institute of Precision Manufacturing Wuhan University of Science and Technology Hubei Wuhan China Biomanipulator and Intelligent Measurement and Control Research Centre Wuhan University of Science and Technology Hubei Wuhan China Institute of 3D Printing and Intelligent Manufacturing Engineering Wuhan University of Science and Technology Hubei Wuhan China Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan University of Science and Technology Hubei Wuhan China Hubei Jingmen Wusan Machinery Equipment Manufacturing Co. Ltd. Hubei Jingshan China

The welded joints of Cr35Ni45Nb cracking furnace tubes often crack and fail under the effect of residual welding stress, causing large economic losses. In this paper, a finite element model of a Cr35Ni45Nb cracking furnace tube with an outer diameter of 88 mm and a wall thickness of 7 mm is established, and a double ellipsoidal heat source is used to apply the load. Use Python language to write the life and death unit to carry out the secondary development of ABAQUS to simulate the generation process of solder in the welding process. The laser power is selected as the independent variable, and the sequential coupling method is used to analyse the influence of temperature and residual stress on it during the welding process. The research results show that the higher the laser power, the temperature reached on the weld area will also be higher. The largest axial residual stress appears in the area away from the weld, and the largest circumferential residual stress appears on the outer surface of the weld. Copyright © 2021 Inderscience Enterprises Ltd.

关键词： Chromium alloys

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The in-vivo medial and lateral collateral elongation correlated with knee functional score and joint space following unicompartmental knee arthroplasty

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Orthopaedics and Traumatology: Surgery and research 2025年第4期111卷 104052页

作者： Xia, Chunjie Zheng, Nan Gu, Tianyun dai, Huiyong Zou, diyang Wang, Qi Tsai, Tsung-Yuan School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China School of Biomedical Engineering & Med-X Research Institute Shanghai Jiao Tong University China Engineering Research Center for Digital Medicine of the Ministry of Education Shanghai China Shanghai Key Laboratory of Orthopaedic Implants & Clinical Translation R&D Center of 3D Printing Technology Department of Orthopaedic Surgery Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai China Department of Orthopedics Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine Shanghai China

Background: The medial collateral ligament (MCL) and lateral collateral ligament (LCL) are paramount for joint stability. Their elongation patterns may change during fixed-bearing and mobile-bearing unicompartmental knee arthroplasty (FB and MB UKA). This study aims to explore the relationship between the elongation of MCL, LCL, and changes in joint space, as well as their correlation with functional scale scores during FB and MB UKA. Hypothesis: We hypothesize that MCL and LCL have different elongation patterns in UKA patients, and there is a correlation between elongation and joint space and functional scores. Materials and methods: The study recruited 24 patients undergoing UKA on a unilateral knee (13 FB and 11 MB). A dual fluoroscopic imaging system was employed to assess in-vivo knee kinematics during static standing and single-leg lunge. The superficial and deep MCL (sMCL, dMCL) and LCL were divided into anterior, medium, and posterior portions. The virtual ligament method quantified in-vivo ligament lengths. Analysis focused on the correlation of normalized ligament lengths with functional scores and joint space. Results: 1. LCL Elongation in FB UKA: There is a significant increase in LCL elongation during early and mid-flexion of the single-leg lunge (p < 0.05). 2. MCL Elongation in MB UKA: Both sMCL and dMCL exhibit significant elongation during early and mid-flexion of the single-leg lunge (p < 0.05). 3. Correlation with Functional Scores: differences in collateral ligament elongation in FB UKA are significantly correlated with the OKS and KSS, highlighting the impact on functional outcomes. In MB UKA, differences in ligament elongation are significantly correlated with the FJS. 4. Joint Space Correlation: There is a significant correlation between the elongation of the anterior and medium portions of dMCL and joint space in the surgical compartment during mid- and deep flexion (30−100°, p < 0.05, r > 0.64). Conclusion: The study reveals distinct ligament

关键词： In-vivo Lateral collateral ligament Ligament length Medial collateral ligament Unicompartmental knee arthroplasty

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Magnetic Field-Assisted Manufacturing of Groove-Structured Flexible Actuators with Enhanced Performance

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SSRN 2023年

作者： Sun, Haonan Zhang, Chengqian Pan, Chengfeng Hu, Zhezai Huang, Yujie Tang, daofan Xie, Jun dai, Huangzhe Hu, Hao Li, Tiefeng Zhao, Peng The State Key Laboratory of Fluid Power and Mechatronic Systems College of Mechanical Engineering Zhejiang University Hangzhou310027 China The Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province College of Mechanical Engineering Zhejiang University Hangzhou310027 China Center for X-Mechanics Department of Engineering Mechanics Zhejiang University Hangzhou310027 China College of Mechanical Engineering Zhejiang University of Technology Hangzhou310014 China

Magnetic flexible actuators have attracted widespread attention due to their small size, adaptability, and wireless control capability. The manufacturing method of these actuators plays a crucial role in their functionality. Vat photopolymerization (VPP) offers the ability to manufacture precise structures and the capability of selective area curing. Based on these characterizations, we propose a magnetic field-assisted manufacturing method based on VPP to produce magnetic flexible actuators with 3d architecture in both geometry structure and magnetization arrangements, with accuracy of 200 μm. In addition, we construct groove structure to enhance the actuators' deformation, which is confirmed by both theoretical and experimental analyses, and successfully reduce the content requirement of magnetic particles. Flexible actuators with a low magnetic particle content (10 wt%) can be fabricated and fulfill intended functionality. We demonstrate the effectiveness of our method by manufacturing multi-arm grippers, showcasing their transportation capabilities. Moreover, we construct a 2-dOF joint for a crawling robot, significantly improving its motion performance and increasing the average step length to 6.8 times. Finally, we design and manufacture a magnetic diaphragm with complex structure and 3d magnetization arrangements, which is applied to a micro pump, demonstrating its pumping process with a rate of about 3.6 mL/min. These results highlight the potential of the magnetic field-assisted manufacturing method in designing complex structures and magnetization arrangements of flexible actuators, expanding their functional boundaries. © 2023, The Authors. All rights reserved.

关键词： Magnetization

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Generating 3d-cultured organoids for pre-clinical modeling and treatment of degenerative joint disease

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Signal Transduction and Targeted Therapy 2021年第12期6卷 3386-3389页

作者： Ye Sun Qiang Wu Kerong dai Yongqing You Wenbo Jiang Department of Orthopaedics The First Affiliated Hospital of Nanjing Medical UniversityNanjingJiangsuChina Clinical and Translational Research Center for 3D Printing Technology Shanghai Key Laboratory of Orthopaedic ImplantsDepartment of Orthopaedic SurgeryShanghai Ninth People’s HospitalShanghai Jiao Tong University School of MedicineShanghaiChina Department of Nephrology Affiliated Hospital of Nanjing Medical UniversityNorth District of Suzhou Municipal HospitalSuzhouChina

dear Editor,Human cell-based and personalized in vitro cartilage models are urgently needed for osteoarthritis treatment in pre-clinical regenerative medicine *** self-assemblies and condensations of the appropriate stem cells could initiate the formation of transient tissue structures programmed for specific organogenesis processes.1 This recapitulation of developmental events has previously been demonstrated for the formation of cardiac,epithelial and liver ***,there has been very limited progress in the development of human cartilage organoids for osteoarthritis(OA).2 Here,we describe the fabrication of functional bioengineered cartilage organoid suitable for OA ***,agarose microwell inserts for formation of a high number of synovial mesenchymal stromal cell(SMSC)organoids with homogeneous size distribution were created as previously described by Leijten et al.33d-cultured SMSC organoids were generated and phenotypically analyzed for potential applications in OA modeling and treatment(Fig.1a).

关键词： clinical treatment organo

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Reinforcement Learning for the Optimization of decoupling Capacitors in Power delivery Networks

Reinforcement Learning for the Optimization of Decoupling Ca...

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EMC/SI/PI and EMC Europe Symposium, IEEE International Joint

作者： Seunghyup Han Osama Waqar Bhatti Madhavan Swaminathan 3D Systems Packaging Research Center (PRC) School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA

This paper proposes an advantage actor–critic (A2C) reinforcement learning (RL)–based method for the optimization of decoupling capacitor (decap) design. Unlike the previous RL-based methods used for the selection of decap types or decap placements, the proposed method enables placement and the simultaneous selection of both decap types and their placements, thereby simplifying the design process. The results show that the proposed method can provide a larger number of optimized decap design solutions compared with previous methods, and can yield decap solutions even for multi-port optimization.

关键词： Integrated circuits Training Capacitors Europe Reinforcement learning Electromagnetic compatibility Impedance

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Urban trip generation forecasting based on gradient boosting algorithm 1

Urban trip generation forecasting based on gradient boosting...

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

作者： Li, Zhishuai Xiong, Gang Zhang, Yu Zheng, Meng dong, Xisong Lv, Yisheng Institute of Automation Chinese Academy of Sciences State Key Laboratory for Management and Control of Complex Systems 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 Beijing Municipal Institute of City Planning and Design Traffic Planning Department Beijing China

ISBN: (纸本)9781665433372

The four-step transportation model plays an important role in urban planning. The quality of the first phase, i.e. trip generation, determines the performance of the global course. The majority of trip generation forecasting models highly rely on mathematical derivation and have many predictor variables during the prediction, which leads to low accuracy of results and requires laboriously hand-crafted design of input vectors. This paper is the first to introduce the gradient boosting decision tree (GBdT) algorithm for trip generation prediction, and harmonizes such a powerful machine learning method with traditional urban planning requirements to achieve better prediction performance. Unlike the commonly used linear regression method, GBdT can automatically perform feature selection and model the non-linear relationships between input and output variables. Experimental results on real-world residential travel census in Beijing prove that the GBdT model significantly outperforms the baseline and can forecast the trip generation more accurately. © 2021 IEEE.

关键词： decision trees

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Analysis of Subsidence Mechanisms and Influencing Factors Under Coupled Hydrogeological Conditions: A Case Study of the Yangtze River Section in Jiangsu

SSRN

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SSRN 2024年

作者： Long, Wenjiang Yu, Xuexiang Zhu, Mingfei Zhang, Guanghui School of Geomatics Anhui University of Science and Technology Huainan232001 China Urban 3D Real Scene and Intelligent Security Monitoring Joint Laboratory of Anhui Province Huainan232001 China Coal Industry Engineering Research Center of Mining Area Environmental And Disaster Cooperative Monitoring Anhui University of Science and Technology Huainan232001 China Huainan232001 China Shandong University of Science and Technology Taian266590 China

The subsidence mechanisms in areas such as the Jiangsu section of the Yangtze River (JSYR) are complex, primarily influenced by the intertwined effects of hydrogeological conditions. Specifically, the interaction between groundwater extraction from soft soil layers and the geological matrix plays a key role in the subsidence phenomena observed in these areas. This study aims to analyze the causes and potential mechanisms of ground subsidence in the Yangtze River Basin of Jiangsu Province from a coupled hydrogeological perspective. Utilizing the Small Baseline Subset Interferometric technique (SBAS), this research analyzed 126 Sentinel-1A images collected from January 2019 to May 2023 to investigate the ground subsidence in the JSYR area. Additionally, the study employed the Random Forest Regression (RFR) method to analyze the impact of various factors (such as groundwater extraction, soft soil thickness, land use, and soil type) on subsidence. The Temporal Convolutional Network (TCN) model was then used for data validation and prediction, aiming to establish a comprehensive analytical system to reveal the relative contributions of these factors to subsidence in the study area. The results indicate that most of the JSYR area is in a stable subsidence state, with an average subsidence rate of 0.6 mm/year. The main factors contributing to subsidence include the thickness of the soft soil layer (20%), groundwater extraction (18%), and soil type (17%). Additionally, changes in land use can lead to subsidence, primarily due to the rapid expansion of urban buildings. The validation results of the RFR importance evaluation using the TCN algorithm (RFR: R^2=0.759, RMSE=1.6mm/year;TCN: R^2=0.761, RMSE=2.9mm/year) indicate that both methods contribute to the subsidence impact analysis system. This system can provide suitable reference metrics for JSYR. developing strategies to mitigate and manage subsidence through coupled hydrogeological conditions is crucial for ensuring the

关键词： Subsidence

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Effect of Heat Treatment on the Microstructure and Properties of Cucrzr Prepared by Laser Powder Bed Fusion

SSRN

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SSRN 2022年

作者： Chen, Xingfu Zeng, Yong dong, Peng Chen, Jimin Yao, Haihua Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Beijing Engineering Research Center of 3D Printing for Digital Medical Health Beijing100124 China Key Laboratory of Trans-scale Laser Manufacturing Technology Ministry of Education Beijing100124 China Capital Aerospace Machinery Corporation Beijing100076 China

In this paper, CuCrZr alloys were prepared by laser powder bed fusion technique. Under optimum forming process conditions, a relative density of 99.7% was obtained and the specimens were analyzed for microstructure and properties. To enhance the mechanical properties of the copper alloy, the specimens are post-treated using both solution aging and direct aging heat treatments. research and analysis of the change regulation and influence mechanism of microstructure and mechanical properties, electrical and thermal conductivity. With direct ageing heat treatment a large number of Cr nanoprecipitates can be obtained, significantly improving the properties of the alloy. The best synthesis properties obtained at an ageing temperature of 450 °C were: microhardness 168.7 ± 3.1 HV, ultimate tensile strength 481.7 MPa, electrical conductivity 73.9 ± 0.9%IACS, thermal conductivity 314.3 ± 5.3 W/(m·K). © 2022, The Authors. All rights reserved.

关键词： Heat treatment

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difference analysis of the glenoid centerline between 3d preoperative planning and 3d printed prosthesis manipulation in total shoulder arthroplasty

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Archives of orthopaedic and trauma surgery 2023年第7期143卷 4065-4075页

作者： Chi-Pin Hsu Chen-Te Wu Chao-Yu Chen Shang-Chih Lin Kuo-Yao Hsu High Speed 3D Printing Research Center National Taiwan University of Science and Technology Taipei Taiwan. Department of Medical Imaging and Intervention Radiology Chang Gung Memorial Hospital Taoyuan Taiwan. Department of Orthopaedic Surgery Division of Sports Medicine and Musculoskeletal Research Center Chang Gung Memorial Hospital Chang Gung University College of Medicine Taoyuan Taiwan. alvinchen@cgmh.org.tw. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. Department of Orthopaedic Surgery Division of Sports Medicine and Musculoskeletal Research Center Chang Gung Memorial Hospital Chang Gung University College of Medicine Taoyuan Taiwan. emsequoia@cgmh.org.tw.

INTROdUCTION:Excessive version and inclination of the glenoid component during total shoulder arthroplasty can lead to glenohumeral instability, early loosening, and even failure. The orientation and position of the central pin determine the version and inclination of the glenoid component. The purpose of this study was to compare the differences in centerline position and orientation obtained using "3d preoperative planning based on the best-fit method for glenoid elements" and the surgeon's manipulation. MATERIALS ANd METHOdS:Twenty-nine CT images of glenohumeral osteoarthritis of the shoulder were reconstructed into a 3d model, and a 3d printer was used to create an in vitro model for the surgeon to drill the center pin. The 3d shoulder model was also used for 3d preoperative planning (3dPP) using the best-fit method for glenoid elements. The in vitro model was scanned and the version, inclination and center position were measured to compare with the 3dPP results. RESULTS:The respective mean inclinations (versions) of the surgeon and 3dPP were -2.63° ± 6.60 (2.87° ± 5.97) and -1.96° ± 4.24 (-3.21° ± 4.00), respectively. There was no significant difference in the inclination and version of the surgeon and 3dPP. For surgeons, the probability of the inclination and version being greater than 10° was 13.8% (4/29) and 10.3% (3/29), respectively. Compared to the 3dPP results, the surgeon's center position was shifted down an average of 1.63 mm. There was a significant difference in the center position of the surgeon and 3dPP (p < 0.05). CONCLUSION:The central pin drilled by surgeons using general instruments was significantly lower than those defined using 3d preoperative planning and standard central definitions. 3d preoperative planning prevents the version and inclination of the centerline from exceeding safe values (± 10°).

关键词： 3d preoperative planning centerline Glenohumeral osteoarthritis Glenoid inclination Glenoid version

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