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An Ontology-based Knowledge Modeling towards Eco-design for Additive manufacturing

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Procedia CIRP 2024年 122卷 760-765页

作者： Yanan Wang Tao Peng Samyeon Kim Yi Xiong Yunlong Tang Renzhong Tang State Laboratory of Fluid Power Components and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310058 China Department of Mechanical Engineering Jeonju University Jeonju-si Jeollabuk-do 55069 South Korea School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen 518055 China Mechanical and Aerospace Engineering Department Monash University Melbourne 3800 Australia Materials Science and Engineering Department Monash University Melbourne 3800 Australia Zhejiang Province Key Laboratory of Advanced Manufacturing Technology School of Mechanical Engineering Zhejiang University Hangzhou 310058 China

Owing to the unique technological merits of additive manufacturing (AM), design for AM, particularly eco-design for AM, has been gaining attention in improving the sustainable performance of AM-fabricated (AMed) parts. The main challenge in harvesting potential sustainability benefits is how to capture the impact of design on sustainable performance. Though several existing studies adopted quantitative evaluation on AM sustainability and investigated the relationships between design information and sustainability information of AMed part, the sustainability information is still unavailable in the design phase. This hardly guides eco-design for AM in practice. To support the increasing industrial applications of AM, this paper illustrates related knowledge, that is, material-process-structure-ecoProperty (MPSeP) relationships to connect design and sustainability information in eco-design for AM. An ontology-based method is proposed to model the MPSeP relationships of the AMed part in a structured way. An example of an AMed hydraulic valve body was used to demonstrate the MPSeP modeling process. It is discussed that how the constructed model effectively assists AM designers through providing eco-design recommendation, and enables design software tools to perform sustainability analysis towards eco-design for AM.

关键词： additive manufacturing eco-design for additive manufacturing ontology model sustainability

Insight into the Re-Deposition Equilibrium of Sn Contaminant on Euv Multi-Layer Mirror Surface During Hydrogen Plasma Cleaning

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SSRN 2024年

作者： Wang, Sishu Ye, Zongbiao Wu, Andong Lu, Qipeng Song, Yuan Yu, Xingang Wei, Jianjun Gao, Tao Gou, Fujun Key Laboratory of Radiation Physics and Technology Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China State Key Laboratory of Applied Optics Changchun China Key Laboratory of Optical System Advanced Manufacturing Technology Chinese Academy of Sciences Changchun China School of Engineering Science University of Chinese Academy of Science Beijing100049 China Institute of Atomic and Molecular Physics Sichuan University Chengdu610064 China

The multi-layer mirror (MLM) self-driven plasma cleaning method is expected to be a potentially applicable technology to remove Sn contaminants during EUV lithography. The DFT calculation results indicate that the adsorption energy of adjacent Sn atom on Ru reaches -1.07 eV and would gradually desorb from Ru in forming SnHn after bonding with hydrogen atoms. The plasma-cleaning experiment results demonstrate that the removal rate for superficial Sn was relatively fast (reaching 6 nm/h) and would drop slowly as the contamination thickness decreased. Interestingly, the Sn contamination could not be cleared completely, although extending the treatment time to 24 h, and reached a fixed value (with an impurity proportion of ~0.35%) and remained stable. To clarify the matrix effects of Ru, a non-catalytic Si substrate (with adsorption energy of ~-0.1 eV) was introduced to illustrate the dynamic equilibrium between hydrogen plasma cleaning and the re-deposition of SnH4. The residual amount of Sn on Si (with an impurity proportion of ~0.15%) is less than that of Ru, suggesting its strong interfacial adsorption and catalytic action for SnH4 decomposition. This study reveals the interaction mechanism between hydrogen plasma and Sn contaminant on MLM, providing technical and theoretical references for MLM cleaning. © 2024, The Authors. All rights reserved.

关键词： Adsorption

Investigation of the Ion Thermal Effect on Tin Contamination in Low-Temperature Hydrogen Plasma Cleaning

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SSRN 2024年

作者： Wang, Sishu Wu, Andong Lu, Qipeng Song, Yuan Yu, Xingang Wei, Jianjun Gou, Fujun Ye, Zongbiao Pu, Guo Key Laboratory of Radiation Physics and Technology of Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy of Sciences Changchun130033 China State Key Laboratory of Applied Optics Changchun China Key Laboratory of Optical System Advanced Manufacturing Technology Chinese Academy of Sciences Changchun China School of Engineering Science University of Chinese Academy of Science Beijing100049 China Institute of Atomic and Molecular Physics Sichuan University Chengdu610064 China

The tin contamination is one of the crucial issues faced by Sn-based Extreme Ultraviolet (EUV) light sources and the ITER fusion program. Based on the synergistic effect of hydrogen atoms and ions on tin atoms (generating SnH4), the tin contaminations would be expected to achieve efficient and non-destructive cleaning on the multilayer mirror (MLM) or first mirror (FM) surface by its self-discharge hydrogen plasma cleaning. A comprehensive evaluation of the surface ion energy distribution of MLM was conducted at 1 W, considering the influence of plasma sheath on ion energy. The ion energy distribution at the electrode surface is 23-40 eV and mainly concentrates at 32 eV. The calculation results indicate that the thermal effect of ions on tin (about 307.2 kJ/mol) is higher than the melting enthalpy of tin (7.08 kJ/mol), which could be caused by the local melting of tin particles, as evidenced by the apparent changes in morphology observed after plasma cleaning at 1 W. The comparative experiments of hydrogen atom cleaning, annealing, and re-deposition confirm that the ion-induced thermal effect is the leading cause of tin particle deformation. © 2024, The Authors. All rights reserved.

关键词： Ions

Characterization of Microstructure, Grain Distribution, and Surface Properties of Niti-Based Superelastic Alloy

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SSRN 2022年

作者： Yan, Chao Zeng, Qunfeng Khanlari, Khashayar Zhu, Xijing Wang, Zhao Shanxi Key Laboratory of Advanced Manufacturing Technology North University of China Shanxi Taiyuan030051 China Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong University Xi’an710049 China The State Key Laboratory of Powder Metallurgy Central South University Changsha410083 China

Hardened 58Ni39Ti3Hf possesses a superior resistance to quenching cracking and spall-type surface fatigue as compared to 60NiTi, which makes it considered as an alternative for this binary intermetallic. Nonetheless, it is still a lack of deep understanding of how the microstructure, grain distribution, and surface properties of 58Ni39Ti3Hf differ from those of 60NiTi. In this work, combined analysis methods of X-ray diffraction (XRD), electron backscatter diffraction (EBSD), and transmission electron microscope (TEM) were conducted to systematically characterize the phase composition, microstructure, and grain distribution. Nanoindentation test was carried out to study the mechanical properties of surface. The growth of passive film in seawater was analyzed using X-ray photoelectron spectroscopy (XPS). Finally, electrochemical impedance spectroscopy (EIS) measurement before, during, and after the tribocorrosion test was performed to evaluate the corrosion resistance of these two alloys when served in different conditions. 58Ni39Ti3Hf was found to have better corrosion and mechanical properties than that of 60NiTi within the range of this experiment, and the involved mechanism was discussed in detail. © 2022, The Authors. All rights reserved.

关键词： Microstructure

Learnable Operational design Condition Monitor for Failure Prediction in Autonomous Driving

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SSRN 2025年

作者： Xu, Haowei Bian, Yougang Li, Yang Qin, Hongmao Zhou, Hanchu Chang, Fangrong Wang, Shaofei Ye, Qing State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China Research and Development Center of Transport Industry of Self-driving Technology China Merchants Chongqing Communications Technology Research and Design Institute Co. Ltd. Chongqing China School of Traffic and Transportation Engineering Central South University Changsha China Department of Data and System Engineering The University of Hong Kong Hong Kong School of Resources and Safety Engineering Central South University Changsha China School of Data Science China

Ensuring the safety of Autonomous Driving systems (ADS) across diverse and unpredictable operational scenarios remains a significant challenge for accident prevention. Central to this effort is the continuous monitoring of Operational design Conditions (ODC), which encompass both in-vehicle factors and external Operational design Domain (ODD). However, the absence of robust methodologies to precisely identify ODC boundaries hinders the deployment and adoption of high-level ADS. This paper introduces a learnable ODC monitor designed to identify implicit operational design condition boundaries to prevent ADS failures. By integrating a state-space duality encoder and a Bayesian neural network decoder, we propose an efficient learnable ODC monitor, termed ODCNet. Furthermore, to further enhance prediction reliability, residual error analysis with linear discrimination is applied for calibrating prediction. Experimental results demonstrate ODCNet's superiority in failure prediction compared to baseline models, achieving a balance between safety and coverage. These findings contribute to advancing data-driven accident prediction and prevention strategies, ensuring safer deployments of ADS in complex environments. © 2025, The Authors. All rights reserved.

关键词： Autonomous vehicles

Two points are enough

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arXiv

arXiv 2024年

作者： Liu, Hao Zhao, Yanbin Zheng, Huarong Fan, Xiulin Deng, Zhihua Chen, Mengchi Wang, Xingkai Liu, Zhiyang Lu, Jianguo Chen, Jian State Key Laboratory of Fluid Power Components and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou China Ocean College Zhejiang University Hangzhou China State Key Laboratory of Silicon and Advanced Semiconductor Materials School of Materials Science and Engineering Zhejiang University Hangzhou China Nanyang Technological University Singapore School of Control Science and Engineering Zhejiang University Hangzhou China School of Materials Science and Engineering Tianjin University Tianjin China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen China

Prognosis and diagnosis play an important role in accelerating the development of lithium-ion batteries, as well as reliable and long-life operation. In this work, we answer an important question: What is the minimum amount of data required to extract features for accurate battery prognosis and diagnosis? Based on the first principle, we successfully extracted the best two-point feature (BTPF) for accurate battery prognosis and diagnosis using the fewest data points (only two) and the simplest feature selection method (Pearson correlation coefficient). The BTPF extraction method is tested on 820 cells from 6 open-source datasets (covering five different chemistry types, seven manufacturers, and three data types). It achieves comparable accuracy to state-of-the-art features in both prognosis and diagnosis tasks. This work challenges the cognition of existing studies on the difficulty of battery prognosis and diagnosis tasks, subverts the fixed pattern of establishing prognosis and diagnosis methods for complex dynamic systems through deliberate feature engineering, highlights the promise of data-driven methods for field battery prognosis and diagnosis applications, and provides a new benchmark for future studies. Copyright © 2024, The Authors. All rights reserved.

关键词： Lithium-ion batteries

Study on Mechanical Properties of Dual-Channel Cryogenic 3d Printing Scaffold for Mandibular Defect Repair

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SSRN 2023年

作者： Gao, Lilan Sun, Mengchao Liu, Jie Meng, Lulu Liu, Han Zheng, Xiongfei Liu, Hao Li, Ruixin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300382 China Tianjin300382 China Beijing Friendship Hospital Capital Medical University 100050 China State Key Laboratory of Robotics Institutes for Robotics and Intelligent Manufacturing Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110017 China Tianjin Key Laboratory of Oral and Maxillofacial Function Reconstruction Tianjin Stomatological Hospital The Affiliated Stomatological Hospital of Nankai University Tianjin300041 China

Mandibular defect repair has always been a clinical challenge, facing technical bottleneck. The new materials directly affect technological breakthroughs in mandibular defect repair field. Our aim is to fabricate a scaffold for mandibular defect repairing with advanced biomaterials. Therefore, a novel dual-channel printed scaffold consisting of silk fibroin/collagen type I /hydroxyapatite (SCH) and polycaprolactone/hydroxyapatite (PCL/HA) was fabricated by 3D printing technology with double nozzles. The mechanical properties and behaviors of dual-channel printed scaffold were investigated by performing uniaxial compression, creep, stress relaxation and ratcheting experiments respectively. The experiments indicated the Young modulus of dual-channel printed scaffold was 60.1 kPa and dual-channel printed scaffold was typical nolinear viscoelastic consistent with bone tissue. Finite Element Analysis (FEA) was employed performing a numerical simulation to evaluate the implantation effect in mandible. The stress distribution of the contact area between scaffold and defect was uniform, the maximum Mises stress of cortical bone and cancellous bone in defect area were 54.52MPa and 3.196MPa, and the maximum displacement of cortical bone and cancellous bone in defect area were 0.1575mm and 0.1555mm, which were distributed in the incisor region. The peak value of the maximum Mises stress for the scaffold implanted was 3.128× MPa and the maximum displacement was 6.453×mm distributed near incisor area. The displacement distribution of the scaffold was consistent with that of cortical and cancellous bone. The scaffold recovered well when the force applied on it disappeared. Above all, dual-channel printed scaffold had excellent bio-mechanical properties in implanting mandible, which provides a new idea for the reconstruction of irregular bone defects in the mandible and has good clinical development prospects. © 2023, The Authors. All rights reserved.

关键词： 3D printing

Biomechanical Finite Element Methods Study of a Novel Internal Fixation system for Lumbar Spondylolysis

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SSRN 2025年

作者： Li, Jingyuan Du, Chengfei Wang, Yulei Du, Di Liang, Jinlong Shao, Nengqi Feng, Fanzhe Xu, Wenhao Xu, Yongqing Cui, Yi Center for Joint Surgery Intelligent Manufacturing and Rehabilitation Engineering Center The First Affiliated Hospital of Army Medical University Chongqing400038 China Chongqing Municipal Science and Technology Bureau Key Laboratory of Precision Medicine in Joint Surgery Chongqing400038 China Chongqing Municipal Education Commission Key Laboratory of Joint Biology Chongqing400038 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of mechanical engineering Tianjin University of Technology Tianjin300384 China Department of Orthopaedic Surgery 920th Hospital of Joint Logistics Support Force Kunming650032 China Department of Orthopaedic Surgery 920th Hospital of Joint Logistics Support Force No. 212 of Da-Guan Road Xishan District Kunming650032 China

ObjectiveThis study aimed to verify the biomechanical efficacy of a novel internal fixation system for repairing lumbar spondylolysis (LS). Additionally, the changes in the mechanical performance of the novel internal fixation device during compression were *** healthy 25-year-old male volunteer was recruited for lumbar spine CT data acquisition to construct and validate a nonlinear finite element model of the L4-S1 spinal segment (A). Based on this, models were established for L5 spondylolysis (B), traditional internal fixation (C), and the pressurization process of the novel LS repair device fixation (D→E→F). For these six models, we constrained the lower surface of the S1 vertebral body while applying an axial compression force of 500 N and a moment load of 7.5 N·m on the upper surface of the L4 vertebral body to simulate six motions of the lumbar spine. The performance of each finite element model was evaluated by comparing the range of motion (ROM), maximum displacement, and maximum pressure experienced by the lumbar spine under different motion *** with Model C, Models D, E, and F exhibited a reduced ROM and maximum displacement (1%-38.5%, 12.8%-63.6%, and 32.8%-80.2%) compared with Model C during six different motions. Notably, compared with Model C, the novel internal fixation models consistently demonstrated a decreasing trend in the maximum stress on the intervertebral discs (IVD) and an increasing trend in the maximum stress on the articular cartilage and maximum stress and displacement of the bone graft. Moreover, the novel internal fixation model displayed larger ranges of evenly distributed stresses on the isthmus and reduced maximum stress on the internal fixation device across all six motions, with improved stiffness effects during the pressurization process of the novel internal fixation system (D→E→F).ConclusionsAccording to several mechanical comparisons, the novel internal fixation system had better biomechan

关键词： Axial compression

The consistent behavior of negative Poisson's ratio with interlayer interactions

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arXiv

arXiv 2022年

作者： Wang, Yancong Yu, Linfeng Zhang, Fa Chen, Qiang Zhan, Yuqi Zheng, Xiong Wang, Huimin Qin, Zhenzhen Qin, Guangzhao State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan University Changsha410082 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China Hunan Key Laboratory for Micro-Nano Energy Materials & Device School of Physics and Optoelectronics Xiangtan University Hunan Xiangtan411105 China School of Physics and Microelectronics Zhengzhou University Zhengzhou450001 China

Negative Poisson's ratio (NPR) is of great interest due to the novel applications in lots of fields. Films are the most commonly used form in practical applications, which involves multiple layers. However, the effect of interlayer interactions on the NPR is still unclear. In this study, based on first principles calculations, we systematically investigate the effect of interlayer interactions on the NPR by comparably studying single-layer graphene, few-layer graphene, h-BN, and graphene-BN heterostructure. It is found that they almost have the same geometry-strain response. Consequently, the NPR in bilayer graphene, triple-layer graphene, and graphene-BN heterostructure are consistent with that in single-layer graphene and h-BN. The fundamental mechanism lies in that the response to strain of the orbital coupling are consistent under the effect of interlayer interactions. The deep understanding of the NPR with the effect of interlayer interactions as achieved in this study is beneficial for the future design and development of micro-/nanoscale electromechanical devices with novel functions based on nanostructures. © 2022, CC BY-NC-SA.

关键词： Graphene