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2023 ASEE Annual conference and Exposition - The Harbor of Engineering: Education for 130 Years, ASEE 2023

作者： Seth, Deeksha Clayton, Garrett Miles Jamison, David Villanova University United States The College of New Jersey United States

Additive manufacturing (3D printing) has become an integral part of engineering design and lab courses in K-12 and higher education. Low-cost and readily available 3D printers allow integration of design, prototype manufacturing, and testing which is otherwise difficult to incorporate using traditional, subtractive manufacturing methods in courses. To that end, the authors designed a four-week design-build-test (DBT) lab for junior mechanical engineering students. The lab meets the following learning goals;1) develop proficiency in using a desktop 3D printer, 2) explain the impact of selected 3D print settings on dimensional accuracy and tensile strength of a shape, 3) evaluate the use of simulations in the engineering design process, and 4) use data to improve the design. The entire class of junior mechanical engineering students, approximately 80 students annually, are split into teams of four to five students per team. Collectively, the class investigates the impact of infill density (20, 40, 60, 80, 100 %) and three print orientations on the dimensional accuracy and strength of a printed part under tensile load. Each team uses the data in conjunction with static, structural simulations to redesign the original part without increasing the mass, volume, size, or manufacturing time. The DBT lab sequence concludes with a written report and an oral presentation. The lab provides the students with a DBT sequence while investigating a specific additive manufacturing method. The investigation allows students to apply and learn the engineering design process, the use of simulations in engineering design, experimental tensile testing, quality assurance methods, and sophisticated statistical analyses. The feedback from the students indicates that the DBT lab sequence;a) provides an appropriate level of challenge, b) keeps students engaged, c) enhances learning, and d) equips students with multiple, different tools for a successful DBT cycle, without a significant requireme

关键词： 3D printing

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Weaving System-Level Properties with Architectural Decomposition for Mechatronic Co-design

Weaving System-Level Properties with Architectural Decomposi...

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ACM/IEEE International conference on Model Driven Engineering Languages and Systems (MODELS)

作者： Cornelis, Milan Vanommeslaeghe, Yon Van Acker, Bert De Meulenaere, Paul Univ Antwerp Cosys Lab FTI AnSyMo Cosys Flanders Make Antwerp Belgium

ISBN: (纸本)9798350324983

As mechatronic systems become more complex, their design requires different engineering teams, each specialized in their own domain, to cooperate. This is often accomplished through a co-design process, which aims to parallelize the engineering work and therefore improve the time-efficiency and cost of system development. However, the integration step following the concurrent design often fails due to incorrect or incomplete assumptions made regarding other domains. In this paper, we propose to use a combination of two different views on the system. One view is the traditional system design methods that aim at system decomposition. The other view aims at defining the system-level properties and their interrelations. By means of a drone case study, we demonstrate how to decompose the system into manageable components, while still capturing relationships between these components and their related properties. For the drone modeling and decomposition, we use ARCADIA, whereas for the management of the cross-domain system relations, we use a knowledge model and tool that we presented in previous work.

关键词： Mechatronics MBSE Co-design Knowledge Base

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Superconducting Titanium Nitride in through-Silicon Vias for 3D integration of Qubits

Superconducting Titanium Nitride in Through-Silicon Vias for...

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2024 International 3D Systems integration conference, 3DIC 2024

作者： Schewski, Alexandra Schaber, Ulrich Klumpp, Armin Fraunhofer EMPT Munich Germany

ISBN: (纸本)9798331516505

Quantum computers based on superconducting qubits are advancing rapidly but face significant challenges in scaling to larger numbers of qubits while maintaining coherence and efficient addressing. Utilizing 3D integration with through-silicon vias (TSVs) presents a promising solution by enabling vertical signal routing and reducing interconnect crowding. This paper identifies Titanium Nitride (TiN) deposition via Metal-Organic Chemical Vapor Deposition (MOCVD) as an effective method for achieving conformal and superconductive coating of TSVs. A test structure is introduced to provide a rapid feedback loop for the development of this metallization. Additionally, a strategy is proposed to evaluate and interpret cryogenic resistance measurements showing transitions to superconductivity. This strategy is employed to identify the influence of deposition parameters on TiN coating on TSV sidewalls and to develop a comprehensive model explaining the deposition mechanism inside TSVs. © 2024 IEEE.

关键词： Titanium nitride

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DEVELOPMENT OF ELEMENT FUNCTIONS AND design OPTIMIZATION PROCEDURES WITH KNOWLEDGE- AND AI-AIDED design integration APPROACH FOR ADVANCED REACTOR LIFECYCLE IN ARKADIA 30

DEVELOPMENT OF ELEMENT FUNCTIONS AND DESIGN OPTIMIZATION PRO...

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30th International conference on Nuclear Engineering, ICONE 2023

作者： Tanaka, Masaaki Enuma, Yasuhiro Okano, Yasushi Uchibori, Akihiro Yokoyama, Kenji Seki, Akiyuki Wakai, Takashi Asayama, Tai Japan Atomic Energy Agency Ibaraki O-arai Japan

ISBN: (纸本)9784888982566

In Japan Atomic Energy Agency (JAEA), an artificial intelligence (AI) aided integrated digital system named "Advanced Reactor Knowledge- and AI-aided design integration Approach through the whole plant lifecycle (ARKADIA)" is being developed to offer the best possible solutions for challenges arising during the design process, safety assessment, and operation of a nuclear plant over its life cycle. Until 2023, the platform for a common function and the subsystems: the ARKADIA-design for design study, the ARKADIA-Safety for safety assessment, and the ARKADIA-KMS for the knowledge base, are separately being developed. This paper describes the development concepts of the platform, the progress of the application study of design optimization in ARKADIA-design, the progress of optimization model developments and optimization functionality based on AI technology in the ARKADIA-Safety, and the structure of the knowledge base and application of AI technology to the ARKADIA-KMS. In the development of ARKADIA for the next five years until 2028, a strategy of unification of the sub-systems with the AI-aided platform to one system, ARKADIA, and the extension of capabilities of the numerical analyses and evaluation technologies required for plant design are presented in prospects. © 2023 by JSME.

关键词： Knowledge based systems

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Prescriptive maintenance: a comprehensive review of current research and future directions

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JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING 2025年第1期31卷 129-173页

作者： Giacotto, Alessandro Marques, Henrique Costa Martinetti, Alberto AeroLogLab Inst Tecnol Aeronaut Sao Jose Dos Campos Brazil Univ Twente Dept Design Prod & Management Enschede Netherlands

Purpose-Providing a comprehensive literature review to consolidate existing knowledge, advancements and future directions in the field. By synthesizing the state of research, this work enhances the understanding of Prescriptive Maintenance (PsM) methodologies, applications and potential benefits to assist researchers in identifying fruitful avenues for further investigation, and guide practitioners in implementing PsM strategies to improve maintenance outcomes in their industries. design/methodology/approach-through a systematic, multistage, specialists audited analysis of peer-reviewed articles, conference papers, books sections, thesis, magazines and industry reports, this work provides a literature review analyzing PsM origins, definitions, enablers, outputs and emerging trends. Findings-PsM concept evolved in recent years representing a shift from traditional maintenance, leveraging prescriptive analytics, data-driven modeling and optimization techniques to enable proactive decision-making and optimal resource allocation. By harnessing PsM, organizations can anticipate and mitigate failures, optimize maintenance actions and enhance asset reliability. Research limitations/implications-Existing literature points out the following challenges for PsM implementation: prescriptive analytics improvement, scalability of frameworks, development of prototypes, processes integration;PsM maturity assessment;asset health prognostics assertiveness, real-time data availability and adoption of cost functions to grasp business and environmental, social and governance (ESG) costs. Practical implications-Optimal deployment of resources with little or no human intervention in the maintenance decision process and the creation of new services improving reliability and operational performance. Social implications-By optimizing maintenance, not only direct costs diminish but also environmental, social and governance (ESG) related costs decrease by reducing energy waste during equipment

关键词： Prescriptive maintenance Literature review Prescriptive analytics Optimization Proactive maintenance

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design and Application of Micro-Pile Drilling Rig for Transmission Lines in Mountainous Region 19th

Design and Application of Micro-Pile Drilling Rig for Transm...

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19th Annual conference of China Electrotechnical Society, ACCES 2024

作者： Ma, Jian Sun, Wei Xu, Junyue Jing, Xin Yu, Huiyou Jinhua Electric Power Design Institute Co. Ltd. Jinhua321016 China Zhejiang Mobile Hydraulic Power Technology Company Hangzhou311121 China

ISBN: (纸本)9789819613823

The transmission lines in mountainous areas have evolved through mechanization, automation, and intelligence. From the perspectives of structural features and functions, a modular design was applied to the selection and integration of the main components of the micro-pile drilling machine. This design meets the requirements for miniaturized, lightweight, and modular construction equipment for micro-pile tower foundations in mountainous areas. Finite element method simulations were conducted on the rock-breaking process of the drill bit, aiming to find the optimal impact and rotation speeds. The results indicated that with an impact speed of 7.0 m/s and a rotation speed of 10 r/min, the bit's penetration displacement increased by 21.3%, while the peak impact reaction force only rose by 34.2%. Developing a modular, detachable micro-pile drilling machine suitable for mountainous transmission line foundations provides a valuable reference for the intelligent development of transmission lines in such regions. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Drilling machines (machine tools)

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Laboratory Verification process for Redirection Algorithm design using GNSS Deception 14

Laboratory Verification Process for Redirection Algorithm De...

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14th International conference on Information and Communication Technology Convergence, ICTC 2023

作者： Chae, Myoung-Ho Choi, Chae-Taek Choi, Seung-Ho Lee, Chang-Hoon Agency for Defense Development Daejeon Korea Republic of

ISBN: (纸本)9798350313277

Recently, anti-drone technology has been rapidly developed to counter illegal drone intrusion. To counter illegal drone, drone redirection algorithm is used with the global navigation satellite system (GNSS) spoofer and drone detection equipment. In this study, to reduce the performance gap between laboratory and field tests, we proposed a validation process in the laboratory to design and verify the drone redirection algorithm from the initial design stage to the equipment integration state before conducting field tests. The proposed process consists of four steps;tuning drone model based on flight test data, simulation in the loop (SITL) test, hardware in the loop (HITL) test using real flight control computer (FCC), HITL test using FCC, GNSS receiver and GNSS spoofer. In the process, two drone models were used, hence each result was compared and verified using a simple modeled drone and a simulator of Micropilot. In addition, through step-by-step verification, the performance of the drone redirection algorithm and system was verified by considering the performance of RADAR, GNSS spoofer, GNSS receiver, and FCC. through this verification process, it was possible to identify debugging and redesign factors that may occur during the integration stage for each equipment before field testing. Therefore, it was possible to reduce the time and cost of debugging and redesign that could be required in the field test. © 2023 IEEE.

关键词： Anti-drone Drone GNSS deception Redirection

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Advancing Aircraft Manufacturing Technology through Computer Innovations 8

Advancing Aircraft Manufacturing Technology through Computer...

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8th International conference on Electrical, Mechanical and Computer Engineering, ICEMCE 2024

作者： Pi, Zhengyang Shanghai Aircraft Design and Research Institute Derivative Aircraft Design and Payload System Integration Department Shanghai China

ISBN: (纸本)9798331506230

In the rapidly evolving aerospace industry, AI plays a pivotal role in optimizing aircraft manufacturing processes to meet increasing demands for performance, sustainability, and cost efficiency. This study conducts a rigorous analysis of critical technologies that significantly influence modern aircraft production. We assess the impact of composite materials, specifically carbon fiber-reinforced polymers (CFRP), on reducing aircraft weight and enhancing fuel efficiency. Our research quantifies how automation technologies improve production accuracy, reduce costs, and minimize human errors. We also validate the effectiveness of digital twin technologies in real-time monitoring, predictive maintenance, and process optimization using mathematical models. Furthermore, we investigate the adoption of green production practices, such as renewable energy usage, material recycling, and lifecycle assessments. Our findings demonstrate that these integrated technologies not only streamline production and lower operating costs but also decrease fuel consumption, thereby adhering to stringent international environmental standards. This paper provides empirical evidence and detailed quantitative analysis to inform and shape the future of technological integration in aerospace manufacturing. © 2024 IEEE.

关键词： Predictive maintenance

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High-Efficiency Dual-Level Grating Coupler with Heterogeneous integration on Lithium Niobate

High-Efficiency Dual-Level Grating Coupler with Heterogeneou...

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2024 conference on Spectral Technology and Applications, CSTA 2024

作者： Zhu, Qiannan Wang, Shuxiao Cai, Yan State Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Changning Road 865 Shanghai200050 China University of the Chinese Academy of Sciences Yuquan Road 19 Beijing100049 China Shanghai Industrial μTechnology Research Institute Shanghai201800 China

ISBN: (纸本)9781510683082

In this article, a high-efficiency grating coupler based on a lithium niobate platform is presented. To enhance the coupling efficiency, a silicon nitride strip waveguide grating is introduced beneath the lithium niobate grating. through the optimization of grating period, duty cycle, and other parameters using a particle swarm optimization (PSO) algorithm, a TE-polarized grating coupler with high coupling efficiency is achieved, resulting in a simulated peak coupling efficiency of approximately -2.19 dB. To further improve the performance of the grating coupler, a chirped design of the grating etch slots is implemented. A double-layer design with inversely linear variation in duty cycle is adopted, and the variation coefficients are optimized using the PSO algorithm, achieving a simulated peak coupling efficiency of approximately -1.72 dB with a 1 dB bandwidth of approximately 42 nm. process tolerance simulations are also performed on the key parameters of the double-layer grating coupler, demonstrating good process tolerance of this design. © 2024 SPIE.

关键词： Silicon nitride

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design of University Innovation and Entrepreneurship System Based on Cloud Model Data Mining Algorithm

Design of University Innovation and Entrepreneurship System ...

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2024 International conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Ma, Yingying Shandong Institute of Commerce and Technology Shandong Jinan250103 China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

This article delves into the design and implementation of innovation and entrepreneurship systems based on cloud model data mining algorithms in university environments. Firstly, through in-depth communication with stakeholders such as university management, teachers, and students, a comprehensive analysis and planning of the system's requirements were conducted. Next, the article provides a detailed description of the system architecture design, including key components such as data collection and management, data preprocessing, cloud model data mining, user interface, reporting and visualization, security and privacy protection, as well as user feedback and support. During the system development process, emphasis was placed on the design principles and construction of cloud model data mining algorithms, as well as the optimization measures taken to improve system efficiency and accuracy. The system implementation process follows a series of strategies, including preliminary planning, system development, data preparation and migration, system integration, user training, as well as system deployment and continuous maintenance. Each stage is carefully designed and executed to ensure the effectiveness and reliability of the system. After implementation, a comprehensive performance evaluation of the system was conducted, including accuracy, efficiency, and user satisfaction. The results showed that the system performed well in multiple aspects, but also pointed out some areas that needed improvement. Finally, the article summarizes the main advantages and limitations of the system, and puts forward suggestions for future work directions, including further optimizing user experience, algorithm performance, and expanding application scope. This study provides an efficient and reliable data support and decision-making assistance tool for innovation and entrepreneurship activities in universities, which is of great significance for promoting the development of the innovati

关键词： Decision making

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