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2024 International Design Society Conference, Design 2024

作者： Wanninger, Tobias Frank, Jintin Zimmermann, Markus Technical University of Munich TUM School of Engineering and Design Department of Mechanical Engineering Laboratory for Product Development and Lightweight Design Germany

This paper presents a method for the lightweight design of robotic links subject to dynamic loads and requirements on the overall system stiffness. It includes (1) a decomposition scheme to enable separate component optimization and (2) an approach based on topology optimization for optimal load path design of screw connections. The approach reduces computing cost and mass of designs with screw connections. © 2024 Proceedings of the Design Society. All rights reserved.

关键词： Dynamic loads

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COMPONENT TESTING OF SANDWICH STRUCTURES WITH MORE REALISTIC BOUNDARY CONDITIONS 23

COMPONENT TESTING OF SANDWICH STRUCTURES WITH MORE REALISTIC...

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23rd International Conference on Composite Materials, ICCM 2023

作者： Schwan, Lukas Schellhorn, Johann Krause, Dieter Institute of Product Development and Mechanical Engineering Design Hamburg University of Technology Germany

As part of the design process for aircraft cabin monuments, the loads on the fasteners, like inserts are determined using global FEM and are compared with allowables of the fasteners. The allowables are determined in component tests, which currently have highly idealized boundary conditions, resulting in high safety factors being added. In this paper, application-oriented component tests with realistic boundary conditions for insert systems are proposed, experimental investigations are performed on them, and virtual models are implemented. The studies show that the boundary conditions have a great influence on the structural behavior and the failure mechanisms of the sandwich structure and the insert system. The results further prove that tests with application-oriented loading situations should be used to validate detailed virtual models, e.g. to ensure their use as submodels in the global FEM analysis of large sandwich structures. In addition, an example is given to show how such a component test with realistic boundary conditions can be used in the design optimization of the load introduction. © 2023 International Committee on Composite Materials. All rights reserved.

关键词： Boundary conditions

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Innovation by Design: Key Challenges Faced by Budding Designers Developing Solutions for Dementia 9th

Innovation by Design: Key Challenges Faced by Budding Design...

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9th International Conference on Research into Design, ICoRD 2023

作者： Siew, William Silva, Arlindo Rai, Bina Singapore Singapore Engineering Product Development SUTD Singapore Singapore Singapore Singapore

ISBN: (纸本)9789819904273

As design research and innovation are context-dependent, projects may fail when intended outcomes do not match the actual needs. While design research is sometimes perceived as time-consuming, the findings can result in value identification and creation through innovation by design. Using a mixed-methods approach, the utility of design thinking can be measured by way of identifying key challenges in a design process and evaluating design outcomes. A qualitative study was conducted with 27 teams of students across four workshops held in local universities and design communities that used an Ideate-Prototype-Realise (I-P-R) process when designing empathetic technology for community health. Through analysis of descriptive data, the factors that hinder a well-thought-out design are examining use environment, conducting stakeholder analysis, having access to market, and prioritising key concepts. With the findings, specific methods are discovered to support designers in examining external environment and human factors. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Design

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Motion Planning Framework for Low Obstacle Traversal and Avoidance 16th

Motion Planning Framework for Low Obstacle Traversal and A...

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16th International Federation of Theory of Machines and Mechanisms World Congress, IFToMM WC 2023

作者： Lawrence, Brandon Joseph Shen, Chen Ho, Hoan-Nghia Soh, Gim Song Engineering Product Development Singapore University of Technology and Design Singapore487372 Singapore

ISBN: (纸本)9783031457692

Quadrupedal robots are able to navigate across different terrain types, making them suitable for navigation in unstructured environments. This paper presents a motion planning algorithm that allows quadrupedal robots to navigate indoor environments with low obstacles. A perception module detects and classifies low obstacles as either traversable or non-traversable and extracts a set of boundary points to generate a costmap. Next, a state machine framework selects the optimal traversal behavior in real-time to avoid or cross over low obstacles autonomously. The framework was deployed on a quadrupedal robot, the Ghost Robotics Vision60, using Robot Operating System (ROS). Experiments show that the robot is able to detect low obstacles of diverse geometry and size (width and length) with RMSE within 5% of the obstacle’s size and autonomously navigate across the obstacles thereafter. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Motion planning

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Introducing a Self-Sufficient Environmental Monitoring IoT System Based on Microbial Fuel Cell 7

Introducing a Self-Sufficient Environmental Monitoring IoT S...

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7th International Conference on Green Technology and Sustainable development, GTSD 2024

作者： Li, Ian E.Y. Cheng, Tiger Y. S. Wong, Kelvin W. L. City University of Hong Kong Electrical Engineering Department Hong Kong Factgie.Co Ltd Product Development Dept Hong Kong Factgie.Co Ltd Product Development Dept Hong Kong

ISBN: (纸本)9798350386073

Based on the market research report by the International Market Analysis Research and Consulting Group (IMARC) Group, the global market for environmental monitoring has surpassed USD$20 billion in 2022. It is projected to grow to over USD$31 billion by 2028, primarily driven by the increasing demand for environmental monitoring in developing nations, particularly China. However, implementing an Environmental Monitoring System (EMS) poses significant challenges in terms of scale and cost. In rural areas, the deployment of EMS typically requires a substantial number of sensors, predominantly powered by battery packs, solar panels, and stationary power supplies. Except for stationary power supplies, the other two methods entail a considerable amount of resources for monitoring and replacement, leading to higher operational costs. To address these challenges, this research project aims to propose a self-sustaining Internet of Things (IoT) monitoring system. This system integrates a power generator based on moss-based microbial fuel cells (MFCs), which generate a voltage output through photosynthesis. Additionally, the system will incorporate a voltage booster circuit to amplify the power output to a usable level of 3.3 volts. This voltage level enables the system to power various IoT devices, such as MCUs and a wide range of sensors, enhancing its versatility and applicability. By eliminating the need for solar panels and reducing maintenance costs and frequency, the proposed system has the potential to reduce overall expenses significantly. This cost reduction would facilitate wider adoption of the system by companies and countries, contributing to the mitigation of environmental pollution. © 2024 IEEE.

关键词： Environmental monitoring

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A dataset for evaluating Bengali word sense disambiguation techniques

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Journal of Ambient Intelligence and Humanized Computing 2023年第4期14卷 4057-4086页

作者： Das Dawn, Debapratim Khan, Abhinandan Shaikh, Soharab Hossain Pal, Rajat Kumar Department of Computer Science and Engineering University of Calcutta Calcutta India Product Development and Diversification ARP Engineering Calcutta India Department of Computer Science and Engineering BML Munjal University Kapriwas India

The computation of natural language enables a suitable transmission through the universe by retrieving the correct sense of each word. A word may be monosemous or polysemous. The use of polysemous words in an appropriate context plays a critical role in communication. Over the last 2 decades, a significant amount of research has been done for automatically solving the correct sense of a polysemous word in the context of word sense disambiguation. A word sense disambiguation algorithm identifies the proper sense of a polysemous word by analysing the contextual data. Nevertheless, there is a gap in the contemporary literature regarding the availability of datasets in Asian languages, especially Bengali. Therefore, in this work, we have presented a dataset comprising hundred Bengali polysemous words. Each word in this dataset consists of three or four disjoint senses, and each sense comprises ten paragraphs. Each paragraph describes the sense of a particular polysemous word. We have performed statistical analysis on the basis of seven relevant and important characteristics. A general framework has also been presented for training and testing with possible guidelines for performance analysis. A baseline strategy has been introduced based on four feature sets. Finally, a set of experiments have been performed to analyse the system performance. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Natural language processing systems

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Freestanding 3D piezoelectric PVDF sensors via electroprinting

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Materials Today: Proceedings 2022年 70卷 447-453页

作者： Kumar Reddy Bannuru, Kranthi Raj Plamootil Mathai, Aby Valdivia y Alvarado, Pablo Yee Low, Hong Engineering Product Development Singapore University of Technology and Design 8 Somapah Road 487372 Singapore

Polyvinylidene fluoride, PVDF is a soft piezoelectric material with potential applications in robotic sensors and actuators, wearable electronics, and energy harvesting. The sensitivity of piezoelectric PVDF is attributed primarily to the β-crystalline phase with oriented dipoles. 3D electroprinting process is a promising technique to achieve 3D PVDF-based piezoelectric devices because the combined mechanical stretching and electric field-assisted poling can improve the electroactive crystalline phases in PVDF. In this work, we show that the incorporation of an anti-solvent in the PVDF solution was instrumental in obtaining an optimum solution viscosity and solvent evaporation rate to achieve mechanically stable layer-by-layer printing. Two major process parameters further influencing the resolution of the printed structure were nozzle-to-collector distance and extrusion pressure. Freestanding 3D PVDF structures with an average individual layer height as small as 30 µm and continuous prints for multiple 3D designs have been achieved. FTIR and XRD spectra show an improvement in the electroactive β and γ phases in the electroprinted PVDF compared to the dominant α phase of PVDF powder. Furthermore, the 3D PVDF structures display sensitivity to various load profiles at varying frequencies with the piezoelectric voltage coefficient (g33) range between 1.72E-4 and 4.08E-4 V.m/N. © 2022

关键词： Electrohydrodynamics

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Fabrication and characterization of photopatterned 3D cell-laden grafts

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Materials Today: Proceedings 2022年 70卷 143-147页

作者： Xiaolei, Nie Hashimoto, Michinao Pillar of Engineering Product Development Singapore University of Technology and Design Singapore 487372 Singapore

Three-dimensional (3D) cell-laden grafts are useful tools as models for drug screening and mechanistic study in developmental biology. Such grafts are typically fabricated on a flat substrate, released to be freestanding, and incubated in a cell-culture media. In this study, we examined the effect of cell culture conditions on the thickness of cell-laden grafts. We found that floating culture increased the thickness of the grafts, which was attributed to the relief of restraining forces from the substrate that resulted in the growth of the graft. Due to the limited sample size and large variation in the thickness of individual grafts, however, further investigation is required to conclude the reason for the change in the thickness. This research potentially leads to a simple approach for the fabrication of 3D cell-laden grafts with larger thickness than traditional pseudo-two-dimensional (2D) grafts created by bioprinting. © 2022

关键词： Cells

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Integration of AI in Smart Electric Drivetrains 17

Integration of AI in Smart Electric Drivetrains

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17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2024

作者： Kok, Chiang Liang Ho, Chee Kit Lee, Charles Thanh, Nguyen To Cong Teo, Tee Hui The University of Newcastle College of Engineering Australia Singapore Institute of Technology Engineering Cluster Singapore Singapore University of Technology and Design Engineering Product Development Singapore

ISBN: (纸本)9798331530471

This research explores the integration of artificial intelligence (AI) in smart electric drivetrains, highlighting its potential to revolutionize the performance and efficiency of electric vehicles (EVs). By leveraging AI technologies, manufacturers can optimize energy management, enhance predictive maintenance, and improve overall driving experiences, thereby contributing to sustainable transportation solutions. The study addresses the multifaceted benefits of AI integration, including increased range, improved vehicle handling, and reduced operational costs, while also acknowledging the significant challenges that accompany this transformation. These challenges include the complexity of developing reliable algorithms, ensuring cybersecurity, managing data privacy, and overcoming consumer skepticism. Through a comprehensive analysis of the current landscape, the findings suggest that by effectively navigating the challenges and harnessing the power of AI, the automotive sector can significantly advance toward a more efficient, safe, and environmentally friendly future in transportation. © 2024 IEEE.

关键词： Predictive maintenance

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Prediction of Failures in Air Pressure System: A Semi-supervised Framework Based on Transformers 22

Prediction of Failures in Air Pressure System: A Semi-superv...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Farea, Shawqi Mohammed Mumcuoglu, Mehmet Emin Unel, Mustafa Mise, Serdar Unsal, Simge Cevik, Enes Yilmaz, Metin Koprubasi, Kerem Faculty of Engineering and Natural Sciences Sabanci University Istanbul Turkey Product Development Ford OTOSAN Istanbul Turkey

ISBN: (纸本)9798331527471

The air pressure system (APS) plays a prime role in pressurizing various subsystems of heavy-duty vehicles (HVDs). However, its reliability is crucial to ensure uninterrupted operation where failures in APS lead to HVDs being stranded on the road with the manufacturers and operators incurring associated high costs. This paper addresses the problem of predicting failures in APS using a semi-supervised transformer-based framework. The proposed framework commences with important preprocessing steps including data segmentation followed by sliding windows to handle the big raw data, and subsequent extraction of distinctive features. Using these features, the transformer model was trained to reconstruct data from healthy vehicles (i.e., vehicles without any APS failures) to capture the normal behavior of the healthy vehicles. At inference, the trained model distinguished the faulty vehicles with detected APS failure from the healthy ones based on their reconstruction errors. This semi-supervised formulation of APS failure detection overcomes limitations such as the imbalanced data issue and anomaly heterogeneity that are associated with the conventional supervised formulation. The model demonstrated robust performance with an F1 score of approximately 0.76, an accuracy of about 85%, and a high recall of 0.833, indicating successful detection of most faulty vehicles. Such advancements promise significant improvements in vehicle diagnostics and predictive maintenance. © 2024 IEEE.

关键词： Predictive maintenance

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