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PVDF type AE Sensor monitoring system for AL-7075 surface polishing using fiber laser 17

PVDF type AE Sensor monitoring system for AL-7075 surface po...

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Laser-based Micro- and Nanoprocessing XVII 2023

作者： Kim, Hyojeong Lee, Seounghwan Lee, Juheon Lee, Sinyeop Park, Hyungjin Nam, Jaehyeon Lee, Heehwan Dept. of Mechanical Engineering BK21 FOUR ERICA-ACE Center Hanyang Univ. Korea Republic of HYU-KITECH Joint Dept. Hanyang Univ. Korea Republic of Dept. of Mechanical Engineering Hanyang Univ. ERICA Korea Republic of Dept. of Mechanical Design Engineering Hanyang Univ. Korea Republic of

ISBN: (纸本)9781510659230

Selective laser melting (SLM) is a combined process of melting and stacking three-dimensional products by fusing micro-metal powder using a laser. It has the advantage of manufacturing parts with complex structures with reduced production time. However, in the case of aluminum, the disadvantages of poor laser formability due to its high thermal conductivity, diffusivity, and reflectivity result in process defects such as bowling, pore, and poor surface quality. This study aims to develop a surface defect removal methodology during aluminum melting by laser processing and to enhance process automation capabilities by introducing a sensor monitoring scheme. In the laser experiments, aluminum specimens (AL-7075) with mechanical scratches were used and the level of surface defect removal during processing was classified depending on surface conditions. In addition, a PVDF-type acoustic emission (AE) sensor monitoring system was implemented to collect characteristic signals during the laser polishing of the machined surface(scratch). It was shown that the degree of surface defects removal and surface state could be effectively classified through a convolution neural network (CNN) utilizing the collected signals as input vectors. © 2023 SPIE.

关键词： Surface defects

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Utilization of Fibreglass Moulding Process for Fabricating Outer Appearance of Humanoid robots 9

Utilization of Fibreglass Moulding Process for Fabricating O...

引用

9th International Multidisciplinary Moratuwa engineering Research Conference, MERCon 2023

作者： Dunuwila, D.M.A.P. Gunawardhana, W.M.L.N. Basnayake, M.D.W.H. Amarasinghe, Y.W.R. Premachandra, H.A.G.C. University of Moratuwa Dept. of Mechanical Engineering Katubedda Sri Lanka Singapore University of Technology and Design Engineering Product Development Pillar Singapore

ISBN: (纸本)9798350345216

Fibreglass is a widely utilized material for structural fabrication due to its lightweight, high strength-To-weight ratio, thermal, electrical, and corrosion resistance properties. In this regard, the fibreglass moulding process allows the fabrication of complex customized designs with aesthetic appearance. This paper presents a comprehensive methodology for fabricating the outer appearance of customized humanoid robots. The proposed approach comprises 3D modelling, constructing reference lines for the mould, assembling reference structure, creating mould, and master mould, along with extracting the final outer shell using fibreglass. This process can be applicable in fabricating customized, complex-shaped large-sized robots along with reusable moulds for both bulk and small-scale fabrications. The paper explicitly documents the overall process and validates the methodology by applying the proposed procedure to fabricate the outer appearance of a real-world humanoid robot. © 2023 IEEE.

关键词： Fabrication

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SUSTAINING CREATIVELY? INVESTIGATING THE EFFECTS OF CREATIVITY AND SUSTAINABILITY-FOCUSED EVALUATION CRITERIA IN design TASKS

SUSTAINING CREATIVELY? INVESTIGATING THE EFFECTS OF CREATIVI...

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ASME 2024 International design engineering Technical Conferences and Computers and Information in engineering Conference, IDETC-CIE 2024

作者： Alzayed, Mohammad Alsager Starkey, Elizabeth M. Ritter, Sarah C. Prabhu, Rohan Dept. of Industrial and Management Systems Engineering Kuwait University Kuwait City Kuwait School of Engineering Design and Innovation The Pennsylvania State University University ParkPA United States Dept. of Mechanical Engineering Lafayette College EastonPA United States

ISBN: (纸本)9780791888384

As the need for environmentally sustainable solutions grows, there has emerged an ongoing effort to integrate considerations for the environment throughout the engineering design process. Towards these efforts, several researchers have employed creativity-invoking methods such as alternate uses tasks to encourage the generation of environmentally sustainable solutions. Moreover, these efforts span the design process, ranging from concept generation to concept selection and evaluation. Prior research suggests that external evaluations play an important role in regulating designers’ motivation, and consequently, the outcomes of their design and creative processes. However, little research has investigated how the evaluation criteria used in sustainable design tasks influence designers’performance. Our aim in this research is to investigate this research gap through an experimental study with novice designers. Specifically, we compared the solutions generated by designers when given a design problem with either creativity-focused evaluation or sustainability-focused evaluation. From the results of our experiment, we see that the evaluation criteria used in the design problem did not impact either the creativity or the environmental sustainability of the participants’ solutions. This finding calls for a deeper investigation into the role of creativity in the generation of environmentally sustainable solutions. This finding also calls for a further study of the potentially conflicting tradeoffs involved in the design of environmentally sustainable solutions. Copyright © 2024 by ASME.

关键词： Sustainable development goals

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CNC Interpolator Parameter Optimization using Deep Learning 4

CNC Interpolator Parameter Optimization using Deep Learning

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4th IEEE Eurasia Conference on IoT, Communication and engineering, ECICE 2022

作者： Lin, Jian-An Lin, Ming-Tsung Li, Yong-Zhong Wang, Ya-Hsuan National Formosa University Dept. of Mechanical Design Engineering Yunlin Taiwan National Formosa University Dept. of Mechanical Design Engineering Smart Machine and Intelligent Manufacturing Research Center Yunlin Taiwan National Formosa University Dept. of Precision Mechanical Engineering Yunlin Taiwan

ISBN: (纸本)9781665482080

A CNC parameter optimization approach is presented to predict machining quality based on deep learning. The approach aims to optimize tracking error, contouring error, and cycle time simultaneously. CNC interpolator parameters including the limit of velocity, acceleration, jerk and corner tolerance are regarded as experimental factors. The standard test toolpath KANINO is adopted to collect signals of motion axes in various combinations of interpolation parameters. The back propagation neural network (BPNN) is utilized to establish the predicted model between the interpolation parameters and machining performance index. The parameter combination is optimized by the trained BPNN model with the non-dominated sorting genetic algorithm II (NSGA II). Finally, experimental validations are provided to demonstrate effectiveness of the proposed method in improvement of machining quality. © 2022 IEEE.

关键词： Deep neural networks

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designing a Toolkit for Dissemination 53

Designing a Toolkit for Dissemination

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53rd IEEE ASEE Frontiers in Education International Conference, FIE 2023

作者： Turns, Jennifer Cook, Kathleen E. Shuman, Teodora Rutar Han, Yen-Lin Mason, Greg University of Washington Dept. of Human Centered Design & Engineering SeattleWA United States Seattle University Dept. of Psychology SeattleWA United States Seattle University Dept. of Mechanical Engineering SeattleWA United States

ISBN: (纸本)9798350336429

This Innovative Professional Practice paper reflects a work in progress. Many in engineering education are interested in the dual issues of how to support engineering education change and how to disseminate and share ideas that others can use on their quest to change. Toolkits are quickly emerging as a genre for sharing that addresses dissemination goals while also respecting the agency of those involved in change efforts. This paper describes a toolkit formation process that utilizes co-design. The toolkit is intended as a means of disseminating transferable activities in a major educational grant funded by the National Science Foundation. The paper includes traces of our efforts in deciding toolkit and co-design workshop contents, the challenges we experienced, and the decisions we made and remade. We anticipate this paper provides a case from which those interested in creating toolkits can gain inspiration. We also anticipate that our case can be used to seed a conversation about toolkit creation that centers on the goals, the steps, and the outcomes. © 2023 IEEE.

关键词： change co-design dissemination engineering education Toolkits

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Enhancing the Performance of Biosensors Using Advanced Materials 4

Enhancing the Performance of Biosensors Using Advanced Mater...

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4th Novel Intelligent and Leading Emerging Sciences Conference, NILES 2022

作者： Shabana, Yasser M. Tarek, Dina Samir, Sara Gaber, Shehab A. Amer, Shimaa M. Shaban, Abdelrahman M. Ibrahim, Mohamed A.A. Elfaramawy, M.O. Ibrahim, M.O.M. El Qassim, M. Abdelhamid, Nour M. Mataria Helwan University Faculty of Engineering Mechanical Design Dept. Cairo Egypt Mechanical Power Dept. Faculty of Engineering Mataria Helwan University Cairo Egypt

ISBN: (数字)9781665452410

ISBN: (纸本)9781665452410

The performance of different components in various engineering applications can be enhanced when using advanced materials. These materials are distinguished from the traditional ones by their superior properties. The material properties play the main role in enhancing the behavior and therefore the performance of a component. One class of these advanced materials is the functionally graded materials (FGMs) where the properties vary with the position. In most of the FGMs previous works in the literature, the properties are considered to vary along one of the body dimensions. In the present work, the performance of a microcantilever biosensor is investigated using FGM where Young modulus, which is the main property, varies along an axis that is inclined on the longitudinal direction of the biosensor by different angles. Therefore, the properties vary in both the longitudinal and thickness directions of the biosensor. The deflection and the induced concentrated force at the free end of the sensor are discussed for the sake of enhancing the performance. Eventually, the sensitivity and other performance parameters can be enhanced by the proper choices of the various design parameters. © 2022 IEEE.

关键词： Functionally graded materials

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A non-equilibrium wall model: application to the QinetiQ high-lift aircraft

A non-equilibrium wall model: application to the QinetiQ hig...

引用

AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Agrawal, Rahul Bose, Sanjeeb T. Moin, Parviz Department of Mechanical Engineering Center for Turbulence Research Stanford University United States Cadence Design Systems Inc Institute for Computational and Mathematical Engineering Center for Turbulence Research Stanford University United States Dept. of Mechanical Engineering Center for Turbulence Research Stanford University United States

ISBN: (纸本)9781624107238

This work applies the non-equilibrium wall model of Agrawal et al., 2024 (arXiv preprint arXiv:2407.11390) to the flow over the QinetiQ High-Lift Common Research Model aircraft at low angles of attack. This choice is motivated by the previously reported misprediction of flow separation on the trailing edges of the flap in wall-modeled large-eddy simulations of this aircraft. It is shown that the proposed non-equilibrium model identifies conditions where the boundary layer significantly departs from equilibrium conditions around the trailing edges of the flap and the wing-body fairing. Further, the model provides improved predictions of the integrated loads, such as the lift, pitching moment, and drag in this regime for two grids containing 103 and 384 million control volumes, respectively, relative to the equilibrium wall model. The surface pressure data suggests the overprediction of lift from the equilibrium wall model is correlated with an overproduction of the suction peak and the reduced Cp flattening around the flaps. Finally, it is also shown that the refinement of the fuselage boundary layer and the uniformity of the grid distribution on the wing elements can further improve the predictions of flap separation. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Flow separation

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Decoding EEG-based Motor Imagery of Hand Grasp Types for an Amputee Due to Birth Trauma 13

Decoding EEG-based Motor Imagery of Hand Grasp Types for an ...

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13th International Winter Conference on Brain-Computer Interface, BCI 2025

作者： Ahn, Seong-Ho Kim, Zion Jung, Jun Ha Lee, Hyeon-Jun Kim, Heejin Cho, Jungu Jeong, Jaeseung Dept. Artificial Intelligence The Catholic University of Korea Bucheon Korea Republic of Dept. Mechanical Engineering KAIST Daejeon Korea Republic of Dept. Brain and Cognitive Sciences KAIST Daejeon Korea Republic of Dept. Bio and Brain Engineering KAIST Daejeon Korea Republic of Dept. Industrial Design KAIST Daejeon Korea Republic of AI R&D Division CJ Group Seoul Korea Republic of

ISBN: (纸本)9798331521929

An amputee due to birth trauma represents a very unique case, in which amputation occurred from delivery process itself. Providing appropriate prosthetics is crucial for enabling such case to improve their daily workout and provide entirely new experiences. However, in such case, conventional surface electromyography (sEMG)-based methods for prosthetic control are unsuitable due to the lack of sufficient sEMG signals, as a case has never used the amputated limb since birth. As an alternative to sEMG, we apply an electroencephalography (EEG)-based approach for prosthetic control. In this study, we demonstrated the feasibility of EEG-based motor imagery decoding for hand grasp types to control a prosthetic hand. We collected 10 days of EEG data about one subject and achieved a 10x5-fold cross-validation accuracy of 0.8740 ± 0.0965 in classifying cylindrical and lateral grasps using time delay embedding (TDE) and tangent space mapping (TSM). Our results demonstrate the effectiveness of TSM as an EEG decoder and the performance improvement achieved by TDE. Future work will focus on adapting this approach for real-world brain-computer interface applications. © 2025 IEEE.

关键词： Brain computer interface

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Cognitive TransFuser: Semantics-Guided Transformer-Based Sensor Fusion for Improved Waypoint Prediction 11th

Cognitive TransFuser: Semantics-Guided Transformer-Based Sen...

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11th International Conference on robot Intelligence Technology and Applications, RiTA 2023

作者： Choi, Hwan-Soo Jeong, Jongoh Hoo Cho, Young Yoon, Kuk-Jin Kim, Jong-Hwan Robot Intelligence Technology Lab. School of Engineering KAIST Daejeon Korea Republic of dSPECTER Seoul Korea Republic of Visual Intelligence Lab. Robotics Program and Dept. of Mechanical Engineering KAIST Daejeon Korea Republic of

ISBN: (纸本)9783031706868

Sensor fusion approaches for intelligent self-driving agents remain key to driving scene understanding given visual global contexts acquired from input sensors. Specifically, for the local waypoint prediction task, single-modality networks are still limited by strong dependency on the sensitivity of the input sensor, and thus recent works therefore promote the use of multiple sensors in fusion in feature level in practice. While it is well known that multiple data modalities encourage mutual contextual exchange, it requires global 3D scene understanding in real-time with minimal computation upon deployment to practical driving scenarios, thereby placing greater significance on the training strategy given a limited number of practically usable sensors. In this light, we exploit carefully selected auxiliary tasks that are highly correlated with the target task of interest (e.g., traffic light recognition and semantic segmentation) by fusing auxiliary task features and also using auxiliary heads for waypoint prediction based on imitation learning. Our RGB-LIDAR-based multi-task feature fusion network, coined Cognitive TransFuser, augments and exceeds the baseline network by a significant margin for safer and more complete road navigation in the CARLA simulator. We validate the proposed network on the Town05 Short and Town05 Long Benchmark through extensive experiments, achieving up to 44.2 FPS real-time inference time. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Semantic Segmentation

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Comparative Analysis of PSO Variants for Efficient Optimization of Hydrogen IC Engines 21

Comparative Analysis of PSO Variants for Efficient Optimizat...

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21st OITS International Conference on Information Technology, OCIT 2023

作者： Dash, Khushbu Panda, Aman Mishra, Nachiketa Amrita Vishwa Vidyapeetham Amrita School of Engineering Dept. of Chemistry Chennai601103 India Indian Institute of Information Technology Design Manufacturing Dept. of Mechanical Engineering Kancheepuram Chennai600127 India Indian Institute of Information Technology Design Manufacturing Dept. of Sciences Humanities Kancheepuram Chennai600127 India

ISBN: (纸本)9798350358230

This study aims to optimize injection and ignition timings in hydrogen internal combustion engines through the Engine Control Module (ECM). Optimization in terms of computational time is essential for seamless engine performance. This work considers an optimization problem formulated in [International Journal of Hydrogen Energy, Volume 48, Issue 25, 2023, 9462-9473], which has been solved using the Multiple Populations Genetic Algorithm (MPGA). The present work provides a comparative study between MPGA and different variants of the Particle Swarm Optimization (PSO). Ultimately, we found that a suitable variant of Dynamic Multi-Swarm Particle Swarm Optimization (DMS-PSO) is comparable to MPGA in terms of convergence rate versus the number of generations and is superior in both computational time and convergence rate against mean time. © 2023 IEEE.

关键词： Genetic algorithms

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