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检索条件"丛书名=Lecture Notes in Mechanical Engineering"

共 6720 条记录，以下是301-310 订阅

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The Identical Parallel Machine Scheduling Problem with Setups and Additional Resources 32nd

The Identical Parallel Machine Scheduling Problem with Setup...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Soares, Angelo Ferreira, Ana Rita Lopes, Manuel Pereira Polytech Porto ISEP P-4249015 Porto Portugal INESC TEC R Dr Roberto Frias 400 P-4200465 Porto Portugal

ISBN: (纸本)9783031381645;9783031381652

This paper studies a real world dedicated parallel machine scheduling problem with sequence dependent setups, different machine release dates and additional resources (PMSR). To solve this problem, two previously proposed models have been adapted and a novel objective function, the minimisation of the sum of the machine completion times, is proposed to reflect the real conditions of the manufacturing environment that motivates this work. One model follows the strip-packing approach and the other is time-indexed. The solutions obtained show that the new objective function provides a compact production schedule that allows the simultaneous minimisation of machine idle times and setup times. In conclusion, this study provides valuable insights into the effectiveness of different models for solving PMSR problems in real-world contexts and gives directions for future research in this area using complementary approaches such as matheuristics.

关键词： Parallel machines Scheduling Setups Additional Resources

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Picosecond Laser Surface Texturing of Al2024-T3 Substrate for Super-Hydrophobicity 3rd

Picosecond Laser Surface Texturing of Al2024-T3 Substrate fo...

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3rd International Conference on Advanced Surface Enhancement (INCASE)

作者： Wang, Xincai Ye, Kaidong Qian, Min Chandrasegaran, Raahgini Xie, Hong ASTAR Singapore Inst Mfg Technol Singapore SIMTech 2 Fusionopolis Way08-04 Innovis Singapore 138634 Singapore

ISBN: (纸本)9789819986422;9789819986439

In the paper, 1.06 mu m picosecond (ps) laser is employed to fabricate micro/nano surface textures on Al2024-T3 substrate. The effects of different laser parameters including laser fluence, repetition rate, scanning speed, pulse number, focal position, etc. on the topography, feature profile, feature dimensions of the induced surface textures have been studied. The optimum laser parameters have been identified and the uniform-distributed 2 scale micro-nano hierarchical bump array, sub-micron-ripple and micro-dimple array surface patterns are fabricated on the Al2024-T3 substrates. The laser textured Al2024-T3 sample shows stable super-hydrophobic property with a water contact angle (WCA) of more than 150 degree and contact angle hysteresis (CAH) of less than 10 degree. The mechanism involved in the process is discussed in terms of surface morphology and surface chemistry. The developed process has the potential to be applied in improving the performance of the Al-based components and/or products in terms of superhydrophobicity and easy cleaning.

关键词： Picosecond laser Surface texturing Al2024-T3 Super-hydrophobicity

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Predictive Modelling of Curve Squeal Occurrence in Tramways: Influence of Wheel/Rail Double Contact Points 14th

Predictive Modelling of Curve Squeal Occurrence in Tramways:...

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14th International Workshop on Railway Noise (IWRN)

作者： Castellini, Federico Faccini, Leonardo Di Gialleonardo, Egidio Alfi, Stefano Corradi, Roberto Squicciarini, Giacomo Politecn Milan Dept Mech Engn Via Giuseppe Masa 1 I-20156 Milan Italy Univ Southampton ISVR Southampton SO17 1BJ Hants England

ISBN: (纸本)9789819978519;9789819978526

The prediction of curve squeal is one of the most challenging problems especially in tramway applications, where the negotiation of very sharp curves often involves the presence of multiple contact points at wheel/rail interface. Curve squeal is generally attributed to the self-excited vibration of the wheel/rail system, which may occur due to the negative slope of the friction coefficient or due to the mode-coupling mechanism. The frequencies involved are usually the ones corresponding to the wheel modes of vibration, resulting in a strong, tonal and very annoying noise emission. Its occurrence is strictly related to the wheel/rail contact conditions, such as creepages, contact angle and friction coefficient. The purpose of this paper is to assess the role of the presence of double contact points at wheel/rail interface. The investigation is performed through a multibody simulation in time-domain and a frequency-domain predictive model capable to reproduce the linearized wheel/rail dynamics including the presence of multiple contact points between the wheel and the rail. It is shown how the presence of flange contact can alter the overall wheel/rail coupled system mobility, modifying the curve squeal occurrence as well as the wheel modes involved in the phenomenon.

关键词： Curve squeal Self-excited vibrations Tramways

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Derivation of a Condensation Heat Transfer Model for Light Water Reactor Applications Using Machine Learning Techniques

Derivation of a Condensation Heat Transfer Model for Light W...

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Saudi International Conference on Nuclear Power engineering (SCOPE)

作者： Albdour, Samah A. Addad, Yacine Afgan, Imran Khalifa Univ Sch Engn Dept Mech Engn POB 127788 Abu Dhabi U Arab Emirates Khalifa Univ Sci & Technol Emirates Nucl Technol Ctr ENTC POB 12277 Abu Dhabi U Arab Emirates Khalifa Univ Sci & Technol Sch Engn Dept Nucl Engn POB 12277 Abu Dhabi U Arab Emirates Univ Manchester Sch Engn Dept Fluids & Environm Manchester M13 9PL Lancs England

ISBN: (纸本)9783031643613;9783031643620

In this study we develop a model that can predict the condensation heat transfer coefficient (HTC) during free fall condensation on vertical tube surfaces in the presence of non-condensable gases (NCG). The aim is to compile a comprehensive database that includes a wide range of geometric values and operating conditions. The study is specifically motivated by the need to establish a generalized model/correlations that can predict the condensation heat transfer performance of the passive containment cooling system used in nuclear power plants [1, 2]. This passive cooling system eliminates heat from the containment vessel in case of an accident by condensing water vapor with gravity-driven force. To develop the model, we used MATLAB's neural network toolbox to build an artificial neural network (ANN) model, specifically a multi-layer perceptron (MLP) network. The model predicts the HTC during the condensation process of two types of NCGs (air and nitrogen) as well as pure steam. The inclusion of pure steam data aims to improve the accuracy of predictions under conditions where light gases are present. The dataset used for the model was constructed from 1,613 data points obtained from various experimental sources. The input layer receives various parameters, including P-tot, Delta T-sub, W-nc, L, D-h. The output data is the condensation HTC. The input data was normalized by scaling each feature between the range of 0 to 1, whereas the output data was subjected to a transformation using the natural logarithm. The resulting machine learning model exhibited outstanding performance when predicting the condensation HTC. The findings of this study will represent a significant advancement in the analysis of large amounts of data from experiments and simulations, enabling the identification of complex patterns and relationships. Findings from the present study would serve as tools for the nuclear industry for designing and modelling Design Basis Accident (DBA) and Design Exten

关键词： Artificial neural networks condensation heat transfer coefficient machine learning multi-layer perceptron non-condensable gases Steam condensation

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Heat Transfer Decay Characteristics Downstream of a Vortex Generator 14th

Heat Transfer Decay Characteristics Downstream of a Vortex G...

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14th International Conference on Computational Heat and Mass Transfer (ICCHMT)

作者： Dang, Wei Deng, Wen-Qiang Song, Ke-Wei Wang, Liang-Bi Lanzhou Jiaotong Univ Sch Mech Engn Lanzhou 730070 Peoples R China Lanzhou Jiaotong Univ Key Lab Railway Vehicle Thermal Engn MOE Lanzhou 730070 Gansu Peoples R China Key Lab Serv Environm & Intelligent Operat & Main Lanzhou 730070 Gansu Peoples R China

ISBN: (纸本)9783031672408;9783031672415

This paper reports a numerical investigation of heat transfer decay characteristics in a plate channel with delta winglet vortex generator (DWVG) under the turbulent. The angle of attack of DWVG are investigated. Effects of geometry of vortex generator on heat transfer decay characteristics downstream of DWVG were carried out computationally at different Reynolds numbers. It was found that the Nusselt number increase with the increasing attack angle of the DWVG. The longitudinal vortex can transmit a long distance and decay continuously along the main stream, the longitudinal distance between the vortex generators is smaller than that of the distance of longitudinal vortex decay in order to ensure that the longitudinal vortex has a certain strength.

关键词： Decay characteristics Longitudinal vortices Vortex generator

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Transparent Object Classification and Location Using MmWave Radar Technology for Robotic Picking 32nd

Transparent Object Classification and Location Using MmWave ...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Rodrigues, Ricardo N. C. Borges, Joao Moreira, Antonio H. J. IPCA Sch Technol 2Ai Barcelos Portugal

ISBN: (纸本)9783031382406;9783031382413

Detection of transparent objects for classification or localization are among the most challenging tasks in flexible automation areas for highly personalized manufacturing. Additional issues arise when also applying the concepts of Lights-out-Manufacturing. The need to make processes more flexible and efficient are some of the key objectives of Industry 4.0, with automation going as far as removing all personnel from factory floors. In this sense, this paper presents a prototype tool proposing the use of mmWave (millimeter Wave) radars to detect, classify and locate objects, especially transparent ones, by evaluating two versions of radars produced by Texas Instruments. The best approaches to acquire data, classify and locate the objects with mmWave radars are explored using a combined solution of a robotic system and Deep Neural Networks (DNN) to process the cloud points. Using a total of 12 scanning routines, 6 showed more than 80% of detection accuracy, 2 near 40%, 1 above 70% and 3 were not able to be execute due to physical limitations. The classification of stationary objects showed limited results. Motion variations on object position shows an accuracy decreased, to around 40%. The velocity changes were also assessed, revealing that at slower velocities (0.03 m/s) the accuracy increases above 80%. The final system evaluation was executed in two approaches with raw data direct from sensor and normalized data around the axis coordinate, showing similar and promising results in both approaches. The localization did not show the best results, although improvement to the methodology is suggested.

关键词： mmWave Industry 4.0 Lights-out-Manufacturing Transparent object classification

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Digital Twin System Framework for Gripping Deformable Objects with Synthetic Data and Reinforcement Learning 33rd

Digital Twin System Framework for Gripping Deformable Object...

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Choi, Minho Kim, Dongjun Moon, Junhyuck Kim, Minji Um, Jumyung Kyung Hee Univ Dept Artificial Intelligent 1732 Deogyeong Daero Yongin Gyeonggi Do South Korea Kyung Hee Univ Ind & Management Syst Engn 1732 Deogyeong Daero Yongin Gyeonggi Do South Korea

ISBN: (纸本)9783031744815;9783031744822

This paper details the development of an advanced robotic system utilizing digital twin technology for the efficient manipulation of deformable objects, such as cables and tubes, within manufacturing processes. Traditional robotic systems often require human intervention for these tasks, leading to increased operational costs and delays. Our system dynamically updates its programming to handle these materials effectively, using synthetic data generated from a virtual environment to improve both efficiency and adaptability in manufacturing. The approach integrates image-based detection and reinforcement learning for accurate manipulation, alongside a dynamic feedback mechanism for addressing complex handling tasks using offline programming. Furthermore, the system employs a probabilistic roadmap algorithm for generating robot path without obstacle avoidance. The paper outlines the research problem, reviews relevant literature, describes the proposed methodology, and presents experimental results. These demonstrate the system's enhanced capability in accurately identifying and managing flexible objects, representing a significant improvement in robotic technology for the manufacturing industry.

关键词： Deformable Object Digital Twin Object Detection Reinforcement Learning Synthetic Data

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Evaluation of PCD Micro Drill Fabrication Using Line-Ultra Laser Technology 1

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33rd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Wang, I-Hung Lesmawanto, Ardi Chang, Shinn-Liang Natl Formosa Univ Dept Power Mech Engn Yunlin Taiwan Univ Muhammadiyah Malang Dept Mech Engn Malang Indonesia

ISBN: (数字)9783031744853

ISBN: (纸本)9783031744846;9783031744853

This study focuses on the significant transformation that has occurred in the industrial production of PCD (polycrystalline diamond) tools, which were traditionally manufactured using grinding processes on milling machines. In recent years, with the advancement in laser processing applications and the increased reliability of laser control, the industry has undergone amajor shift. Micro PCD tools, made of polycrystalline diamond material, require extremely high stability and are time-consuming to manufacture using grinding processes. However, with the transition to laser manufacturing, not only has production efficiency greatly improved, but precision has also been enhanced to a finer degree. In this research, PCD micro-drills were fabricated using EWAG line-ultra laser technology, and their accuracy was evaluated by comparing the design parameters with those obtained post-fabrication using the Keyence VR-6000. Our investigation revealed minimal differences in the produced PCD micro-drills, amounting to only 0.3%. These findings have crucial implications for future advancements in manufacturing processes. Furthermore, we anticipate that this research will not only benefit similar processes but also foster more efficient development and research across various industries.

关键词： Polycrystalline Diamond Material Line-Ultra Laser Micro Drill Fabrication

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Analysis of Bending-Torsion Coupling Vibration of a Rotating Cantilever Blade 10th

Analysis of Bending-Torsion Coupling Vibration of a Rotating...

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10th International Conference on Design and Modeling of mechanical Systems (CMSM)

作者： Hamdi, Hedi Univ Gabes Natl Engn Sch Gabes Mech Modeling Energy & Mat M2EM Lab Gabes 6029 Tunisia

ISBN: (纸本)9783031671517;9783031671524

In this paper, we analyzed the coupled bending and torsional vibration of a rotating cantilever blade using the new finite element method for beams FEMB. In this method, the Timoshenko beam theory and the finite element method FEM are combined to have a more compact and accurate analytical model. Also, the six degrees of freedom DOFs of the beam element motion are considered by applying the three Euler angles sequence. Indeed, this method has the advantage of showing the centrifugal and gyroscopic coupling terms in the governing equations. The studied blade is made of aluminum alloy and is modeled by a rectangular, twisted and tapered beam. The numerical simulation of its dynamic response to a step-bending load shows rapid and persistent torsion beating that can cause premature material fatigue. Because undamped material of the blade the natural frequencies are not influenced by the gyroscopic effect. However, they are weakly affected by the centrifugal stiffness.

关键词： Rotating Blade Bending Vibration Torsion Vibration Gyroscopic Coupling

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Enhancing the Performance of Latent Heat Thermal Energy Storage using Different Configurations and Designs of Heat Transfer Pipes 14th

Enhancing the Performance of Latent Heat Thermal Energy Stor...

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14th International Conference on Computational Heat and Mass Transfer (ICCHMT)

作者： Ali, Abdullah Masoud Bagdanavicius, Audrius Univ Leicester Sch Engn Leicester LE1 7RH Leics England

ISBN: (纸本)9783031672408;9783031672415

The modification of the geometric configurations of heat transfer pipes in Latent Heat Thermal Energy Storage (LHTES) systems not only enhances the melting process of the Phase Change Material (PCM), but also improves the overall performance of these systems. The current research aims to investigate various configurations of heat transfer pipes with external fins and internal tapes. Eight different geometric configurations are modeled in the LHTES system: (a) base case - straight pipe, (b) pipe with horizontal fins, (c) pipe with vertical fins, (d) pipe with wavy fins, (e) pipe with horizontal internal tape, (f) pipe with internal vertical tape, (g) pipe with twisted tape, (h) pipe with external wavy fins and with internal twisted tape. The results show that between 0 and 29 minutes, the pipe configuration with wavy fins with twisted tape consistently exhibits the fastest melting process. Beyond 29 minutes, the configuration with vertical fins case demonstrates a slightly faster melting process than the case where wavy fins with twisted tape are used. The internal tapes also contribute to accelerated melting, though to a lesser extent than the configuration with fins. The appealing attributes of these configurations make them ideal for crafting efficient energy storage systems.

关键词： Latent heat thermal energy storage Phase change material Wavy fins Twisted tape Simulation Efficiency

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