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

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Elucidation of Fatigue Fracture Mechanism on Glass-Fiber-Reinforced-Plastics 3rd

Elucidation of Fatigue Fracture Mechanism on Glass-Fiber-Rei...

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3rd International Conference on Advanced Surface Enhancement (INCASE)

作者： Arakawa, J. Sakai, M. Hayashi, M. Akebono, H. Sugeta, A. Ohshita, J. Tanizawa, H. Shimizu, K. Ogawa, J. Okayama Univ Okayama Shi 3-1-1 TsushimanakaKita Ku Okayama 7008530 Japan Hiroshima Univ 1-4-1 Kagamiyama Higashihiroshima Hiroshima 7398527 Japan Digital Monozukuri Mfg Educ & Res Ctr 3-10-32 Kagamiyama Higashihiroshima 7390046 Japan Mazda Motor Corp 3-1 Shinchi Fuchu Hiroshima 7308670 Japan

ISBN: (纸本)9789819986422;9789819986439

In this study, it was elucidated that the fatigue failure mechanism of glass-fiber reinforced plastics (GFRP) with different fiber orientations, and the relationship between the fiber orientation and the failure mechanism by using a simple unidirectional fiber orientation. Fatigue tests exhibited that GFRP, whose glass fiber oriented parallel to the load direction showed high fatigue strength. Furthermore, as a result of observing the fatigue fracture, in the case of GFRP containing fibers oriented parallel to the loading direction, fatigue cracks occur at the fiber edges, propagated through between the glass fibers and the matrix. After that, the fatigue crack propagation rate gradually decreases, the fatigue crack growth stopped, and finally, GFRP material was statically fractured. Therefore, this suggests that the increase in fiber length of fibers oriented parallel to the loading direction extends the fatigue crack propagation life, leading to an increase in total fatigue life.

关键词： GFRP Fatigue crack propagation Matrix-fiber interface Shear lag model

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Seasonal and Spatial Variation of Water Quality Parameters of Mula-Mutha River, Pune, India 23rd

Seasonal and Spatial Variation of Water Quality Parameters o...

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Vyas, Jitesh N. Deogade, R. B. Nath, Supriya Kumar, Dudekula Nikhil Cent Water & Power Res Stn Pune 411024 India

ISBN: (纸本)9789819760084;9789819760091

River pollution has been the major concern around the world as rivers have served as the centre of development of civilisation. With increasing population, industrialisation and expansion of urban areas, rivers got degraded which has affected agriculture, human health and biodiversity adversely. Mula-Mutha River is an important river of Maharashtra which provides water to Pune city. Physicochemical analysis of various parameters helps in determining water quality of any water stream. In this study, sampling was carried out at 8 sampling sites from Khadakwasla to Daund to analyse different physicochemical parameters like pH, electrical conductivity (EC), dissolved oxygen, biochemical oxygen demand (BOD), chemical oxygen demand (COD), temperature, turbidity, etc., to determine the water quality at these locations during 2018-20. In this paper it has been discussed how variation of season and locations determine the water quality and the factors which are influencing it. It has been found that water quality at most of the stations showed better quality during post-monsoon season compared to pre-monsoon season.

关键词： Physicochemical analysis Biochemical oxygen demand Human health Turbidity

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Making Flow in Machining and Non-machining Processes with Leveling and Small Lot Sizing: A Kaizen Case Study 32nd

Making Flow in Machining and Non-machining Processes with Le...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Kwan, Kei Wai Chan, Siu Hang Godwin Chiang, Cheng-Chi Wang, Yi-Chi Feng Chia Univ Taichung Taiwan

ISBN: (纸本)9783031381645;9783031381652

This paper presents a kaizen case study that aims to create a smooth flow in both machining and non-machining processes, while addressing the inventory problem that arises in these processes. To accomplish this, we developed a model that analyzes the production requirements of various products in the machining process and the cleaning process of machined parts in the non-machining process. The machining and set-up times for each product differ depending on the CNC machine types used, and set-up labor resources are required whenever a machine switches to produce a different product. Meanwhile, the non-machining process involves cleaning batches of machined parts before they are delivered. In this study, we focus on creating an optimal flow between these two processes by considering different batch sizes and their impact on overall inventory. Our results demonstrate that by implementing a leveling and small lot sizing strategy, we can achieve a more efficient and streamlined production process that reduces inventory levels and improves productivity.

关键词： Inventory machining processes non-machining processes batch size

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YOLOgraphy: Image Processing Based Vehicle Position Recognition 16th

YOLOgraphy: Image Processing Based Vehicle Position Recognit...

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16th International Symposium on Advanced Vehicle Control

作者： Kopeczi-Bocz, Akos T. Mi, Tian Orosz, Gabor Takacs, Denes Budapest Univ Technol & Econ Dept Appl Mech H-1111 Budapest Hungary Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA Univ Michigan Dept Civil & Environm Engn Ann Arbor MI 48109 USA Budapest Univ Technol & Econ HUN REN BME Dynam Machines Res Grp H-1111 Budapest Hungary

ISBN: (纸本)9783031703942;9783031703928;9783031703911

A methodology is developed to extract vehicle kinematic information from roadside cameras at an intersection using deep learning. The ground truth data of top view bounding boxes are collected with the help of unmanned aerial vehicles (UAVs). These top view bounding boxes containing vehicle position, size, and orientation information, are converted to the roadside view bounding boxes using homography transformation. The ground truth data and the roadside view images are used to train a modified YOLOv5 neural network, and thus, to learn the homography transformation matrix. The output of the neural network is the vehicle kinematic information, and it can be visualized in both the top view and the roadside view. In our algorithm, the top view images are only used in training, and once the neural network is trained, only the roadside cameras are needed to extract the kinematic information.

关键词： Image processing Vehicle dynamics Machine learning

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On Bringing Fault Detection to Skill-Based Production 1st

On Bringing Fault Detection to Skill-Based Production

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1st European Symposium on Artificial Intelligence in Manufacturing (ESAIM)

作者： Ruebel, Pascal Motsch, William Schaefer, Hendrik Ruskowski, Martin German Res Ctr Artificial Intelligence DFKI Kaiserslautern Germany Technol Initiat SmartFactory KL eV Kaiserslautern Germany

ISBN: (纸本)9783031574955;9783031574962

In the context of Industrie 4.0, modular and skill-based production enables the manufacturing of small batch sizes. This leads to increased complexity of dynamic manufacturing contexts due to more constellations of cyber-physical production modules, skills, and products. However, even existing approaches aiming to enhance efficient and resilient production, fault detection applications, usually requiring big amounts of data or knowledge, remains mainly unnoticed. Against this background, it is the objective of this paper to develop a model that extends skill-based production by means of incorporating automated fault detection. This includes the identification of required fault detection components as well as its integration into the process control for executing skills. Hence, to achieve this objective, state-of-the-art approaches of fault detection are adapted and integrated into the skill model. Finally, the elaborated model is prototypically implemented in a realistic demonstration environment to come up with a proof of concept. Since it is difficult to directly model faulty behavior of Cyber-Physical Production Modules in flexible production their nominal behavior during the execution of skills is modelled and compared with its actual behavior. Based on deviations and defined thresholds symptoms are generated. The developed components are synchronized with their skill execution.

关键词： skill-based production fault detection flexible manufacturing modular production

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Improvement of the Wear Resistance of AISI4140 Steel by Duplex Treatment Combining Gas Nitriding and Physical Vapor Deposition 10th

Improvement of the Wear Resistance of AISI4140 Steel by Dupl...

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

作者： Ghanem, Abdelkarim Toumi, Siwar Terres, Mohamed Ali Univ Tunis UT Natl Higher Sch Engineers Tunis Mech Mat & Proc Lab LR99ES05 LMMP ENSIT 5 Ave Taha Hussein Tunis 1008 Tunisia Univ Sousse High Inst Sci & Appl Technol Sousse ISSATSo Cite EttafallahAve Ibn Khaldoun Sousse 4003 Tunisia Higher Inst Technol Studies Rades BP 176 Rades Medina Rades 2098 Tunisia

ISBN: (纸本)9783031650062;9783031650079

Previous studies have noted that gas nitriding and physical vapor deposition coating (PVD) considerably affect the wear resistance, friction coefficient and microstructure of AISI 4140 steel. This work studies the impact of gas nitriding and coating treatment (physical vapor deposition) on the wear resistance, friction coefficient and microhardness of this steel. The microhardness of the nitrided and PVD-coated layer increased with increasing nitrogen concentration, reaching approximately 1750 HV0.05 at a processing temperature of 525 degrees C and an ammonia content of 35%. Optical microscopy was used to study the structural properties of the nitrided layers. Furthermore, the presence of nitrogen and the TiN coating had a significant influence on the scratch resistance for a single pass, with a critical load (LC1) of approximately (5 N). Multi-pass scratching tests were used to study the wear volume, degradation process and friction coefficient. Furthermore, the multi-pass scratch method was used to obtain valuable data on the mechanical behavior and damage of the layer following duplex treatment, by combining gas nitriding and coating (PVD).

关键词： AISI 4140 Single scratch Gaseous Nitriding PVD coating multi-pass scratch

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Lean Manufacturing vs Coaching Alliance in Engagement Promotion: An Employee Suggestion System Prototype 32nd

Lean Manufacturing vs Coaching Alliance in Engagement Promot...

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32nd International Conference on Flexible Automation and Intelligent Manufacturing

作者： Salvadorinho, Juliana Bastos, Tiago Pintor, Paulo Teixeira, Leonor Univ Aveiro Dept Econ Management Ind Engn & Tourism DEGEIT Aveiro Portugal Univ Aveiro Dept Elect Telecommun & Informat DETI Aveiro Portugal Univ Aveiro Inst Elect & Informat Engn Aveiro IEETA Intelligent Syst Associate Lab LASI Aveiro Portugal

ISBN: (纸本)9783031381645;9783031381652

Industry 4.0 is being pushed by Industry 5.0 to put the human factor at the centre of technological innovation by fostering engagement practices, namely through participatory design and communication and knowledge sharing. Kaizen Teian, or suggestion systems, are tools that empower employees with voice behaviour, giving them the possibility to foster innovation in the organisation by fostering in them this feeling of involvement and/or belonging. This paper brings a prototype of a suggestion system, co-created with employees from three multi-sector companies that integrates the PDCA cycle with the Disney strategy, a Neuro-linguistic Programming technique used in Coaching. The Disney strategy aims at supporting innovation through a process for the realisation of ideas, giving them a mature character. This system fosters two of the predictors of work engagement, which are participative design and knowledge sharing, and brings transparency to suggestions, enabling the employee to monitor them. The promotion of sustainable innovation through the Disney strategy, the improvement of labour engagement and the sharing of knowledge, are all enhancing factors of organisational competitive advantage, not only by retaining the workforce, but also by preserving organisational knowledge. This is a digital tool adapted to the current challenging technological context, where Lean must be preserved and coaching tools applied.

关键词： Workforce Engagement Industry 4.0 Lean Manufacturing

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Estimation of Energy Transmission to Workpiece in Wire Electrical Discharge Machining Process 14th

Estimation of Energy Transmission to Workpiece in Wire Elect...

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

作者： Sathavara, Parth Kumar, Mridul Desai, Akshat Parwani, Ajit Kumar Chaudhuri, Paritosh Inst Infrastruct Technol Res & Management Dept Mech & Aerosp Engn Ahmadabad 380026 Gujarat India Inst Plasma Res Gandhinagar 382428 India Homi Bhabha Natl Inst HBNI Training Sch Complex Mumbai 400094 Maharashtra India

ISBN: (纸本)9783031672408;9783031672415

Determining the fraction of the thermal energy transferred to the workpiece (fc) in a wire electrical discharge machining (WEDM) holds great significance. This is crucial for numerical modelling, as it allows to anticipate material removal mechanisms and thermal behaviour. In this study, the two metaphor-less Rao algorithms are modified to solve the inverse problem to estimate fc during the WEDM process. They are compared in terms of accuracy and convergence speed. The Rao-1 algorithm demonstrates a high accuracy and a fast convergence rate. Further to evaluate the applicability of the Rao-1 algorithm, two cases were examined: (1) a numerical experiment with simulated temperature and (2) a real-time experiment with temperature data obtained during the WEDM process. In the WEDM process heat energy is transferred to the workpiece from the wire which acts as a line heat source. The estimation of fc is accomplished by solving a two-dimensional inverse problem with a line heat source. Estimation does not need knowledge of the functional form of the line heat source. Real-time experiments have demonstrated that, under the specified machining parameters, 8.25% of the total energy is transferred to the workpiece.

关键词： Fraction of the thermal energy Wire electrical discharge machining Rao algorithm Inverse problem Line heat source

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Conditions of Remote Work to Ensure Mobility in Project Activity 1

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8th International Scientific-Technical Conference (MANUFACTURING)

作者： Polyanska, Alla Pazynich, Yuliya Poplavska, Zhanna Kashchenko, Yuri Psiuk, Vladyslaw Martynets, Volodymyr AGH Univ Krakow Fac Management Krakow Poland Dnipro Univ Technol Dnipro Ukraine Lviv Polytech Natl Univ Lvov Ukraine Ivano Frankivsk Natl Tech Univ Oil & Gas Ivano Frankivsk Ukraine

ISBN: (数字)9783031564741

ISBN: (纸本)9783031564765;9783031564741

The article examines the prerequisites for establishing favor conditions for remote work, its advantages, and disadvantages in the context of project activities. The share of employees who work remotely, as well as their level of satisfaction with this format of work, was determined. The purpose of the article is to study the individual and systemic factors of remote work in the context of mobility to determine the conditions for improving the quality of project activity. Based on the content analysis, it was concluded that quality remote work requires considering two factors: creating a suitable workplace and working environment. To substantiate these hypotheses, a situational analysis of remote work was conducted. A survey of international projects participants working in the field of business as well as educational, scientific and project activities was conducted. The results of the survey identified a group of factors that determine the quality of remote work in project activity, including the ability to make independent decisions, work experience, the amount of work performed remotely, and the desire to improve relevant skills. Considering the results of the survey on the advantages and disadvantages of remote work, a balancing method was proposed. It is based on considering the disadvantages of remote work identified by respondents and provides for the implementation of corrective measures based on considering the advantages that respondents consider useful to overcome the disadvantages of remote work, due to the improvement of communication technologies. The value of the obtained results is the generalization that each organization as well as the project team can use the existing potential for the organization of remote work, creating appropriate conditions for the organization of the workplace as well as work environment and proper communications.

关键词： remote work workplace working environment mobility project activity communication management

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Coastal Morphological Changes Due to the Nivar Cyclone on the East Coast of India 23rd

Coastal Morphological Changes Due to the Nivar Cyclone on th...

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2022 International Association for Hydraulic Environmental engineering and Research Asia Pacific Division

作者： Mary, R. Gracy Margret Sannasiraj, S. A. Sundar, V Raju, D. Kumaran Indian Inst Technol Madras Chennai Tamil Nadu India Natl Technol Ctr Ports Waterways & Coasts Chennai Tamil Nadu India

ISBN: (纸本)9789819760084;9789819760091

Shoreline and beach profiles are the primary factors to quantify changes along the coast which in turn are governed by rising sea level, changes in wave characteristics, littoral drift, and the presence of coastal structures. Morphological models are helpful tools to predict such impacts. A very severe cyclonic storm Nivar made its landfall off the coast of Tamil Nadu in the early hours of the November 26, 2020 [17]. The cyclone brought about a maximum of 246 mm. The SWAN wave propagation model and the XBeach morphodynamics model are used to analyze the coastal morphodynamics during the pre and post-cyclonic periods. The SWAN model describes the propagation of waves from offshore to the surf zone by solving the spectral action balance equation. The morphological variations in the littoral zone are strongly connected with the forcing mechanisms that act on the shore, among which the wave action is the foremost factor. The bed level change is calculated from the beach dune up to 6 m water depth from the numerical model. The initial profile (November 20) considered for the pre-cyclonic results was estimated using XBeach with spectral boundary conditions as an input from the SWAN model. The model is validated with the field-collected near-shore bathymetry data. The results are discussed briefly based on the bed level, sediment movement, and the morphological changes due to the impact of the Nivar Cyclone.

关键词： Beach profile Morphology Shoreline Bed level Cyclone

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