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

共 6719 条记录，以下是81-90 订阅

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A Method for Determining the Forces and Friction Coefficient on the Back Surface of Cutting Tools and Their Dependence on Machining Conditions 6th

A Method for Determining the Forces and Friction Coefficient...

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6th Grabchenko's International Conference on Advanced Manufacturing Processes

作者： Mazur, Mykola Mylko, Volodymyr Khmelnytskyi Natl Univ 11 Inst St UA-29016 Khmelnytskyi Ukraine

ISBN: (纸本)9783031827488;9783031827464;9783031827457

The paper considers the problem of determining the forces and friction coefficient on the back surface of the cutting tool, the variable nature of which at each point of contact does not allow it to be used for modeling processes in the cutting zone. The paper offers an experimental express method that allows you to determine the cutting force and friction coefficient behind the cutting tools' back surfaces. The equipment, the installation, and its main requirements are described to ensure the practical implementation of the proposed method of determining the forces and coefficient of friction. It is shown that the proposed method correlates well with other previously known methods. The dependences of the change of the coefficient of friction on the back surface of the cutting tool with coatings and without coatings were obtained. The effect of the lubricating and cooling liquid on the change in the coefficient of friction on the rear surface was investigated.

关键词： Cutting Process Coated Cutting Tool Cutting Zone Lubricating Fluid Cooling Fluid

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Development and Substantiation of Proposals for Modernization of Plate Rolling Mill 6th

Development and Substantiation of Proposals for Modernizatio...

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6th Grabchenko's International Conference on Advanced Manufacturing Processes

作者： Kurpe, Oleksandr Kukhar, Volodymyr Metinvest Engn LLC 51 Kniazia Yaroslava Mudroho St UA-49000 Dnipro Ukraine Tech Univ Metinvest Polytech LLC 80 Pivdenne Highway UA-69008 Zaporizhzhia Ukraine

ISBN: (纸本)9783031827488;9783031827464;9783031827457

The modernization options for the heavy plate rolling mill of one of the Italian metallurgical enterprises are considered the necessity to expand the assortment of new sizes of hot-rolled plates steel grades with high mechanical properties and, of course, to produce high-quality products with reduced operating costs. The target parameters for the product mix of the plate rolling mill after modernization are the thickness range of 5.0-150.0 mm for steel grades up to S900MC according to EN 10149-2. This work compares the technical parameters of an actual rolling mill and two modernization options: option 1 is a two-high rolling mill with increased working roll diameters;option 2 is a four-high rolling mill. Both options consider that the weight of work rolls and backup rolls with chocks will not exceed the existing crane load capacity of 80 t. When comparing option 1 and option 2, option 2 is preferable because it enables the production of low-thickness products of reference steel grade S900MC with fewer passes and assures more engineering strain. Option 2 for the rolling mill parameters provides more yearly capacity with lower electricity consumption. The efficiency of using a rolling mill with option 2 parameters is 37.8% higher than option 1 and 62.1% higher than the available rolling mill. As a result of the comparison calculation, it is obvious that a more efficient layout conception is one with four high rolling mill parameters of Option 2.

关键词： Four-High Rolling Mill Hot Rolled Plate Assortment Expansion Rolling Mill Efficiency Rolling Schedule Roll Diameter

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Agent-Based Communication for Fault Diagnosis in Skill-Based Production Environments Using Messages Based on I4.0 Language and Asset Administration Shells 2nd

Agent-Based Communication for Fault Diagnosis in Skill-Based...

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2nd European Symposium on Artificial Intelligence in Manufacturing-ESAIM

作者： Ruebel, Pascal Motsch, William Bernhard, Alexis Jungbluth, Simon Ruskowski, Martin Technol Initiat SmartFactory KL Kaiserslautern Germany German Res Ctr Artificial Intelligence DFKI Kaiserslautern Germany

ISBN: (纸本)9783031864919;9783031864896;9783031864889

Small batch sizes and individualized products are managed with the concept of Cyber-Physical Production Systems (CPPS), enabling flexibility through interchangeable constellations, but increases complexity, especially when dealing with dependencies between decentralized subsystems. To increase the resilience and self-healing capabilities, greater automation of fault detection and diagnosis (FDD) is a key factor. It is a challenge to gather knowledge about faults, as these rarely occur compared to normal behavior. The flexibility in skill-based production systems makes this situation even more difficult. To overcome this challenge, data and knowledge about faults and their context from several Cyber-Physical Production Modules is used, which leads to federated knowledge databases. The knowledge databases are modeled in the Capability-Skill-Service-Fault-Symptom model (CSSFS model). To achieve the goal of high availability, resilience and autonomy of CPPS, automated decision-making for FDD using CSSFS applications is required. Therefore, automatic communication between FDD components is necessary. Therefore, focus of this paper is on the development of a communication scheme, which models participants using Asset Administration Shells and the I4.0 Language to model their interactions to enable automated communication and makes distributed knowledge accessible. To ensure decentralized control of these services, functionalities from several factory levels are encapsulated by Multi-Agent Systems (MAS) that follow a holonic structure.

关键词： Fault Diagnosis Holonic Manufacturing Systems I4.0 Language Asset Administration Shell

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Ergonomic Risk and Discomfort Assessment of Hairdressers' Tasks: The Case of Shampoo Assistant Job 4th

Ergonomic Risk and Discomfort Assessment of Hairdressers' Ta...

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4th International Conference of the Italian Association of Design Methods and Tools for Industrial engineering

作者： Califano, Rosaria Naddeo, Alessandro Univ Salerno Dept Ind Engn Via Giovanni Paolo 2 132 I-84084 Fisciano SA Italy

ISBN: (纸本)9783031765933;9783031765940

Hairdressers are exposed to various work-related risk factors due to prolonged awkward postures with repetitive movements. Although this problem is well documented in scientific literature, not much has been done to reduce and/or contain this problem. Therefore, the aim of this study is to contribute for this gap through the suggestion of guidelines or workplace modifications, to reduce MSD for hairdressers, during the shampoo task. The job-tasks of 25 shampoo assistants have been analysed regarding ergonomic risks and perceived discomfort. Shampoo assistants' postures were recorded and processed using Kinovea (R) software. To evaluate the ergonomic risk level, the RULA method was used, and an adhoc questionnaire was created to acquire Perceived Discomfort data. The analysis was supported by DELMIA (R) V5R16 software. Results showed that the neck and the back were the most critical body parts in terms of discomfort and ergonomic risk. Statistical analysis demonstrated a strong correlation between the body-size percentile and discomfort. As the percentile increased, the perceived overall discomfort increased. Based on the results, a virtual ergonomic-driven redesign was carried out. The solution was tested in DELMIA (R) and the recalculated RULA scores showed a decrease, highlighting a good improvement.

关键词： Hairdresser Shampoo Ergonomics Assessment discomfort WMSD

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A Methodological Approach for the Evaluation of Deformations in Additively Manufactured Lattice Structures 4th

A Methodological Approach for the Evaluation of Deformations...

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4th International Conference of the Italian Association of Design Methods and Tools for Industrial engineering

作者： Maltauro, Mattia Grigolato, Luca Elsayed, Hamada Dal Fabbro, Pierandrea Meneghello, Roberto Concheri, Gianmaria Savio, Gianpaolo Univ Padua Dept Civil Environm & Architectural Engn Lab Design Methods & Tools Ind Engn Via Venezia 1 I-35131 Padua Italy Univ Padua Dept Ind Engn Via Marzolo 9 I-35131 Padua Italy Univ Padua Dept Management & Engn Stradella San Nicola 3 I-36100 Vicenza Italy

ISBN: (纸本)9783031765933;9783031765940

Additive manufacturing components are prone to defects, including warping and cracking, which can significantly impact their mechanical performance. Determining deformations in lattice structures remains challenging. This paper presents a methodological framework for computing deformation matrices in additively manufactured lattice samples using 3D scanning. The sample's geometry is acquired through 3D scanning, registered to a reference model, and vertices are determined and used for computing deformation metrics, including volumetric scaling factors, isovolumetric scaling, and angular deformations. A sensitivity analysis comparing four association criteria demonstrates the reliability of the Gaussian Best Fit Plane External. Assessing deformation in lattice structures can be useful for optimizing printing parameters and compensating for process-induced deformations. Future work will extend this methodology to evaluate deformations during post-processing and develop mesh morphing strategies for generating printing geometries.

关键词： Lattice Structures Additive Manufacturing Deformations 3D scanners

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Enhancing Tire Wear Evaluation: A Novel Approach to Analyse Tread Geometry Evolution 4th

Enhancing Tire Wear Evaluation: A Novel Approach to Analyse ...

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4th International Conference of the Italian Association of Design Methods and Tools for Industrial engineering

作者： Pietroni, Gabriele Rossoni, Marco Colombo, Giorgio Politecn Milan Via Masa 1 I-20156 Milan Italy

ISBN: (纸本)9783031765933;9783031765940

Tread geometry is one of the parameters that influence wear. Hence, investigating tread geometries and their evolution during tire usage becomes crucial for mitigating wear-related emissions. Among the state-of-the-art measurement methods, 3D scanning is notable for its ability to provide detailed insights into tread geometry. This study introduces a methodology for analysing the evolution of tire tread geometry, aiming to improve tire wear analysis. The proposed approach based on first derivative analysis and discrete data binning, was tested exploiting a benchmark tire generated virtually in a CAD software and sampling a point cloud on its surface, resembling 3D scanning acquisition. The results show its capability of leveraging 3D scanning technology to provide detailed insights into tread geometry by isolating sampled points located within grooves from those belonging to the outermost surface. The recognition of geometric features allows for the separate analysis of the different layers, extending the capability of average profile-based wear assessments to complex tread patterns, such as directional tires. Furthermore, it enables local analysis of tread geometry changes, facilitating the study of geometry evolution throughout the tire's lifespan.

关键词： Tire wear Tread geometry evolution Tire 3D scanning

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Calculation and Study of the Stress State of the Antifriction Coating Applied to the Working Surface of the Car Cylinder Liner 6th

Calculation and Study of the Stress State of the Antifrictio...

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6th Grabchenko's International Conference on Advanced Manufacturing Processes

作者： Shepelenko, Ihor Nemyrovskyi, Yakiv Krasota, Mykhailo Mahopets, Sergii Vasylenko, Ivan Cent Ukrainian Natl Tech Univ 7Univ Ave UA-25006 Kropyvnytskyi Ukraine Zhytomyr Polytech State Univ Chudnivska St UA-10005 Zhytomyr Ukraine

ISBN: (纸本)9783031827488;9783031827464;9783031827457

The research identifies the main stress state changes in the contact zone of an internal combustion engine's cylinder liner, whose working surface is coated with an antifriction layer. The research methodology involves developing analytical dependencies to determine stress tensors in the contact zone of the cylinder liner's working surface. Equations have been derived to calculate the stress state of a cylinder liner with an antifriction coating, which has elastic properties different from those of a cast-iron liner. The occurrence of stress concentration peaks at the contact boundaries between the "cylinder liner - piston ring" and the antifriction coating of the liner's working surface was established. Calculations of the liner surface's stress state, subjected to tangential friction stresses in the contact zone, were conducted to analyze the causes of these stress concentration peaks. This analysis revealed that contact friction forces lead to stress peaks at various boundaries of the contact areas. To enhance the durability of antifriction coatings, it is proposed to increase the length of the contact area and reduce friction forces between the rings and the liner, which can be achieved by selecting the appropriate antifriction coating material.

关键词： Protective Coating Finishing Antifriction Non-Abrasive Treatment Compressive Stresses Analytical Dependencies Contact Zone

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Generalized Authoring Tool for Computer Vision Machine Learning Application Deployments 2nd

Generalized Authoring Tool for Computer Vision Machine Learn...

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2nd European Symposium on Artificial Intelligence in Manufacturing-ESAIM

作者： Stein, Peter Antony, Jibinraj Bergweiler, Simon Schorr, Christian Univ Appl Sci Kaiserslautern Amerikastr 1 D-66482 Kaiserslautern Germany German Res Ctr Artificial Intelligence DFKI Trippstadter Str 122 D-67663 Kaiserslautern Germany German Res Ctr Artificial Intelligence DFKI Campus 32 D-66123 Saarbrucken Germany

ISBN: (纸本)9783031864919;9783031864896;9783031864889

Automated authoring enables simplified deployment of applications and services for complex use cases, especially in the field of machine learning. This paper presents the development and implementation of a specialized authoring tool that can be used for computer vision applications, enabling automated creation of machine learning services. The proposed authoring tool realizes a microservices architecture to facilitate the conversion and deployment of machine learning inference services, especially in image classification and object detection use cases. The authoring process addresses the interoperability issues commonly faced in machine learning frameworks, leveraging the Open Neural Network Exchange (ONNX) for model conversion into a standardized format. By encapsulating machine learning tools in containerized applications, this authoring tool offers a modular solution that can be easily adapted to various industrial applications. The developed authoring tool integrates the common machine learning frameworks PyTorch and TensorFlow, coupling DevOps methodologies such as CI/CD, ensuring a robust, maintainable, and user-friendly system that meets the growing needs of machine learning use cases in manufacturing.

关键词： Machine Learning Computer Vision Containerization Microservices ONNX PyTorch TensorFlow ML Authoring ML Life cycle

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Enhancing Product Lifecycle Efficiency: Harnessing Natural Language Processing for Materials Insight and Optimization 2nd

Enhancing Product Lifecycle Efficiency: Harnessing Natural L...

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2nd European Symposium on Artificial Intelligence in Manufacturing-ESAIM

作者： Perez Counago, Ines Suarez Casabiell, Lara Gregores-Coto, Andrea Eike Precker, Christian Muinos-Landin, Santiago AIMEN Technol Ctr C Relva 27 A Torneiros O Porrino 36410 Pontevedra Spain

ISBN: (纸本)9783031864919;9783031864896;9783031864889

Materials play a pivotal role in manufacturing, serving as the foundation upon which the functionality and overall quality of products are built. In the material science domain, an overwhelming amount of knowledge is generated and stored as text encoding a humongous amount of information related to materials performance along the product life cycle that results fundamental in the manufacturing landscape, addressing adaptability and circularity. This study explores the application of Natural Language Processing techniques to analyze data availability, with a specific focus on the domain of polyvinyl chloride materials across the chemical, environmental, health, social and economic dimensions. While acknowledging the expanse of available academic data, this research also ventures into exploring vast web platforms, not often emphasized in the existing literature. Latent Dirichlet Allocation is employed to autonomously extract interconnected topics from textual data, providing a flexible tool to structure multifaceted datasets. Furthermore, its integration with question-and-answer schemes, powered by Large Language Models, represents a step forward in comprehensive data mapping. This combination aids in expediting the extraction of relevant information while contributing to the creation of a structured database where all relevant information pertaining to a particular topic is organized, identifying specific missing data or noncorrelated information. This approach promises to contribute to the evolution of data analysis methodologies, offering insights into the data landscapes of material science with impact in the current manufacturing scenario.

关键词： materials natural language processing product lifecycle sustainability

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Investigation on the Results Scalability of Towing Tank Tests Performed on a Planing Air Cavity Ship 4th

Investigation on the Results Scalability of Towing Tank Test...

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4th International Conference of the Italian Association of Design Methods and Tools for Industrial engineering

作者： Chillemi, Massimiliano Cucinotta, Filippo Sfravara, Felice Univ Messina Dept Engn C Dio S Agata I-98166 Messina Italy

ISBN: (纸本)9783031765964;9783031765971

Towing tank tests are useful for evaluating the performance of hulls. One limitation of these tests is that large hulls cannot be tested at a 1:1 scale. However, although the tests are conducted on scaled models, the results can be scaled using ITTC (International Towing Tank Conference) procedures to provide a prediction of the full-scale model behaviour. Full-scale models, on the other hand, can be directly tested using CFD (Computational Fluid Dynamics) simulations, which do not have size limitations. In the present study, an ACS (Air Cavity Ship) hull model was tested in a 1:6 scale in a towing tank with and without air injection, with the full-scale results being derived from these tests. A towing tank scale and a full-scale CFD model were created in Simcenter Star-CCM +. The study aims to evaluate the results of the CFD models in terms of hull resistance and to analyse the shape of the air trapped under the hull in both scales.

关键词： ACS CFD Towing Tank

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