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Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes

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Table of Contents

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    Book Overview
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    Chapter 1 Discrete Filter and Non-Gaussian Noise for Fast Roughness Simulations with Gaussian Processes
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    Chapter 2 Phase Field Simulations for Fatigue Failure Prediction in Manufacturing Processes
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    Chapter 3 Embedding-Space Explanations of Learned Mixture Behavior
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    Chapter 4 Insight into Indentation Processes of Ni-Graphene Nanocomposites by Molecular Dynamics Simulation
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    Chapter 5 Physical Modeling of Grinding Forces
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    Chapter 6 Modeling and Implementation of a 5G-Enabled Digital Twin of a Machine Tool Based on Physics Simulation
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    Chapter 7 A Human-Centered Framework for Scalable Extended Reality Spaces
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    Chapter 8 A Holistic Framework for Factory Planning Using Reinforcement Learning
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    Chapter 9 Simulation-Based Investigation of the Distortion of Milled Thin-Walled Aluminum Structural Parts Due to Residual Stresses
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    Chapter 10 Prediction of Thermodynamic Properties of Fluids at Extreme Conditions: Assessment of the Consistency of Molecular-Based Models
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    Chapter 11 A Methodology for Developing a Model for Energy Prediction in Additive Manufacturing Exemplified by High-Speed Laser Directed Energy Deposition
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    Chapter 12 Framework to Improve the Energy Performance During Design for Additive Manufacturing
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    Chapter 13 Investigation of Micro Grinding via Kinematic Simulations
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    Chapter 14 Molecular Dynamics Simulation of Cutting Processes: The Influence of Cutting Fluids at the Atomistic Scale
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    Chapter 15 Visual Analysis and Anomaly Detection of Material Flow in Manufacturing
Attention for Chapter 14: Molecular Dynamics Simulation of Cutting Processes: The Influence of Cutting Fluids at the Atomistic Scale
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Chapter title
Molecular Dynamics Simulation of Cutting Processes: The Influence of Cutting Fluids at the Atomistic Scale
Chapter number 14
Book title
Proceedings of the 3rd Conference on Physical Modeling for Virtual Manufacturing Systems and Processes
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-35779-4_14
Book ISBNs
978-3-03-135778-7, 978-3-03-135779-4
Authors

Schmitt, S., Stephan, S., Kirsch, B., Aurich, J. C., Urbassek, H. M., Hasse, H.