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Production at the Leading Edge of Technology

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Cover of 'Production at the Leading Edge of Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Development of a Temperature-Graded Tailored Forming Process for Hybrid Axial Bearing Washers
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    Chapter 2 Study on the Compressibility of TiAl48-2-2 Powder Mixed with Elemental Powders
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    Chapter 3 Concept for In-process Measurement of Residual Stress in AM Processes by Analysis of Structure-Borne Sound
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    Chapter 4 Characterisation and Modelling of Intermetallic Phase Growth of Aluminium and Titanium in a Tailored Forming Process Chain
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    Chapter 5 Model Based Prediction of Force and Roughness Extrema Inherent in Machining of Fibre Reinforced Plastics Using Data Merging
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    Chapter 6 Mechanisms for the Production of Prestressed Fiber-Reinforced Mineral Cast
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    Chapter 7 Development of Thin-Film Sensors for Data Acquisition in Cold Forging Tools
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    Chapter 8 Application of Reinforcement Learning for the Design and Optimization of Pass Schedules in Hot Rolling
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    Chapter 9 Simulation of Hot-Forging Processes with a Temperature−Dependent Viscoplasticity Model
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    Chapter 10 Investigation on Adhesion-Promoting Process Parameters in Steel Bulk Metal Forming
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    Chapter 11 Finite Element Analysis of a Combined Collar Drawing and Thread Forming Process
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    Chapter 12 Monitoring of the Flange Draw-In During Deep Drawing Processes Using a Thin-Film Inductive Sensor
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    Chapter 13 Parameter Investigation for the In-Situ Hybridization Process by Deep Drawing of Dry Fiber-Metal-Laminates
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    Chapter 14 Numerical Analysis of the Deep Drawing Process of Paper Boards at Different Humidities
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    Chapter 15 Numerical and Experimental Failure Analysis of Deep Drawing with Additional Force Transmission
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    Chapter 16 Efficient Digital Product Development Exemplified by a Novel Process-Integrated Joining Technology Based on Hole-Flanging
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    Chapter 17 A Force-Sensitive Mechanical Deep Rolling Tool for Process Monitoring
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    Chapter 18 Optimization of the Calibration Process in Freeform Bending Regarding Robustness and Experimental Effort
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    Chapter 19 Numerical and Experimental Investigations to Increase Cutting Surface Quality by an Optimized Punch Design
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    Chapter 20 Process Design Optimization for Face Hobbing Plunging of Bevel Gears
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    Chapter 21 Experimental Investigation of Friction-Drilled Bushings for Metal-Plastic In-Mold Assembly
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    Chapter 22 Localization of Discharges in Drilling EDM Through Segmented Workpiece Electrodes
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    Chapter 23 Experimental Studies in Deep Hole Drilling of Ti-6Al-4V with Twist Drills
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    Chapter 24 Determination of Largest Possible Cutter Diameter of End Mills for Arbitrarily Shaped 3-Axis Milling Features
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    Chapter 25 Investigation of the Effect of Minimum Quantity Lubrication on the Machining of Wood
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    Chapter 26 Fluid Dynamics and Influence of an Internal Coolant Supply in the Sawing Process
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    Chapter 27 Investigation of the Weld Line of Compression Molded GMT and UD Tape
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    Chapter 28 In-situ Computed Tomography and Transient Dynamic Analysis of a Single-Lap Shear Test with a Composite-Metal Clinch Point
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    Chapter 29 Development of Pressure Sensors Integration Method to Measure Oil Film Pressure for Hydrodynamic Linear Guides
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    Chapter 30 Multivariate Synchronization of NC Process Data Sets Based on Dynamic Time Warping
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    Chapter 31 Investigation of the Process Limits for the Design of a Parameter-Based CAD Forming Tool Model
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    Chapter 32 Embossing Nanostructures
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    Chapter 33 Model-Based Diagnosis of Feed Axes with Contactless Current Sensing
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    Chapter 34 Measurement Setup and Modeling Approach for the Deformation of Robot Bodies During Machining
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    Chapter 35 Determination of Tool and Machine Stiffness Based on Machine Internal and Quality Data
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    Chapter 36 Adaptable Press Foundation Using Magnetorheological Dampers
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    Chapter 37 Implementation of MC-SPG Particle Method in the Simulation of Orthogonal Turning Process
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    Chapter 38 Thermomechanical Multiscale PBF-LB-Process Simulation of Macroscopic Structures to Predict Part Distortion Recoater Collisions
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    Chapter 39 Digitization of the Manufacturing Process Chain of Forming and Joining by Means of Metamodeling
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    Chapter 40 Analysis of Cryogenic Minimum Quantity Lubrication (cMQL) in Micro Deep Hole Drilling of Difficult-to-Cut Materials
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    Chapter 41 Friction Modeling for Structured Learning of Robot Dynamics
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    Chapter 42 Potential of Ultra-High Performance Fiber Reinforced Concrete UHPFRC in Metal Forming Technology
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    Chapter 43 Smart Containers—Enabler for More Sustainability in Food Industries?
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    Chapter 44 Investigation on the Influence of Geometric Parameters on the Dimensional Accuracy of High-Precision Embossed Metallic Bipolar Plates
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    Chapter 45 Investigation of Geometrical and Microstructural Influences on the Mechanical Properties of an Extruded AA7020 Tube
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    Chapter 46 Metallic Plate-Lattice-Structures for a Modular and Lightweight Designed Die Casting Tool
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    Chapter 47 Impact of Data Sampling on Performance and Robustness of Machine Learning Models in Production Engineering
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    Chapter 48 Blockchain Based Approach on Gathering Manufacturing Information Focused on Data Integrity
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    Chapter 49 Utilizing Artificial Intelligence for Virtual Quality Gates in Changeable Production Systems
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    Chapter 50 Analytical Approach for Parameter Identification in Machine Tools Based on Identifiable CNC Reference Runs
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    Chapter 51 Application Areas, Use Cases, and Data Sets for Machine Learning and Artificial Intelligence in Production
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    Chapter 52 Function-Orientated Adaptive Assembly of Micro Gears Based on Machine Learning
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    Chapter 53 Data Mining Suitable Digitization of Production Systems – A Methodological Extension to the DMME
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    Chapter 54 An Implementational Concept of the Autonomous Machine Tool for Small-Batch Production
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    Chapter 55 Benchmarking Control Charts and Machine Learning Methods for Fault Prediction in Manufacturing
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    Chapter 56 Enabling Data-Driven Applications in Manufacturing: An Approach for Broadly Applicable Machine Data Acquisition and Intelligent Parameter Identification
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    Chapter 57 Data-Based Measure Derivation for Business Process Design
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    Chapter 58 Improving a Deep Learning Temperature-Forecasting Model of a 3-Axis Precision Machine with Domain Randomized Thermal Simulation Data
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    Chapter 59 Game-Theoretic Concept for Determining the Price of Time Series Data
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    Chapter 60 Method for a Complexity Analysis of a Copper Ring Forming Process for the Use of Machine Learning
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    Chapter 61 Prediction of Disassembly Parameters for Process Planning Based on Machine Learning
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    Chapter 62 A New Approach to Consider Influencing Factors in the Design of Global Production Networks
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    Chapter 63 Pushing the Frontiers of Personal Manufacturing with Open Source Machine Tools
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    Chapter 64 Aggregated Production Planning for Engineer-To-Order Products Using Reference Curves
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    Chapter 65 Template-Based Production Modules in Plant Engineering
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    Chapter 66 Lean Engineering and Lean Information Management Make Data Flow in Plant Engineering Processes
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    Chapter 67 Sustainable Personnel Development Based on Production Plans
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    Chapter 68 Very Short-Term Electric Load Forecasting with Suitable Resolution Quality – A Study in the Industrial Sector
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    Chapter 69 Approach to Develop a Lightweight Potential Analysis at the Interface Between Product, Production and Material
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    Chapter 70 Improving Production System Flexibility and Changeability Through Software-Defined Manufacturing
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    Chapter 71 Improvement of Personnel Resources Efficiency by Aid of Competency-Oriented Activity Processing Time Assessment
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    Chapter 72 An Efficient Method for Automated Machining Sequence Planning Using an Approximation Algorithm
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    Chapter 73 Early Detection of Rejects in Presses
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    Chapter 74 Optimal Selection of Decarbonization Measures in Manufacturing Using Mixed-Integer Programming
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    Chapter 75 Concept for Increasing the Resilience of Manufacturing Companies
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    Chapter 76 Industrialization of Remanufacturing in the Highly Iterative Product and Production Process Development (HIP 3 D)
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    Chapter 77 Determining the Product-Specific Energy Footprint in Manufacturing
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    Chapter 78 A Service-Oriented Sustainability Platform—Basic Considerations to Facilitate a Data-Based Sustainability Management System in Manufacturing Companies
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    Chapter 79 Leveraging Peripheral Systems Data in the Design of Data-Driven Services to Increase Resource Efficiency
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    Chapter 80 Potential for Stamping Scrap Reduction in Progressive Processes
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    Chapter 81 Digital Twins in Battery Cell Production
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    Chapter 82 Use Cases for Digital Twins in Battery Cell Manufacturing
Overall attention for this book and its chapters
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Title
Production at the Leading Edge of Technology
Published by
Springer International Publishing, February 2023
DOI 10.1007/978-3-031-18318-8
ISBNs
978-3-03-118317-1, 978-3-03-118318-8
Editors

Liewald, Mathias, Verl, Alexander, Bauernhansl, Thomas, Möhring, Hans-Christian