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Flexible Automation and Intelligent Manufacturing : Proceedings of FAIM 2022, June 19-23, 2022, Detroit, Michigan, USA.

Bibliographic Details
Main Author: Kim, Kyoung-Yun.
Other Authors: Monplaisir, Leslie., Rickli, Jeremy.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2022.
Edition:1st ed.
Series:Lecture Notes in Mechanical Engineering Series
Subjects:
Electronic books.
Online Access:Click to View
Table of Contents:
  • Intro
  • Preface
  • FAIM 2022 Organization
  • Organizing Committee
  • General Chairs
  • Technical Program Chairs
  • Industrial Program Chairs
  • Communication and Media Chairs
  • Conference Managers
  • Assistant Conference Managers
  • Steering Committee - FAIM 2022
  • Advisory Board - Program Committee
  • Honorary Chairs
  • Scientific Committee
  • Contents
  • Manufacturing Processes
  • Die-Less Forming of Fiber-Reinforced Plastic Composites
  • 1 Introduction
  • 2 Related Work
  • 3 Process Analysis for Die-Less Forming
  • 3.1 Materials
  • 3.2 Requirements and Functional Analysis
  • 3.3 Allocation and Evaluation of the Processing Functions
  • 4 Preliminary Practical Experiments
  • 4.1 Liquid Separate Thermoset Processing
  • 4.2 Organo Sheet Forming
  • 4.3 Woven Commingled Yarn Processing
  • 5 Discussion and Outlook
  • References
  • Assessment of High Porosity Lattice Structures for Lightweight Applications
  • 1 Introduction
  • 2 Modelling and Assessment of Lattice Structures
  • 2.1 Modelling of Lattice Structures
  • 2.2 Numerical Assessment
  • 3 Manufacturing and Dimensional Assessment of Lattice Structures
  • 3.1 Manufacturing with FDM Printer
  • 3.2 Dimensional Assessment of 3D Printed Cellular Structures
  • 4 Conclusions
  • References
  • Machine Tools
  • Development of a Sensor Integrated Machining Vice Towards a Non-invasive Milling Monitoring System
  • 1 Introduction
  • 2 State of the Art
  • 3 Approach
  • 4 Case Study on Chatter Detection
  • 5 Results and Discussion
  • 6 Conclusions
  • References
  • Effect of Ultrasonic Burnishing Parameters on Burnished-Surface Quality of Stainless Steel After Heat Treatment
  • 1 Introduction
  • 2 Materials and Methods
  • 2.1 Surface Roughness
  • 2.2 Surface Hardness
  • 2.3 EBSD (Sample Preparation and Post Processing)
  • 3 Results and Discussion
  • 3.1 Surface Roughness
  • 3.2 Surface Hardness.
  • 3.3 Grainsize Characterization
  • 4 Conclusions
  • References
  • High Precision Fabrication of an Innovative Fiber-Optic Displacement Sensor
  • 1 Introduction
  • 2 Sensor Principle
  • 3 High Precision Machining Technique
  • 3.1 The High Precision Turning Machine
  • 3.2 The Machining Strategy of the Cones Assembled Grating
  • 4 Conclusion
  • References
  • 3D Printing of Hydrogel-Based Seed Planter for In-Space Seed Nursery
  • 1 Introduction
  • 2 Materials and Method
  • 2.1 Materials
  • 2.2 Hydrogel Printing
  • 2.3 Seed Planting
  • 3 Results and Discussion
  • 3.1 Hydrogel Printing Quality Control and Mass Evaluation
  • 3.2 Volume Evaluation
  • 3.3 Soybean Density Evaluation
  • 4 Conclusions
  • References
  • Modelling and Simulation of Automated Hydraulic Press Brake
  • 1 Introduction
  • 2 Methodology
  • 2.1 Computer Aided Modelling and Simulation
  • 2.2 Model Control of Triplet Cylinder
  • 2.3 The Operational Model of the Triplet Cylinder
  • 3 Results and Discussion
  • 4 Conclusion
  • References
  • Assessment of Reconfigurable Vibrating Screen Technology for the Mining Industries
  • 1 Introduction
  • 2 Methodology
  • 3 Results and Discussion
  • 4 Conclusion
  • References
  • Manufacturing Systems
  • Deep Anomaly Detection for Endoscopic Inspection of Cast Iron Parts
  • 1 Introduction
  • 2 Related Work
  • 2.1 One-Class Classification (OCC) for Visual Anomaly Detection
  • 2.2 One-Class Classification Anomaly Detection for Industrial Inspection
  • 3 Use Case 'Endoscopic Cavity Inspection of Cast Iron Part'
  • 4 Proposed Approach
  • 4.1 Experimental Setup
  • 4.2 Experimental Results
  • 4.3 Threshold Selection and Comparison with Supervised Learning
  • 4.4 Discussion
  • 5 Conclusion and Outlook
  • References
  • Classification and Detection of Malicious Attacks in Industrial IoT Devices via Machine Learning
  • 1 Introduction
  • 2 Background.
  • 3 Dataset and Methodology
  • 4 Results and Discussion
  • 5 Conclusion
  • References
  • Implementation of a Novel Fully Convolutional Network Approach to Detect and Classify Cyber-Attacks on IoT Devices in Smart Manufacturing Systems
  • 1 Introduction
  • 2 Preprocessing of Datasets
  • 3 Results and Analysis
  • 4 Conclusions
  • References
  • Application of ARIMA-LSTM for Manufacturing Decarbonization Using 4IR Concepts
  • 1 Introduction
  • 2 Related Work on ARIMA-LSTM
  • 3 Methodology
  • 3.1 Data Set and Processing
  • 3.2 Auto-regressive Integrated Moving Average (ARIMA)
  • 3.3 Long Short-Term Memory (LSTM)
  • 3.4 Hybrid ARIMA-LSTM
  • 3.5 Predictive Evaluation Indicators Validation
  • 4 Results
  • 5 Conclusion
  • References
  • Online Path Planning in a Multi-agent-Controlled Manufacturing System
  • 1 Introduction
  • 2 Manufacturing Scenario
  • 3 Design and Implementation
  • 4 Conclusion
  • References
  • Assessing Visual Identification Challenges for Unmarked and Similar Aircraft Components
  • 1 Introduction
  • 2 Related Work and State of the Art
  • 3 Assessing Identification Challenges - Methodology
  • 4 Application of Methodology to Use-Cases
  • 4.1 Use-Case 1 - Type-Identification of Bushings
  • 4.2 Use-Case 2 - Identification of Tubes
  • 5 Discussion
  • 6 Conclusion and Outlook
  • References
  • Projecting Product-Aware Cues as Assembly Intentions for Human-Robot Collaboration
  • 1 Introduction
  • 2 Related Work
  • 3 Research Objectives, Setting and Scope
  • 4 Theoretical Background
  • 4.1 Oriented Minimum Bounding Boxes
  • 4.2 Camera and Projector Model
  • 5 Methods
  • 5.1 Estimating Intrinsic and Extrinsic Parameters
  • 5.2 Digital Thread Framework
  • 5.3 Product Design Environment
  • 5.4 Intent Projection
  • 6 Experimental Results and Observations
  • 6.1 Occlusions
  • 6.2 Bounding Boxes for Intent Projection
  • 6.3 Digital Thread Framework.
  • 7 Conclusions and Future Work
  • References
  • Online Quality Inspection Approach for Submerged Arc Welding (SAW) by Utilizing IR-RGB Multimodal Monitoring and Deep Learning
  • 1 Introduction
  • 2 Quality Assessment Method
  • 2.1 Model Selection and Architecture
  • 2.2 Training of the CNNs
  • 3 Experimental Setup and Data Processing
  • 4 Results and Discussion
  • 5 Conclusions and Future Outlook
  • References
  • Detachable, Low-Cost Tool Holder for Grippers in Human-Robot Interaction
  • 1 Introduction
  • 2 State-of-the-Art
  • 3 Development Process
  • 4 Detachable, Low-Cost Tool Holder for Robot Grippers
  • 5 Discussion
  • 6 Conclusion and Outlook
  • References
  • Intelligent Robotic Arm Path Planning (IRAP2) Framework to Improve Work Safety in Human-Robot Collaboration (HRC) Workspace Using Deep Deterministic Policy Gradient (DDPG) Algorithm
  • 1 Introduction
  • 2 Problem Statement and Methodology
  • 2.1 Problem Statement
  • 2.2 The IRAP2 Framework Based on DDPG
  • 3 Results and Discussion
  • 3.1 Evaluation of the Training Process
  • 3.2 The Optimal Pick-Up Path Generated by IRAP2 Framework
  • 3.3 Validation of the Robot Control
  • 4 Conclusion and Outlook
  • References
  • A Conceptual Framework of a Digital-Twin for a Circular Meat Supply Chain
  • 1 Introduction
  • 2 Background
  • 3 A Conceptual Framework of Digital-Twin for a Circular Meat Supply Chain
  • 3.1 Proposed Conceptual Framework of DT Applied to a Circular Meat Supply Chain
  • 4 Conclusions and Future Challenges/Work
  • References
  • A Mathematical Model for Cloud-Based Scheduling Using Heavy Traffic Limit Theorem in Queuing Process
  • 1 Introduction
  • 2 Cloud Manufacturing Platform
  • 3 Methodology
  • 3.1 Heavy Traffic Limit Theory in Different Classified QoS
  • 4 Modelling of Queuing Process Based on Cloud Classification
  • 4.1 Number of Operational Resources in the Queuing System.
  • 5 Results and Discussion
  • 6 Conclusion
  • References
  • Approach for Evaluating Changeable Production Systems in a Battery Module Production Use Case
  • 1 Introduction
  • 2 Industry Survey
  • 2.1 Survey Structure
  • 2.2 Survey Results
  • 3 State of the Art
  • 4 Method
  • 5 Battery Module Production Use Case
  • 6 Summary and Outlook
  • References
  • Cost-Minimal Selection of Material Supply Strategies in Matrix Production Systems
  • 1 Introduction
  • 2 State of the Art
  • 2.1 Material Supply and the Selection Process of Supply Strategies
  • 2.2 Challenges to the Material Supply in Matrix Production
  • 2.3 Cost Accounting in the Context of Logistics
  • 2.4 Algorithms
  • 3 Method for Cost-Minimal Material Supply Strategy Selection
  • 3.1 Structure of Method
  • 3.2 Cost Side Description of Alternative Supply Strategies
  • 3.3 Selection of the Most Cost-Effective Material Supply Strategy in Matrix Production System
  • 4 Summary and Outlook
  • References
  • Assessment of Ergonomics Risk Experienced by Welding Workers in a Rail Component Manufacturing Organization
  • 1 Introduction
  • 2 Methods and Materials
  • 3 Results and Interpretation
  • 4 Conclusion
  • References
  • A Survey of Smart Manufacturing for High-Mix Low-Volume Production in Defense and Aerospace Industries
  • 1 Introduction
  • 2 Manufacturing Strategies for HMLV in Defense and Aerospace Industries
  • 2.1 Major Issues
  • 2.2 Advanced Processing Techniques
  • 2.3 Make-to-X Strategy
  • 2.4 Group Technology
  • 2.5 Lean Practices
  • 3 A Smart Manufacturing Solution
  • 3.1 Automation in Manufacturing
  • 3.2 Smart Production Planning and Control
  • 4 Concluding Remarks
  • References
  • Feasibility Analysis of Safety Training in Human-Robot Collaboration Scenario: Virtual Reality Use Case
  • 1 Introduction
  • 2 Related Work
  • 2.1 Virtual Reality Training
  • 2.2 Virtual Reality Safety Training.
  • 3 Research Methods, Material and Approach.

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