The 4th Advanced Manufacturing Student Conference (AMSC24) presents a collection of review papers written exclusively by students to promote the learning and application of research methods in advanced manufacturing. Organised by Chemnitz University of Technology and the Fraunhofer Institute for Machine Tools and Forming Technology, the conference covers topics such as supply chain resilience 4.0, IoT and cybersecurity in smart manufacturing, sustainable additive manufacturing and immersive technologies. While the 72 individual papers cover important aspects, they are not exhaustive, as the focus was on giving students experience in writing a review article in a limited setting. Each submission underwent a two-stage review process to ensure academic rigour. However, given the rapid advances in the field of artificial intelligence, including tools such as ChatGPT, it cannot be guaranteed that all published reviews will be free of AI-generated content. In conclusion, AMSC24 not only highlights current trends and challenges in advanced manufacturing, but also plays a crucial role in developing the research skills of emerging early-stage researchers.:# Supply Chain Resilience 4.0
• Integration of Artificial Intelligence and Machine Learning in Supply Chain Management
• Digital Transformation in Supply Chains: The Role of Industry 4.0 in Enhancing Resilience
• Importance of Sustainable and Resilient Supply Chains
• Advancing Sustainability in Supply Chain Management through Block Chain Integration
• IoT-Powered Supply Chain and Logistics Improvement: Governing Industry 4.0's Challenges and Opportunities
# IoT & Cybersecurity: Smart Manufacturing
• IoT Integration in Industry 4.0: Enhancing Manufacturing Efficiency through Predictive Maintenance
• AI-Assisted Customized Manufacturing in Smart Factory
• Integrating Artificial Intelligence with Lean Management for Industry 4.0: - A Comprehensive Review
• Cybersecurity Challenges and Solutions in SmartManufacturing
• Predictive Maintenance Strategies for Small and Medium-Sized Enterprises (SMEs) in the Context of Industry 4.0 Technologies
• Smart Manufacturing - Challenges, Opportunities and Future Prospects
• Securing the Digital Factory: A Review of Cybersecurity Challenges, Threats, and Countermeasures in Smart Manufacturing
• Evolution of Vehicle-to-Everything with the onset of 6G: Technologies, Challenges, and Opportunities
• Enhancing Manufacturing 4.0 Efficiency through IoT and Robotics: A Systematic Literature Review
# Sustainable Additive Manufacturing
• Optimizing Hot Wire Laser Metal Deposition of Inconel 625: A Comprehensive Review
• Advancing Sustainability in Manufacturing: The Role of Additive Manufacturing Technologies
• A Review of Generative Design and Topology Optimization for Sustainability in Additive Manufacturing
• Enhancing Environmental Efficiency: Investigating Sustainable Product Design in Additive Manufacturing
• Improving Tensile Properties of Poly-Lactic Acid using Natural Fibre Reinforcement in Fused Deposition Modelling
• Sustainable 3D Printing: Carbon Fibre Composites for Advanced Lightweight Structures
• Impacts of Sustainability in Additive Manufacturing
# Circular Economy & Collaboration
• Smart Manufacturing and Circular Economy: Enabling Sustainable Manufacturing Systems for Electric Vehicle Batteries
• Overview of Low-Cost Prosthetic Feet using Non-Conventional Materials and Modern Manufacturing Processes for Lower Limb Amputees
• Impact of Circular Economy on Supply Chain Sustainability
• Circular Economy: Transforming Industries for Environmental Sustainability
• Implementing Circular Economy in Textile and Apparel Industry
• Human-Robot Teaming and its Barriers in Manufacturing
• Enhancing Safe Human-Robot Collaboration through Robot Skin: Challenges and Potential
• Advancement and Implication of Human–Robot Collaboration in Advanced Manufacturing: A Comprehensive Review
# Robotics & Digital Twins in Manufacturing
• A Review: Seam Tracking Operation for Robotic Gas Metal Arc Welding
• Advancements in Predictive Maintenance: Comprehensive Review of AI Applications in Industry
• Use of Machine Learning for Defect Detection on Additively Manufactured Materials
• Sink Marks in Plastic Injection Molding process: Detection and Reduction with Machine Learning and Artificial Intelligence
• Autonomous Robots for Intralogistics in Warehouse Management
• Strategic Adoption of Industry 4.0: A Guide for SMEs in Developing Nations
• Predictive Maintenance in Supply Chains: Leveraging Digital Twins in Industry 4.0
• Advances in Multiscale Numerical Modeling and Experimental Analysis of Additive Manufacturing Processes with Carbon Fiber Reinforced Polymers
• Digital Twins and Artificial Intelligence for Predictive Maintenance in Aerospace
# Sustainable 3D Printing
• 3D Printed Continuous Fiber Reinforced Composite
• Sustainability in Additive Manufacturing: From Design to Lifecycle Management
• A Review on Optimizing AlSi10Mg Alloy Properties and Structures via Selective Laser Melting for Sustainable Production
• Robotic Additive Manufacturing: Enhancing and Innovating Carbon Fiber Production
• Implementation of Additive Manufacturing Techniques in the Fabrication of Jet Engines Parts
• Review on Fused Deposition Modeling of PEEK for Medical Applications and its Process Optimization
• Embracing Sustainability through Industry 4.0: Additive Manufacturing's Role in Reducing Carbon Footprints
• Additive Manufacturing using Polyetheretherketone for Biomedical Applications
• Low Cost Fabrication Technique of Stainless Steel 316L using Fused Filament Fabrication
# Circularity & Energy Efficiency
• Direct Metal Laser Sintering vs. Conventional Manufacturing for Sustainable Production: Comparative Analysis
• Review of Circular Economy Practices for Lithium-Ion Batteries in Electric Vehicles Life Cycle
• Economic Approach to Power Generation by Optimization of Microgrid CHP Systems
• Catalytic Pyrolysis of Plastic Waste: Recent Advances, Emerging Technologies, and Prospects for Circular Economy
• Fabrication of Compact Heat Exchangers using Additive Manufacturing
• Optimizing Energy Consumption through Human-Machine Collaboration in Advanced Manufacturing
• Energy Efficiency of Laser Manufacturing Technologies
# Immersive Tech in Manufacturing
• Virtual Reality Applications: Transforming Industrial Productivity
• Augmented Reality Applications in Product Assembly Process
• Implementation of Immersive Technologies in the Design and Development Phase of Manufacturing System: An Effective Approach towards Industry 4.0
• Advancements in Engineering Textile Materials for Hernia Repair
• Immersive Innovations: Their Role in Modern Manufacturing
• Role of Augmented Reality, Digital Twin, Extended Reality & Data Transmission in Manufacturing Advancements
• Transforming Quality Assurance in Manufacturing through Augmented Reality Solutions
# Sustainable Manufacturing Solutions
• A Review on Fused Deposition Modeling of Polypropylene - Sustainability, Process Optimization
• Optimization of Process Parameters of Selective Laser Melting of Invar 36 Alloy: A Review
• Environmental Impact of Additive Manufacturing Processes – A Review
• Optimization of Gear through Additive Manufacturing
• Implementation of Circular Economy: Opportunities and Challenges
# Digital Twins & Robotics Synergy
• A Review of Digital Twin Applications in Industrial Safety
• Digital Twins in Automotive Manufacturing Production Lines – A Review
• Digital Twin Technologies in Industry 4.0: Review of Use Cases and Security Measures
• Degradation Predictions of Proton Exchange Membrane Fuel Cells in Automotive Industries
• Opportunities, Challenges and Applications of Swarm Robotic Systems in a Manufacturing Environment: A Protocol for a Systematic Review
• Optimizing Process Parameters and Defect Prediction for Metallic Additive Manufacturing Processes using Machine Learning Methods: A Review
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:93501 |
| Date | 20 September 2024 |
| Creators | Odenwald, Stephan, Götze, Uwe, Dix, Martin, Krumm, Dominik |
| Contributors | Technische Universität Chemnitz, Fakultät für Maschinenbau |
| Publisher | Universitätsverlag Chemnitz |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Collection |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | urn:nbn:de:bsz:ch1-qucosa2-786292, qucosa:78629 |
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