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A state-of-the-art review on implementation of digital twin in additive manufacturing to monitor and control parts quality
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-05861-6_34openalex-snapshot
About a Digital Twin for the Fatigue Approach of Additively Manufactured Components
inferredcites →https://doi.org/10.1007/s40192-017-0088-1openalex-snapshot
Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data
inferredcites →https://doi.org/10.1016/j.actamat.2016.02.014openalex-snapshot
Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones
inferredcites →https://doi.org/10.1016/j.actamat.2017.06.039openalex-snapshot
Building blocks for a digital twin of additive manufacturing
inferredcites →https://doi.org/10.1016/j.addma.2015.03.003openalex-snapshot
Computational modeling of residual stress formation during the electron beam melting process for Inconel 718
inferredcites →https://doi.org/10.1016/j.addma.2016.07.001openalex-snapshot
A comprehensive analytical model for laser powder-fed additive manufacturing
inferredcites →https://doi.org/10.1016/j.aei.2018.10.008openalex-snapshot
Multi-source data analytics for AM energy consumption prediction
inferredcites →https://doi.org/10.1016/j.apmt.2018.11.003openalex-snapshot
A digital twin for rapid qualification of 3D printed metallic components
inferredcites →https://doi.org/10.1016/j.cirp.2016.05.004openalex-snapshot
Design for Additive Manufacturing: Trends, opportunities, considerations, and constraints
inferredcites →https://doi.org/10.1016/j.cirp.2017.04.040openalex-snapshot
Shaping the digital twin for design and production engineering
inferredcites →https://doi.org/10.1016/j.cirp.2019.04.024openalex-snapshot
Development and operation of Digital Twins for technical systems and services
inferredcites →https://doi.org/10.1016/j.cma.2019.112734openalex-snapshot
Thermal field prediction for laser scanning paths in laser aided additive manufacturing by physics-based machine learning
inferredcites →https://doi.org/10.1016/j.commatsci.2018.04.022openalex-snapshot
Heat and fluid flow in additive manufacturing—Part I: Modeling of powder bed fusion
inferredcites →https://doi.org/10.1016/j.commatsci.2018.04.027openalex-snapshot
Heat and fluid flow in additive manufacturing – Part II: Powder bed fusion of stainless steel, and titanium, nickel and aluminum base alloys
inferredcites →https://doi.org/10.1016/j.ifacol.2018.08.474openalex-snapshot
Digital Twin in manufacturing: A categorical literature review and classification
inferredcites →https://doi.org/10.1016/j.jmatprotec.2019.03.029openalex-snapshot
Thermal analyses for optimal scanning pattern evaluation in laser aided additive manufacturing
inferredcites →https://doi.org/10.1016/j.jmsy.2020.05.010openalex-snapshot
Digital Twin-enabled Collaborative Data Management for Metal Additive Manufacturing Systems
inferredcites →https://doi.org/10.1016/j.matdes.2018.11.014openalex-snapshot
Thermo-mechanical analyses for optimized path planning in laser aided additive manufacturing processes
inferredcites →https://doi.org/10.1016/j.msea.2006.11.149openalex-snapshot
Tailoring gas tungsten arc weld geometry using a genetic algorithm and a neural network trained with convective heat flow calculations
inferredcites →https://doi.org/10.1016/j.pmatsci.2017.10.001openalex-snapshot
Additive manufacturing of metallic components – Process, structure and properties
inferredcites →https://doi.org/10.1016/j.scriptamat.2016.12.005openalex-snapshot
Building digital twins of 3D printing machines
inferredcites →https://doi.org/10.1038/s41524-018-0081-zopenalex-snapshot
A strategy to apply machine learning to small datasets in materials science
inferredcites →https://doi.org/10.1038/srep16446openalex-snapshot
Evolution of solidification texture during additive manufacturing
inferredcites →https://doi.org/10.1063/1.2710780openalex-snapshot
Transport phenomena during direct metal deposition
inferredcites →https://doi.org/10.1063/1.4896751openalex-snapshot
Heat transfer and material flow during laser assisted multi-layer additive manufacturing
inferredcites →https://doi.org/10.1080/00207543.2016.1229064openalex-snapshot
Additive manufacturing management: a review and future research agenda
inferredcites →https://doi.org/10.1080/00207543.2017.1282645openalex-snapshot
Alternative production strategies based on the comparison of additive and traditional manufacturing technologies
inferredcites →https://doi.org/10.1080/00207543.2018.1516905openalex-snapshot
IoT-enabled cloud-based additive manufacturing platform to support rapid product development
inferredcites →https://doi.org/10.1080/17452759.2018.1498660openalex-snapshot
Design By Additive Manufacturing: an application in aeronautics and defence
inferredcites →https://doi.org/10.1088/2515-7639/abca7bopenalex-snapshot
Modeling process–structure–property relationships in metal additive manufacturing: a review on physics-driven versus data-driven approaches
inferredcites →https://doi.org/10.1088/2515-7639/abf3cfopenalex-snapshot
On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review
inferredcites →https://doi.org/10.1093/jcde/qwaa042openalex-snapshot
Introducing design for selective laser melting in aerospace industry☆
inferredcites →https://doi.org/10.1108/rpj-02-2016-0016openalex-snapshot
A method for modularity in design rules for additive manufacturing
inferredcites →https://doi.org/10.1115/detc2017-68446openalex-snapshot
Design Rules for Additive Manufacturing: A Categorization
inferredcites →https://doi.org/10.1155/2011/154798openalex-snapshot
Reengineering Aircraft Structural Life Prediction Using a Digital Twin
inferredcites →https://doi.org/10.1179/1743284714y.0000000701openalex-snapshot
Spatial variation of melt pool geometry, peak temperature and solidification parameters during laser assisted additive manufacturing process
inferredcites →https://doi.org/10.2351/1.4817788openalex-snapshot
Heat transfer and fluid flow in additive manufacturing
inferredcites →https://doi.org/10.2355/isijinternational.39.966openalex-snapshot
Neural Networks in Materials Science.
inferredcites →https://doi.org/10.3233/atde210018openalex-snapshot
Legal Considerations for Using Digital Twins in Additive Manufacture – A Review of the Literature
inferredcites →https://doi.org/10.3390/app10238350openalex-snapshot
Digital Twins for Additive Manufacturing: A State-of-the-Art Review
inferredcites →https://doi.org/10.3390/designs4020013openalex-snapshot
Exploring the Interrelationship between Additive Manufacturing and Industry 4.0
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4680266openalex-extracted
A Real-Time Digital Twin to Inform In-Process Decision Support in Additive Manufacturing
inferred← citeshttps://doi.org/10.1002/pc.26876openalex-snapshot
Development of artificial intelligence‐based neural network prediction model for responses of additive manufactured polylactic acid parts
inferred← citeshttps://doi.org/10.1007/s00170-024-14147-wopenalex-snapshot
Pre- and in-process dimensional compensation in the selective thermoplastic electrophotographic process
inferred← citeshttps://doi.org/10.1007/s00170-025-16575-8openalex-snapshot
Application of real-time models for multi-scale predictions during material processes
inferred← citeshttps://doi.org/10.1007/s00170-026-17632-6openalex-snapshot
A systematic review and unified framework for design for additive manufacturing (DfAM)
inferred← citeshttps://doi.org/10.1007/s10845-024-02524-xopenalex-snapshot
A systematic online update method for reduced-order-model-based digital twin
inferred← citeshttps://doi.org/10.1007/s40964-025-01262-7openalex-snapshot
Current approaches to digital twins in additive manufacturing: a systematic literature review
inferred← citeshttps://doi.org/10.1016/j.ijlmm.2024.06.004openalex-snapshot
Exploring the integration of digital twin and additive manufacturing technologies
inferred← citeshttps://doi.org/10.1016/j.jmsy.2024.04.015openalex-snapshot
Service oriented digital twin for additive manufacturing process
inferred← citeshttps://doi.org/10.1016/j.rineng.2023.101356openalex-snapshot
The future of the technology-based manufacturing in the European Union
inferred← citeshttps://doi.org/10.1080/09349847.2024.2440353openalex-snapshot
Applying Digital Twin Methods for Process-Structure-Property Correlation Assessment in Metal Additive Manufacturing with Limited Experimental Data
inferred← citeshttps://doi.org/10.1080/27525783.2026.2613469openalex-snapshot
Quality-centric digital twins in additive manufacturing: a review of the state-of-the-art, challenges, and future directions
inferred← citeshttps://doi.org/10.1088/1361-6501/ad7e45openalex-snapshot
Classification of melt pool states for defect detection in laser directed energy deposition using FixConvNeXt model
inferred← citeshttps://doi.org/10.1109/access.2023.3294486openalex-snapshot
Integrating Machine Learning Model and Digital Twin System for Additive Manufacturing
inferred← citeshttps://doi.org/10.1109/aiiot65859.2025.11105328openalex-snapshot
On the Quality Aspects of Digital Twins
inferred← citeshttps://doi.org/10.1109/icarce63054.2024.00017openalex-snapshot
Optimization Machining Processes in Multi-User Cyber-Physical Cells: A Comparative
inferred← citeshttps://doi.org/10.1109/sist58284.2023.10223556openalex-snapshot
Digital Twin for Additive Manufacturing: Challenges and Future Research Direction
inferred← citeshttps://doi.org/10.1109/tim.2023.3272391openalex-snapshot
PD Signal Detection Model Based on Multiscale Simulation of EM Generation and Transmission
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5781603/v1openalex-snapshot
Integrating sensors and Machine Learning: A smart monitoring system prototype for quality assurance in additive manufacturing for the aerospace industry
inferred← citeshttps://doi.org/10.3390/app16147233openalex-snapshot
Comprehensive Review of the Architectural Metamorphosis and Techno-Economic Implications of Artificial Intelligence-Integrated Digital Twin Ecosystems
inferred← citeshttps://doi.org/10.3390/buildings13051264openalex-snapshot
Data-Driven Quantitative Performance Evaluation of Construction Supervisors
inferred← citeshttps://doi.org/10.3390/machines13080691openalex-snapshot
Digital Twins, AI, and Cybersecurity in Additive Manufacturing: A Comprehensive Review of Current Trends and Challenges
inferred← citeshttps://doi.org/10.3390/pr12061062openalex-snapshot
Digital Twin Implementation in Additive Manufacturing: A Comprehensive Review
inferred← citeshttps://doi.org/10.37385/jaets.v5i2.3244openalex-snapshot
A Bibliometric Article Regarding Twin Technology In Technology Management For The Year 2019-2025: Industry In Malaysia
inferred← citeshttps://doi.org/10.5772/intechopen.106036openalex-snapshot
Introductory Chapter: Rapid Prototyping – Trends and Opportunities
inferred← citeshttps://doi.org/10.5772/intechopen.97962openalex-snapshot
Trends and Opportunities of Rapid Prototyping Technologies
inferred← citeshttps://doi.org/10.7250/bjrbe.2025-20.668openalex-snapshot
Multiscale Evaluation of Open-Graded Friction Course (OGFC) Asphalt Mixture Fatigue Damage
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