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Meeting 2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
Symposium 2025 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2025)
Presentation Title Convolutional Neural Network Approach for Predicting Melt Pool Dimensions in Laser Powder Bed Fusion Process
Author(s) Oluwapelumi Oluwaseyi Adejumo, Nayan Pundhir, K Chandrashekhara, Cesar Ortiz Rios, Misak Heath
On-Site Speaker (Planned) Oluwapelumi Oluwaseyi Adejumo
Abstract Scope Laser powder bed fusion (LPBF) is an additive manufacturing process that uses a high-powered laser to selectively melt metal powder and build parts layer by layer. In this study, a computational fluid dynamics (CFD) model that simulates the LPBF process has been developed using Flow-3D software to generate melt pool images. These images were used to train a convolutional neural network (CNN), a deep learning model well-suited for image-based data, to predict the melt pool dimensions. Using the mean absolute error (MAE) and root mean square error (RMSE), the performance metrics for validating the model built were evaluated yielding values of 0.0275 and 0.0371 for MAE and RMSE respectively. The model demonstrated predictive capabilities in estimating accurate melt pool dimensions directly from the melt pool images without relying on process parameters like laser power or scan speed, highlighting its potential for data-driven monitoring and quality control in LPBF processes.
Proceedings Inclusion? Planned: Post-meeting proceedings

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The Effects of Gravity on Track Integrity During Collaborative Robot-Assisted Wire Arc Additive Manufacturing
The Influence of Hot Isostatic Pressing Process on the Fatigue Life of EB-PBF Printed Ti-6Al-4V
Thermal Exposure Optimization for Enhanced Interlayer Strength in FFF-Printed ABS: A DOE and Microstructural Investigation
Thermal History Prediction of More Complex Geometries for DED Based on SciML
Thermal Monitoring in AC Selective Laser Flash Sintering of Ceramics Using a Mid-Wave Infrared Photodiode
Toolpath Planning for Multi-Nozzle Concurrent Molten Metal Jetting Process
Top Layer Quality Assurance of Complex Geometries Based on Region of Interest in Additive Manufacturing
Topology and Orientation Optimized-Inspired Toolpath Planning for Continuous Fiber Material Extrusion
Toward Real-Time Finite Element Analysis-Informed Feedback Control of Wire-Arc Directed Energy Deposition via Robot Operating System 2 In-Situ Monitoring System
Towards Parametric Design for Additive Manufacturing of Coral Structures Using a Digital Twin Approach
Towards Scalable and Energy-Efficient Extrusion Additive Manufacturing of Thermoplastic Polymer Composites
Towards the Production of a 3D Part in Selective Laser Additive Manufacturing Acousto-Optic Light Engine (SLAM – ALE)
Train Small, Predict Big: Scalable Thermal Surrogate Modeling for LPBF Using MODAL
Transfer Learning for Process–Microstructure–Property Mapping in Micro Selective Laser Sintering
Transient Liquid Phase Surface Smoothing
Tribo-Mechanical and Corrosion Characteristics of SS316L-IN625 Alloys of Varying Compositions Fabricated by Twin Wire WAAM-TIG
Two-Component Thermoset Polymer Formwork for Concrete Casting
Uncovering Process-Structure Relationships in Directed Energy Deposition of Nickel-Based Alloys on Low-Alloy Steel with Post-Deposition Heat Treatment
Understanding Hardening Behavior Induced by Interlayer Shot Peening in Laser Powder Bed Fusion of 316L Stainless Steel
Understanding Multi-Line Printing and the Effects of Controlled Prewetting on Binder Jetting Print Cohesion
Understanding Sources of Spatial Density Variation in Green Parts Produced by Binder Jetting
Understanding the Effect of Heat Treatment on Mechanical Properties of Additive Manufactured 1.2709 Grade Maraging Steel
Understanding the Feasibility of Using NiTi55 Interlayer for Ti6Al4V-18Ni Maraging Steel Multi-Metal Deposition in L-PBF
Use of In-Situ Thermography to Study Scan Strategy for Laser Foil Printing of Metallic Glass
Using Acoustic Signals For Torch-to-Bead Distance Estimation and Closed-Loop Control in Wire Arc Additive Manufacturing
Using Coaxial Melt Pool Images to Construct In-Process 3D Volume Model in Powder Bed Fusion Additive Manufacturing
Using Machine Learning-Based Process Map to Guide Evaluation of Inconel 625 Mechanical Properties in Laser Foil Printing
Vat Photopolymerization of Na3V2(PO4)3-Based Electrodes for Sodium-Ion Batteries
Vat Photopolymerization of Ultra-Soft Polymer Foams
Volumetric Medical Models: Direct Imaging to Functional 3D Prints
Wire Arc Additive Manufacturing Benefits and Challenges: A Survey
Wire Arc Additive Manufacturing Development for Aluminum 6061 RAM
Wire Arc Additive Manufacturing of a Large Scale, High Aspect Ratio, Multi-Material Part
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