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About this Abstract
Meeting 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Symposium 2026 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2026)
Presentation Title Lowering the Process-Knowledge Barrier in Additive Manufacturing Education through LLM-Guided Slicing
Author(s) Syed Ziaul Bin Bashar, Jesus Dias, Chaitanya Mahajan, Satyajayant Misra
On-Site Speaker (Planned) Syed Ziaul Bin Bashar
Abstract Scope Integrating Additive Manufacturing (AM) into education allows students to visualize complex concepts through tangible models. While Fused Filament Fabrication (FFF) is the standard in classrooms due to its affordability, the technical complexity of slicing remains a significant barrier for many users. To address this challenge, we introduce AutoSlice, a modular framework that streamlines the transition from design to physical product. Unlike existing applications that primarily rely on Large Language Models (LLMs) for CAD generation, AutoSlice uses an LLM as a core reasoning engine to automate slicer configuration. By synthesizing optimal print parameters from material properties and geometric heuristics, AutoSlice bridges a critical gap in the AM workflow. This innovation empowers educators and students to bypass technical bottlenecks, fostering a profound and accessible learning experience.
Proceedings Inclusion? Undecided

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

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Residual Stress-Informed Slicing Optimization for Multi-Laser Powder Bed Fusion
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Sinusoidal Rosenthal Solutions for Design of AM Meltpool Feedback Control
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Surface wetting and roughness-aware droplet solidification model for metal-droplet based additive manufacturing
Symbolic Regression for Infrared Camera and Pyrometer Calibration in Wire-Arc Additive Manufacturing
Temperature Distributions of Traditional Deposition Trajectories Towards Thermal-Model-Informed Path Planning Strategies in WAAM
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Testing the Use of Various Minkowski Distances in Functional Grading of Multi-material Additively Manufactured Origami-based Mechanisms
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Thermal Annealing-Induced Property Enhancement in Additively Manufactured PC-CF Composites
Thermal Modeling of Drop Placement Strategies for Multi-Nozzle Molten Metal Jetting
Thermal Optimization to Enable SMARTT Toolpaths for Efficient and Effective Multi-robot DED
Thermal Simulation of WAAM Inconel 718 for Heat Accumulation and Process Stability
Thermal, Electrical, and Shape Memory Performance of Multifunctional TPU/PCL–SWCNT Composites for Additive Manufacturing
Thin Wall Microstructure and Mechanical Behavior of GRX-810 ODS Alloy Fabricated Across Multiple Laser Powder Bed Fusion Systems
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Topology-Dependent Mechanical Response of Gyroid and Triangular Lattice Infill in Metal Additive Manufacturing
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Towards microstructure control in molten metal jetting using airborne ultrasound
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Transient Thermal Modeling and Experimental Validation of WAAM-Fabricated 316L Stainless Steel Using Julia
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Ultra-Compliant High-Density Bundle Structures: Formalization, Computational Design, Additive Manufacturing and Mechanical Behavior
Using Near-net Shape Structures printed by Fused Filament Fabrication to Characterize Tensile Property Anisotropy in Composite Polymers
Validation of Vision-Based Detection of Powder Spreading Defects in PBF-LB Using Light Scanning
Vision-Based Monitoring and Feedback Control for Laser-Wire Directed Energy Deposition
Volumetric Additive Repair: Near-Real Time Selective Multi-Axis Toolpathing
WAAM development Cell with Adaptive Trajectory Control
Wetting Characteristics of Molten Titanium Particles under Substrate Preheating in LPBF
Wire-Arc Additive Manufacturing Process Development for Martensitic Stainless Steels
Wire Arc Additive Manufacturing of Functionally Graded Materials
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