3Ddayinji

Analysis of 3D printed syntactic foam composites using hollow glass microballoons and HDPE, focusing on rheology, thermal expansion, and mechanical properties for lightweight applications.

Technical analysis of a novel 3D-printed terahertz sensor using photonic bandgap waveguides for non-contact refractive index monitoring of flowing liquids.

Analysis of a lightweight CNN-based model for early fault detection in FDM 3D printers using image data, achieving over 96% accuracy.

Research on 3D printing temperature-resistant nylon copolymer for autoclavable PPE using low-cost consumer 3D printers with minimal modifications.

Analysis of using SLA, SLS, and FDM 3D printing for manufacturing tailored gas jet nozzles to control plasma density profiles in laser wakefield acceleration.

A detailed guide on designing and 3D printing a regular octahedron using mathematical principles and OpenSCAD, covering geometry, transformations, and practical manufacturing considerations.

Comprehensive technical documentation and resources about 3ddayinji technology and applications.

Analysis of a novel framework for generating adaptive-width toolpaths in FDM 3D printing to eliminate overfill/underfill, improve mechanical properties, and enable back pressure compensation.

A detailed comparison of Stereolithography (SLA), Fused Filament Fabrication (FFF), and Selective Laser Sintering (SLS) for 3D printing isotropic NdFeB magnets, covering magnetic properties, process capabilities, and applications.

A review of additive manufacturing applications in quantum technologies, covering optics, optomechanics, magnetic components, vacuum systems, and future pathways.

Analysis of a multi-agent LLM framework automating alloy discovery for additive manufacturing, integrating CALPHAD simulations, process modeling, and autonomous decision-making.

A method for 3D printing temperature-resistant nylon copolymer on common low-cost 3D printers, enabling the production of autoclavable PPE without substantial material degradation.

Analysis of coercivity enhancement in additive-manufactured NdFeB magnets using selective laser sintering and grain boundary diffusion with low-melting alloys.

A novel methodology for efficient vibration suppression in delta 3D printers using filtered B-splines and real-time model approximation, achieving up to 23x computation speedup.

Research on a white reflective filament for FDM 3D printing of finely segmented plastic scintillator detectors, enhancing light yield and reducing optical crosstalk.

Development and characterization of a white reflective filament for additive manufacturing of finely segmented plastic scintillators using FDM 3D printing technology.

Analysis of a research project integrating NAO robots and 3D printers into primary school curricula to bridge digital design and physical creation, fostering digital literacy.

A comprehensive analysis of residual stress and plastic strain evolution in selective laser sintered porous materials using a novel 3D multilayer thermo-structural phase-field simulation framework.

A computational framework for optimizing fabrication sequences in multi-axis AM to minimize thermal distortion, using a continuous pseudo-time field and gradient-based optimization.

Analysis of using Fused Deposition Modeling (FDM) to fabricate soft bistable valves for fluidic logic circuits, reducing production time from 27 to 3 hours.

A detailed analysis of a novel front-tracking/finite volume method for high-fidelity simulation of fluid flow and cooling in FDM/FFF 3D printing processes.

A comparative study on FDM nozzle shape optimization using viscous and viscoelastic flow models, featuring a flexible geometric parametrization framework.

Analysis of geometric design constraints for alumina ceramic structures fabricated via indirect selective laser sintering, comparing polymer SLS rules with ceramic-specific limitations.

Analysis of design constraints for ceramic open-channel architectures fabricated via indirect SLS, comparing polymer SLS rules and identifying ceramic-specific limitations.

A novel halftoning technique for FDM 3D printing that uses line-based hatching to create grayscale imagery without compromising print geometry or time.

Analysis of UV-curable zirconia colloids for additive manufacturing via hybrid inkjet printing-stereolithography, focusing on ink formulation, printability, and sintering to high density.

Analysis of a novel Design for Manufacturing methodology combining subtractive machining and additive processes within a hybrid modular design framework.

A technical paper detailing a method to convert 2D grayscale logos into 3D printable STL files using Mathematica, with application to the JDRF logo.

An analysis of IoT architecture, security challenges, and a novel smartphone-based side-channel attack methodology targeting 3D printing systems, including technical details and future directions.

Analysis of how laser power and scanning speed affect microhardness in Laser Metal Deposited Ti6Al4V alloy using full factorial design of experiment.

Analysis of supervised ML algorithms for predicting Ultimate Tensile Strength in Fused Deposition Modeled Polylactic Acid, comparing Logistic, Gradient Boosting, Decision Tree, and K-Nearest Neighbor classifiers.

Advanced phase-field modeling of microstructure evolution during selective laser sintering, revealing process-microstructure relationships and enabling computational design optimization.

Analysis of a breakthrough method enabling simultaneous 3D printing and quantitative shape measurement during tomographic volumetric additive manufacturing, achieving sub-1% accuracy.

A comprehensive analysis of a novel 3D printing filament combining Polylactic Acid (PLA) with peanut hull particles (AHL) for enhanced mechanical properties and inherent antimicrobial functionality.

Research on the synthesis of nanocrystalline carbonated hydroxyapatite, its composite with polylactic acid, and surface microstructuring using direct laser writing for potential biomedical applications.

Analysis of PLA composite films with aligned few-layer graphene, focusing on mechanical property improvements, dispersion effects, and thermal/electrical conductivity.

Analysis of structure-property relationships in PLA-P(VDF-TrFE) blend films, focusing on thermal, mechanical, and electroactive properties for functional applications.

A technical analysis of a modified solvent casting/particulate leaching method for controlling crystallinity in porous PLA tissue engineering scaffolds, including methodology, results, and implications.

A comprehensive review of Projection Micro Stereolithography (PµSL) technology, its working principles, multiscale/multimaterial capabilities, and applications in metamaterials, optics, 4D printing, and biomedicine.

A framework for configuring expensive-to-evaluate advanced manufacturing processes using a novel, aggressive Bayesian Optimization acquisition function and parallelized, status-aware procedures.

A technical analysis of motion planning methods addressing singularity and collision issues in multi-axis 3D printing to improve fabrication quality.

Analysis of a research paper on a broadband THz absorber fabricated using stereolithography, covering design, experimental results, and implications for additive manufacturing in optics.

Phase-field approach for structural topology optimization in 3D printing with stress constraints, multiple materials, and multiscale analysis. Includes rigorous optimality conditions and experimental validation.

SurfCuit enables design and fabrication of durable electric circuits on 3D printed surfaces using copper tape and soldering techniques, eliminating complex casing design.

An in-depth exploration of additive manufacturing's role in sustainable production, covering technologies, environmental benefits, challenges, and future directions.

Research on creating on-demand, scalable fabrication machines using swarm robots. Demonstrates construction of X-Y-Z plotters and 3D printers with toio robots and 3D printed attachments.

A research paper proposing a reinforcement learning platform to dynamically learn optimal toolpath strategies for metal-based additive manufacturing, overcoming high-dimensional design space challenges.