YaBeSH Digital Library: Recent submissions
Now showing items 13361-13380 of 316660
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Nanotechnology-Enabled Rapid Investment Casting of Aluminum Alloy 7075
(The American Society of Mechanical Engineers (ASME), 2024)Rapid investment casting with additively produced molds can offer excellent surface finishes, tight dimensional tolerances, and complex geometries for high-performance metal parts in a rapid fashion. However, there is a ... -
Influence of Breath-Mimicking Ventilated Incubation on Three-Dimensional Bioprinted Respiratory Tissue Scaffolds
(The American Society of Mechanical Engineers (ASME), 2024)Development of respiratory tissue constructs is challenging due to the complex structure of native respiratory tissue and the unique biomechanical conditions induced by breathing. While studies have shown that the inclusion ... -
Iterative Stress Reconstruction Algorithm to Estimate Three-Dimensional Residual Stress Fields in Manufactured Components
(The American Society of Mechanical Engineers (ASME), 2024)Residual stress (RS) significantly impacts the mechanical performance of components. Measurement of RS often provides incomplete data in terms of components of stress and spatial density. Employing such fields in finite ... -
A Microchannel Heat Exchanger Produced From a Metal Matrix Composite by Hybrid Laser Powder Bed Fusion and Inkjet Printing
(The American Society of Mechanical Engineers (ASME), 2024)This paper explores the production of an oxide dispersion strengthened (ODS) 304L stainless steel microchannel heat exchanger (HX) using a hybrid additive manufacturing process of laser powder bed fusion and inkjet printing. ... -
A Mathematical Modeling of Computer Numerical Control Skiving Process for Manufacturing Helical Face Gears Using Sensitivity Matrix Combined With Levenberg–Marquardt Algorithm
(The American Society of Mechanical Engineers (ASME), 2024)Currently, numerous studies have applied gear skiving processes to produce face gear. However, there remains a significant challenge in achieving a flexible computing model for manufacturing a precise tooth surface for ... -
Effects of Failure Criteria on Quantitatively Determining the Machining Mechanics for CFRP With Different Tool Rake Angles
(The American Society of Mechanical Engineers (ASME), 2024)The machining mechanics of carbon fiber reinforced polymer (CFRP) materials are influenced by the coupled effects of the workpiece anisotropy, tool edge geometry, and cutting parameters. Predicting the chip formation ... -
Environmental Impact, Mechanical Properties, and Productivity: Considerations on Filler Wire and Scanning Strategy in Laser Welding
(The American Society of Mechanical Engineers (ASME), 2024)Sustainability, as well as high-quality outcomes, pose significant challenges within the context of current manufacturing cycles, in alignment with European strategies aimed at decarbonization. This framework encourages a ... -
Effect of Interlayer Machining Interventions on the Geometric and Mechanical Properties of Wire Arc Directed Energy Deposition Parts
(The American Society of Mechanical Engineers (ASME), 2024)Wire arc directed energy deposition (Wire Arc DED) has become a popular metal additive manufacturing technique for its capability to print large metal parts at a high deposition rate while being economically efficient. ... -
Chatter Stability of Orthogonal Turn-Milling Process in Frequency and Discrete-Time Domains
(The American Society of Mechanical Engineers (ASME), 2024)As the industry seeks better quality and efficiency, multitasking machine tools are becoming increasingly popular owing to their ability to create complex parts in one setup. Turn-milling, a type of multi-axis machining, ... -
Three-Dimensional X-Ray Computed Tomography Image Segmentation and Point Cloud Reconstruction for Internal Defect Identification in Laser Powder Bed Fused Parts
(The American Society of Mechanical Engineers (ASME), 2024)Defects shape, volume, and orientation all have a direct impact on the mechanical properties of Laser Powder Bed Fused (L-PBF-ed) parts. Therefore, it is necessary to evaluate and analyze the three-dimensional (3D) geometrical ... -
Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operators
(The American Society of Mechanical Engineers (ASME), 2024)High-fidelity, data-driven models that can quickly simulate thermal behavior during additive manufacturing (AM) are crucial for improving the performance of AM technologies in multiple areas, such as part design, process ... -
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics
(The American Society of Mechanical Engineers (ASME), 2024)Melt pool dynamics in metal additive manufacturing (AM) is critical to process stability, microstructure formation, and final properties of the printed materials. Physics-based simulation, including computational fluid ... -
Surface Reaction of Electroosmotic Flow-Driven Free Antigens With Immobilized Magnetic-Microbeads-Tagged-Antibodies in Microchannels
(The American Society of Mechanical Engineers (ASME), 2024)Immunoassays based on reactions between target pathogen (antigen; Ag) and antibody (Ab) are frequently used for Ag detection. An external magnetic field was used to immobilize magnetic microbeads-tagged-antibodies (mMB-Ab) ... -
Physics-Informed Approximation of Internal Thermal History for Surface Deformation Predictions in Wire Arc Directed Energy Deposition
(The American Society of Mechanical Engineers (ASME), 2024)This work presents a physics-informed fusion methodology for deformation detection using multi-sensor thermal data. A challenge with additive manufacturing (AM) is that abnormalities commonly occur due to rapid changes in ... -
A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis—Part III: Model Training and Fault Detection
(The American Society of Mechanical Engineers (ASME), 2024)The primary goal of the paper is to monitor the health of the spindle in machine tools to ensure optimal performance and reduce costly downtimes. Spindle health monitoring is essential to detect wear and cracks in spindle ... -
A Physics-Based Model-Data-Driven Method for Spindle Health Diagnosis, Part I: Modeling of Geometric Faults
(The American Society of Mechanical Engineers (ASME), 2024)The spindle determines the performance of machine tools; hence, monitoring its health is essential to maintain machining productivity and avoid costly downtimes. The magnitudes and locations of wear and cracks in the bearing ... -
AFSD-Nets: A Physics-Informed Machine Learning Model for Predicting the Temperature Evolution During Additive Friction Stir Deposition
(The American Society of Mechanical Engineers (ASME), 2024)This study models the temperature evolution during additive friction stir deposition (AFSD) using machine learning. AFSD is a solid-state additive manufacturing technology that deposits metal using plastic flow without ... -
Process Damping Identification Using Bayesian Learning and Time Domain Simulation
(The American Society of Mechanical Engineers (ASME), 2024)Process damping can provide improved machining productivity by increasing the stability limit at low spindle speeds. While the phenomenon is well known, experimental identification of process damping model parameters can ... -
A Novel Physics-Based Model for Predicting Melt Pool Dimensions in Laser Powder Bed Fusion Process
(The American Society of Mechanical Engineers (ASME), 2024)This paper employed a scaling analysis to represent the processing parameters, affecting the melting process in the dimensionless numbers, identify the relationships of these dimensionless numbers, and develop semi-empirical ... -
Special Issue: Physics-Informed Machine Learning for Advanced Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Yuebin GuoYuebin Guo This Special Issue serves as a bridge between the ASME Journal of Manufacturing Science and Engineering (JMSE) and the global community of artificial intelligence manufacturing researchers. The primary ...