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RISTopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In topology optimization using deep learning, the load and boundary conditions represented as vectors or sparse matrices often miss the opportunity to encode a rich view of the design problem, leading to less than ideal ...
A Statistical Model of Equivalent Grinding Heat Source Based on Random Distributed Grains
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurate information about the evolution of the temperature field is a theoretical prerequisite for investigating grinding burn and optimizing the process parameters of grinding process. This paper proposed a new statistical ...
A Coupled Thermomechanical Modeling Method for Predicting Grinding Residual Stress Based on Randomly Distributed Abrasive Grains
Publisher: American Society of Mechanical Engineers (ASME)
Abstract: In this research, we propose a coupled thermomechanical modeling method for predicting grinding residual stress based on randomly distributed grains. In order to deal with the problem that the nominal grinding force is too ...
Experimental Study of High Temperature Hydrozing Annealing 1J50 Alloy's Magnetic Properties
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The good DC magnetic properties can be achieved for 1J50 soft magnetic alloy by applying high temperature hydrogen annealing. Annealing process parameters, e.g., atmosphere, soaking temperature, and time, are critical to ...
StressGAN: A Generative Deep Learning Model for Two-Dimensional Stress Distribution Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Using deep learning to analyze mechanical stress distributions is gaining interest with the demand for fast stress analysis. Deep learning approaches have achieved excellent outcomes when utilized to speed up stress ...
Optimization of Part Consolidation for Minimum Production Costs and Time Using Additive Manufacturing
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This research presents a method of optimizing the consolidation of parts in an assembly using metal additive manufacturing (MAM). The method generates candidates for consolidation, filters them for feasibility and structural ...
Three-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: 3D modeling accurately depicts the physical world but typically requires substantial data acquisition resources and significant storage space. We introduce a novel three-dimensional slice-reconstruction model (3DSR) to ...
Intelligent Detection and Classification of Surface Defects on Cold-Rolled Galvanized Steel Strips Using a Data-Driven Faulty Model With Attention Mechanism
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In the production of cold-rolled galvanized steel strips used for stamping car body parts, the in-situ and real-time defect detection is crucial for quality control, in which various types of defects inevitably occur. It ...
An Automatic High-Precision Calibration Method of Legs and Feet for Quadruped Robots Using Machine Vision and Artificial Neural Networks
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Kinematics calibration for quadrupled robots is essential to ensuring motion accuracy and control stability. The angle of the leg joints of the quadruped robot is error-compensated to improve its position accuracy. This ...
SuperMeshing: Boosting the Mesh Density of Stress Field in Plane-Strain Problems Using Deep Learning Method
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The increase of the spatial resolution in numerical computation always leads to a decrease in computing efficiency with respect to the constraint of mesh density. In response to this problem of the inability to perform ...