Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 261-280 of 1535
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Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials
(The American Society of Mechanical Engineers (ASME), 2024)In recent years, advances in additive manufacturing (AM) techniques have called for a scalable fabrication framework for high-resolution designs. Despite several process-specific handful design approaches, there is a gap ... -
Interactive 3D Product Information Design in Virtual Reality Shopping Application
(The American Society of Mechanical Engineers (ASME), 2024)Current e-commerce companies are trying to create shopping applications in virtual reality (VR), because interactive 3D product information designs are believed to enrich the online shopping experience. However, existing ... -
Physically Based Rendering of Animated Point Clouds for EXtended Reality
(The American Society of Mechanical Engineers (ASME), 2023)Point cloud 3D models are gaining increasing popularity due to the proliferation of scanning systems in various fields, including autonomous vehicles and robotics. When employed for rendering purposes, point clouds are ... -
Transferability Analysis of Data-Driven Additive Manufacturing Knowledge: A Case Study Between Powder Bed Fusion and Directed Energy Deposition
(The American Society of Mechanical Engineers (ASME), 2024)Data-driven research in additive manufacturing (AM) has gained significant success in recent years. This has led to a plethora of scientific literature emerging. The knowledge in these works consists of AM and artificial ... -
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts
(The American Society of Mechanical Engineers (ASME), 2024)The presence of gaps and spurious nonphysical artifacts in datasets is a nearly ubiquitous problem in many scientific and engineering domains. In the context of multiphysics numerical models, data gaps may arise from lack ... -
Efficient Mapping Between Void Shapes and Stress Fields Using Deep Convolutional Neural Networks With Sparse Data
(The American Society of Mechanical Engineers (ASME), 2024)Establishing fast and accurate structure-to-property relationships is an important component in the design and discovery of advanced materials. Physics-based simulation models like the finite element method (FEM) are often ... -
Enhancing Part Quality Management Using a Holistic Data Fusion Framework in Metal Powder Bed Fusion Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2024)Metal powder bed fusion additive manufacturing (AM) processes have gained widespread adoption for the ability to produce complex geometries with high performance. However, a multitude of factors still affect the build ... -
A Case Study on Digital Training: Benefits and Unexplored Opportunities
(The American Society of Mechanical Engineers (ASME), 2024)In an era characterized by the increasing complexity of products and the rapid turnover of the workforce across different companies, there is a growing need to invest significantly in quick and efficient training methods. ... -
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation
(The American Society of Mechanical Engineers (ASME), 2024)Segmentation of anatomical components is a major step in creating accurate and realistic 3D models of the human body, which are used in many clinical applications, including orthopedics. Recently, many deep learning ... -
Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network
(The American Society of Mechanical Engineers (ASME), 2024)Human intention prediction plays a critical role in human–robot collaboration, as it helps robots improve efficiency and safety by accurately anticipating human intentions and proactively assisting with tasks. While current ... -
Cellular Chaos: Statistically Self-Similar Structures Based on Chaos Game
(The American Society of Mechanical Engineers (ASME), 2023)We present a novel methodology to generate mechanical structures based on fractal geometry using the chaos game, which generates self-similar point-sets within a polygon. Using the Voronoi decomposition of these points, ... -
GLHAD: A Group Lasso-Based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems
(The American Society of Mechanical Engineers (ASME), 2023)As Industry 4.0 and digitization continue to advance, the reliance on information technology increases, making the world more vulnerable to cyberattacks, especially cyber-physical attacks that can manipulate physical systems ... -
Vector Field-Based Volume Peeling for Multi-Axis Machining
(The American Society of Mechanical Engineers (ASME), 2023)This paper presents an easy-to-control volume peeling method for multi-axis machining based on the computation taken on vector fields. The current scalar field-based methods are not flexible and the vector field-based ... -
Soft- and Hard-Kill Hybrid Graphics Processing Unit-Based Bidirectional Evolutionary Structural Optimization
(The American Society of Mechanical Engineers (ASME), 2024)Bidirectional evolutionary structural optimization (BESO) is a well-recognized method for generating optimal topologies of structures. Its soft-kill variant has a high computational cost, especially for large-scale structures, ... -
Algorithm for Detecting Load-Carrying Regions Within the Tip Seat of an Indexable Cutting Tool
(The American Society of Mechanical Engineers (ASME), 2024)Maintaining an even pressure distribution in an indexable cutting tool interface is crucial to the life expectancy of a carbide insert. Avoiding uneven pressure distribution is highly relevant for intermittent cutting ... -
Multiscale Feature Fusion Convolutional Neural Network for Surface Damage Detection in Retired Steel Shafts
(The American Society of Mechanical Engineers (ASME), 2024)The detection of surface damage is an important part of the process before remanufacturing a retired steel shaft (RSS). Traditional damage detection is mainly done manually, which is time-consuming and error-prone. In ... -
Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition
(The American Society of Mechanical Engineers (ASME), 2023)In machining simulations, dexel models are often used to represent objects to achieve high accuracy and real-time performance. However, this approach leads to the loss of original surface information and topological ... -
An Automated Approach for Segmenting Numerical Control Data With Controller Data for Machine Tools
(The American Society of Mechanical Engineers (ASME), 2023)Developing a more automated industrial digital thread is vital to realize the smart manufacturing and industry 4.0 vision. The digital thread allows for efficient sharing across product lifecycle stages. Current techniques ... -
A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection
(The American Society of Mechanical Engineers (ASME), 2023)The self-pierce riveting process for alloy materials has a wide range of applications in the automotive manufacturing industry. This will not only affect the operation performance but also cause accidents in severe cases ... -
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics
(The American Society of Mechanical Engineers (ASME), 2024)Advancements in computing power have recently made it possible to utilize machine learning and deep learning to push scientific computing forward in a range of disciplines, such as fluid mechanics, solid mechanics, materials ...