Journal of Computing and Information Science in Engineering: Recent submissions
Now showing items 261-280 of 1402
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Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties
(The American Society of Mechanical Engineers (ASME), 2022)The recent COVID19 pandemic reveals the vulnerability of global supply chains: the unforeseen supply crunches and unpredictable variability in customer demands lead to catastrophic disruption to production planning and ... -
Special Issue: Machine Intelligence for Engineering Under Uncertainties
(The American Society of Mechanical Engineers (ASME), 2022)Machine intelligence integrates computation, data, models, and algorithms to solve problems that are too complex for humans. During the last three decades, machine intelligence has been a highly researched topic and widely ... -
A WebBased Collaborative Method for SysML Modeling
(The American Society of Mechanical Engineers (ASME), 2022)Modelbased systems engineering (MBSE) with SysML has become one of the best solutions to the system design of complex systems, which usually requires the collaboration of different disciplines. Webbased collaborative ... -
Supply Chain as a Complex System: Environmental Impact Evaluation and Perception
(The American Society of Mechanical Engineers (ASME), 2022)Customers are aware of the complexity of supply chains and link this to a high environmental burden. However, if not coupled with quantitative results, this may be overestimated. The present paper proposes a general method ... -
My Facts Are not Your Facts: Data Wrangling as a Socially Negotiated Process, A Case Study in a Multisite Manufacturing Company
(The American Society of Mechanical Engineers (ASME), 2022)The condition under which the data wrangling process is undertaken has a profound impact on the quality of the results of the data wrangling and analysis. This paper presents the results of the analysis of the sociotechnical ... -
Ontology NetworkBased InSitu Sensor Selection for Quality Management in Metal Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2022)Metal additive manufacturing (MAM) offers a larger design space with greater manufacturability than traditional manufacturing. Despite continued advances, MAM processes still face huge uncertainty, resulting in variable ... -
STEPNC Process Planning for Powder Bed Fusion Additive Manufacturing
(The American Society of Mechanical Engineers (ASME), 2022)Powder bed fusion (PBF) is an additive manufacturing (AM) technology that uses highpower beams to fuse powder material into layers of scanned patterns, thus producing parts with great geometric complexity. For PBF, the ... -
Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling
(The American Society of Mechanical Engineers (ASME), 2022)The intersection between engineering design, manufacturing, and artificial intelligence offers countless opportunities for breakthrough improvements in how we develop new technology. However, achieving this synergy between ... -
Patent Data for Engineering Design: A Critical Review and Future Directions
(The American Society of Mechanical Engineers (ASME), 2022)Patent data have long been used for engineering design research because of its large and expanding size and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence ... -
Scalability Testing Approach for Internet of Things for Manufacturing SQL and NoSQL Database Latency and Throughput
(The American Society of Mechanical Engineers (ASME), 2022)The proliferation of lowcost sensors and industrial data solutions has continued to push the frontier of manufacturing technology. Machine learning and other advanced statistical techniques stand to provide tremendous ... -
JCISE Editorial Board—Year 2022
(The American Society of Mechanical Engineers (ASME), 2022)The Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to scientific computing methods (e.g., modeling, simulation, representation, and algorithm) and computational tools (e.g., ... -
SuperMeshing: Boosting the Mesh Density of Stress Field in Plane-Strain Problems Using Deep Learning Method
(The American Society of Mechanical Engineers (ASME), 2022)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 ... -
Reflections on Designing in the Wild: How Theories of Design Information Manifest in Practice
(The American Society of Mechanical Engineers (ASME), 2022)Information acquisition, utilization, and communication are integral to the design process, but systematic investigation of information behavior is complicated by its variety and the ways in which designers engage with ... -
Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks
(The American Society of Mechanical Engineers (ASME), 2022)Conditional invertible neural networks (cINNs) were used for generative inverse design of aerodynamic shapes for a given aerodynamic performance target. The methodology was used to generate two-dimensional (2D) airfoil ... -
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals
(The American Society of Mechanical Engineers (ASME), 2022)Additive manufacturing (AM) for metals is rapidly transitioning to an accepted production technology, which has led to increasing demands for data analysis and software tools. The performance of laser-based powder bed ... -
Data-Driven Approaches for Characterization of Aerodynamics on Super High-Speed Elevators
(The American Society of Mechanical Engineers (ASME), 2022)Modeling and characterizing high-dimensional aerodynamic pressures, on the elevator in the hoistway, is very challenging. An accurate model is helpful to understand and analyze the pressure characteristics, which is a vital ... -
A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction
(The American Society of Mechanical Engineers (ASME), 2022)Resistance spot welding (RSW) is applied extensively by automotive manufacturers for assembling the structural and body components of vehicles. The current method of welding quality inspection is off-line inspection after ... -
Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory
(The American Society of Mechanical Engineers (ASME), 2022)In today's highly competitive industrial environment, machine health management systems become a crucial factor for sustainability and success. The traditional feature extraction methods to reveal the health condition of ... -
Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing
(The American Society of Mechanical Engineers (ASME), 2022)Methodologies for failure assessment frequently rely on historical failure modes, causes, and recommendations for prevention. Meanwhile, there are growing databases of narrative-based lessons that are under-utilized due ... -
Predicting the Optimum Performance of a Vertical-Axis Savonius Wind Rotor With Parametric Modeling Using Artificial Neural Network and Golden Section Method
(The American Society of Mechanical Engineers (ASME), 2022)This paper explores the function approximation characteristics of Artificial Neural Network (ANN) by implementing it on the vertical-axis Savonius wind rotor technology. In this regard, a suitable experimental dataset ...