YaBeSH Digital Library: Recent submissions
Now showing items 1181-1200 of 316660
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Multilayer Network Change Model for Identifying Affected Manufacturing Entities in the Mechanical Design
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Engineering changes are inevitable in product design, especially during the development of complex products, where they often affect multiple-domain engineering entities. Traditional single-domain change models ... -
Fault Diagnosis of Hydraulic Systems With an Improved Transition Matrix Hierarchical Network Subject to Multimodal Fusion
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. To accurately address fault diagnosis problems in hydraulic systems for aerospace component testing, computational methodologies mainly rely on typical neural network structures to design specific models tailored ... -
Leveling Control of Multi-Cylinder Hydraulic Press: A Deep Reinforcement Learning Approach Based on Integral Compensation and Lyapunov Constraints
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In the field of complex industrial control, the leveling task of multi-cylinder hydraulic presses imposes stringent requirements on control accuracy and system stability. Traditional control methods struggle to ... -
Computing a Sparse Approximate Inverse on Quantum Annealing Machines
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Many engineering problems involve solving large linear systems of equations. Conjugate gradient (CG) is one of the most popular iterative methods for solving such systems. CG typically requires a good preconditioner ... -
In Situ Investigation of the Tool–Particle Interaction During Orthogonal Cutting of SiCp/Al Composite
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Machining of silicon carbide particle-reinforced aluminum matrix (SiCp/Al) composites is challenging due to the complex interactions between the cutting tool and silicon carbide (SiC) particles, which critically ... -
Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction From Sparse Sensor Measurements
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Reconstructing high-fidelity fluid flow fields from sparse sensor measurements is vital for many science and engineering applications but remains challenging because of the dimensional disparities between state ... -
A New Optimal Tolerance Allocation Approach in Gear Transmission Mechanisms Including a Dynamic Model
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Tolerance allocation design of parts for the complex gear transmission system is difficult because of the coupling effect between the deviation propagation of parts in the assembling process and the dynamic ... -
Conductivity Modeling of Intense Pulsed Light Sintered Printed Electronics via Gaussian Process-Enhanced RA-GAN
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Additive manufacturing (AM) techniques, such as inkjet printing (IJP) and aerosol jet printing (AJP), enable the fabrication of high-resolution, customizable printed electronic (PE) devices. However, postprinting ... -
Robust Scheduling Based on Deep Reinforcement Learning for Flexible Job Shop With Machine Breakdown and New Job Arrival
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. With the continuous growth of personalized product demands and the upsurge in new customer orders, the arrival of new jobs and machine breakdowns due to overloading have emerged as common production disturbances, ... -
Concurrent Specification and Selection of Heterogeneous Sensors Using Goal Programming
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Recent advances in wireless networking technologies, the reliable application of fault diagnostic and prognostic techniques, and rapid advances in machine learning algorithms have led to widespread use and benefits ... -
ConceptVis: Exploring and Visualizing Design Concepts With Large Language Models Using Interactive Knowledge Graph
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Large language models (LLMs) are capable of generating cross-domain design knowledge, opening up new possibilities for creating a myriad of design concepts for early-stage design ideation. However, the current ... -
Learning From Accident Reports Using Language Models: Human Errors and Error Mechanisms in Aviation and Railway Accidents
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. New paradigms for human–machine interaction are essential to enabling emerging concepts for aviation operations—from remote pilots to multivehicle operations. With the novelty of these arrangements and the resulting ... -
Toward Smart Manufacturing Metaverse via Digital Twinning in Extended Reality
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. The rapid evolution of modern manufacturing systems is driven by the integration of emerging metaverse technologies, such as artificial intelligence (AI) and digital twin (DT) with different forms of extended ... -
Positioning Multi-Intelligence Agents for Healthcare Enterprises: Toward Evolving Cyber-Physical-Social Systems
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. Healthcare enterprises, including providers, payers, pharmaceutical and biotech firms, medical device manufacturers, health IT companies, regulators, supply chain actors, and hybrid care models, face the complex ... -
Advancements in Kinematic Synthesis: Data-Driven Methods for Mechanism Design
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. This article presents an overview of recent advancements in the field of kinematic synthesis of mechanisms, with a particular emphasis on unified geometric and machine learning-driven approaches. Historically, ... -
Analytical Modeling and Experimental Validation of Gear Churning Loss in Helicopter Transmission Lubrication Systems
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Effective lubrication is essential for the helicopter transmission system to ensure smooth power transfer, reduce friction, and prevent overheating. However, churning loss caused by interactions between lubricating ... -
Physical Artificial Intelligence for Powering the Next Revolution in Robotics
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. Physical artificial intelligence (AI) is driving the next revolution in robotics by grounding perception, action, and cognition within a robot’s physical structure. Unlike traditional systems that rely on disembodied ... -
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic Artificial Intelligence Era
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. Research and practice in intelligent design (ID) have significantly enhanced engineering innovation, efficiency, quality, and productivity over recent decades, fundamentally reshaping how engineering designers ... -
Differentiating Between Digital Twins and Control Systems for Complex Systems
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. In recent years, the digital twin (DT) technology has become the subject of significant excitement as its potential to revolutionize many different industries has become clear. However, excitement around DT has ... -
Extended Reality in Industry and Healthcare: Current Trends and Future Perspectives
(The American Society of Mechanical Engineers (ASME), 2025)Abstract. Extended reality (XR) technologies are no longer peripheral innovations but emerging cornerstones of human–technology interaction across critical sectors. This article takes the position that engineering and ...