Journal of Mechanical Design: Recent submissions
Now showing items 61-80 of 6182
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GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. This article introduces generative uncertainty learning via self-supervised pretraining and transfer learning (GUST), a framework for quantifying free-form geometric uncertainties inherent in the manufacturing ... -
Materials Discovery Using Uncertainty-Aware Constrained Bayesian Optimization With Representation Learning of High-Dimensional Inputs
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. High-dimensional structure and composition spaces pose a fundamental challenge in materials discovery due to the lack of efficient approaches for navigating the vast and complex design space. Although machine ... -
Design of Transmission Networks for Enhanced Resilience Under Stochastic Disruption Scenarios Using Graph Generative Models
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Complex systems such as power networks undergo various operational situations that result in intricate interactions between system components. Although maintaining standard operations of these complex systems is ... -
Simultaneous Calibration of an Arbitrary Number of Multiresponse Computer Models
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In an increasing number of applications, designers have access to multiple computer models that typically have different levels of fidelity and cost. Traditionally, designers calibrate these models one at a time ... -
A Population-Based Model Bias Correction Framework Using Federated Learning for Simulation Models of Nonlinear Dynamic Systems
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Model uncertainty quantification is essential for enhancing the validity of simulations of nonlinear dynamic systems. However, its effectiveness may be significantly affected when experimental or monitoring data ... -
Trustworthy Uncertainty Quantification Via Distributionally-Robust Dual Adaptive Conformal Prediction
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Uncertainty quantification (UQ) plays a vital role in ensuring reliable and consistent decision-making, especially in emerging domains, such as interactive, data-driven modeling, and simulation for digital twins, ... -
Uncertainty-Aware Digital Twins: Robust Model Predictive Control Using Time-Series Deep Quantile Learning
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Digital twins, virtual replicas of physical systems that enable real-time monitoring, model updates, predictions, and decision-making, present novel avenues for proactive control strategies for autonomous systems. ... -
Neural Network Surrogate Modeling for Stochastic Finite Element Method Using Three-Dimensional Graph Representations: A Comparative Study
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Modern engineering design increasingly relies on probabilistic simulation to account for uncertainties in geometry and loading conditions. The stochastic finite element method (SFEM) has become standard as a way ... -
Adaptive Learning of Design Policies Over Nonhierarchical Multi-Fidelity Models Guided by Policy Alignment
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Multifidelity reinforcement learning (RL) frameworks significantly enhance the efficiency of engineering design by leveraging analysis models with varying levels of accuracy and computational costs. The prevailing ... -
CH-WGAN: Uncertainty-Aware Generative Design of Three-Dimensional Aperiodic Architected Cellular Materials Via Signed Distance Fields
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Metamaterial design (via architected cellular units) has evolved from patterning in a regular, periodic fashion to a random, aperiodic style to broaden the spectrum of the property space. While periodic designs ... -
Hybrid Entropy–Uncertainty Data Acquisition for Global Metamodeling
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. An adaptive sampling acquisition criterion is developed to improve global surrogate model accuracy for computationally expensive engineering simulations using Gaussian process (GP) regression. The proposed approach ... -
Design of Chuck-Type Docking Mechanism Based on the Archimedean Spiral
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In response to the demand for rapid and stable docking and separation of unmanned ground vehicles during specific tasks, a single-drive chuck-type docking mechanism based on the Archimedean spiral is proposed. ... -
Design and Examination of Compound Planetary Gearboxes to Investigate the Impact of 3D-Printed Embedded Bearings for Assistive Exoskeletons Actuators
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. In robotic systems such as wearable exoskeletons, lightweight, efficient, and backdrivable reduction gearboxes are critical for achieving low-output impedance actuators and safe physical human–robot interaction. ... -
A Novel 3-PU(R)U Dual-Mode Parallel Mechanism: Design, Optimization, and Experimental Validation
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. This article introduces a novel three-degree-of-freedom (3-DOF) dual-mode parallel manipulator (DMPM) capable of switching between 2R1T (2-DOF rotation and 1-DOF translation) and 3T (3-DOF translation) motion ... -
Configuration Design and Analysis of a Novel Swing-Translation Hybrid Correction Mechanism
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. To address the challenge of trajectory deviation during automated tape laying (ATL) on variable-curvature inclined surfaces in aerospace applications, and to overcome the limitations of existing correction ... -
A Novel Design Concept for Energy-Efficient Manipulators Based on Straight-Line Linkages
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Minimizing the energy consumption of robot manipulators is essential to address both environmental and economic challenges. This study introduces a novel design concept for manipulators that reduces energy use ... -
A Deep Learning-Based Approach for System Modeling of a Novel Cable-Driven Parallel Robot
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Cable-driven parallel robots (CDPRs) drive the end-effector through cables, offering advantages such as low inertia and high payload-to-weight ratio, which make them highly promising for applications in industrial ... -
Systematic Architecture Generation for the Design of Aircraft Propulsive Systems
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. Sustainability objectives in the aeronautical industry push companies toward novel aircraft propulsive systems (e.g., hybrid electric or hydrogen-based). Coupled with reliability constraints for certification, ... -
Representation Learning of Problem-Solving Behavior in Virtual Reality Manufacturing Environment Using Long Short-Term Memory Networks
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The number of manufacturing jobs in the US has been consistently increasing, driven by a rapidly evolving industrial landscape and the implementation of a new strategic plan. At the same time, concerns have emerged ... -
Reliability-Based Design of Additively Manufactured Michell Structures for Aerospace Certification
(The American Society of Mechanical Engineers (ASME), 2026)Abstract. The widespread adoption of additive manufacturing (AM) in safety-critical aerospace structures is hindered by process-induced variability and the limitations of traditional deterministic certification methods. ...