Results 181 to 190 of about 20,451 (264)

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

open access: yesMaterials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li   +8 more
wiley   +1 more source

A Novel Two‐Stage Flexible Flow Shop Batch Scheduling Model for Grinding Workshops

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT The growing need for data storage in data centers has increased the demand for mechanical hard disks due to their low cost and high reliability. Aluminum substrates are the most popular base plates for mechanical hard disks because of their high hardness and low cost.
Jun Xu   +4 more
wiley   +1 more source

Online Rebate Strategy for a Dual‐Channel Supply Chain

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT As online shopping channels become ubiquitous, consumers are faced with a vast number of digital purchasing options. To attract more consumers, many e‐shops utilize cashback websites (CWs) to provide online rebates. This study examines a dual‐channel supply chain, in which the manufacturer sells products through both its own online store and a
Peng Xu, Xuan Zhao, Tiaojun Xiao
wiley   +1 more source

The 2‐D Orthogonal Packing Problem With Multiple Levels of Prioritization: A Spatial Optimization Perspective

open access: yesNaval Research Logistics (NRL), EarlyView.
ABSTRACT This paper addresses two‐dimensional orthogonal packing within a confined space, integrating bin packing principles with facility layout concepts to address scenarios in which items must not only fit but also be arranged according to spatial priorities.
William K. Kirschenman   +4 more
wiley   +1 more source

Suboptimal Model Predictive Control With a Computation Governor: Stability, Recursive Feasibility, and Applications to Alternating Direction Method of Multipliers

open access: yesOptimal Control Applications and Methods, EarlyView.
Computational governor is shown which simultaneously adjusts the reference and adjusts the constraints. ABSTRACT The paper considers a computational governor strategy to facilitate the implementation of Model Predictive Control (MPC) based on inexact optimization when the time available to compute the solution may be insufficient.
Steven van Leeuwen, Ilya Kolmanovsky
wiley   +1 more source

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