Results 91 to 100 of about 324,360 (304)
A Proof-of-Concept for Parameter Manipulation in TRIZ: Automotive Case Stud
This paper provides a proof-of-concept for using the Theory of Inventive Problem Solving (TRIZ) methodologies, focusing on parameter deployment and manipulation to solve physical contradictions in automotive seat design.
Altun, Koray
core +1 more source
A Perspective on the Applications of Triphasic Gas Storage in Electrochemical Systems
Gas storage in microporous materials positioned locally at an electrode or electrocatalyst surface enhances electrochemical processes. Abstract Microporous materials store gases under dry conditions (e.g., hydrogen or oxygen via physisorption), but in some cases microporous materials also show triphasic (e.g., in a solid|gas|liquid system) gas storage ...
Zhongkai Li +9 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Investigation of Mechanical Tests for Hydrogen Embrittlement in Automotive PHS Steels
The problem of hydrogen embrittlement in ultra-high-strength steels is well known. In this study, slow strain rate, four-point bending, and permeation tests were performed with the aim of characterizing innovative materials with an ultimate tensile ...
Renzo Valentini +4 more
doaj +1 more source
Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao +9 more
wiley +1 more source
VHDL-AMS modeling of an automotive vibration isolation seating system
This paper presents VHDL-AMS model of an automotive vibration isolation seating system with an active electromechanical actuator. Five control algorithms for the actuator are implemented and their efficiencies are investigated by subjecting the system to
Wang, Leran, Kazmierski, Tom
core +1 more source
First‐principles calculations reveal that monolayer In2O${\rm In}_2{\rm O}$ hosts type‐II Dirac fermions near the Fermi level, which split into Weyl points under spin‐orbit coupling. The material exhibits negative and giant magnetoresistance, a pronounced spin Hall effect, and phonon‐mediated superconductivity at 1.5 K, establishing it as a unique ...
Qing‐Bo Liu +6 more
wiley +1 more source
Transition to paperless forwarding at Valmet Automotive [PDF]
The objective for this thesis was to determine the possibilities for electronic forwarding process at Valmet Automotive Uusikaupunki. The purpose was to map out whether or not it would be possible to make the transition in the current situation or what ...
Vuorio, Anna
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Wireless communication and sensing applications seek higher frequencies to enable higher data rates or more precise localization using a wider modulation bandwidth. Particularly, 6G and autonomous driving research projects focus on the D-band.
Jonathan Bott +2 more
doaj +1 more source

