Results 51 to 60 of about 2,805,916 (243)

Evolution Law of Microstructure and Properties during Hot-rolling Process of Ultra-high-strength 92Si Wire Rod for Bridge Cables [PDF]

Teshugang
According to the evolution law of microstructure and properties during the entire hot rolling process of ultra-high strength 92Si wire rod， methods such as mechanical property testing and microstructure characterization were used to analyze the ...
Li　Yang, Liu　Jinyuan, Xu　Kai, Chen　Dianqing, Pan　Xiaokun, Zhang　Chaolei
doaj   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source

Practical Application and Progress of CO2-CO Recycling in Steel Chemical Co-Production

能源环境保护
The steel industry is one of the most energy-intensive and carbon-emitting sectors worldwide, significantly contributing to environmental challenges. As the world shifts toward more sustainable and eco-friendly industrial practices, there is increasing ...
Chao FENG, Mingwei TU, Rong ZHU, Tianfu ZHANG, Tao LIN, Xiaodong WANG   +5 more
doaj   +1 more source

Effect of V–Ti multi-microalloying on enhancing hydrogen embrittlement resistance in hot-stamping steel

Journal of Materials Research and Technology
Hydrogen embrittlement (HE) has become a significant concern that limits the usage of ultra-high strength hot-stamping steel. In this work, the utilization of a novel approach employing V–Ti multi-microalloying has yielded substantial improvements in the
Mengjie Gao, Zhuo Cheng, Linshuo Dong, Shuize Wang, Yuhe Huang, Xinping Mao   +5 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Effect of trace niobium on the microstructure and properties of full-pearlite steel used in the high-strength hypereutectoid wire rods

Journal of Materials Research and Technology
The present study investigated the impact of 20–80 ppm Nb on the microstructure and properties of hypereutectoid pearlite steel. Remarkably, even trace amounts of Nb exhibited a favorable effect on the refinement of austenite grain.
Xiaokun Pan, Jincheng Li, Chaolei Zhang, Xinping Mao, Wenjun Wang, Shuize Wang, Guilin Wu, Junheng Gao, Honghui Wu, Haitao Zhao   +9 more
doaj   +1 more source

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

A machine learning‐based crystal graph network and its application in development of functional materials

Materials Genome Engineering Advances
An active area of MGI (Materials Genome Initiative)/MGE (Materials Genome Engineering) is to accelerate the development of new materials by means of active learning and “digital trial‐error” using a prediction model of material property. Machine learning
Gang Xu, You Xue, Xiaoxiao Geng, Xinmei Hou, Jinwu Xu   +4 more
doaj   +1 more source

Effect of Heat Treatment Temperature on the Microstructure and Mechanical Properties of Fe-18Mn-0.6C-xAl

Metals
High-Mn steels are commonly fabricated by hot rolling and on-line cooling for cryogenic applications, because there exists an aging embrittlement zone in most high-Mn steels, and this shortcoming makes it difficult to optimize their mechanical properties
Li Xiao, Yuqi Zhang, Huan Huang, Bochao Zhang, Ningning Ji, Shuang Li, Jun Chen   +6 more
doaj   +1 more source

Distinct Microstructural Characteristic Lengths Defining Notch Fatigue Crack Initiation and Propagation, and Defect Tolerance in Advanced Steels

Advanced Engineering Materials, EarlyView.
Schematic representation of modes of microcrack nucleation, growth and temporary arrestment at different boundaries, with the criteria for crack propagation in three scenarios: (1) large notch, (2) defect/small sharp notch, and (3) long crack. This work revisits and integrates results on the fatigue behavior of advanced bainitic steels (in particular ...
Lucia Morales‐Rivas
wiley   +1 more source