The effect of ammonia co-firing on NO heterogeneous reduction in the high-temperature reduction zone of coal air-staging combustion: Experimental and quantum chemistry study

2022 ◽  
Vol 237 ◽  
pp. 111857
Author(s):  
Ping Chen ◽  
Yao Fang ◽  
Peipei Wang ◽  
Mingyan Gu ◽  
Kun Luo ◽  
...  
Keyword(s):  
High Temperature ◽  
Quantum Chemistry ◽  
Reduction Zone ◽  
Temperature Reduction ◽  
Heterogeneous Reduction ◽  
Air Staging

Deformation Behavior and Constitutive Equation of 42CrMo Steel at High Temperature

Metals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1614
Author(s):  
Hongqiang Liu ◽  
Zhicheng Cheng ◽  
Wei Yu ◽  
Gaotian Wang ◽  
Jie Zhou ◽  
...  
Keyword(s):  
High Temperature ◽  
Flow Stress ◽  
Strain Rate ◽  
Thermal Processing ◽  
Deformation Behavior ◽  
Reduction Process ◽  
Ann Model ◽  
Forming Process ◽  
Temperature Reduction ◽  
42Crmo Steel

High-temperature reduction pretreatment (HTRP) is a process that can significantly improve the core quality of a billet. The existing flow stress data cannot meet the needs of simulation due to lack of high temperature data. To obtain the hot forming process parameters for the high-temperature reduction pretreatment process of 42CrMo steel, a hot compression experiment of 42CrMo steel was conducted on Gleeble-3500 thermal-mechanical at 1200–1350 °C with the rates of deformation 0.001–10 s−1 and the deformation of 60%, and its deformation behavior at elevated temperature was studied. In this study, the effects of flow stress temperature and strain rate on austenite grain were investigated. Moreover, two typical constitutive models were employed to describe the flow stress, namely the Arrhenius constitutive model of strain compensation and back propagation artificial neural network (BP ANN) model. The performance evaluation shows that BP ANN model has high accuracy and stability to predict the curve. The thermal processing maps under strains of 0.1, 0.2, 0.3, and 0.4 were established. Based on the analysis of the thermal processing map, the optimal high reduction process parameter range of 42CrMo is obtained: the temperature range is 1250–1350 °C, and the strain rate range is 0.01–1 s−1.

Size-Controlled Synthesis of Gold Nanoparticles via High-Temperature Reduction

Langmuir ◽  
2004 ◽  
Vol 20 (8) ◽  
pp. 3021-3023 ◽  
Author(s):  
David A. Fleming ◽  
Mary Elizabeth Williams
Keyword(s):  
Gold Nanoparticles ◽  
High Temperature ◽  
Controlled Synthesis ◽  
Temperature Reduction ◽  
Size Controlled

High‐Temperature Reduction of Calcium Alginate to Carbon Sphere for Efficient Removal of Bivalent Cadmium

2019 ◽  
Vol 4 (31) ◽  
pp. 9058-9064 ◽  
Author(s):  
Yalin Cheng ◽  
Kaiqian Wang ◽  
Biyang Tu ◽  
Yang Xia ◽  
Jiaqian Zhang ◽  
...  
Keyword(s):  
High Temperature ◽  
Calcium Alginate ◽  
Carbon Sphere ◽  
Efficient Removal ◽  
Temperature Reduction

scholarly journals Review and data evaluation for high-temperature reduction of iron oxide particles in suspension

2019 ◽  
Vol 47 (7) ◽  
pp. 741-747 ◽  
Author(s):  
Zhiyuan Chen ◽  
Christiaan Zeilstra ◽  
Jan van der Stel ◽  
Jilt Sietsma ◽  
Yongxiang Yang
Keyword(s):  
High Temperature ◽  
Iron Oxide ◽  
Data Evaluation ◽  
Iron Oxide Particles ◽  
Temperature Reduction ◽  
Reduction Of Iron ◽  
Oxide Particles

Preparation of a silver nanoparticle-based dual-functional sensor using a complexation–reduction method

2015 ◽  
Vol 17 (33) ◽  
pp. 21243-21253 ◽  
Author(s):  
Fwu-Long Mi ◽  
Shao-Jung Wu ◽  
Wen-Qi Zhong ◽  
Cheng-Yu Huang
Keyword(s):  
Silver Nanoparticles ◽  
High Temperature ◽  
Low Temperature ◽  
Silver Nanoparticle ◽  
Reduction Method ◽  
Ag Nps ◽  
Two Stage ◽  
Temperature Reduction ◽  
Dual Functional

A dual-functional sensor based on silver nanoparticles was synthesized by a two-stage procedure consisting of a low-temperature chitosan–Ag+ complexation followed by a high-temperature reduction of the complex to form chitosan-capped silver nanoparticles (CS-capped Ag NPs).

Sign in / Sign up

Export Citation Format

Share Document