Bin Zhang

ORCID: 0000-0003-0432-5200
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About
Contact & Profiles
Research Areas
  • Combustion and Detonation Processes
  • Fire dynamics and safety research
  • Wind and Air Flow Studies
  • Risk and Safety Analysis
  • Aluminum Alloy Microstructure Properties
  • Occupational Health and Safety Research
  • Aluminum Alloys Composites Properties
  • Criminal Law and Evidence
  • Fire effects on ecosystems
  • Flame retardant materials and properties
  • Catalytic Processes in Materials Science
  • Combustion and flame dynamics
  • Mineral Processing and Grinding
  • Oil Spill Detection and Mitigation
  • Thermal and Kinetic Analysis
  • Advanced Combustion Engine Technologies
  • Particle accelerators and beam dynamics
  • Fault Detection and Control Systems
  • Electrocatalysts for Energy Conversion
  • Metallurgy and Material Forming
  • Ideological and Political Education
  • Methane Hydrates and Related Phenomena
  • Nuclear Engineering Thermal-Hydraulics
  • Energetic Materials and Combustion
  • Icing and De-icing Technologies

Chongqing University
2024

Nanjing Tech University
2018-2024

Xinjiang University
2024

Wuhan University
2024

City University of Hong Kong
2024

Anhui University of Finance and Economics
2004-2022

China Academy of Space Technology
2022

Camp Fire Inland Northwest
2021

Henan University
2007-2020

Texas A&M University System
2014-2018

Conventional Al–Ti–B and Al–Ti–C refiners fail to refine Al–Si casting alloys with high Si content due the well-known "Si-poisoning" effect. Developing a novel grain refiner superior refinement efficiency for is research focus in recent years. In this work, anti Si-poisoning α-Al Al–2La–1B alloy fine LaB6 particles was successfully fabricated via aluminum melt reaction method. The microstructural evolution, performance mechanisms of were comprehensively investigated based on experiment...

10.1016/j.jmrt.2024.03.070 article EN cc-by-nc Journal of Materials Research and Technology 2024-03-12

10.1016/j.jlp.2018.07.005 article EN Journal of Loss Prevention in the Process Industries 2018-07-07

Jet fires are one of the major hazards in oil and gas industry, half reported jet caused a domino effect that enlarged incident. Previous work with propane focused on vertical fires. In this work, both horizontal were studied through 21 tests conducted at Brayton Fire Training Field. The sustained by either vapor or liquid propane. visualization flames using video infrared cameras identified cylindrical shape was good description For fires, correlation developed for radiation against...

10.1021/acs.iecr.5b02064 article EN Industrial & Engineering Chemistry Research 2015-09-08

10.1016/j.jlp.2022.104954 article EN Journal of Loss Prevention in the Process Industries 2022-12-15

Abstract This study uses CFD software to analyze the flame length, temperature, and hazardous area of high-pressure hydrogen jet fires influenced by barrier walls. ANSYS Fluent was employed develop a physical model for fires, utilizing standard k-ε turbulence eddy dissipation concept combustion model. Numerical simulations were conducted based on fire experiments Proust, Schefer, others. The simulation results, including shape, size, validated against experimental data, confirming model’s...

10.1088/1742-6596/3013/1/012004 article EN Journal of Physics Conference Series 2025-05-01

Carbon nanotube field-effect transistor (CNTFET) electronic synapses is of great potential for brain-like neuromorphic computing thanks their low power consumption. However, the modulation diverse biological synaptic plasticity CNTFET...

10.1039/d5tc00252d article EN Journal of Materials Chemistry C 2025-01-01

This study aims to determine several key parameters of a liquefied natural gas (LNG) pool fire on land through field test. The mass burning rate was 0.186 kg/(m2 s) using the thermocouple method. Through analysis high-speed camera images, puffing frequencies 0.53 and 0.69 Hz were determined for two consecutive oscillations flame. flame tilt found be 58°, length estimated as 25.4 m. velocity first studied an LNG test camera, maximum approximately 6 m/s at center solid model predicted well...

10.1021/acs.iecr.8b02087 article EN Industrial & Engineering Chemistry Research 2018-09-26

Abstract In the era of Industry 4.0, substantial research has been devoted to field fault detection and diagnosis (FDD), which plays a critical role in preventive maintenance large chemical processes. However, existing studies are primarily focused on few‐shot samples process data without considering activation functions temporal diagnostic tasks. this paper, an end‐to‐end framework that combines bidirectional long short‐term memory (LSTM) with attention mechanism is proposed. preprocessing...

10.1002/cjce.25460 article EN The Canadian Journal of Chemical Engineering 2024-08-20
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