What is he best known for?
The fields of study he is best known for:
- Statistics
- Mechanical engineering
- Artificial intelligence
His primary areas of study are Blast furnace, Genetic algorithm, Artificial neural network, Multi-objective optimization and Mathematical optimization.
His Blast furnace study combines topics in areas such as Data mining, Waste management, Steel mill and Process engineering.
His studies examine the connections between Waste management and genetics, as well as such issues in Steelmaking, with regards to Carbon dioxide.
Henrik Saxén has researched Genetic algorithm in several fields, including Evolutionary computation, Pareto principle, Biological system and Evolutionary algorithm.
Henrik Saxén is interested in Feedforward neural network, which is a field of Artificial neural network.
His Mathematical optimization research is multidisciplinary, incorporating elements of Simulation and Relevance.
His most cited work include:
- A genetic algorithms based multi-objective neural net applied to noisy blast furnace data (203 citations)
- Nonlinear Prediction of the Hot Metal Silicon Content in the Blast Furnace (81 citations)
- Experimental and DEM study of segregation of ternary size particles in a blast furnace top bunker model (75 citations)
What are the main themes of his work throughout his whole career to date?
Henrik Saxén mainly focuses on Blast furnace, Artificial neural network, Metallurgy, Coke and Hearth.
His Blast furnace research incorporates themes from Discrete element method, Mechanics, Waste management, Slag and Mineralogy.
His work is dedicated to discovering how Waste management, Steelmaking are connected with Steel mill and other disciplines.
His work deals with themes such as Genetic algorithm, Mathematical optimization and Data mining, which intersect with Artificial neural network.
His studies in Coke integrate themes in fields like Nuclear engineering and Basic oxygen steelmaking.
His Feedforward neural network research includes themes of Time delay neural network and Nonlinear system.
He most often published in these fields:
- Blast furnace (46.33%)
- Artificial neural network (23.55%)
- Metallurgy (19.69%)
What were the highlights of his more recent work (between 2017-2021)?
- Blast furnace (46.33%)
- Metallurgy (19.69%)
- Hearth (11.58%)
In recent papers he was focusing on the following fields of study:
Henrik Saxén spends much of his time researching Blast furnace, Metallurgy, Hearth, Discrete element method and Slag.
His Blast furnace research includes elements of Nuclear engineering, Coke and Image, Computer vision, Artificial intelligence.
In general Metallurgy, his work in Chromium, Microstructure and Leaching is often linked to Off line linking many areas of study.
His research investigates the connection between Hearth and topics such as Mining engineering that intersect with problems in Principal component analysis.
The Discrete element method study combines topics in areas such as Porosity, Pellet, Mass fraction, Flow and Angle of repose.
His Slag study integrates concerns from other disciplines, such as Carbon capture and storage, Carbonation and Steelmaking.
Between 2017 and 2021, his most popular works were:
- Optimization of a small-scale LNG supply chain (25 citations)
- Recovery of chromium from residue of sulfuric acid leaching of chromite (14 citations)
- Shear-Force Based Stainless Steel Slag Modification for Chromium Immobilization (13 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Mechanical engineering
- Artificial intelligence
Henrik Saxén mainly investigates Metallurgy, Chromium, Blast furnace, Angle of repose and Discrete element method.
His Chromium research integrates issues from Slag, Spinel and Decomposition.
Henrik Saxén integrates Blast furnace and Off line in his research.
Henrik Saxén interconnects Conical surface, Pile and Rolling resistance in the investigation of issues within Angle of repose.
He combines subjects such as Mechanics and Shear modulus with his study of Rolling resistance.
The study incorporates disciplines such as Pollutant, Ammonium, Steelmaking, Magnesium and Anhydrous in addition to Leaching.
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