M
Mohammad Reza Khalesi
Researcher at Tarbiat Modares University
Publications - 34
Citations - 399
Mohammad Reza Khalesi is an academic researcher from Tarbiat Modares University. The author has contributed to research in topics: Bubble & Leaching (metallurgy). The author has an hindex of 8, co-authored 34 publications receiving 288 citations. Previous affiliations of Mohammad Reza Khalesi include Laval University.
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Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
TL;DR: Considering the robustness of artificial intelligence methods utilized in engineering problems, an artificial neural network was applied to predict rock fragmentation and back-break; an artificial bee colony (ABC) algorithm was also utilized to optimize the blasting pattern parameters.
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Ammonia Leaching: A New Approach of Copper Industry in Hydrometallurgical Processes
Vahid Radmehr,Seyed Mohammad Javad Koleini,Mohammad Reza Khalesi,Mohammad Reza Tavakoli Mohammadi +3 more
TL;DR: Ammonia and ammonium salts have been recognized as effective leaching agents in hydrometallurgical processes due to low toxicity and cost, easy recovery and high selective recovery of metals as mentioned in this paper.
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Bubble loading measurement in a continuous flotation column
TL;DR: In this paper, a new instrument for measuring the bubble loading in flotation column with the ability to generate the uniform size bubbles is introduced, which makes it possible to study the effect of bubble size on bubble loading.
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Interactional effects of bubble size, particle size, and collector dosage on bubble loading in column flotation
TL;DR: In this paper, the effects of particle size, bubble size, and collector dosage on the bubble loading in a continuous flotation column were investigated, and it was shown that the mass loading of air bubbles was strongly related to the collector dosage (contact angle), especially for coarse particles.
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Predicting Cyanide Consumption in Gold Leaching: A Kinetic and Thermodynamic Modeling Approach
Yaser Kianinia,Mohammad Reza Khalesi,Mahmoud Abdollahy,Glenn Hefter,Gamini Senanayake,Lubomir Hnedkovsky,Ahmad Khodadadi Darban,Marjan Shahbazi +7 more
TL;DR: In this article, a robust methodology to estimate leaching cyanide consumption due to oxidation and reactions with gold, chalcopyrite and pyrite minerals forming various cyanide complexes, cyanate, thiocyanate and hydroxide precipitates of copper and iron.