S
Samuel Frimpong
Researcher at Missouri University of Science and Technology
Publications - 117
Citations - 1028
Samuel Frimpong is an academic researcher from Missouri University of Science and Technology. The author has contributed to research in topics: Shovel & Haulage. The author has an hindex of 15, co-authored 113 publications receiving 832 citations. Previous affiliations of Samuel Frimpong include Kumasi Polytechnic & University of Mines and Technology.
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Journal ArticleDOI
Cable shovel digging optimization for energy efficiency
TL;DR: In this paper, the optimal crowd arm and hoist rope speeds for given initial conditions, material properties and uncertain bulk densities were found to be 0.1795 and 0.2428 kJ-s/kg.
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Mechanics of Cable Shovel-Formation Interactions in Surface Mining Excavations
TL;DR: In this paper, an intelligent shovel excavation (ISE) technology with real-time formation identification, recording, and knowledge transmission capabilities is proposed to solve the variability of material diggability, resulting in varying mechanical energy input and stress loading.
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Dietary exposure to chlorinated pesticide residues in fruits and vegetables from Ghanaian markets
Crentsil Kofi Bempah,Akwasi Akomeah Agyekum,Felicia Akuamoa,Samuel Frimpong,Achibold Buah-Kwofie +4 more
TL;DR: Estimation of dietary intake of pesticides from fruit and vegetables revealed that, pesticides detected in fruits and vegetables did not cause dietary intake risks, and the need for regular monitoring for pesticide residues of a greater number of samples for long periods, especially in fruit and vegetable, to protect consumers’ health is recommended.
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Artificial Intelligence, Machine Learning and Process Automation: Existing Knowledge Frontier and Way Forward for Mining Sector
Danish Ali,Samuel Frimpong +1 more
TL;DR: This study was an attempt to review and analyze all the recent automation related work in every sector of the mining industry including mineral prospecting and exploration, mine planning, equipment selection, underground and surface equipment operation, drilling and blasting, mineral processing, etc., for establishing the existing frontiers of technological advancement.
Journal Article
A stochastic simulation framework for truck and shovel selection and sizing in open pit mines
TL;DR: In this article, a stochastic simulation framework for the selection and sizing of a truck-shovel system in open pit mines is presented. But the authors do not consider the impact of the size and geometry of the equipment on the performance of the system.