作者: A. Navarra , G. Lemoine , N. Zaroubi , T. Marin
DOI: 10.1007/978-3-319-95022-8_22
关键词: Upstream (networking) 、 Process engineering 、 Discrete dynamics 、 Bottleneck 、 Smelting 、 Environmental science 、 Discrete event simulation 、 Throughput (business) 、 Random number generation 、 Copper
摘要: Peirce-Smith converting (PSC) is applied for roughly 50% of primary nickel and 70% copper production. PSC cycles produce batches iron-free sulfide matte (or blister copper, in the case smelters), that are subject to further processing. However, number can be performed simultaneously limited by offgas handling system. Moreover, suffers from variation yield duration cycles. This managed conventional smelter designs, which upstream smelting capacity exceeds nominal capacity; thus a major bottleneck smelters. Stabilization standardization operations therefore increase throughput. The current paper presents discrete event simulation (DES) framework assist debottlenecking. It features random generation represent cycle variability, time-adaptive finite differences thermochemical complexity. Preliminary computations presented.