BOOK REVIEWS: A Dictionary of Applied Chemistry; Methods for the Analyses of Iron and Steel, Used in Laboratories of the American Rolling Mill Co., Middletown, Ohio; Coal, its Composition, Analysis, Utilization and Valuation; Electroplating; Food Inspection and Analysis.

1913 ◽  
Vol 5 (7) ◽  
pp. 620-621
2018 ◽  
Vol 170 ◽  
pp. 03011 ◽  
Author(s):  
Viktor Artiukh ◽  
Vladlen Mazur ◽  
Sergey Kargin ◽  
Nikolay Bushuev

Necessity and reasonability to use gapless connection between contact surfaces of lining straps of work rolls chocks and facing strips of housings (inner lining straps of back-up rolls chocks) to reduce dynamic horizontal forces during rolling and increase durability of equipment are considered. Technical solution is described on base of roughing reversing rolling stand of thick sheet rolling mill 3000 of PJSC ‘ILYICH iron and steel works’ (Mariupol city, Ukraine) which can be used on most heavy loaded sheet and tube rolling mills.


SIMULATION ◽  
1972 ◽  
Vol 18 (6) ◽  
pp. 207-214 ◽  
Author(s):  
Said Ashour ◽  
S.G. Bindingnavle

While attention in the iron and steel industry has been focused on the study and analysis of the flow of materials through the main productive units (blast furnaces, steel works, and rolling mills), the analysis of this flow through the nonproductive units (the mixer and soaking pits) is generally over looked. These two units would create serious bottle necks in production if their capacities were not properly determined before being installed. This paper considers the soaking-pit/rolling-mill complex as a queueing system in which the soaking pits are viewed as units circulating a cyclic queue, and the rolling mill as the service station. A simulation model representing the pit-mill system is developed: (1) To predict the improvement in the capacity of the system through adding more pits (2) To predict the effect of breakdowns and mainte nance or the shutdown of a pit. Several criteria, including their economic aspects, are used to measure the performance of the system. The optimal capacity of the system is determined such that an economic balance between the cost of service and the cost of waiting for that service is achieved.


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