RESUMO
The data contained in this article was acquired from the automatic gauge control system for a steel cold rolling mill production line in Nigeria. Accuracy is the one of the most important indices of productivity during a milling process. A total of 486 data points were obtained from selected feedback sensors located on the rolling mill machine via the control panel Human Machine Interface (HMI). The selected rolling parameters were gathered at different time intervals for different sample coils strips during the different milling stages. The data shows parameters such as actual thickness measured, x-ray gauge temperature, mill speed at both entry and exit and the mill power. This dataset could be used to analyze and improve the accuracy of the Automatic gauge control system and reduction in error in thickness variation.
RESUMO
The effects of temperature and time variances on nano-additives treatment of mild steel during machining was presented in this study. Mild steel of 150â¯kg mass containing 0.56% carbon was charged into the furnace at melting and pouring temperature of 1539 and 1545⯰C respectively. Also charged into the furnace with the mild steel were 0.05% max phosphorous and a bit of sulphur. Thereafter, the sample was cooled and annealed at a temperature of 900⯰C for 9â¯h and then cooled to 300⯰C of hardening, normalizing and tempering respectively. The treated samples were then soaked with pulverized in palm kernel shell and barium carbonate (20%) energizer at respective temperatures (800, 850, 900 and 950⯰C) and time variances (60, 90 and 120â¯min) in a muffle furnace. The developed tool was tested on a lathe machine to evaluate its performance. The surface and core hardness, wear resistance and toughness were carried out using the hardness tester, Rotopol-V and impact tester respectively. This is essential for predicting the useful life of the tool in service.
RESUMO
Investigation of optimum carburizing temperature and holding time on bi- nano additives treatment of AISI 5130 steel was presented in this study. AISI 5130 steel of 100â¯kg mass of 0.35% carbon content was buried in pulverized additives consisting of palm kernel and coconut shell using eggshell as an energizer. Four sets of 150×150×150â¯mm3 steel boxes packed with additives mixed at varying weight ratio of 50: 30:20 and sixty-four pieces of 20×20×5â¯mm3 AISI 5130 steel were case hardened using muffle furnace (2500⯰C max capacity) at respective temperatures and time of 950, 1000, 1050, 1100⯰C and 60, 90, 120, 180â¯min. The core, interface and surface hardness of the treated samples with their respective weight loss, wear volume and rate were investigated. This dataset could be used in nano-composite match mixed ratio and optimization of carburizing medium and time for any industrial used case hardened steel.