This paper reports on the results of an investigation to minimize and control the distribution of porosity in edge-gated copper rotor die castings. A Flow 3-D computer modeling exercise was used to simulate shot profiles that result in formation of large pores in the end rings, as well as to predict improved profiles that will reduce or eliminate the residual porosity. These model results were ...

The aim of the work was to evaluate the influence of the temperature of investment healting on the tensile strength and Vickers hardness of CP Ti and Ti-6Al-4V alloy casting. Were obtained for the tensile strength test dumbbell rods that were invested in the Rematitan Plus investment and casting in the Discovery machine cast. Thirty specimens were obtained, fifteen to the CP Titanium and fiftee...

Mechanical properties are the attributes that measure the faculty of a metal to withstand several loads and tensions. In particular, ultimate tensile strength is the force a material can resist until it breaks. This property is one of the variables to control in the foundry process. The only way to examine this feature is to apply destructive inspections that make the casting invalid with the s...

A two-dimensional heat transfer model for transient simulation and control of a continuous steel slab caster is described. Slab thermal and solidification conditions are computed by the model as a function of time-varying casting speed, secondary spray cooling water flow rates and temperature, slab thickness, steel chemistry, and pouring and ambient temperatures. A solidification model that inc...

It is shown that during developing continuous casting technology, it necessary to solve a number of tasks related finding the optimal technology option, creating special equipment expand range cast blanks and calculating parameters. The profile, dimensions material determine method choice installation type. Designs most important components mechanisms are being developed for selected type insta...

A slab quality prediction model based on machine learning plays an important role in improving final quality. However, the class imbalance of continuous casting datasets has a negative impact training basic machine-learning models. In this study, weighted extreme (WELM) models are constructed to predict under different operation patterns by feeding millions data. The results show that WELM can ...

The development of new technologies has confronted the entire domain of science and industry with issues of big data's scalability as well as its integration with the purpose of forecasting analytics in its life cycle. In predictive analytics, the forecast of near-future and recent past - or in other words, the now-casting - is the continuous study of real-time events and constantly updated whe...