Experimental benchmark for casting problems
نویسندگان
چکیده
The problem motivating the current work is a mould filling during casting process. The aim of our analysis is to provide a simple experimental model simulating the main flow characteristics accompanying such process. Hence, the hot fluid is supplied under high pressure into an inclined box. Fluid flows inside the box between two cold isothermal walls, passing obstacles simulating internal complexity of a mould. The main features of a casting process, like a free surface flow and increase of the fluid viscosity followed by solidification, are investigated in the model. Opposite to a real casting, this experimental configuration allows for full control of the experimental conditions and the full field measurements of the temperature and velocity fields. Collection of the quantitative transient data of the flow should allow for verification and validation of the numerical models used for typical casting problems. Our main aim is to create an experimental benchmark for the mould-filling problem.
منابع مشابه
Selected laboratory benchmarks for validating numerical simulation of casting problems
The complicated physical phenomena which occur within solidifying metals during casting processes can not be easily observed. In the present paper the results of laboratory experiments with mould filling and freezing are presented. The experimental benchmarks have been constructed, based on so called analog fluids which are transparent and have well known physical properties: succinonitrile, po...
متن کاملOptimal Scoring for Unsupervised Learning
We are often interested in casting classification and clustering problems as a regression framework, because it is feasible to achieve some statistical properties in this framework by imposing some penalty criteria. In this paper we illustrate optimal scoring, which was originally proposed for performing the Fisher linear discriminant analysis by regression, in the application of unsupervised l...
متن کاملEVALUATING EFFICIENCY OF BIG-BANG BIG-CRUNCH ALGORITHM IN BENCHMARK ENGINEERING OPTIMIZATION PROBLEMS
Engineering optimization needs easy-to-use and efficient optimization tools that can be employed for practical purposes. In this context, stochastic search techniques have good reputation and wide acceptability as being powerful tools for solving complex engineering optimization problems. However, increased complexity of some metaheuristic algorithms sometimes makes it difficult for engineers t...
متن کاملCasting Project Scheduling with Time Windows as a DTP
This paper extends existing work on constraint-based scheduling for solving complex Resource Constrained Project Scheduling Problems. The main result of the paper is the reduction of the RCPSP/max problem to a Disjunctive Temporal Problem that allow customization of specific properties within a backtracking search procedure for makespan optimization where decision variables are Minimal Critical...
متن کاملChaotic Genetic Algorithm based on Explicit Memory with a new Strategy for Updating and Retrieval of Memory in Dynamic Environments
Many of the problems considered in optimization and learning assume that solutions exist in a dynamic. Hence, algorithms are required that dynamically adapt with the problem’s conditions and search new conditions. Mostly, utilization of information from the past allows to quickly adapting changes after. This is the idea underlining the use of memory in this field, what involves key design issue...
متن کامل