During all phases of the design process there is a need to build models. Hierarchical models are very important tools for complex activities such as engineering design. In engineering of high performance products, mathematical modeling and simulation, i.e. experimenting with computer-based models, is an increasingly important technique for solving problems, evaluating solutions and making decisions. However, large design models may contain thousands of model elements. Designers easily get overwhelmed maintaining the correctness of such design models over time. Not only is it hard to detect new errors when the model changes but it is also hard to keep track of known errors. In the software engineering community this problem is known as a consistency problem and errors in models are known as inconsistencies. This paper presents an approach for consistency checking of mechatronic design models.
In hot rolling, the quantities rolling load, torque, and power consumption are important measurable process parameters. For the determination of rolling loads in hot flat rolling processes, like heavy plate rolling, Sims's model1 is a well‐known approach represented by an analytical formula. The solution of Sims's equation leads to the multiplier Q, which is a function of the roll gap geometry. The rolling load is then computed by applying the width of the plate, the contact length, the multiplier, and an average material flow stress called kfm. This flow stress is commonly recalculated from process data as a function of temperature, pass strain, and a mean strain rate, applying the Sims model itself. One question arises from this method: Are the recalculated flow stresses physically based values or in other words, what is the (physical) meaning or interpretation of these values? The present paper tries to give an answer to this question by determining the influence of the roll gap geometry alternatively by means of a simple 2D FEM model which gives a corresponding multiplier referred to as QFE. Flow stresses are recalculated from a set of process data using both factors. The results are compared to experimental flow stress data from hot compression tests. It is shown, that the recalculated flow stresses using QFE are in better agreement with the laboratory data than the recalculated values using Sims's Q.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.