The study gas multistage separation at the preliminary preparation of crude oil by means of computer simulation was performed. Different models have been used as the phase state equations in HYSYS software: Peng-Robinson, Grayson-Street-Choa-Seeder, Peng-Robinson-Twu, Suave-Redlich-Kwong, Twu-Sim-Tassone. The carry-over saving of liquid oil components into off gases approximately is 40–60% while optimizing thermobaric conditions of the separation was obtained. The semi-empirical model obtained on the basis statistical processing of the results of laboratory experiments was proposed. The proposed semi-empirical model has a slight deviation for the first and the second separators. There is a negative effect in the third separator, but it is not significant in comparison with the positive effect in the first and the second separators.
Avoiding disasters due to resonance is a major concern in construction projects such as buildings, bridges and pipelines. This paper uses the Concept Design Analysis (CODA) method that is capable of supporting the described Value-Driven Design (VDD) methodology. While VDD promotes the use of a system wide ‘value’ function during conceptual design, the CODA method allows mapping customer needs into engineering characteristics in order to calculate a single normalized design metric. The CODA method employs three different merit functions: maximizing (more is better), minimizing (less is better), and optimizing (target is better). This paper proposes a new merit function called avoidance function that allows excluding a range of engineering characteristics, e.g. avoiding a range of resonant frequencies. An example of a simple CODA model for a bicycle wheel design selection with the proposed the avoidance function is presented.
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.