CFD analysis and heat transfer characteristics of finned tube heat exchangers

Safety valves are the most important safety devices of the pressure system. For safety valves in the vast majority of cases in industrial environment, direct spring-loaded safety valves are used. The most important parameter of the equation of motion is the flow force. The main goal of the analysis was to compare the simulated flow forces with the measured results and validating the computational fluid dynamics model. Simulations were made in ANSYS 2019 R1 code for numerous fixed valve disk positions on different pressures. Results are in good agreement with the measured data.

Section: Fluent Set Upsmentioning

confidence: 99%

CFD analysis on a direct spring-loaded safety valve to determine flow forces

Pusztai

Siménfalvi

2021

“…However, still more than the cut-off limit in this case the m is equal to 5 and ∆σD should be used instead of ∆σC, and the reference number of cycles is 5•10 6 , where ∆σD is the constant amplitude fatigue limit. In this case, the number of cycles could be calculated with the formula on the right [7].…”

Section: Fatigue Calculationsmentioning

confidence: 99%

“…For this procedure, the Microsoft Excel Solver was used, and within it, the Nonlinear General Reduced Gradient method. The formulae for the optimization are the follows [1], [7], [8]:…”

Section: Optimizationmentioning

confidence: 99%

Investigation of the Warping Torsion of a Press Machine

Erdős

Jármai

2020

Self Cite

In this article, the investigation of a press machine with 30 tons of pressing weight is presented. The beam of this machine is an I-beam, which has an open cross-section. It is known that this version of cross-section is sensitive to torsional stress. The stress from warping torsion is normal stress, so the opened cross-section is more sensitive to this type of stress. The bimoment that causes normal stress can also be very high, so dealing with this stress is very important.

“…In one of previous research, the problem of adaptive optimization has been employed using evolutionary programming in the optimization of large-scale maintenance systems [1]. If the optimization problem is complex, it is hard to find the global minimum or maximum [2,3]. In this paper, the firefly algorithm has been applied to a logistic problem with a large variable count.…”

Section: Introductionmentioning

confidence: 99%

Improving optimization using adaptive algorithms

Kota¹,

Jármai

2021

Self Cite

In the research projects and industrial projects severe optimization problems can be met, where the number of variables is high, there are a lot of constraints, and they are highly nonlinear and mostly discrete issues, where the running time can be calculated sometimes in weeks with the usual optimization methods on an average computer. In most cases in the logistics industry, the most robust constraint is the time. The optimizations are running on a typical office configuration, and the company accepts the suboptimal solution what the optimization method gives within the appropriate time limit. That is, why adaptivity is needed. The adaptivity of the optimization technique includes parameters of fine-tuning. On this way, the most sensitive setting can be found. In this article, some additional adaptive methods for logistic problems have been investigated to increase the effectivity, improve the solution in a strict time condition.