scholarly journals From casting to forging—The combined simulation for a steel component

2021 ◽  
Author(s):  
Uwe Böhmichen ◽  
Nadine Schubert ◽  
Tim Lehnert ◽  
Andreas Sterzing ◽  
Reinhard Mauermann
Keyword(s):  
Steel Component ◽  
Combined Simulation

scholarly journals Combined simulation and optimization framework for irrigation scheduling in agriculture fields

2021 ◽  
Author(s):  
Mireia Fontanet ◽  
Daniel Fernàndez-Garcia ◽  
Gema Rodrigo ◽  
Francesc Ferrer ◽  
Josep Maria Villar
Keyword(s):  
Crop Yields ◽  
Root Zone ◽  
Growing Season ◽  
Irrigation Scheduling ◽  
Irrigated Agriculture ◽  
Traditional Methods ◽  
Simulation And Optimization ◽  
Optimization Framework ◽  
Net Margin ◽  
Combined Simulation

AbstractIn the context of growing evidence of climate change and the fact that agriculture uses about 70% of all the water available for irrigation in semi-arid areas, there is an increasing probability of water scarcity scenarios. Water irrigation optimization is, therefore, one of the main goals of researchers and stakeholders involved in irrigated agriculture. Irrigation scheduling is often conducted based on simple water requirement calculations without accounting for the strong link between water movement in the root zone, soil–water–crop productivity and irrigation expenses. In this work, we present a combined simulation and optimization framework aimed at estimating irrigation parameters that maximize the crop net margin. The simulation component couples the movement of water in a variably saturated porous media driven by irrigation with crop water uptake and crop yields. The optimization component assures maximum gain with minimum cost of crop production during a growing season. An application of the method demonstrates that an optimal solution exists and substantially differs from traditional methods. In contrast to traditional methods, results show that the optimal irrigation scheduling solution prevents water logging and provides a more constant value of water content during the entire growing season within the root zone. As a result, in this case, the crop net margin cost exhibits a substantial increase with respect to the traditional method. The optimal irrigation scheduling solution is also shown to strongly depend on the particular soil hydraulic properties of the given field site.

Multi-exposure X-ray image fusion quality evaluation based on CSF and gradient amplitude similarity

2021 ◽  
pp. 1-13
Author(s):  
Yanjie Qi ◽  
Zehui Yang ◽  
Lin Kang
Keyword(s):  
Image Fusion ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Dynamic Range ◽  
Reference Image ◽  
Subjective Perception ◽  
Steel Component ◽  
Imaging Device ◽  
X Ray ◽  
Gradient Amplitude

Due to the limitation of dynamic range of the imaging device, the fixed-voltage X-ray images often produce overexposed or underexposed regions. Some structure information of the composite steel component is lost. This problem can be solved by fusing the multi-exposure X-ray images taken by using different voltages in order to produce images with more detailed structures or information. Due to the lack of research on multi-exposure X-ray image fusion technology, there is no evaluation method specially for multi-exposure X-ray image fusion. For the multi-exposure X-ray fusion images obtained by different fusion algorithms may have problems such as the detail loss and structure disorder. To address these problems, this study proposes a new multi-exposure X-ray image fusion quality evaluation method based on contrast sensitivity function (CSF) and gradient amplitude similarity. First, with the idea of information fusion, multiple reference images are fused into a new reference image. Next, the gradient amplitude similarity between the new reference image and the test image is calculated. Then, the whole evaluation value can be obtained by weighting CSF. In the experiments of MEF Database, the SROCC of the proposed algorithm is about 0.8914, and the PLCC is about 0.9287, which shows that the proposed algorithm is more consistent with subjective perception in MEF Database. Thus, this study demonstrates a new objective evaluation method, which generates the results that are consistent with the subjective feelings of human eyes.

Combined simulation of a deep ground source heat exchanger and an office building

2014 ◽  
Vol 73 ◽  
pp. 97-105 ◽  
Author(s):  
K. Huchtemann ◽  
D. Müller
Keyword(s):  
Heat Exchanger ◽  
Office Building ◽  
Ground Source ◽  
Combined Simulation

A review and classification of combined simulation

1997 ◽  
Vol 32 (2) ◽  
pp. 251-264 ◽  
Author(s):  
Yasser Dessouky ◽  
Chell A. Roberts
Keyword(s):  
Combined Simulation

Combined Simulation Approach For Dry Clutch Systems

2011 ◽  
Author(s):  
Manfred Przybilla ◽  
Christian Kunze ◽  
Serdar Celik ◽  
Shachindra Dongaonkar
Keyword(s):  
Simulation Approach ◽  
Combined Simulation ◽  
Dry Clutch

Finite element modeling of structural steel component failure at elevated temperatures

Structures ◽  
2016 ◽  
Vol 6 ◽  
pp. 134-145 ◽  
Author(s):  
Mina Seif ◽  
Joseph Main ◽  
Jonathan Weigand ◽  
Therese P. McAllister ◽  
William Luecke
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Structural Steel ◽  
Elevated Temperatures ◽  
Steel Component ◽  
Component Failure ◽  
Element Modeling

Combined simulation of central HVAC systems with a whole-building hygrothermal model

2008 ◽  
Vol 40 (3) ◽  
pp. 276-288 ◽  
Author(s):  
Rogério Marcos Barbosa ◽  
Nathan Mendes
Keyword(s):  
Hvac Systems ◽  
Combined Simulation

scholarly journals Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

Buildings ◽  
2015 ◽  
Vol 5 (2) ◽  
pp. 560-580 ◽  
Author(s):  
Javier González ◽  
Francesco Fiorito
Keyword(s):  
Office Buildings ◽  
Simulation Methods ◽  
Combined Simulation ◽  
Daylight Design

Combined simulation of hybrid processes

2002 ◽  
Author(s):  
B. Daubas ◽  
A. Pages ◽  
H. Pingaud
Keyword(s):  
Hybrid Processes ◽  
Combined Simulation
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