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Li, Liming; Watanabe, Tetsu; Heger, Mathias; Horstmann, M.; Song, Gang; Zhang, Zhao Dong; Zhang, Hua; Jing, Shan; Liu, Lei; Feng, J.; Zhou, Norman Y.; Kore, Sachin D.

doi:10.1016/b978-1-84569-692-4.50022-5

Cited by 2 publications

(2 citation statements)

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“…The soil textural class was determined through the hydrometer method using USDA soil texture classification [26]. Table 2 lists the soil characteristics of the experimental field, parts of which were obtained from Liu and Zhang [27]. The Soil Water Characteristics Hydraulic Properties Calculator (http://hydrolab.arsusda.…”

Section: Filed Management and Crop Datamentioning

confidence: 99%

Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Guo

Chen

Guo

et al. 2018

Water

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Abstract:The water-driven AquaCrop model is used extensively for simulating crop growth and water use. A three-year field experiment (2015-2017) of foxtail millet (Setaria italica) that was grown using plastic film mulching (PM) and no mulching (NM) was conducted in a rain-fed region of China to simulate canopy cover (CC), biomass, soil water content (SWC), yield, evapotranspiration (ETc), and water use efficiency (WUE). The year 2015 was much drier and warmer than the two other years. The model was calibrated using field data from 2016 and validated using the data from 2015 and 2017. Simulations of CC, biomass, and yield achieved favorable performance for both PM and NM in all years, as indicated by the high determination coefficient (R 2 ), model efficiency (EF), small root mean square error (RMSE), normalized root mean square error (NRMSE), and deviations < 10%. Simulations of SWC, ETc, and WUE gave acceptable results for both PM and NM in the normal year (2017). However, low R 2 and EF, and large NRMSE, RMSE, and deviations were observed in the predictions of PM and NM for SWC, ETc, and WUE in the dry year (2015) with a severe drought stress, indicating that the model performed unsatisfactorily under severe drought stress condition that was caused by the adverse weather. In addition, the simulation performance of NM was more favorable than that of PM for most crop growth and water use indexes under no drought stress condition.

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Section: Filed Management and Crop Datamentioning

confidence: 99%

Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Guo

Chen

Guo

et al. 2018

Water

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“…Given the unprecedented advantages associated with the laser welding operation, much research is being carried out to optimise the input parameters for various materials including magnesium alloys [21] and aluminium alloys [22]. In addition, laser welding of high entropy alloys is also being considered due to the exponential increase in the use of these materials in industry [23].…”

Section: Currentmentioning

confidence: 99%

Parametric optimisation of laser welding of stainless steel 316L

Butt,

Tayyaba,

Raza

et al. 2024

Acta Polytech

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This paper presents numerical and experimental studies focused on the optimisation of laser welding parameters for AISI 316L stainless steel. The focus of the numerical studies was to obtain the mathematical model with the least time complexity and the highest fidelity. Based on the comparison of different mathematical models, a combination of two models, double ellipsoidal and conical models, was found to be optimal for the numerical simulation of the laser welding process. The studies were also complemented by material characterization studies for validation purpose. A pulse duration of 8 milliseconds and a current of 400 amperes with an average power of 380W were found to be the optimum parameters for laser welding of standard gauge 12 sheet of stainless steel AISI 316L. In addition, the effect of duty factor of the pulsed laser beam on the weld profile was also investigated and was found to be a major contributor to the optimisation process. The properties of the sample welded with the optimised set of parameters were also compared with the base metal, and based on the mechanical characterisation studies, it was found that the yield strength and hardness of the welded sample were improved, but the overall ductility was slightly reduced as compared to the base metal. The average weld zone size was also reduced by increasing the power density due to multiple reflections of the beam.

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Cited by 2 publications

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Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Evaluation of AquaCrop Model for Foxtail Millet (Setaria italica) Growth and Water Use with Plastic Film Mulching and No Mulching under Different Weather Conditions

Parametric optimisation of laser welding of stainless steel 316L

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