scholarly journals A Monte Carlo factorial design approach for assessing environmentally responsible manufacturing cost-benefit tradeoffs

2008 ◽  
Author(s):  
Amin Torabkhani
Keyword(s):  
Monte Carlo ◽  
Factorial Design ◽  
Cost Benefit ◽  
Design Approach ◽  
Manufacturing Cost ◽  
Environmentally Responsible ◽  
Environmentally Responsible Manufacturing

The role of gas flow distributions on CO2 mineralization within monolithic cemented composites: coupled CFD-factorial design approach

2021 ◽  
Author(s):  
Iman Mehdipour ◽  
Gabriel Falzone ◽  
Dale Prentice ◽  
Narayanan Neithalath ◽  
Dante Simonetti ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Factorial Design ◽  
Material Properties ◽  
Gas Flow ◽  
Design Approach ◽  
Processing Conditions ◽  
Gas Processing ◽  
Co2 Mineralization

Optimizing the spatial distribution of contacting gas and the gas processing conditions enhances CO2 mineralization reactions and material properties of carbonate-cementitious monoliths.

Application of three-level general factorial design approach for thermal conductivity of MgO/water nanofluids

2017 ◽  
Vol 127 ◽  
pp. 1194-1199 ◽  
Author(s):  
Mohammad Hemmat Esfe ◽  
Hossein Rostamian ◽  
Alireza Shabani-samghabadi ◽  
Ali Akbar Abbasian Arani
Keyword(s):  
Thermal Conductivity ◽  
Factorial Design ◽  
Design Approach

Kinetic Monte Carlo Simulations of Strain-Induced Nanopatterning on Hexagonal Surfaces

2002 ◽  
Vol 731 ◽  
Author(s):  
M.I. Larsson ◽  
B. Lee ◽  
R. Sabiryanov ◽  
K. Cho ◽  
W. Nix ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Saddle Point ◽  
Self Assembly ◽  
Nearest Neighbor ◽  
Kinetic Monte Carlo ◽  
Research Field ◽  
Surface Strain ◽  
Manufacturing Cost ◽  
Component Size ◽  
Quantum Mechanical Effects

AbstractGuided self assembly of periodic arrays of quantum dots has recently emerged as an important research field not only to reduce component size and manufacturing cost but also to explore and apply quantum mechanical effects in novel nanodevices. The intention of this kinetic Monte Carlo (KMC) simulation study is to investigate self-organized nanopatterning on hexagonal surfaces for relaxed periodic surface strain fields applied to Pt(111) epitaxy. The KMC model is a full diffusion bond-counting model including nearest neighbor as well as second-nearest neighbor interactions with an event catalogue consisting of 8989 events modeling the effect of the biaxial surface strain field. The strain dependence of the fcc site and the saddle point for a Pt adatom migrating on top of the Pt(111) surface is calculated using the embedded atom method. Both the valley and the saddle point energies show an excellent linear dependence on the strain. These results are applied in the KMC model. The surface strain in this study is caused by a hexagonal network of dislocations at the interface between the substrate and a mismatched epitaxial layer. How the selforganization of deposited atoms is influenced by the surface strain will be addressed.

USE OF FACTORIAL DESIGN IN OPTIMIZATION OF MICROWAVE ASSISTED ORGANIC SYNTHESIS OF SOME AZOLES

INDIAN DRUGS ◽  
2018 ◽  
Vol 55 (10) ◽  
pp. 24-33
Author(s):  
R. R Somani ◽  
◽  
G. J. Sanap ◽  
P. K Chaskar
Keyword(s):  
Factorial Design ◽  
Organic Synthesis ◽  
Maximum Yield ◽  
Minimum Time ◽  
Organic Reactions ◽  
Design Approach ◽  
Environment Friendly ◽  
Microwave Assisted ◽  
Synthetic Reactions ◽  
32 Factorial Design

In the era of environment friendly chemistry, Microwave Assisted Organic Synthesis (MAOS) has proved to be an effective tool to achieve maximum yield in minimum time without compromising on quality. The present work focuses on synthesis of some bioactive heterocyclic azoles using MAOS. However, the synthetic reactions are optimized using a known technique of factorial designing. Here, 32 factorial design approach is used to achieve the set targets of yields and purity. The outcome has been very promising and opens up new avenues for organic chemists who face challenges in optimizing organic reactions.

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