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This book is a state of the art treatise on what has been done so
far on measuring sustainability for decision making. Contributions
will appeal to engineers and scientists engaged in technology
development, assessment, and verification. Researchers working on
engineering sustainability are likely to get ideas for further
research in quantifying sustainability for industrial systems.
Concepts described can be applied across all scales, from process
technology to global sustainability; and challenges and limitations
are also addressed. Readers will discover important insights about
simulation-based approaches to process design and quantitative
measurement techniques of sustainability for business and
technology systems. Most of the examples and case studies are from
chemical enterprises but the methodologies presented could be
applicable to any system for which quantitative data for indicators
are available, and the choice of the set of indicators of
sustainability are comprehensive.
This book is a state of the art treatise on what has been done so
far on measuring sustainability for decision making. Contributions
will appeal to engineers and scientists engaged in technology
development, assessment, and verification. Researchers working on
engineering sustainability are likely to get ideas for further
research in quantifying sustainability for industrial systems.
Concepts described can be applied across all scales, from process
technology to global sustainability; and challenges and limitations
are also addressed. Readers will discover important insights about
simulation-based approaches to process design and quantitative
measurement techniques of sustainability for business and
technology systems. Most of the examples and case studies are from
chemical enterprises but the methodologies presented could be
applicable to any system for which quantitative data for indicators
are available, and the choice of the set of indicators of
sustainability are comprehensive.
Various statistical features can be used to characterize the
surface in quantitative way. Such an analysis can be done by the
multi-resolution capabilities of wavelet transforms (WT) of the
surface microscopic image. A multi-scale molecular model can help
to investigate the physical and chemical mechanism in manufacturing
process. Multiresolution characterization can be performed on the
model structure to compare with image analysis. In this book, we
have used a soft polymeric surface and applied multiresolution
characterization for surface feature extraction and multiscale
modeling for optimizing system variables to get desired surface
characteristics. In microfabrication, the efficiency of the product
reduced by line-edge roughness (LER). Off-line LER characterization
is usually based on the top-down SEM image. This book shows wavelet
based segmentation method for edge searching region as well as
wavelet based characterization. For mesoscale modeling, the
Flory-Huggins interaction parameters of the clusters of atoms or
molecules are used. We have identified the phase separation by
spinodal decomposition resulting in the formation of LER on polymer
surface.
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