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The book presents a detailed discussion of nanomaterials,
nanofluids and application of nanofluids as a coolant to reduce
heat transfer. It presents a detailed approach to the formulation
of mathematical modelling applicable to any type of case study with
a validation approach and sensitivity and optimization. Covers the
aspects of formulation of mathematical modelling with optimization
and sensitivity analysis Presents a case study based on heat
transfer improvement and performs operations using nanofluids
Examines the analysis of experimental data by the formulation of a
mathematical model and correlation between input data and output
data Illustrates heat transfer improvement of heat exchangers using
nanofluids through the mathematical modelling approach Discusses
applications of nanofluids in cooling systems This book discusses
the aspect of formulation of mathematical modelling with
optimization and sensitivity analysis. It further presents a case
study based on the heat transfer improvement and performing
operations using nanofluids. The text covers sensitivity analysis
and analysis from the indices of the model. It also discusses
important concepts such as nanomaterials, applications of
nanomaterials, and nanofluids. It will serve as an ideal reference
text for senior undergraduate, and graduate students in fields
including mechanical engineering, chemical engineering, aerospace
engineering, industrial engineering, and manufacturing engineering.
This book investigates human–machine systems through the use of
case studies such as crankshaft maintenance, liner piston
maintenance, and biodiesel blend performance. Through mathematical
modelling and using various case studies, the book provides an
understanding of how a mathematical modelling approach can assist
in working out problems in any industrial-oriented activity.
Mathematical Modelling: Simulation Analysis and Industrial
Applications details a data analysis approach using mathematical
modelling sensitivity. This approach helps in the processing of any
type of data and can predict the result so that based on the
result, the activity can be controlled by knowing the most
influencing variables or parameters involved in the phenomenon.
This book helps to solve field and experimental problems of any
research activity using a data-based modelling concept to assist in
solving any type of problem. Students in manufacturing, mechanical,
and industrial engineering programs will find this book very
useful. This topic has continued to advance and incorporate new
concepts so that the manufacturing field continues to be a dynamic
and exciting field of study.
Analysis and interpretation of steering behavior of automobile is a
keystone in vehicle dynamics. The available methods for estimating
the prediction of steering behavior are not suitable and have
restriction to use in field conditions. Steering parameters changes
from place to place. It is for these reasons extensive experimental
investigation has been conducted to determine a method for
predicting steering behavior. This is essentially to decided
appropriateness of special bushes, they are using at various joints
of suspension. The suspension basically comprises of a linkage
which is a 3D mechanism SRRS (Spherical, Revolute, Revolute,
Spherical). On the basis of six included angles of this four bar
chain, position of kingpin axis is determined. Once the position of
kingpin axis is decided corresponding Steering Parameters can be
determine
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