Patnaik / Sharma / Kukshal | Application of Soft Computing Techniques in Mechanical Engineering | Buch | 978-1-032-19102-7 | sack.de

Buch, Englisch, 288 Seiten, Format (B × H): 241 mm x 162 mm, Gewicht: 556 g

Reihe: Computational and Intelligent Systems

Patnaik / Sharma / Kukshal

Application of Soft Computing Techniques in Mechanical Engineering

Buch, Englisch, 288 Seiten, Format (B × H): 241 mm x 162 mm, Gewicht: 556 g

Reihe: Computational and Intelligent Systems

ISBN: 978-1-032-19102-7
Verlag: Taylor & Francis Ltd


This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science.

The book-

- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process.

- Provides perspectives for the design, development, and commissioning of intelligent applications.

- Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering.

- Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering.

- Covers implementation of soft computing in the various areas of engineering applications.



This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.
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Zielgruppe


Academic, Postgraduate, and Undergraduate Advanced

Weitere Infos & Material


Chapter 1
Numerical Investigation of a Solar Air Heater Duct with Detached Ribs

Chapter 2
CFD analysis for thickness optimization of a rotating packed bed (RPB)

Chapter 3
Performance evaluation of solar photovoltaic system using vertical single axis solar tracker in Himachal Pradesh, India

Chapter 4
Analysis of drag force on a submerged thin plate under various wavesteepness conditions: Numerical simulation approach

Chapter 5
A single-zone thermodynamic model cycle simulation and optimization of combustion and performance characteristics of a diesel engine

Chapter 6
Analysis of hydrodynamic efficiency on a rectangular based OWC: a numerical simulation approach

Chapter 7
Segregation in size bi-dispersed system of active particles

Chapter 8
A CFD model for parametric study of pipe elbow erosion behavior caused by the slurry flow

Chapter 9
Dynamics of forced particles in an oscillating flow at low Reynolds numbers

Chapter 10
Numerical Study Of F1 Car Rear Wing Assembly

Chapter 11
Numerical investigation on the melting and solidification of Bio-PCM having annulus eccentricity in horizontal double pipe thermal energy storage

Chapter 12
Multi-parametric Optimization of a Convective Type Waste Heat Recovery System

Chapter 13
Sump Pump output flow Parameter Optimization by Taguchi Method

Chapter 14
Prediction of Fire Resistance Rate of CFST Columns Using Gene Expression Programming

Chapter 15
Computational Comparative Investigation of Baseline and Perforated Pin-Fins

Chapter 16
A comparative study of patient specific bifurcated carotid artery with different viscosity models

Chapter 17
Recent advancements in induced-charge electrokinetic micromixing

Chapter 18
Numerical study of unsteady flow of hybrid nanofluid induced by a slendering surface with suction and injection effects

Chapter 19
Computational analysis of toe-out type vortex generators for improved thermal capacity of finned tube arrays


Amar Patnaik, Ankush Sharma


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