Soft Computing in Materials Development and its Sustainability in the Manufacturing Sector

248 Pages·2022·44.555 MB·English

by  Amar Patnaik, Vikas Kukshal, Pankaj Agarwal, Ankush Sharma, Mahavir Choudhary

Soft Computing in
Materials Development
and its Sustainability in the
Manufacturing Sector
This book focuses on the application of soft computing in materials and manufactur-
ing sectors with the objective to offer an intelligent approach to improve the manu-
facturing process, material selection and characterization techniques for developing
advanced new materials. This book unveils different models and soft computing
techniques applicable in the field of advanced materials and solves the problems to
help the industry and scientists to develop sustainable materials for all purposes. The
book focuses on the overall well-being of the environment for better sustenance and
livelihood. First, the authors discuss the implementation of soft computing in vari-
ous areas of engineering materials. They also review the latest intelligent technolo-
gies and algorithms related to the state-of-the-art methodologies of monitoring and
effective implementation of sustainable engineering practices. Finally, the authors
examine the future generation of sustainable and intelligent monitoring techniques
beneficial for manufacturing and cover novel soft computing techniques for effective
manufacturing processes at par with the standards laid down by the International
Standards of Organization (ISO). This book is intended for academics and research-
ers from all the fields of engineering interested in joining interdisciplinary initiatives
on soft computing techniques for advanced materials and manufacturing.
Edge AI in Future Computing
Series Editors:
Arun Kumar Sangaiah, SCOPE, VIT University, Tamil Nadu
Mamta Mittal, G. B. Pant Government Engineering College,
Okhla, New Delhi
Soft Computing in Materials Development and its Sustainability
in the Manufacturing Sector
Amar Patnaik, Vikas Kukshal, Pankaj Agarwal, Ankush Sharma,
Mahavir Choudhary
Soft Computing Techniques in Engineering, Health,
Mathematical and Social Sciences
Pradip Debnath and S. A. Mohiuddine
Machine Learning for Edge Computing: Frameworks,
Patterns and Best Practices
Amitoj Singh, Vinay Kukreja, Taghi Javdani Gandomani
Internet of Things: Frameworks for Enabling and
Emerging Technologies
Bharat Bhushan, Sudhir Kumar Sharma, Bhuvan Unhelkar,
Muhammad Fazal Ijaz, Lamia Karim
For more information about this series, please visit: https://www.routledge.com/
Edge-AI-in-Future-Computing/book-series/EAIFC
Soft Computing in
Materials Development
and its Sustainability in the
Manufacturing Sector
Edited by
Amar Patnaik, Vikas Kukshal,
Pankaj Agarwal, Ankush Sharma,
Mahavir Choudhary
MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks
does not warrant the accuracy of the text or exercises in this book. This book’s use or discussion
of MATLAB® software or related products does not constitute endorsement or sponsorship by
The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software
First edition published 2023
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© 2023 selection and editorial matter, Amar Patnaik, Vikas Kukshal, Pankaj Agarwal, Ankush Sharma,
Mahavir Choudhary; individual chapters, the contributors
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ISBN: 978-0-367-72358-3 (hbk)
ISBN: 978-0-367-72360-6 (pbk)
ISBN: 978-1-003-15451-8 (ebk)
DOI: 10.1201/9781003154518
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Contents
Preface......................................................................................................................vii
Acknowledgements ...................................................................................................ix
Editors .......................................................................................................................xi
List of Contributors ................................................................................................xiii
Chapter 1 Predictive Maintenance of Industrial Rotating Equipment
Using Supervised Machine Learning ...................................................1
Hare Shankar Kumhar, Vikas Kukshal, Kumari Sarita, and
Sanjeev Kumar
Chapter 2 Predictive Approach to Creep Life of Ni-based Single
Crystal Superalloy Using Optimized Machine Learning
Regression Algorithms .......................................................................21
Vinay Polimetla and Srinu Gangolu
Chapter 3 Artificial Neural Networks Based Real-time Modelling While
Milling Aluminium 6061 Alloy .........................................................37
Shaswat Garg, Satwik Dudeja, and Navriti Gupta
Chapter 4 Smart Techniques of Microscopic Image Analysis and
Real-Time Temperature Dispersal Measurement for Quality
Weld Joints .........................................................................................49
Rajesh V. Patil and Abhishek M. Thote
Chapter 5 Industrial Informatics Cache Memory Design for Single Bit
Architecture for IoT Approaches ........................................................73
Reeya Agrawal and Neetu Faujdar
Chapter 6 The Bending Behavior of Carbon Fiber Reinforced Polymer
Composite for Car Roof Panel Using ANSYS 21 ............................103
Mohd Faizan and Swati Gangwar
Chapter 7 Sustainable Spare Parts Inventory and Cost Control
Management Using AHP-B ased Multi- Criterion Framework:
Perspective on Petroleum & Fertilizer Industries ............................115
Sandeep Sharda and Sanjeev Mishra
v
vi Contents
Chapter 8 Simulation of Deployment of Inflatable Structures Through
Uniform Pressure Method ................................................................145
Aquib Ahmad Siddiqui, V. Murari, and Satish Kumar
Chapter 9 Experimental and Machine Learning Approach to Evaluate
the Performance of Refrigerator and Air Conditioning Using
TiO Nanoparticle .............................................................................159
2 
Harinarayan Sharma, Aniket Kumar Dutt, Pawan Kumar, and
Mamookho Elizabeth Makhatha
Chapter 10 Numerical and Experimental Investigation on Thinning in
Single-Point Incremental Sheet Forming .........................................167
Sahil Bendure, Rahul Jagtap, and Malaykumar Patel
Chapter 11 Smart Manufacturing: Opportunities and Challenges Overcome
by Industry 4.0 ..................................................................................179
Ishan Mishra, Sneham Kumar, and Navriti Gupta
Chapter 12 Multi-Response Optimization of Input Parameters in End
Milling of Metal Matrix Composite Using TOPSIS Algorithm ......183
A. Singhai, K. Dhakar, and P.K. Gupta
Chapter 13 Numerical and Experimental Investigation of Additive
Manufactured Cellular Lattice Structures........................................197
V. Phanindra Bogu, Locherla Daloji, and Bangaru Babu Popuri
Chapter 14 Wear Measurement by Real-Time Condition Monitoring
Using Ferrography ............................................................................209
Swati Kamble and Rajiv B.
Chapter 15 Design, Modelling and Comparative Analysis of a Horizontal
Axis Wind Turbine ...........................................................................223
Ninad Vaidya and Shivprakash B. Barve
Index ......................................................................................................................231
Preface
The book entitled “Soft Computing in Materials Development and Its Sustainability
in the Manufacturing Sector” embraces innovations in the area of soft computing in
mechanical, materials and manufacturing processes, proposed by various research-
ers, scientists, professionals, and academicians. Through this book an attempt has
been made to overcome numerous problems faced by the students related to soft
computing and engineering, ultimately to bestow sound knowledge. The drafted
book’s presentation is basic, clear and simple to comprehend. This book empha-
sizes the application of numerous soft computing techniques in various engineering
materials including metals, polymers, composites, biocomposites, fiber composites,
ceramics, etc. along with their property characterizations and potential applications
of these materials. Despite this however, a significant gap exists between the actual
theories and software systems therefore, this book is motivated from the scarcity of
wider aspects relating to advanced materials, materials manufacturing and process-
ing, optimization and sustainable development, tribology for industrial application
and diverse engineering applications. All the chapters were subjected to a peer-
review process by the researchers working in the relevant fields. The chapters were
selected based on their quality and their relevance to the title of the book. This book
will result in an excellent collection of current technical strategies and enable the
researchers working in the field of advanced material and manufacturing processes
to explore current areas of research and educate future generations.
This book is a result of several people’s hard work and efforts which has brought
forth this successful record. It is very imperative to acknowledge their contribution in
shaping the structure of the book. Hence, all the editors would like to express special
gratitude to all the reviewers for their valuable time invested in reviewing process
and for completing the review process in time. Their valuable advice and guidance
helped in improving the quality of the chapters selected for the publication in the
book. Finally, we would like to thank all the authors of the chapters for the timely
submission of the chapter during the rigorous review process.
MATLAB® is a registered trademark of The MathWorks, Inc. For product information,
please contact:
The MathWorks, Inc.
3 Apple Hill Drive
Natick, MA 01760-2098 USA
Tel: [phone]
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E-mail: [email protected]
Web: www.mathworks.com
vii
Acknowledgements
This book would not have been possible without the kind support and efforts of many
people. It has been great honour and privilege for the kind association with all the
authors, reviewers and the concerned Institutes of the editors. First, all the editors
would like to express a deep sense of gratitude to all those whose work, research and
support have helped and contributed to this book. We gratefully express gratitude to
all the authors of the accepted chapters for transforming their work into the chapters
of the book. We are highly indebted to all the authors for their continuous support
during the rigorous review process.
We would like to acknowledge all the reviewers who have invested a huge amount
of their precious time in the review process of all the book chapters. Their continuous
support and timely completion of the review process have helped the editors to com-
plete the book within the stipulated time. Their exemplary guidance and advice helped
in improving the quality of the chapters selected for the publication in the book.
It’s very difficult to thank everyone associated with this book. Therefore, we owe
our gratitude to all the persons who have lent their helping hand in the completion
of the book directly or indirectly. Last but not least, we would like to thank our
family members for their unceasing encouragement and support in allowing us to
successfully complete this book.
ix