Statistical Modelling and Analysis of Fused Deposition Modeling Process Parameters for Green Composites Fabrication
1st Edition
Will be published approx. on 22. January 2026
Book
Hardback
168 pages
978-1-032-79657-4 (ISBN)
Description
This book offers a comprehensive exploration of the intricacies involved in conducting statistical analyses on Fused Deposition Modeling (FDM) printed green composites backed by real-world examples. It helps readers navigate the statistical terrain within the realm of eco-friendly composite materials, offering a hands-on approach that bridges theory with tangible applications.
Key Features-
- Contains processing and manufacturing of novel green filaments for additive manufacturing processes
- Includes experimental, analytical and numerical analysis of novel green composite filaments for the 3D printing industries
- Covers statistical analysis for green composites development using Additive Manufacturing
- Deals with mechanical, thermal and machinability of green composite filaments
- Addresses green filaments in various additive manufacturing applications and its challenges
This book is aimed at researchers and graduate students in composites, polymers, modeling, manufacturing, and materials engineering.
Key Features-
- Contains processing and manufacturing of novel green filaments for additive manufacturing processes
- Includes experimental, analytical and numerical analysis of novel green composite filaments for the 3D printing industries
- Covers statistical analysis for green composites development using Additive Manufacturing
- Deals with mechanical, thermal and machinability of green composite filaments
- Addresses green filaments in various additive manufacturing applications and its challenges
This book is aimed at researchers and graduate students in composites, polymers, modeling, manufacturing, and materials engineering.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic and Postgraduate
Illustrations
10 s/w Photographien bzw. Rasterbilder, 18 s/w Zeichnungen, 25 s/w Tabellen, 28 s/w Abbildungen
25 Tables, black and white; 18 Line drawings, black and white; 10 Halftones, black and white; 28 Illustrations, black and white
Dimensions
Height: 222 mm
Width: 145 mm
Thickness: 13 mm
Weight
353 gr
ISBN-13
978-1-032-79657-4 (9781032796574)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Sathish Kumar Adapa | Jagadish | Divya Zindani
Statistical Modelling and Analysis of Fused Deposition Modeling Process Parameters for Green Composites Fabrication
E-Book
01/2026
1st Edition
CRC Press
€31.49
Available for download
Sathish Kumar Adapa | Jagadish | Divya Zindani
Statistical Modelling and Analysis of Fused Deposition Modeling Process Parameters for Green Composites Fabrication
E-Book
01/2026
1st Edition
CRC Press
€31.49
Available for download
Persons
Sathish Kumar Adapa is working as Assistant Professor in the Dept of Mech. Engg., AITAM college Andhra Pradesh, India. Sathish Kumar Adapa completed his M. Tech. in Design and Manufacturing from CUTM Odisha, India, in the year of 2013. Pursuing PhD at NIT Raipur, India. During his 9 years of experience published more than 10 nos. of International/National Journal/conference/book/books chapters. His research interest includes, additive manufacturing, green composites, green manufacturing, Advanced Manufacturing Process; CAD/CAM; Composite material and machining characterization; etc.
Jagadish working as Assistant Professor in the SQC & OR Unit, Indian Statistical Institute Bangalore India. Prior, He worked as Assistant Professor in Department of Mechanical Engineering at NIT Silchar & NIT Raipur. He completed his Ph.D. in Industrial Engineering from NIT Silchar, India. During his 12 years of experience published more than 98 nos. articles in International/National Journal/conference/book/books chapters. He received an Institutional Award (Gold Medal) by the Institution of Engineers India, Best innovative award by Springer, Best paper award by NIT Silchar, Best Research Paper Award by NIT Raipur for his outstanding research contribution. His research interest includes Industrial Engineering; Optimization Techniques; Supply Chain Management; Time Series Analysis; Operations Management; Statistical Modeling & Analysis; Six Sigma; Quality Management; Design of Experiments; Statistical Quality Control; Green Composites; Green Manufacturing.
Divya Zindani received his Ph.D. degree in Mechanical Engineering from National Institute of Technology Silchar, Assam, India, in the year 2021. He is currently working as Assistant Professor in the Department of Mechanical Engineering, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai. He has over 2 years of Industrial experience. His areas of research interests are Decision-support systems, AI/ML, Optimization, Sustainable product development and Process Design, prognostic health monitoring. He has 15+ Patents, 15+ Authored and Edited Books, 20+ Book Chapters and 30+ international Journal publications to his credit. He has been felicitated with many awards. He is active member of Multiple Criteria Decision Making, The International Society
Jagadish working as Assistant Professor in the SQC & OR Unit, Indian Statistical Institute Bangalore India. Prior, He worked as Assistant Professor in Department of Mechanical Engineering at NIT Silchar & NIT Raipur. He completed his Ph.D. in Industrial Engineering from NIT Silchar, India. During his 12 years of experience published more than 98 nos. articles in International/National Journal/conference/book/books chapters. He received an Institutional Award (Gold Medal) by the Institution of Engineers India, Best innovative award by Springer, Best paper award by NIT Silchar, Best Research Paper Award by NIT Raipur for his outstanding research contribution. His research interest includes Industrial Engineering; Optimization Techniques; Supply Chain Management; Time Series Analysis; Operations Management; Statistical Modeling & Analysis; Six Sigma; Quality Management; Design of Experiments; Statistical Quality Control; Green Composites; Green Manufacturing.
Divya Zindani received his Ph.D. degree in Mechanical Engineering from National Institute of Technology Silchar, Assam, India, in the year 2021. He is currently working as Assistant Professor in the Department of Mechanical Engineering, Sri Sivasubramaniya Nadar (SSN) College of Engineering, Chennai. He has over 2 years of Industrial experience. His areas of research interests are Decision-support systems, AI/ML, Optimization, Sustainable product development and Process Design, prognostic health monitoring. He has 15+ Patents, 15+ Authored and Edited Books, 20+ Book Chapters and 30+ international Journal publications to his credit. He has been felicitated with many awards. He is active member of Multiple Criteria Decision Making, The International Society
Content
1. Introduction to Green Composites and its Applications 2. Harnessing the Power of Statistics in Green Composite Modeling 3. Unraveling the Potential of Jute Fiber-Based Green Filament Composites via Fused Deposition Modeling 4. Unleashing the Potential of FDM Printed Coir-Based Green Composites 5. Advancing Sustainability with Statistical Modeling of FDM Printed Cane-Based Green Composites 6. Empowering Sustainability with Statistical Modeling of FDM Printed Bamboo-Based Green Composites