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.
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.
1. Introduction to Green Composites and its Applications
2. Harnessing
the Power of Statistics in Green Composite Modelling
3. Unraveling the
Potential of Jute Fiber-Based Green Filament Composites via Fused Deposition
Modelling
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 Modelling of FDM-Printed Bamboo-Based Green Composites
Sathish Kumar Adapa is working as an Assistant Professor in the Department of Mechanical Engineering, AITAM College, Andhra Pradesh, India. He has completed his M. Tech. in Design and Manufacturing from CUTM, Odisha, India, and is currently pursuing a PhD at NIT Raipur, India. During his nine years of experience, he has published more than ten international and national journal articles, conferences, and book chapters. His research interests include additive manufacturing, green composites, green manufacturing, advanced manufacturing process, CAD/CAM, and composite material and machining characterization.
Jagadish is working as an Assistant Professor in the SQC & OR Unit, Indian Statistical Institute, Bangalore, India. Prior to this, he worked as an Assistant Professor in the Department of Mechanical Engineering at NIT Silchar & NIT Raipur. He completed his PhD in Industrial Engineering from NIT Silchar, India. During his 12 years of experience, he has published more than 98 articles in international and national journals, conferences, and book chapters. He has received an Institutional Award (Gold Medal) by the Institution of Engineers India, Best Paper Award by NIT Silchar, and 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 modelling and analysis, six sigma, quality management, design of experiments; statistical quality control, green composites, and green manufacturing.
Divya Zindani received his PhD degree in Mechanical Engineering from the National Institute of Technology Silchar, Assam, India, in 2021. He is currently working as an Assistant Professor in the Department of Mechanical Engineering, Sri Sivasubramaniya Nadar College of Engineering, Chennai. He has over two years of industrial experience. His areas of research interest are decision-support systems, artificial intelligence/machine learning, optimization, sustainable product development and process design, and prognostic health monitoring. He has more than 15 patents, more than 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 an active member of Multiple Criteria Decision Making, The International Society.
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