Materials Science

AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

Data-Driven AI, Digital Twins, and Smart Process Control for Additive Manufacturing
Editors: Dr. Ayushi Thakur
Dr. Sumit Gupta
Dr. Eswara Krishna Mussad
Dr. Anoop Kumar Shukla

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Data-Driven AI, Digital Twins, and Smart Process Control for Additive Manufacturing

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Series: AAP Advances in Materials, Manufacturing and Computational Intelligence Techniques

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Short description about the volume:


The book Data-Driven AI, Digital Twins, and Smart Process Control for Additive Manufacturing will offer an in-depth understanding on foundational concepts, methodologies, and industry perspectives on influential role of cutting-edge technologies such as artificial intelligence (AI), digital twins and smart manufacturing in reshaping the additive manufacturing (AM) ecosystems. As AM transformed from being a prototyping tool to a full-fledged production technology, the utilization of AI, digital twins and smart systems has become critical in ensuring scalability, complex feature generation, robustness and certification readiness.

The integral theme of book is the shift from conventional rule-based process optimization to data-driven decision-making for fabrication of complex features using AM. AM uses and generates large and complex datasets through in-situ sensing imaging, thermal monitoring, machine logs, and build histories. The book will appraise the optimization strategies implemented on such data using machine learning, deep learning and hybrid AI models to understand process behavior, identify anomalies, predict failures, and improve part quality.

The book will also give special attention to digital twins as a powerful framework for enabling actual printing process with its virtual representation. The reader will be appraised with architectural aspects of digital twin including model calibration, real time synchronization and multiscale simulation. The readers will also learn how digital twins predict variations, simulate corrective actions, and ensure part integrity prior to defects.

Focusing on practical relevance, the book will highlight real-world industrial applications across sectors such as aerospace, automotive, healthcare, and smart materials, demonstrating how AI integration enables higher precision, reduced waste, and enhanced productivity. It also will outline emerging trends, including digital twins and autonomous manufacturing systems.
Designed for researchers, engineers, and graduate students, the book will offer a clear understanding of both current practices and future directions in AI-driven additive manufacturing.

Coverage

Submission of book chapters should be focused on the following key highlights:

• Introduction to Data-Driven AI, Digital Twins, and Smart Process Control for Additive Manufacturing
• Fundamentals of Additive Manufacturing Processes in Data-Driven Environments
• Data Acquisition and Sensor Integration for Additive Manufacturing Systems
• Data Preprocessing, Management, and Feature Engineering in Additive Manufacturing
• Machine Learning Techniques for Additive Manufacturing Process Monitoring and Defect Detection
• Deep Learning Applications for Advanced Analysis in Additive Manufacturing
• Data-Driven Predictive Quality Assurance and Process Optimization in Additive Manufacturing
• Fundamentals and Architecture of Digital Twins for Additive Manufacturing Systems
• Development, Calibration, and Deployment of Digital Twins in Additive Manufacturing
• Multi-Scale Modeling and Simulation for Digital Twin-Enabled Additive Manufacturing
• Closed-Loop Control Strategies Using Digital Twins in Additive Manufacturing
• Smart Process Control Using AI and Physics-Based Hybrid Models in Additive Manufacturing
• Reinforcement Learning for Adaptive Process Optimization in Additive Manufacturing
• Edge Computing and Real-Time Data Analytics for Smart Additive Manufacturing Systems
• Cyber-Physical Systems and Industrial IoT Integration in Additive Manufacturing
• Industrial Case Studies on AI, Digital Twins, and Smart Control in Additive Manufacturing
• Implementation Challenges, Standardization, and Certification in Data-Driven Additive Manufacturing
• Future Trends in AI-Enabled Digital Twins and Smart Manufacturing for Additive Manufacturing

Important Dates:
Abstract Submission (200 – 300 words) Deadline: June 20th, 2026
Notification of Acceptance: July 25th, 2026
Full Chapter (4,000 – 6,000 words) Submission Due: On or before October 15th, 2026


Submission procedure:
We invite researchers and practitioners to contribute original chapters to this book. Prospective authors are encouraged to submit a one-page chapter proposal or abstract outlining the proposed chapter’s content, objectives, and methodology by June 20th, 2026. Please include the chapter title and author details within the proposal. Authors will be notified regarding the acceptance of their proposals by: July 25th, 2026. Accepted authors will be required to submit completed chapters of 15 to 20 pages by October 15th, 2026. All submitted chapters will undergo a rigorous peer-review process.

To submit your proposal or full-length chapter, please send a Word document attachment to editors: chapters.aap2026@gmail.com



Authors must refer to the following link for detailed guidelines for chapter preparation:

https://appleacademicpress.com/download/AAP_MS_INSTRUX.pdf

https://appleacademicpress.com/download/AAP_Artificial_Intelligence
_AI_Declaration_Form_2026.pdf


Note: Authors submitting manuscripts to this book do not incur any publication fees. To ensure the originality and quality of the content, all submissions must be previously unpublished and not under consideration for publication in any other venue.



About the Authors / Editors:
Editors: Dr. Ayushi Thakur

Dr. Ayushi Thakur is an academician and researcher specializing in the additive manufacturing of smart materials. She has 12 years of academic and 2.5 years of industry experience. Her research focuses on advancing innovative fabrication techniques for intelligent and functional materials with applications in next-generation engineering systems. She has contributed to the scholarly community through publications in peer-reviewed journals, edited book chapters, and presentations at international conferences. Her major areas of experience include smart manufacturing, smart materials, manufacturing technologies, and engineering mechanics. Her work reflects a strong commitment to research excellence, interdisciplinary collaboration, and the integration of advanced manufacturing technologies into practical engineering solutions.

Dr. Sumit Gupta

Dr. Sumit Gupta is presently working as an Associate Professor in the Department of Mechanical Engineering, and Head (Research and Publications) in Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India. He worked as an Assistant Professor at G. D. Goenka University Gurguram. Dr. Gupta has over 15 years of teaching and research experience. He is graduated in Mechanical Engineering from University of Rajasthan and earned master’s as well as Doctorate degree from Malaviya National Institute of Technology Jaipur, India. He has published over 130 research papers in peer reviewed international journals as well as in reputed international and national conferences. A large number of students have completed their Summer Internships and B.Tech. Projects under my guidance. He has guided 15 M.Tech. and MBA Dissertations and 08 Ph.D. Scholars as well. Dr Gupta serves on the Editorial Advisory Board for Discover Sustainability, Springer. He also served as guest editor in IJFST Springer, Sustainability MDPI and IJLM Emerald. He is a reviewer of various reputed journals Journal of Cleaner Production, Business strategy and environment, International Journal of Productivity and Performance Management, British Food Journal, Resource policy etc. He is life member of Indian Institute of Industrial Engineering and Fellow of The Institution of Engineers (India). His areas of research are sustainable manufacturing, lean manufacturing, supply chain management and smart manufacturing, life cycle assessment (LCA) and sustainable materials.

Dr. Eswara Krishna Mussad

Dr. Eswara Krishna Mussada is currently serving as an Associate Professor at the Amity Institute of Technology, Amity University, Noida. He earned both his M.Tech and Ph.D. from the National Institute of Technology (NIT) Silchar. Dr. Mussada has contributed significantly to engineering research, with several publications in reputed SCI-indexed journals and funded research projects. He has successfully led funded projects supported by organizations such as SERB-DST and Rockman Industries, focusing on advanced manufacturing processes, surface finishing and thermal coating technologies. A recipient of the Best Teacher Award at BML Munjal University, Dr. Mussada is deeply committed to academic excellence and has mentored Ph.D. and M.Tech. scholars, Beyond his research and teaching roles, he actively engages with industry through consultancy work and has played a pivotal role in organizing workshops, seminars, and faculty development programs, thereby fostering a productive academia-industry interface.

Dr. Anoop Kumar Shukla

Dr. Anoop Kumar Shukla is currently an Assistant Professor in the Department of Mechanical Engineering at Amity University, Noida, India. Dr Shukla has over 12 years of teaching and research experience. He completed his M. Tech with distinction from Harcourt Butler Technological Institute (HBTI), Kanpur, and earned his Ph.D. from Dr. APJ Abdul Kalam Technical University, Lucknow, in 2017. His research interests include energy conversion, thermal management, combined power cycles, cogeneration, multigeneration, biofuels, fuel cells, and gas turbine cooling. Dr. Shukla has published six edited books by a reputed international publisher. He has published more than hundred research papers in prestigious SCI/Scopus-indexed journals and conference proceedings. He has supervised two Ph.D. scholars and 15 postgraduate dissertations. Currently, he is guiding two Ph.D. and two M. Tech students. He has also contributed book chapters to well-regarded publishers, including CRC Press, Springer, and Materials Research Forum. Dr. Shukla has actively participated in organizing and attending several international conferences and symposiums. He has served as a guest editor for the journals like Sustainable Energy Technologies and Assessments, Enhanced Heat Transfer, Frontiers in Energy Research, Energy Equipment Systems and is a dedicated reviewer for numerous leading international journals.




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