Fr. 297.00

Innovative Design of Mechanical Automation Equipment - Select Proceedings of the 5th International Conference, MEMAT 2024

English · Paperback / Softback

Will be released 11.03.2026

Description

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This volume presents select proceedings from the 5th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2024), held in Nanjing, China. This volume is focused on the rapidly evolving domains of intelligent mechanical designs with automation intelligence. The book captures cutting-edge research, emerging technologies, and interdisciplinary innovations that are shaping the future of engineering. The book covers a wide spectrum of topics from intelligent mechatronics and micro-machining technologies to advanced control algorithms and fault diagnosis systems. This volume showcases pioneering approaches to integrating mechanical design with automation intelligence. Readers will gain a comprehensive understanding of how digital manufacturing tools (CAx, CAPP, MES, DES), integrated systems, and electric automation principles are reshaping production environments across sectors. The book serves as a valuable resource for researchers, engineers, and professionals for navigating the future of mechanical automation design.

List of contents

Vehicle Form Generation Algorithm and Application Based on Diffusion Models.- FPGA design and implementation of multi-analog-to-digital converter data communication system based on EPICS.- Control System Design of a Feed-Pushing Robot Based on ROS2 and STM32.- IoT-Based Digital Twin System for Harvesting Robots.- Static calibration of thin-film thermocouples with different hot junction temperatures is used to analyze the Seebeck coefficient.- Determination of the optimal rotational speed of the rollers in the active counter-roller spinning process.- Anomalous Temperature Analysis System Design of Belt Conveyor Based on SO Snake Optimization Algorithm.- Self-driving Model for Safe Driving in High Density Traffic Environment.- Research on garbage classification based on improved MNFN algorithm.- Novel Particle swarm optimization with differential evolution operators.- etc.

About the author










Sanjay Yadav obtained his M.Sc. in Physics in 1985 and completed his Ph.D. in 1990. He currently serves as the Editor-in-Chief of MAPAN: The Journal of the Metrology Society of India. He also holds the positions of Vice President of both the Metrology Society of India (MSI), New Delhi, and the Ultrasonic Society of India (USI), New Delhi. Dr. Yadav is the former Chief Scientist and Head of the Physico-Mechanical Metrology Division at the National Physical Laboratory (NPL), and a former Professor at the Faculty of Physical Sciences, Academy of Scientific and Innovative Research (AcSIR), HRDG, Ghaziabad. He has received numerous national and international awards and scholarships. His notable contributions span pressure metrology, biomedical instrumentation, ultrasonic transducers, and instrumentation systems. His current research interests include R&D in physico-mechanical measurements, as well as the establishment, realization, maintenance, and upgrading of national pressure and vacuum standards. Dr. Yadav has published over 450 research papers in reputed journals and conferences, authored 20 books, secured 14 patents and copyrights, supervised eight Ph.D. students (with five more currently in progress), and contributed to numerous scientific projects, reports, technical documents, and policy papers.

Shubin Yan is a Professor and doctoral supervisor, primarily engaged in research in micro- and nano-optical quantum sensing, micro- and nano-manufacturing, and instrument science. His current research interests include molecular and atomic physics, quantum sensing, micro- and nano-technologies, high-Q optical microcavity sensor theory, and system integration. In recent years, he has published 166 academic papers in domestic and international journals. He holds 42 authorized national invention patents, has contributed to one academic monograph, and edited two textbooks. Prof. Yan has led six projects funded by the National Natural Science Foundation of China, including five surface projects and one major research initiative on nanomanufacturing science. He has also presided over 16 provincial and ministerial projects and served as a sub-project leader for one national major research plan under the Ministry of Science and Technology. Additionally, he has participated in four national 973 preliminary research projects, five National Natural Science Foundation projects, and twelve other provincial and ministerial research initiatives.

V.K. Chawla earned his Ph.D. from NIT Kurukshetra, an M.Tech. in Production Engineering from DITE, Delhi, a PGDBA in Operations Management from Symbiosis, Pune, and a B.Tech. in Mechanical Engineering from AKGEC, affiliated with U.P. Technical University. He has been associated with this university as a faculty member since 2012. Prior to his academic career, he worked in the automotive industry for four years. He has extensive teaching experience at both graduate and postgraduate levels, along with industrial expertise in the design and development of press tools and in managing new product development lines for end-to-end solutions in the automobile and FMCG sectors. He serves as the faculty advisor for the SAE and ASME student chapters at IGDTUW and is a member of professional bodies including the Society of Automotive Engineers and ASME. Dr. Chawla has authored more than 80 research papers and patents, published in reputed international journals, and has supervised three Ph.D. scholars. His research interests include production engineering, operations management, new product development, flexible manufacturing systems, fault diagnosis, metrological aspects in machinery, and sustainable project management.


Summary

This volume presents select proceedings from the 5th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2024), held in Nanjing, China. This volume is focused on the rapidly evolving domains of intelligent mechanical designs with automation intelligence. The book captures cutting-edge research, emerging technologies, and interdisciplinary innovations that are shaping the future of engineering. The book covers a wide spectrum of topics—from intelligent mechatronics and micro-machining technologies to advanced control algorithms and fault diagnosis systems. This volume showcases pioneering approaches to integrating mechanical design with automation intelligence. Readers will gain a comprehensive understanding of how digital manufacturing tools (CAx, CAPP, MES, DES), integrated systems, and electric automation principles are reshaping production environments across sectors. The book serves as a valuable resource for researchers, engineers, and professionals for navigating the future of mechanical automation design.

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