Recent Advances in Intelligent Manufacturing (eBook, PDF)
Select Proceedings of ICAME 2022
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Recent Advances in Intelligent Manufacturing (eBook, PDF)
Select Proceedings of ICAME 2022
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The book presents the select proceedings of the International Conference on Advancement in Manufacturing Engineering (ICAME) 2022 held at National Institute of Technology Delhi, India, during September 2–3, 2022. It discusses the latest research in the area of industrial and production engineering. Various topics covered in this book are precision engineering, additive manufacturing, computer-aided manufacturing, digital manufacturing, intelligent control systems and optimization, flexible manufacturing system, smart manufacturing, hybrid machining, smart materials, polymers, ceramics and…mehr
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The book presents the select proceedings of the International Conference on Advancement in Manufacturing Engineering (ICAME) 2022 held at National Institute of Technology Delhi, India, during September 2–3, 2022. It discusses the latest research in the area of industrial and production engineering. Various topics covered in this book are precision engineering, additive manufacturing, computer-aided manufacturing, digital manufacturing, intelligent control systems and optimization, flexible manufacturing system, smart manufacturing, hybrid machining, smart materials, polymers, ceramics and composites and their processing, energy harvesting materials, design thinking and prototyping, product life cycle strategies, Industry 4.0, etc. The book is useful for researchers and professionals working in the area of industrial and production engineering.
Produktdetails
- Produktdetails
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 21. Juli 2023
- Englisch
- ISBN-13: 9789819913084
- Artikelnr.: 68461637
- Verlag: Springer Nature Singapore
- Erscheinungstermin: 21. Juli 2023
- Englisch
- ISBN-13: 9789819913084
- Artikelnr.: 68461637
Dr. Harish Kumar is currently working as Associate Professor at National Institute of Technology Delhi. He has more than 18 years of research and academic experience and served as Scientist at different grades in CSIR—National Physical Laboratory, India (NPLI). He has been Active Researcher in the area of mechanical measurement and metrology. He has worked as Guest Researcher at National Institute of Standards and Technology, USA, in 2016. He has been instrumental in ongoing redefinition of kilogram in India. He has authored more than 100 publications in peer-reviewed journals and conferences. He is Active Researcher in the area of additive manufacturing. He has served as Guest Editor of different journals and conference proceedings volumes including Mapan—Journal of Metrology Society of India, Materials Today: Proceedings (Elsevier), Lecture Notes in Mechanical Engineering (Springer), Smart Innovation, Systems and Technologies (Springer), Advanced Science, Engineering and Medicine (American Scientific Publishers), etc. He has been serving as Associate Editor of the Mapan—Journal of Metrology Society of India.
Dr. Prashant K Jain is currently Professor at Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. He obtained his B.E. (Mechanical Engineering) from Dr. H. S. Gour University, Sagar, M.E. (Advanced Production Systems) from SATI, Vidisha, and Ph.D. from Indian Institute of Technology Delhi, Delhi. He also has served at IIT Delhi as Project Scientist and at Delhi College of Engineering, Delhi (now Delhi Technological University, Delhi) as Lecturer. His major research interests include rapid prototyping /additive manufacturing, geometric modeling, CAD/CAM integration, computational geometry, rapid prototyping, and tooling. He has more than 85 publications to his credit, published in international peer-reviewed journals, and national and international conferences in India and abroad.
Dr. Saurav Goel, FHEA, CEng, is a Professor at London South Bank University (LSBU) and Associate Director of the EPSRC NetworkPlus in Digitalised Surface Manufacturing (EP/S036180/1). He is Visiting Professor at IIT Guwahati and Shiv Nadar University in India. He is also Fellow of the Higher Education Academy and Chartered Engineer. His thematic research on “Material Oriented Manufacturing” at the confluent of experiments and atomic modeling focuses on creating socially responsible STEM professionals and to deploy the use of science for the benefit of society. He started working toward this mission by implementing new EDI policies in the Centre of Doctoral Training in Ultra-Precision (EP/K503241/1 and EP/L016567/1) at Cranfield University. He is currently a Co-I on three EPSRC research projects, one of which aims to generate affordable healthcare solutions by developing novel heterostructure scintillators as next-generation radiation detectors for the TOF-PET imaging systems (EP/S013652/1). He is also looking at addressing social issues such as gender imbalance in an ODA country like India via a Royal Academy of Engineering (IAPP18-19\295) UK-India collaborative project and has secured the Prestigious Newton Fellowship Award from the Royal Society (NIF\R1\191571) to model the “science of interfaces” in surface manufacturing. More recently, he joined hands with NHS in developing COVID-19-resistant biosafe surfaces for which he secured an Engineering Pandemic Preparedness Award from ^2500 citations (Google Scholar). His research is strongly supported by various industries like Airbus and NPL who have provided him with an EPSRC I Case studentship as well as research organizations like STFC who have part-funded his doctorate students. He is currently maintaining a research group of 10 people (4 PDRA's, 6 Ph.D. students) with 50% gender balance.
Dr. Prashant K Jain is currently Professor at Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur. He obtained his B.E. (Mechanical Engineering) from Dr. H. S. Gour University, Sagar, M.E. (Advanced Production Systems) from SATI, Vidisha, and Ph.D. from Indian Institute of Technology Delhi, Delhi. He also has served at IIT Delhi as Project Scientist and at Delhi College of Engineering, Delhi (now Delhi Technological University, Delhi) as Lecturer. His major research interests include rapid prototyping /additive manufacturing, geometric modeling, CAD/CAM integration, computational geometry, rapid prototyping, and tooling. He has more than 85 publications to his credit, published in international peer-reviewed journals, and national and international conferences in India and abroad.
Dr. Saurav Goel, FHEA, CEng, is a Professor at London South Bank University (LSBU) and Associate Director of the EPSRC NetworkPlus in Digitalised Surface Manufacturing (EP/S036180/1). He is Visiting Professor at IIT Guwahati and Shiv Nadar University in India. He is also Fellow of the Higher Education Academy and Chartered Engineer. His thematic research on “Material Oriented Manufacturing” at the confluent of experiments and atomic modeling focuses on creating socially responsible STEM professionals and to deploy the use of science for the benefit of society. He started working toward this mission by implementing new EDI policies in the Centre of Doctoral Training in Ultra-Precision (EP/K503241/1 and EP/L016567/1) at Cranfield University. He is currently a Co-I on three EPSRC research projects, one of which aims to generate affordable healthcare solutions by developing novel heterostructure scintillators as next-generation radiation detectors for the TOF-PET imaging systems (EP/S013652/1). He is also looking at addressing social issues such as gender imbalance in an ODA country like India via a Royal Academy of Engineering (IAPP18-19\295) UK-India collaborative project and has secured the Prestigious Newton Fellowship Award from the Royal Society (NIF\R1\191571) to model the “science of interfaces” in surface manufacturing. More recently, he joined hands with NHS in developing COVID-19-resistant biosafe surfaces for which he secured an Engineering Pandemic Preparedness Award from ^2500 citations (Google Scholar). His research is strongly supported by various industries like Airbus and NPL who have provided him with an EPSRC I Case studentship as well as research organizations like STFC who have part-funded his doctorate students. He is currently maintaining a research group of 10 people (4 PDRA's, 6 Ph.D. students) with 50% gender balance.
Exploring the Constructs and Measures of Innovation Management in Indian MSMEs.- Integrated MCDM model for prioritization of new electric vehicle selection.- LSTM Based Predictive Maintenance Approach for Zero Breakdown in Foundry Line Through Industry 4.0.- Taguchi coupled GRA based optimization of shoulder milling process parameters during machining of SS-304.- Batch Reactor System (BRS): Effective Conversion of Used Cooking Oil into Biodiesel in Presence of Different Catalyst.- Drivers of Industry 4.0 Operations for Logistics Management: An Analysis of critical performance indicators for Last Mile Delivery.- Stable zone identification during machining on CNC lathe using ANFIS.- A Compherehive Study on Supply Chain Management Using Artificial Intelligence: An Indian Railway Perspective.- A Quantification of Supply Chain Management Factors Using Artificial Intelligence.- Preparation and Characterization of CuO-Au Hybrid Nanofluid with Different Mixing Ratio.
Exploring the Constructs and Measures of Innovation Management in Indian MSMEs.- Integrated MCDM model for prioritization of new electric vehicle selection.- LSTM Based Predictive Maintenance Approach for Zero Breakdown in Foundry Line Through Industry 4.0.- Taguchi coupled GRA based optimization of shoulder milling process parameters during machining of SS-304.- Batch Reactor System (BRS): Effective Conversion of Used Cooking Oil into Biodiesel in Presence of Different Catalyst.- Drivers of Industry 4.0 Operations for Logistics Management: An Analysis of critical performance indicators for Last Mile Delivery.- Stable zone identification during machining on CNC lathe using ANFIS.- A Compherehive Study on Supply Chain Management Using Artificial Intelligence: An Indian Railway Perspective.- A Quantification of Supply Chain Management Factors Using Artificial Intelligence.- Preparation and Characterization of CuO-Au Hybrid Nanofluid with Different Mixing Ratio.
Exploring the Constructs and Measures of Innovation Management in Indian MSMEs.- Integrated MCDM model for prioritization of new electric vehicle selection.- LSTM Based Predictive Maintenance Approach for Zero Breakdown in Foundry Line Through Industry 4.0.- Taguchi coupled GRA based optimization of shoulder milling process parameters during machining of SS-304.- Batch Reactor System (BRS): Effective Conversion of Used Cooking Oil into Biodiesel in Presence of Different Catalyst.- Drivers of Industry 4.0 Operations for Logistics Management: An Analysis of critical performance indicators for Last Mile Delivery.- Stable zone identification during machining on CNC lathe using ANFIS.- A Compherehive Study on Supply Chain Management Using Artificial Intelligence: An Indian Railway Perspective.- A Quantification of Supply Chain Management Factors Using Artificial Intelligence.- Preparation and Characterization of CuO-Au Hybrid Nanofluid with Different Mixing Ratio.
Exploring the Constructs and Measures of Innovation Management in Indian MSMEs.- Integrated MCDM model for prioritization of new electric vehicle selection.- LSTM Based Predictive Maintenance Approach for Zero Breakdown in Foundry Line Through Industry 4.0.- Taguchi coupled GRA based optimization of shoulder milling process parameters during machining of SS-304.- Batch Reactor System (BRS): Effective Conversion of Used Cooking Oil into Biodiesel in Presence of Different Catalyst.- Drivers of Industry 4.0 Operations for Logistics Management: An Analysis of critical performance indicators for Last Mile Delivery.- Stable zone identification during machining on CNC lathe using ANFIS.- A Compherehive Study on Supply Chain Management Using Artificial Intelligence: An Indian Railway Perspective.- A Quantification of Supply Chain Management Factors Using Artificial Intelligence.- Preparation and Characterization of CuO-Au Hybrid Nanofluid with Different Mixing Ratio.