Jagadish – författare

This book offers a comprehensive exploration of the intricacies involved in conducting statistical analyses on Fused Deposition Modelling (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 (AM) processesIncludes experimental, analytical, and numerical analyses of novel green composite filaments for the 3D printing industriesCovers statistical analysis for green composites development using AMDeals with mechanical, thermal, and machinability of green composite filamentsAddresses green filaments in various AM applications and their challengesThis book is aimed at researchers and graduate students in composites, polymers, modelling, manufacturing, and materials engineering.

This book covers various multiple-criteria decision making (mcdm) methods for modeling and optimization of advanced manufacturing processes (AMPs). Processes such as non-conventional machining, rapid prototyping, environmentally conscious machining and hybrid machining are finally put together in a single book. It highlights the research advances and discusses the published literature of the last 15 years in the field. Case studies of real life manufacturing situations are also discussed.

Effects of green techniques / processes on machining properties like material removal rate, surface quality, geometric accuracy, productivity, and environment while machining various materials are reported.

This book covers manufacturing and processing of various natural filler-based polymer composites using conventional and advanced machining processes.

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.

This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques.Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.