Advances in Simulation, Product Design and Development : Proceedings of AIMTDR 2018 / edited by M. S. Shunmugam, M. Kanthababu
Contributor(s): SpringerLink (Online service)
| Shunmugam, M. S, editor | Kanthababu, M, editor
Material type:
E-bookSeries: (Lecture Notes on Multidisciplinary Industrial Engineering, 2522-5022); (Engineering (Springer-11647)).Publisher: Singapore : Springer, 2020Edition: Primera edición 2020.Description: 1 recurso en línea (XXI, 854 páginas) : 554 ilustraciones, 452 ilustraciones a color..ISBN: 9789813294875.Subject: Control automático -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TJ1180 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook28022171 |
Some Investigations on Drilling of Aluminium Alloy from FEA Based Simulation Using Deform-3D -- Self-Organizing Migrating Algorithm to Minimize Module Changes at Machine-Level in Reconfigurable Manufacturing -- Modelling and Simulation of Deep Drawing Process of Circular Cup on AL1200 using Finite Element Analysis -- Numerical Investigation on Single Point Incremental Forming (SPIF) of Tailor Welded Blanks (TWBs) -- Force and Thermal Variational Analysis by FE Approach on Dry Turning of Inconel -- Experimental Investigation and Finite Element Modeling of Electrical Discharge Machining using Hollow Electrodes and Injection Flushing -- Experimental and Numerical Characterization of Residual Stresses in Tailor Welded Blanks After Springback -- Prediction of Cutting Forces in Micro Milling of P-20 Steel by TiAlN Coated WC Tool: An Analytical Approach.
This volume comprises select proceedings of the 7th International and 28th All India Manufacturing Technology, Design and Research conference 2018 (AIMTDR 2018). The papers in this volume discuss simulations based on techniques such as finite element method (FEM) as well as soft computing based techniques such as artificial neural network (ANN), their optimization and the development and design of mechanical products. This volume will be of interest to researchers, policy makers, and practicing engineers alike.
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