TY - GEN AU - Salmi,Mika AU - Salmi,Mika TI - Modeling, Simulation and Data Processing for Additive Manufacturing SN - books978-3-0365-2948-6 PY - 2022/// CY - Basel PB - MDPI - Multidisciplinary Digital Publishing Institute KW - History of engineering & technology KW - bicssc KW - selective laser melting KW - finite element analysis KW - thermodynamic behavior KW - substrate preheating KW - scanning strategy KW - 24CrNiMo alloy steel KW - additive manufacturing KW - rapid manufacturing KW - rapid prototyping KW - 3D printing KW - medical KW - implants KW - dental KW - processes KW - methods KW - clinical KW - laser additive manufacturing KW - Inconel 718 KW - pure Ti KW - finite element modeling KW - melt-pool formation KW - thermo-mechanical modelling KW - residual stresses KW - microstructure KW - Ti-6Al-4V KW - acoustics KW - porous materials KW - material extrusion KW - design for additive manufacturing KW - sound absorption KW - artificial neural network KW - machine learning KW - quality control management KW - process optimization KW - computing techniques KW - ICT systems KW - laser powder bed fusion (LPBF) KW - benchmark test artifact KW - numerical simulations KW - dimensional metrology KW - geometric dimensioning and tolerancing (GD&T) KW - selective laser melting (SLM) KW - lattice structure KW - bimetallic composite KW - mechanical properties KW - finite element analysis (FEA) KW - digital image correlation (DIC) KW - hybrid manufacturing KW - inconel 625 KW - EDS microanalysis KW - automatic image analysis KW - laser melting KW - laser sintering KW - AlSi10Mg KW - PA12 KW - Round-Robin KW - n/a N1 - Open Access N2 - Additive manufacturing (AM) or, more commonly, 3D printing is one of the fundamental elements of Industry 4.0. and the fourth industrial revolution. It has shown its potential example in the medical, automotive, aerospace, and spare part sectors. Personal manufacturing, complex and optimized parts, short series manufacturing and local on-demand manufacturing are some of the current benefits. Businesses based on AM have experienced double-digit growth in recent years. Accordingly, we have witnessed considerable efforts in developing processes and materials in terms of speed, costs, and availability. These open up new applications and business case possibilities all the time, which were not previously in existence. Most research has focused on material and AM process development or effort to utilize existing materials and processes for industrial applications. However, improving the understanding and simulation of materials and AM process and understanding the effect of different steps in the AM workflow can increase the performance even more. The best way of benefit of AM is to understand all the steps related to that-from the design and simulation to additive manufacturing and post-processing ending the actual application.The objective of this Special Issue was to provide a forum for researchers and practitioners to exchange their latest achievements and identify critical issues and challenges for future investigations on "Modeling, Simulation and Data Processing for Additive Manufacturing". The Special Issue consists of 10 original full-length articles on the topic UR - https://mdpi.com/books/pdfview/book/4846 UR - https://directory.doabooks.org/handle/20.500.12854/78754 ER -