Journal Article10.1016/J.CIRP.2013.05.006
Recent advances in modelling of metal machining processes
Pedro José Arrazola,Tuğrul Özel,Domenico Umbrello,Domenico Umbrello,Matthew A. Davies,I.S. Jawahir +5 more
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TL;DR: In this article, the state-of-the-art in predictive performance models for machining operations is presented, and a critical assessment of the relevant modelling techniques and their applicability and/or limitations for the prediction of the complex machining operation performed in industry.
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About: This article is published in CIRP Annals. The article was published on 01 Jan 2013. The article focuses on the topics: Machining.
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Citations
Cryogenic manufacturing processes
I.S. Jawahir,Helmi Attia,Dirk Biermann,Joost Duflou,Fritz Klocke,Daniel Meyer,Stephen T. Newman,Franci Pušavec,Matthias Putz,Joël Rech,Volker Schulze,Domenico Umbrello +11 more
TL;DR: An overview of major cryogenic manufacturing processes, summarizing the state-of-the-art and significant developments during the last few decades, is presented in this article, with a summary of historic perspectives, including definitions, scope, and analysis of process mechanics and material performance covering tribological and thermo-mechanical interactions.
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Virtual process systems for part machining operations
TL;DR: In this paper, the authors present an overview of recent developments in simulating machining and grinding processes along the NC tool path in virtual environments, and present the present and future challenges to achieving a more accurate and efficient virtual machining process simulation and optimization system.
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Simulation of metallic powder bed additive manufacturing processes with the finite element method: A critical review
Babis Schoinochoritis,Dimitrios Chantzis,Konstantinos Salonitis +2 more
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TL;DR: In this paper, a literature review of finite element simulation studies for metallic powder bed additive manufacturing processes is presented, where various approaches in the numerical modeling of the processes and the selection of materials properties are presented in detail.
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Prediction and optimization of machining parameters for minimizing power consumption and surface roughness in machining
Girish Kant,Kuldip Singh Sangwan +1 more
TL;DR: In this article, a multi-objective predictive model for the minimization of power consumption and surface roughness in machining, using grey relational analysis coupled with principal component analysis and response surface methodology, to obtain the optimum machining parameters.
280
Advances in material and friction data for modelling of metal machining
Shreyes N. Melkote,Wit Grzesik,José Outeiro,Joël Rech,Volker Schulze,Helmi Attia,Pedro-J. Arrazola,Rachid M'Saoubi,Christopher Saldana +8 more
TL;DR: Phenomenological and physically-based constitutive models commonly used in machining simulations are presented and discussed and thermo-physical properties for thermal modelling of the machining process, and microstructure data for the chip and workpiece together with relevant experimental methods are discussed.
258
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