Technological implications of the Rosenthal solution for a moving point heat source in steady state on a semi-infinite solid

被引:7
|
作者
Moda, Mattia [1 ]
Chiocca, Andrea [1 ]
Macoretta, Giuseppe [1 ]
Monelli, Bernardo Disma [1 ]
Bertini, Leonardo [1 ]
机构
[1] Univ Pisa, Dept Civil & Ind Engn, Largo Lucio Lazzarino 2, I-56122 Pisa, Italy
关键词
Rosenthal solution; Welding; Additive manufacturing; Process optimization; Porosity; MELTING PROCESS PARAMETERS; PREDICTING SEAM GEOMETRY; CRACK GROWTH-BEHAVIOR; SELECTIVE LASER; MECHANICAL-PROPERTIES; INCONEL; 718; ALUMINUM-ALLOY; RESIDUAL-STRESS; STAINLESS-STEEL; T-JOINTS;
D O I
10.1016/j.matdes.2022.110991
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper introduces a theoretical framework for the analysis and optimization of melting processes that use focused moving heat sources. Specifically, we consider the Rosenthal solution for a moving point heat source in steady state on a semi-infinite solid. Firstly, we analyze the feasibility of the thermal problem while constraining the melt pool size and aspect ratio. We then express the maximum allowable velocity and the corresponding power as explicit functions of the constraints and material properties. Finally, we examine a wide range of melting processes within a dimensionless framework derived from the above solution. The paper concludes with an application example concerning lack of fusion porosity in powder bed fusion additive manufacturing, which shows the reliability of analytical estimates despite the com-plexity of the underlying physics. This makes it possible to outline a direct procedure for optimizing the main process parameters given a few basic requirements. Ultimately, the proposed methods are not intended to replace other modeling and experimental approaches, but rather to complement their capa-bilities and encourage more efficient use of available resources. In addition, reframing seemingly different problems within a common perspective can improve understanding, reveal new levels of similarity, and sometimes even allow for global solutions.(c) 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/).
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页数:16
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