An investigation into the influence of processing parameters on the surface quality of AlSi10Mg parts by SLM process
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8665866/8666961/08667175.pdf?arnumber=8667175
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Multi-objective Optimization of Process Parameters for Surface Quality and Geometric Tolerances of AlSi10Mg Samples Produced by Additive Manufacturing Method Using Taguchi-Based Gray Relational Analysis;Arabian Journal for Science and Engineering;2024-08-05
2. Controlled Porosity of Selective Laser Melting-Produced Thermal Pipes: Experimental Analysis and Machine Learning Approach for Pore Recognition on Pipes Surfaces;Sensors;2024-07-31
3. Effects of process parameters on the surface characteristics of laser powder bed fusion printed parts: machine learning predictions with random forest and support vector regression;The International Journal of Advanced Manufacturing Technology;2024-07-05
4. Incorporating surface roughness into numerical modeling for predicting fatigue properties of L-PBF AlSi10Mg specimens;Engineering Failure Analysis;2024-07
5. Investigating the surface roughness of 3D printed metal parts in case of thin 20 µm build layer thickness;Journal of Materials Research;2023-12-18
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