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A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion
Research article (The International Journal of Advanced Manufacturing Technology, 2023) · cited 15× · AI/ML
A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion
Summary
A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion is a scholarly article[1].
Key Facts
A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-framework-using-fem-and-machine-learning-models-with-experimental-verification-for-inconel-718-rapid-part-qualif
MLA“A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-framework-using-fem-and-machine-learning-models-with-experimental-verification-for-inconel-718-rapid-part-qualif.
BibTeX@misc{4ortxyz_a-novel-framework-using-fem-and-machine-learning-models-with-experimental-verification-for-inconel-718-rapid-part-qualif_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-framework-using-fem-and-machine-learning-models-with-experimental-verification-for-inconel-718-rapid-part-qualif}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel framework using FEM and machine learning models with experimental verification for Inconel-718 rapid part qualification by laser powder bed fusion — https://4ort.xyz/entity/a-novel-framework-using-fem-and-machine-learning-models-with-experimental-verification-for-inconel-718-rapid-part-qualif (retrieved 2026-05-24)
