Machine learning approaches for predicting mechanical properties in additive manufactured lattice structures

B. Veera Siva Reddy; Ameer Malik Shaik; C. Chandrasekhara Sastry; J. Krishnaiah; Chirag Anil Bhise; B. Ramakrishna

doi:10.1016/j.mtcomm.2024.109937

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Machine learning approaches for predicting mechanical properties in additive manufactured lattice structures

B. Veera Siva Reddy Ameer Malik Shaik C. Chandrasekhara Sastry J. Krishnaiah Chirag Anil Bhise B. Ramakrishna

Year: 2024 Journal: Materials Today Communications Vol: 40 Pages: 109937-109937 Publisher: Elsevier BV

DOI: 10.1016/j.mtcomm.2024.109937

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Keywords:

Materials science Vickers hardness test Surface roughness Lattice (music) Inverse Diamond Diamond cubic Microstructure Machine learning Surface finish Mechanical engineering Artificial intelligence Statistical physics Composite material Computer science Geometry Mathematics Acoustics

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Additive Manufacturing and 3D Printing Technologies

Physical Sciences → Engineering → Automotive Engineering

Cellular and Composite Structures

Physical Sciences → Engineering → Mechanical Engineering

Additive Manufacturing Materials and Processes

Physical Sciences → Engineering → Mechanical Engineering

Machine learning approaches for predicting mechanical properties in additive manufactured lattice structures

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