Investigation and Optimization of Tribo-Mechanical Behavior of Squeeze Casted Al-Si Piston Alloy based Metal Matrix Composite using Response Surface Methodology and Neural Network

IF 1.2 4区 材料科学 Q4 CHEMISTRY, PHYSICAL Surface Review and Letters Pub Date : 2023-07-04 DOI:10.1142/s0218625x23500828
K. Pratheesh
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基于响应面法和神经网络的挤压铸造铝硅活塞合金基金属基复合材料摩擦力学行为研究与优化
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来源期刊
Surface Review and Letters
Surface Review and Letters 工程技术-物理:凝聚态物理
CiteScore
2.20
自引率
9.10%
发文量
139
审稿时长
4.2 months
期刊介绍: This international journal is devoted to the elucidation of properties and processes that occur at the boundaries of materials. The scope of the journal covers a broad range of topics in experimental and theoretical studies of surfaces and interfaces. Both the physical and chemical properties are covered. The journal also places emphasis on emerging areas of cross-disciplinary research where new phenomena occur due to the presence of a surface or an interface. Representative areas include surface and interface structures; their electronic, magnetic and optical properties; dynamics and energetics; chemical reactions at surfaces; phase transitions, reconstruction, roughening and melting; defects, nucleation and growth; and new surface and interface characterization techniques.
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