Dry sliding wear characteristics evaluation and prediction of vacuum casted marble dust (MD) reinforced ZA-27 alloy composites using hybrid improved bat algorithm and ANN
出版年份 2020 全文链接
标题
Dry sliding wear characteristics evaluation and prediction of vacuum casted marble dust (MD) reinforced ZA-27 alloy composites using hybrid improved bat algorithm and ANN
作者
关键词
Marble dust, IBA, ANN, ZA-27 alloy, Tribology aspect
出版物
Materials Today Communications
Volume 25, Issue -, Pages 101615
出版商
Elsevier BV
发表日期
2020-09-03
DOI
10.1016/j.mtcomm.2020.101615
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Review of Microstructures and Properties of Zinc Alloys
- (2020) Annalisa Pola et al. Metals
- Rice Husk Ash reinforced Aluminium Matrix Composites: Fabrication, characterization, statistical analysis and artificial neural network modelling
- (2019) Mohd Bilal Naim Shaikh et al. Materials Research Express
- Development and properties evaluation of marble dust reinforced ZA-27 alloy composites for ball bearing applications
- (2019) Swati Gangwar et al. Materials Research Express
- A novel hybrid TOPSIS-PSI approach for material selection in marine applications
- (2019) Sukriti Yadav et al. SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
- A novel hybridization of artificial neural network and moth-flame optimization (ANN–MFO) for multi-objective optimization in magnetic abrasive finishing of aluminium 6060
- (2019) Rajneesh Kumar Singh et al. Journal of the Brazilian Society of Mechanical Sciences and Engineering
- SiC contents and pin temperature effect on tribological properties of Al25Zn/SiC composites
- (2019) Parmeshwar P. Ritapure et al. INTERNATIONAL JOURNAL OF REFRACTORY METALS & HARD MATERIALS
- Artificial neural network and regression modelling to study the effect of reinforcement and deformation on volumetric wear of red mud nano particle reinforced aluminium matrix composites synthesized by stir casting
- (2018) Gampala Satyanarayana et al. BOLETIN DE LA SOCIEDAD ESPANOLA DE CERAMICA Y VIDRIO
- Maximum Power Point Tracking for Photovoltaic Systems under Partial Shading Conditions Using Bat Algorithm
- (2018) Mehdi Seyedmahmoudian et al. Sustainability
- Zinc-aluminum (ZA-27)-based metal matrix composites: a review article of synthesis, reinforcement, microstructural, mechanical, and corrosion characteristics
- (2018) Seun Samuel Owoeye et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Tribological behaviour predictions of r-GO reinforced Mg composite using ANN coupled Taguchi approach
- (2017) V. Kavimani et al. JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
- Corrosion investigation of zinc−aluminum alloy matrix (ZA-27) reinforced with alumina (Al2O3) and fly ash
- (2016) Mohammed Almomani et al. PARTICULATE SCIENCE AND TECHNOLOGY
- Wear, friction and profilometer studies of insitu AA5052/ZrB 2 composites
- (2016) Narendra Kumar et al. TRIBOLOGY INTERNATIONAL
- Comparison of the sliding wear of a novel Zn alloy with that of two commercial Zn alloys against bearing steel and leaded brass
- (2016) Annalisa Pola et al. WEAR
- Tribological and Microstructure Examination of Environmental Waste (Marble Dust) Filled Silicon Bronze Alloy for Wear Resistant Applications
- (2016) Swati Gangwar et al. Silicon
- Influence of boron nitride nanoparticles on microstructure and wear behavior of AA6082/TiB 2 hybrid aluminum composites synthesized by friction stir processing
- (2016) R. Palanivel et al. MATERIALS & DESIGN
- Ratcheting-based microstructure-sensitive modeling of the cyclic hardening response of case-hardened bearing steels subject to Rolling Contact Fatigue
- (2015) Anup S. Pandkar et al. INTERNATIONAL JOURNAL OF FATIGUE
- Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing
- (2015) Doriana M. D’Addona et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Hybrid neural network-based prediction model for tribological properties of polyamide6-based friction materials
- (2015) Duxin Li et al. POLYMER COMPOSITES
- Experimental investigation and prediction of wear properties of Al/SiC metal matrix composites produced by thixomoulding method using Artificial Neural Networks
- (2014) Dursun Özyürek et al. MATERIALS & DESIGN
- Fabrication of in situ TiB2 particulates reinforced zinc alloy matrix composite
- (2014) Z.G. Li MATERIALS LETTERS
- Experimental and Prediction of Abrasive Wear Behavior of Sintered Cu-SiC Composites Containing Graphite by Using Artificial Neural Networks
- (2014) P. Senthil Kumar et al. TRIBOLOGY TRANSACTIONS
- Artificial neural network modeling to effect of reinforcement properties on the physical and mechanical properties of Al2024–B4C composites produced by powder metallurgy
- (2013) Temel Varol et al. COMPOSITES PART B-ENGINEERING
- Synthesis and characterization of sintered hybrid aluminium matrix composites reinforced with nanocopper oxide particles and microsilicon carbide particles
- (2013) T. Rajmohan et al. COMPOSITES PART B-ENGINEERING
- A study on processing, characterization and erosion wear behavior of silicon carbide particle filled ZA-27 metal matrix composites
- (2013) Srimant Kumar Mishra et al. MATERIALS & DESIGN
- Corrosion and wear behaviour of rice husk ash—Alumina reinforced Al–Mg–Si alloy matrix hybrid composites
- (2013) Kenneth Kanayo Alaneme et al. Journal of Materials Research and Technology-JMR&T
- Damage assessment of titania filled zinc–aluminum alloy metal matrix composites in erosive environment: A comparative study
- (2011) Amar Patnaik et al. MATERIALS & DESIGN
- Tribological Behavior of Composites Based on ZA-27 Alloy Reinforced with Graphite Particles
- (2009) Miroslav Babic et al. TRIBOLOGY LETTERS
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