Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites
出版年份 2015 全文链接
标题
Application of a Neural Network Model for Prediction of Wear Properties of Ultrahigh Molecular Weight Polyethylene Composites
作者
关键词
-
出版物
International Journal of Polymer Science
Volume 2015, Issue -, Pages 1-11
出版商
Hindawi Limited
发表日期
2015-10-13
DOI
10.1155/2015/315710
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Formulation of the Effect of Different Alloying Elements on the Tensile Strength of the in situ Al-Mg2Si Composites
- (2015) Halil Kurt et al. Metals
- Application of artificial neural networks to predict sliding wear resistance of Ni–TiN nanocomposite coatings deposited by pulse electrodeposition
- (2014) Xingyuan Li et al. CERAMICS INTERNATIONAL
- Comparative study of wear performance of particulate and fiber-reinforced nano-ZnO/ultra-high molecular weight polyethylene hybrid composites using response surface methodology
- (2014) Boon Peng Chang et al. MATERIALS & DESIGN
- Prediction of cutting tool wear, surface roughness and vibration of work piece in boring of AISI 316 steel with artificial neural network
- (2014) K. Venkata Rao et al. MEASUREMENT
- Effect of Filler Content on the Performance of Epoxy/PTW Composites
- (2014) Mudradi Sudheer et al. Advances in Materials Science and Engineering
- Modeling uniaxial compressive strength of building stones using non-destructive test results as neural networks input parameters
- (2013) Murat Yurdakul et al. CONSTRUCTION AND BUILDING MATERIALS
- Tribological Behavior of UHMWPE Reinforced with Graphene Oxide Nanosheets
- (2012) Zhixin Tai et al. TRIBOLOGY LETTERS
- Comparative study of micro- and nano-ZnO reinforced UHMWPE composites under dry sliding wear
- (2012) Boon-Peng Chang et al. WEAR
- Artificial neural networks for predicting sliding friction and wear properties of polyphenylene sulfide composites
- (2011) Lada A. Gyurova et al. TRIBOLOGY INTERNATIONAL
- Effect of Different Parameters on Mechanical and Erosion Wear Behavior of Bamboo Fiber Reinforced Epoxy Composites
- (2011) Anu Gupta et al. International Journal of Polymer Science
- Prediction of Tensile Property of Hydrogenated Ti600 Titanium Alloy Using Artificial Neural Network
- (2010) Y. Sun et al. JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
- Characterization of Stir Cast Al—Cu—(fly ash + SiC) Hybrid Metal Matrix Composites
- (2009) K.V. Mahendra et al. JOURNAL OF COMPOSITE MATERIALS
- Properties of thermally conductive micro and nano size boron nitride reinforced silicon rubber composites
- (2009) Sebnem Kemaloglu et al. THERMOCHIMICA ACTA
- Improved wear resistance of orthopaedic UHMWPE by reinforcement with zirconium particles
- (2009) Kevin Plumlee et al. WEAR
- Prediction of density, porosity and hardness in aluminum–copper-based composite materials using artificial neural network
- (2008) Adel Mahamood Hassan et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
- Neural network modeling of strength enhancement for CFRP confined concrete cylinders
- (2007) Abdulkadir Cevik et al. BUILDING AND ENVIRONMENT
- Neural network modeling of arc spot welding
- (2007) Abdulkadir Cevik et al. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started