Influence of fabric architecture on compressive and failure mechanism of Cf/Mg composite fabricated by LSEVI

اختصاصی از حامی فایل Influence of fabric architecture on compressive and failure mechanism of Cf/Mg composite fabricated by LSEVI دانلود با لینک مستقیم و پر سرعت .

Influence of fabric architecture on compressive and failure mechanism of C_f/Mg composite fabricated by LSEVI

ژورنال:Materials Science and Engineering: A

سال: January 2016

قیمت اصلی:41.95$

Abstract

Four kinds of C_f/Mg composites with different fabric architectures were fabricated by liquid–solid extrusion following vacuum infiltration (LSEVI) technique. The influence of fabric architecture on compressive properties of C_f/Mg composites was investigated, and the microstructure and failure surfaces were examined by SEM. The results showed that C_f/Mg composites were anisotropic material and the fabric architecture had great influence on their compressive performance. Moreover, fabric crimp had a negative influence on compressive properties of C_f/Mg composite. The composite with non-woven carbon fabric perform had the highest compressive strength (XY direction). Compared with 3 K plain-woven carbon cloth composite whose fiber bundles had 3000 monofilaments, 1 K plain-woven carbon cloth composite had better compressive properties. The analysis of failure surface indicated that the failure modes of C_f/Mg composites were mainly shear failure and delamination failure.

Keywords

Metallic matrix composites, Failure analysis, Fabric architecture, Mechanical properties

دانلود با لینک مستقیم

Influence of fabric architecture on compressive and failure mechanism of Cf/Mg composite fabricated by LSEVI

Influence fabric architecture compressive and failure mechanism Cf/Mg composite fabricated

yarafile دوشنبه 30 فروردین 1395 ساعت 23:39

0 نظر

Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS

اختصاصی از حامی فایل Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS دانلود با لینک مستقیم و پر سرعت .

Ranking and comparing evolutionary algorithms with Hellinger-TOPSIS

ژورنال: Applied Soft Computing

سال: December 2015

قیمت اصلی:35.95$

Abstract

When multiple algorithms are applied to multiple benchmarks as it is common in evolutionary computation, a typical issue rises, how can we rank the algorithms? It is a common practice in evolutionary computation to execute the algorithms several times and then the mean value and the standard deviation are calculated. In order to compare the algorithms performance it is very common to use statistical hypothesis tests. In this paper, we propose a novel alternative method based on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to support the performance comparisons. In this case, the alternatives are the algorithms and the criteria are the benchmarks. Since the standard TOPSIS is not able to handle the stochastic nature of evolutionary algorithms, we apply the Hellinger-TOPSIS, which uses the Hellinger distance, for algorithm comparisons. Case studies are used to illustrate the method for evolutionary algorithms but the approach is general. The simulation results show the feasibility of the Hellinger-TOPSIS to find out the ranking of algorithms under evaluation.