K.Raghuk
,
an
,
K.Hokamoto
,
J.S.Lee
,
A.Chiba
,
B.C.Pai
材料科学技术（英文）
Metal matrix composites (MMCs) offer extra strength and high temperature capabilities in comparison with unreinforced metals. Aluminum composites possess higher stiffness, strength, fatigue properties and low weight advantages. Carbon fiber reinforced Al composites (Al-Cf) and silicon carbide particulate reinforced Al composites (Al-SiCp) were shock densified using axisymmetric assemblies for underwater explosions. Unidirectional planar shock waves were applied to obtain uniform consolidation of the composites. The energy generator was a high explosive of 6.9 km/s detonation velocity. Irregular morphological powders of Al were the base material. The reinforcement ratio was 15 Vol. pct for Al-Cf composites and 30 Vol. pct for Al-SiCp composites. The microstructural and the strength characteristics of the shock consolidated Al composites are reported.
关键词:
Shock consolidation
,
null
,
null
,
null
R.Karthikeyan
,
S.Raju
,
R.S.Naagarazan
,
B.C.Pai
材料科学技术（英文）
In the present study an effort has been made to optimize the machining conditions for electric discharge machining of LM25 Al (7 Si, 0.33 Mg, 0.3 Mn, 0.5 Fe, 0.1 Cu, 0.1 Ni,.2 Ti) reinforced with green bonded SiC particles with approximate size of 25 mum. Polynomial models were developed for the various EDM characteristics such as metal removal rate, tool wear rate and surface roughness in terms of the process parameters such as volume fraction of SK, current and pulse time. The models were used to optimize the EDM characteristics using nonlinear goal programming.
关键词:
R.Karthikeyan
,
R.Adalarasan
,
B.C.Pai
材料科学技术（英文）
The present work is focused on optimization of machining characteristics of Al/SiCp composites. The machining characteristics such as specific energy, tool wear and surface roughness were studied. The parameters such as volume fraction of SiC, cutting speed and feed rate were considered. Artificial neural networks (ANN) were used to train and simulate the experimental data. Genetic algorithms (GA) was interfaced with ANN to optimize the machining conditions for the desired machining characteristics. Validation of optimized results was also performed by confirmation experiments.
关键词:
Al/SiCp composites
,
null
,
null
