Optimization of process parameters of Nd:YAG laser microgrooving of Al 2TiO5 ceramic material by response surface methodology and artificial neural network algorithm

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Volumn 221, Issue 8, 2007, Pages 1341-1351

  Dhupal, D ^a   Doloi, B ^a   Bhattacharyya, B ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Al2TiO5; Artificial neural networks; Design of experiments; Microgrooving; Pulsed Nd:YAG laser; Response surface methodology

Indexed keywords

BIOMEDICAL ENGINEERING; CERAMIC MATERIALS; DESIGN OF EXPERIMENTS; LASER PULSES; MICROMACHINING; NEURAL NETWORKS; SURFACE ANALYSIS;

AERO-ENGINE INDUSTRIES; MICROGROOVING; RESPONSE SURFACE METHODOLOGY; SURFACE METHODOLOGY;

SEMICONDUCTOR LASERS;

EID: 35549004542     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM814     Document Type: Article

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