... strain distribution in the optimum blank shape. deep drawing finite element analysis genetic algorithms learning (artificial intelligence) neural nets plastic deformation production engineering computing sheet materials deep drawing multilayer sheets optimal blank GONNS FEM...

... epitaxial growth nanotechnology neural nets In this paper, we analyzed MBE based growth of MgO nanoscale thin films on 6 H -SiC substrate. A pair of neural-networks-based metamodels of the process are developed using the exploratory data. The paired t -tests confirm that the process...

... for the purposes of process automation and control. 07 05 2008 07 12 2008 13 07 2009 aluminium manufacture backpropagation genetic algorithms metal foams neural nets production engineering computing sintering aluminum foam open cells process parameters neural network...

...-6 , 87 ( 1 ), pp. 131 – 138 . Potocnik , P. , 2003 , “ Neural Net Based Hybrid Modeling of Methanol Syntesis Process ,” Neural Processing Letters , 11 , pp. 219 – 228 . Lauret , P. , Boyer , H. , and Gatina , J. C. , 2001 , “ Hybrid Modelling of the Sucrose Crystal...

... pipes production engineering computing neural nets pattern classification drawing (mechanical) edge detection image resolution programmable controllers noise abatement noise removal unwanted signal identification neural network pattern classification Continuous glass fibers were...

.... This replacement improved the speed of simulation significantly. 15 10 2003 09 02 2006 rolling simulated annealing backpropagation neural nets production engineering computing numerical analysis caliber rolling complex numerical analytical model back-propagation neural network...

...G. D. Buckner 04 03 2003 cutting machining mechanical variables control intelligent control neural nets robust control production control The author would like to include Benito R. Fernandez and Glenn Y. Masada, both from the Department of Mechanical Engineering...

.... 01 July 2000 01 Nov 2001 11 07 2002 position measurement measurement errors compensation neural nets machine theory Coordinate measuring machines are widely utilized in the modern manufacturing industry as versatile testing tools. With the development of computer...

... operations account for a significant portion of total manufacturing costs. In the U.S., the annual cost associated with material removal is estimated to be 10 percent of the GDP 3 . cutting machining mechanical variables control intelligent control neural nets robust control production...

... by the Manufacturing Engineering Division for publication in the JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING . Manuscript received April 1997; revised April 2000. Associate Editor: M. A. Elbestawi. 01 April 1997 01 April 2000 machine tools cutting neural nets fuzzy systems wear...

... welding neural nets manufacturing processes quality control size measurement Resistance spot welding (RSW) is widely used in the automotive industry. Due to the coupled electrical-thermal-mechanical nature, as shown in Fig. 1 , RSW has a great weakness, i.e., its inability to consistently...

... all these AE parameters, power spectral density of AE signals is more effective in tool condition monitoring 1 . acoustic emission wear wavelet transforms Fourier transforms tools cutting sensors neural nets 01 April 1996 01 Oct 1997 Contributed...