Wire electrical discharge machining (WEDM) is a special form of traditional electrical discharge machining in which the electrode is a continuously moving conducting wire. The mechanism of metal removal in wire electrical discharge machining involves the complex erosion effect from electric sparks generated by a pulsating direct current power supply. The sparks generated between two closely spa...

Abstract A magnetic abrasive finishing is a non-traditional technology utilizes flexible brush comprises of particles under the influence field to perform nano-finishing. The material removal ( MR ) and percentage change in surface roughness (%∆ R are responses governing efficiency process. But, high during operation leads loss form/shape finished surface. compromise has be made considering two...

In this paper, a successive discharge material removal model is proposed to predict the surface roughness of EN-GJL-250 (gray cast iron) under different parameters wire-cut electrical machining (WEDM). Firstly, finite element method (FEM) was used analogue simulate distribution temperature and flow field in WEDM single pulse process. According principle energy conservation, morphology character...

mental data are given, the majority of these coming from agricultural experiments, but some being data from medical investigations. The book contains 17 chapters in all. The first three consist of an introduction, an account of methods of increasing the accuracy of experiments, and the review referred to above of methods of statistical analysis. The remaining 14 chapters give the detailed accou...

The prediction of extreme crest elevations is fundamental to the design of marine structures, irrespective of whether they are intended for deep-water offshore locations or shallow-water coastal locations. In undertaking design extreme crest elevations, specified in terms of either a 1 in 100 year or 1 in 10,000 year event, are relevant to both the overall geometry of the structure, particularl...

We seek to quantify both the classification performance and estimation error robustness of the authors’ tomographic classifier fusion methodology by contrasting it in field tests and model scenarios with the sum and product classifier fusion methodologies. In particular, we seek to confirm that the tomographic methodology represents a generally optimal strategy across the entire range of proble...