Since the turn of the century, many manufacturing processes have been systematically and scientifically analysed, with new ones being developed at the same time. This was done with the aim of achieving, through a high measure of innovation, a maximum efficiency in association with current economic manufacturing conditions. There has recently been growing awareness of the need to recognize a balanced approach to market objectives with green requirements. This paper presents a methodology for analysing the environmental impact of electric-discharge machining (EDM). The analytical model of EDM integrates the wear characteristics of the tool and workpiece, and the dielectric fluid flows. The multiple waste streams generated are compared by examining factors such as toxicity and flammability. A case study has been included as an illustrative example. This model may serve as a framework for decision making in process planning and selection of operating parameters.

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An integrated platform for fast genetic operators is presented to support intrinsic evolution on Xilinx Virtex II Pro Field Programmable Gate Arrays (FPGAs). Dynamic bitstream compilation is achieved by directly manipulating the bitstream using a layered design. Experimental results on a case study have shown that a full design as well as a full repair is achievable using this platform with an average time of 0.4 microseconds to perform the genetic mutation, 0.7 microseconds to perform the genetic crossover, and 5.6 milliseconds for one input pattern intrinsic evaluation. This represents a performance advantage of three orders of magnitude over JBITS and more than seven orders of magnitude over the Xilinx design tool driven flow for realizing intrinsic genetic operators on a Virtex II Pro device.

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