Macquarie Electronics has been selected to sell core equipment from Qimonda’s 300mm fab in Dresden Germany, according to an EETimes report. The semiconductor equipment reseller and lease specialist, part of Macquarie bank is to offer selected mainstream tools for sale from Applied Materials, KLA-Tencor, Tokyo Electron, and ASML, the report says.
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One of the equipment suppliers that consistently brings out new products is KLA-Tencor. However, the metrology supplier rarely figures in the most popular rankings in any given year. That has changed in 2008 with its TeraFab tool. Although only released recently, the fifth most popular product was from TEL and Novellus for copper interconnects.
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Product Briefing Outline: Edwards has launched the ‘Sirius 6000’ abatement system. Designed for low cost-of-ownership, the Sirius 6000 system addresses greenhouse gas abatement challenges arising from dielectric and polysilicon etch processes used in semiconductor manufacturing. The design uses an energy efficient microwave plasma in a carefully controlled chemical environment and an integrated wet scrubber to reduce fab greenhouse gas emissions by as much as 95 percent over a wide range of total flow rates and perfluorocompound (PFC) concentrations.
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By Terrence Morris & Steve Blaine PE, CH2M HILL, Oregon, USA
Outside of the process tools themselves, the chilled water plant is typically the single largest consumer of electrical energy in a semiconductor facility. This load includes not just chillers but also cooling tower fans, primary pumps, secondary pumps and condenser pumps. In order to meet the cooling requirements for any particular heat load, many different combinations of this equipment can be run. However, electricity consumption varies considerably depending on the combination of equipment used and the operating levels of the individual components. Selecting the optimal mix of equipment and operating levels presents a substantial challenge for an automatic control system and plant operators. Typically, no method is available to predict the effect of interactions and variations in load demand and outside air. This makes it challenging, if not impossible, to find an equipment mix that achieves optimal energy use. In response to this challenge, we set out to create a model/tool that would allow operators to automatically determine the optimal equipment mix to satisfy cooling requirements and minimize energy use. This paper describes how this model was created and how it works.
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