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MICRO ELECTRICAL DISCHARGE MACHINING DEPOSITION IN AIR 被引量:6
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作者 JIN Baidong ZHAO Wansheng WANG Zhenlong CAO Guohui 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2006年第4期622-625,共4页
A new deposition method is described using micro electrical discharge machining (EDM) to deposit tool electrode material on workpiece in air. The basic principles of micro electrical discharge deposition (EDD) are... A new deposition method is described using micro electrical discharge machining (EDM) to deposit tool electrode material on workpiece in air. The basic principles of micro electrical discharge deposition (EDD) are analyzed and the realized conditions are predicted. With an ordinary EDM shaping machine, brass as the electrode, high-speed steel as the workpiece, a lot of experiments are carried out on micro EDD systematically and thoroughly. The effects of major processing parameters, such as the discharge current, discharge duration, pulse interval and working medium, are obtained, As a result, a micro cylinder with 0.19 mm in diameter and 7.35 mm in height is deposited. By exchanging the polarities of the electrode and workpiece the micro cylinder can be removed selectively. So the reversible machining of deposition and removal is achieved, which breaks through the constraint of traditional EDM. Measurements show that the deposited material is compact and close to workpiece base, whose components depend on the tool electrode, material. 展开更多
关键词 Electrical discharge machining(EDlVD Electrical discharge deposition(EDD) Reversible machining Processing pararneters
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Reversible spiking neural P systems 被引量:1
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作者 Tao SONG Xiaolong SHI Jinbang XU 《Frontiers of Computer Science》 SCIE EI CSCD 2013年第3期350-358,共9页
Spiking neural (SN) P systems are a class of distributed parallel computing devices inspired by the way neurons communicate by means of spikes. In this work, we investigate reversibility in SN P systems, as well as ... Spiking neural (SN) P systems are a class of distributed parallel computing devices inspired by the way neurons communicate by means of spikes. In this work, we investigate reversibility in SN P systems, as well as the computing power of reversible SN P systems. Reversible SN P systems are proved to have Turing creativity, that is, they can compute any recursively enumerable set of non-negative integers by simulating universal reversible register machine. 展开更多
关键词 membrane computing spiking neural P system reversible computing model UNIVERSALITY reversible register machine
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