نتایج جستجو برای: machining power

تعداد نتایج: 498850  

Amin Kolahdooz, P. Sadr, S.A. Eftekhari

Electrical discharge machining process, is one of the most widely used methods for machining, the electrically conductive parts. In this way the tool is not in contact with the workpiece and the hardness of workpiece does not affect the machining speed. In Electrical Discharge Machining process, selection of the correct machining parameters are effective in final cost and the quality of the pro...

Amin Kolahdooz, Masoud Azimi, Seyyed Ali Eftekhari

Electrical Discharge Machining (EDM) process is one of the most widely used methods for machining. This method is used to form parts that conduct electricity. This method of machining has used for hard materials and therefore selects the correct values of parameters which are so effective on the quality machining of parts. Reaching to optimum condition of the DIN1.2080 alloy (D3) machining is v...

Amin Kolahdooz, Masoud Azimi, Seyyed Ali Eftekhari

Electrical Discharge Machining (EDM) process is one of the most widely used methods for machining. This method is used to form parts that conduct electricity. This method of machining has used for hard materials and therefore selects the correct values of parameters which are so effective on the quality machining of parts. Reaching to optimum condition of the DIN1.2080 alloy (D3) machining is v...

Journal: :international journal of advanced design and manufacturing technology 0
mehdi jafarian gholamhosein dehghan abbas vafaeisefat

surface roughness is one of the most important parameters that plays very critical role in determining the quality of engineering components. a good surface quality resulting in improve of fatigue strength, corrosion and wear resistance of the workpiece. on the other hand, increasing cutting speed and decreasing time of machining are desirable for manufacturers in order to reduce costs and incr...

2013
Venkata Ramaiah

In this paper, fuzzy logic integrated with the Taguchi method is used to optimize Wire Electro Discharge Machining (WEDM) process with multiple quality characteristics. Rough machining with EDM gives poor surface finish and has micro cracks and pores. Finish machining gives better surface finish but with very poor machining speed (MRR). Spark gap width is one of the important performance measur...

M. Zohouri and A. Khorrami, S. M. R. Khalili,

Due to the widespread applications of fiber reinforced polymer composites in various industries, the machining of these materials to reach the desired shapes, close tolerances and surface finish quality is of great importance. But the composite materials are anisotropic and are mostly prepared in laminated form and, therefore, they have special chip formation behaviour. Among the effective para...

2012

The operating control parameters of injection flushing type of electrical discharge machining process on stainless steel 304 workpiece with copper tools are being optimized according to its individual machining characteristic i.e. material removal rate (MRR). Lower MRR during EDM machining process may decrease its’ machining productivity. Hence, the quality characteristic for MRR is set to high...

2000
S. M. X. Claude C. T. Cunningham A. R. Kerr S.-K. Pan

We describe a design for a sideband-separating balanced mixer using four planar single-ended mixer chips connected to the feed horn and LO source by a network of quadrature waveguide hybrids and an in-phase waveguide power divider. The mixer has separate IF output ports for the downconverted signals from the upper and lower RF sidebands, and requires ~14 dB less LO power than a single-ended mix...

Journal: :علوم کاربردی و محاسباتی در مکانیک 0
فرهاد کلاهان محسن منوچهری عباس حسینی

machining operation is one of the most applicable processes for the manufacturing of industrial parts. usually, the quality of finished part in turning operation is measured in terms of surface roughness. in turn, surface quality is determined by machining parameters and tool geometry specifications. the main objective of this study is to model and optimize machining parameters and tool geometr...

2018
Rashmi L. Malghan Karthik Rao M C Arun Kumar Shettigar Shrikantha S. Rao R.J. D’Souza

The data set presented is related to the milling process of AA6061-4.5%Cu-5%SiCp composite. The data primarily concentrates on predicting values of some machining responses, such as cutting force, surface finish and power utilization utilizing using forward back propagation neural network based approach, i.e. ANN based on three process parameters, such as spindle speed, feed rate and depth of c...

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