The manufacturing industries dealing with machining and tools' manufacturing generate a large amount of data concerning the machining process. However, in most cases, this information is not used in an advantageous strategy as there is no system dedicated for storing and manipulating such data. In order to Use these data to improve efficiency and increase benefit of machining, the cutting datab...

The machining process exhibits piecewise behaviour and cannot be linearly extrapolated in a wide range. It cannot be modelled effectively using theories and equations. Thus, expert systems have emerged as a major tool for decision-making in such complicated situations (Singh & Raman, 1992). The conventional method for selecting machining parameters such as cutting speed and feed rate is based o...

In this paper, particle swarm optimization, which is a recently developed evolutionary algorithm, is used to optimize machining parameters in hard turning processes where multiple conflicting objectives are present. The relationships between machining parameters and the performance measures of interest are obtained by using experimental data and swarm intelligent neural network systems (SINNS)....

The paper studied hypoid gear CNC machining theory and simulation processing. Through construct a simulation case of hypoid gear machining system, optimization processing parameters for the main aspects, verify the effectiveness of pre-correction system.

In this paper, the electric-discharge machining (EDM) of non-contact seal grooves was studied. Two types of material, namely: tungsten carbide and silicon carbide were tested by EDM due to their hard machining behaviors. The geometry of seal grooves is another reason why grinding or other precision machining processes cannot be applied. Four parameters of EDM processes were studied, namely: ele...

among the several non-conventional processes, electrical discharge machining (edm) is the most widely and successfully applied for the machining of conductive parts. in this technique, the tool has no mechanical contact with the work piece and also the hardness of work piece has no effect on the machining pace. hence, this technique could be employed to machine hard materials such as super allo...

Surface roughness is a common indicator of the quality characteristics for machining processes. The machining process is more complex, and therefore, it is very hard to determine the effects of process parameters on surface quality in all turning operations. The present work deals with the study and development of a regression model to predict surface roughness in terms of geometrical parameter...

The excimer laser machining has been widely applied to micromachining of various materials. An excimer laser dragging process to ablate a groove pattern on a polycarbonate (PC) sheet through a mask opening is analyzed in this paper. Currently, a large number of papers studying the interaction between the laser machining parameters and various materials are presented. However, the prediction of ...

The use of unconventional machining techniques in shaping metal matrix composites (MMCs) has generated considerable interest as the manufacturing of complicated die contours. Metal matrix composites are advanced materials having high specific strength, good wear resistance, and high thermal expansion coefficient. Electrical discharge machining is a best process to make complicated shapes on the...

Machining of hard materials is a recent technology for direct production of work-pieces. The primary challenge in machining these materials is selection of cutting tool inserts which facilitates an extended tool life and high-precision machining of the component. These materials are widely for making precision parts for the aerospace industry. Nickel-based alloys are typically used in extreme e...