The selection of the most suitable machining process for a given machining application is not straightforward and requires consideration of a number of techno-technological and economic criteria. Therefore is often viewed as a multi-criteria decision making (MCDM). This paper is focused on multi-criteria economic analysis of various machining processes by applying recently developed MCDM method...

Purpose: Robotic workcells provide high flexibility and reconfigurability, cost effectiveness and user friendly programming for many industrial applications but still lack in accuracy, so important fields of application such as mechanical machining are currently covered by very expensive and rigid systems (machining centers). The present work investigates the possibility to extend the use of in...

Manufacturing technologies are becoming continuously more diversified over the years. The increasing use of robots for various applications such as assembling, painting, welding has also affected the field of machining. Machining robots can deal with larger workspaces than conventional machine-tools at a lower cost and thus represent a very promising alternative for machining applications. Furt...

Intelligent knowledge based system (IKBS) is developed for optimizing dry CNC turning process using Taguchi method, CNC Machine, EN19 steel as the work piece material, andCutting Insert. Tool wear and spindle loading which are the machining parameters, spindle speed, feed rate, and depth of cut, areoptimized through the intelligent knowledge based system (IKBS). The experimental CNC turning mac...

During the past decade, polymer nanocomposites have emerged relatively as a new and rapidly developing class of composite materials and attracted considerable investment in research and development worldwide.Direct machining of polymers can be an option for personalized products and for manufacturing product samples. To obtain high quality products and reduce machining costs, it is very importa...

Increasing demand for nano-scale machining processes in the semiconductor industry necessitates new mechanisms for nano-machining. A system capable of nano-scale machining of conductive material via Electronic Pen Lithography (EPL) may fit this niche. The purpose of this research is to develop a system capable of EPL based on a HexFlex six axis nano-manipulator. The system will also be capable ...

Due to the widespread use of highly automated machine tools in the industry, manufacturing requires reliable models and methods for the prediction of output performance of machining processes. The prediction of optimal machining conditions for good surface finish and dimensional accuracy plays a very important role in process planning. The present work deals with the study and development of a ...

In the rough-cut stage of sculptured surface machining, using rough-cut models with simple geometric complexity to generate tool paths could effectively reduce the machining time and improve the machining efficiency. In this paper, a 3D rough-cut model generation algorithm for sculptured surface machining is presented. The proposed algorithm is based on offset and multi-resolution mesh. Offsett...

Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The estab...