Original scientific paper Usages of non-traditional machining processes are rapidly increasing together with increases in demand and usage of high strength, temperature resistant and complex materials. Due to their advantages such as cutting speed, surface quality and economizing, they became a vital process of manufacturing. Because of the conflicting criteria, the selections of appropriate no...

The present contribution describes an application of a hybrid approach using fuzzy logic and particle swarm optimization (PSO) for optimizing the process parameters in the electric discharge machining (EDM) of AISI 316LN Stainless Steel. In this study, each experimentation was performed under different machining conditions of pulse current, pulse on-time, and pulse off-time. Machining performan...

In precision machining processes, major problems can be related to the condition of the cutting tool. Online tool condition monitoring is hence of great industrial interest. To empower the machining system with adaptivity and intelligence required, an embedded tool condition monitoring system (eTCM) has been developed for online detection of machining process abnormities such as tool breaking, ...

most of the materials used in the industry of aero-engine components generally consist of titaniumalloys. advanced materials, because of their excellent combination of high specific strength, lightweight and general corrosion resistance. in fact, chemical wear resistance of aero-engine alloyprovides a serious challenge for cutting tool material during the machining process. the reductionin cutt...

In this paper error sources existing in the on-line inspection system for numerical control machines are analyzed. A mathematical model of the geometric errors of a three-axis machining center is created and the pretravel variations are obtained in different directions. Then an error compensation is applied to improve the accuracy of the on-line inspection system. A methodology of spatial stati...

Preliminary note The industry is under increasing pressure of the financial crisis, global competition, stricter environmental legislation and supply-chain demand. To tackle these issues, a sustainable development trend has to be assured synergetically on all the levels/fields, including machining processes. This paper promotes sustainable production via an improvement of machining technologies...

Optimization of turning process is a non-linear optimization with constrains and it is difficult for the conventional optimization algorithms to solve this problem. The purpose of present study is to demonstrate the potential of Imperialist Competitive Algorithm (ICA) for optimization of multipass turning process. This algorithm is inspired by competition mechanism among imperialists and coloni...

Optimization of machining parameters is very important and the main goal in every machining process. Surface finishing prediction is a pre-requirement to establish a center for automatic machining operations. In this research, a neuro-fuzzy approach is used in order to model and predict the surface roughness in dry turning. This approach has both the learning capability of neural network and li...

Optimization of cutting parameters important in precision machining in regards to efficiency and surface integrity of the machined part. Usually productivity and precision in machining is limited by the forces emanating from the cutting process. Due to the inherent varying nature of the workpiece in terms of geometry and material composition, the peak cutting forces vary from point to point dur...