Showing 4 results for Salimi
A. Salimi, M. Zadshakoyan, A. Ozdemir, E. Seidi,
Volume 9, Issue 2 (june 2012 2012)
Abstract
In automation flexible manufacturing systems, tool wear detection during the cutting process is one of the most important considerations. This study presents an intelligent system for online tool condition monitoring in drilling process .In this paper, analytical and empirical models have been used to predict the thrust and cutting forces on the lip and chisel edges of a new drill. Also an empirical model is used to estimate tool wear rate and force values on the edges of the worn drill. By using of the block diagram of machine tool drives, the changes in the feed and spindle motor currents are simulated, as wear rate increases. To predict tool wear rate in drill, Fuzzy logic capabilities have been used to develop intelligent system. The simulated results presented in MATLAB software show the effectiveness of the proposed system for on-line drill wear monitoring.
A. M. Behagh, A. Fadaei Tehrani, H. R. Salimi Jazi, O. Behagh,
Volume 12, Issue 1 (march 2015 2015)
Abstract
n this paper a finite element model has been proposed for evaluation of primary and secondary current
density values on the cathode surface in nickel electroplating operation of a revolving part. In addition, the capability
of presented electroplating simulation has been investigated in order to describe the electroplated thickness of the
nickel sulfate solution. Nickel electroplating experiments have been carried out. A good agreement between the
simulated and experimental results was found. Also the results showed that primary current density can describe the
general form of thickness distribution but the relative value of current density using secondary current density can
present better description of thickness distribution
M. Akbarzadeh, A. Shafyei, H. R. Salimijazi,
Volume 12, Issue 1 (march 2015 2015)
Abstract
In the present study, CrN, TiN and (Ti, Cr)N coatings were deposited on D6 tool steel substrates. Physical and mechanical properties of coatings such as microstructure, thickness, phase composition, and hardness were evaluated. Phase compositions were studies by X-ray diffraction method. Mechanical properties were determined by nano-indentation technique. The friction and wear behaviour of the coatings were investigated using ball-on-disc tests under normal loads of 5, 7 and 9 N at sliding distance of 500 m, at room temperature. Scanning electron microscope equipped with energy dispersive spectroscopy, optical microscope, and 2D/3D profilometry were utilized to investigate the microstructures and wear mechanisms. Wear test results clarified that the wear resistance of (Ti, Cr)N and TiN coatings was better than that of CrN coating. The wear resistance of the (Ti, Cr)N coatings was related to the Ti content in the coatings and reduced by decreasing the Ti content. The dominant wear mechanisms were characterized to be abrasive and tribochemical wear
A. Salimi, A. Özdemir, A. Erdem,
Volume 12, Issue 3 (September 2015)
Abstract
On time replacement of a cutting tool with a new one is an important task in Flexible Manufacturing Systems
(FMS). A fuzzy logic-based approach was used in the present study to predict and simulate the tool wear progress in
turning operation. Cutting parameters and cutting forces were considered as the input and the wear rate was regarded
as the output data in the fuzzy logic for constructing the system. Flank wear was used as the tool life criterion and the
wear ranges were selected between 0 and 0, 3 based on ISO 3685 standard for new and worn tool respectively. For
conducting the tests, Taghuchi method was used to design an experimental table. The results of the measurements and
estimates confirmed the reliability of the fuzzy logic method for estimating tool wear. One significant feature of the
proposed system is that it can predict the wear rate on-line by transferring the cutting force signals from the sensor to
the fuzzy logic simulation box.
