R
Reza Teimouri
Researcher at University of Kashan
Publications - 66
Citations - 1885
Reza Teimouri is an academic researcher from University of Kashan. The author has contributed to research in topics: Surface roughness & Machining. The author has an hindex of 24, co-authored 59 publications receiving 1425 citations. Previous affiliations of Reza Teimouri include Shandong University & Babol Noshirvani University of Technology.
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Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media
TL;DR: In this paper, the effect of pulse on time, pulse off time, gap voltage, discharge current, wire tension and wire feed on cutting velocity and surface roughness has been investigated in dry wire electrical discharge machining.
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Optimization of friction stir welding process of AA7075 aluminum alloy to achieve desirable mechanical properties using ANFIS models and simulated annealing algorithm
S. Babajanzade Roshan,M. Behboodi Jooibari,Reza Teimouri,G. Asgharzadeh-Ahmadi,M. Falahati-Naghibi,Hamed Sohrabpoor +5 more
TL;DR: In this paper, the adaptive neuro-fuzzy inference system (ANFIS) has been used to generate mapping relationship between process factors and main response using experimental observations, and the developed models were applied as objective function to select optimal parameters, in which the process reaches to its desirable mechanical properties by using the simulated annealing algorithm.
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Experimental investigation, intelligent modeling and multi-characteristics optimization of dry WEDM process of Al–SiC metal matrix composite
TL;DR: In this paper, an adaptive neuro-fuzzy inference system (ANFIS) has been employed to predict the process characteristics based on experimental observation, and an artificial bee colony (ABC) algorithm has been associated with ANFIS models to maximize CV and minimize SR, simultaneously.
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Evaluation of optimized surface properties and residual stress in ultrasonic assisted ball burnishing of AA6061-T6
TL;DR: In this paper, an experimental investigation was carried out to analyze effect of ultrasonic vibration amplitude, feed rate and static force on surface roughness and hardness of aluminum 6061-T6 alloy.
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Experimental study of rotary magnetic field-assisted dry EDM with ultrasonic vibration of workpiece
Reza Teimouri,Hamid Baseri +1 more
TL;DR: In this paper, the effects of rotary magnetic field and also ultrasonic vibration of work-piece were studied on dry electrical discharge machining (EDM) process performance, and the results indicated that the brass tool with two eccentric holes has the highest material removal rate rather than the other existing tool.