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Isfahan University of Technology
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Dr. Rahmatollah Emadi
Dr. Mohammad Rezayat
Dr. Peiman Mosaddegh
Curriculum Vitac
The effects of pore size and heat treatment on compression and corrosion behaviors of Ti-6Al-4V sheet-based gyroid implants fabricated by laser powder-bed fusion process
The effects of pore size and heat treatment on compression and corrosion behaviors of Ti-6Al-4V sheet-based gyroid implants fabricated by laser powder-bed fusion process
Effect of heat treatment on microstructure, mechanical properties, and corrosion performance of 410NiMo super martensitic stainless steel cladded on 21CrMoV5-11 by Submerged Arc Welding Process
Effect of heat treatment on microstructure, mechanical properties, and corrosion performance of 410NiMo super martensitic stainless steel cladded on 21CrMoV5-11 by Submerged Arc Welding Process
Optimization and Characterization of Surface Mechanical Properties of AZ31B/CNT Nano-composite through Friction Stir Processing (FSP) using Response Surface Methodology (RSM) Design of Experiments
Optimization and Characterization of Surface Mechanical Properties of AZ31B/CNT Nano-composite through Friction Stir Processing (FSP) using Response Surface Methodology (RSM) Design of Experiments
Effect of processing parameters on the cyclic behaviour of aluminium friction stir welded to spark plasma sintered aluminium matrix composites with bimodal micro-and nano-sized reinforcing alumina particles
Effect of processing parameters on the cyclic behaviour of aluminium friction stir welded to spark plasma sintered aluminium matrix composites with bimodal micro-and nano-sized reinforcing alumina particles
Problem in measuring dyebath exhaustion and fixation yield in dyeing cotton with reactive dyes. The Magazine of the Wet Processing Industry Textile Chemist and Colorist November(AATCC) 1992 Vol.24 No
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
Modelling and Predicting the Breaking Strength and Mass Irregularity of Cotton Rotor Spun Yarns Containing Cotton Fiber Recovered from Ginning Process by Using Artificial Neural Network Algorithm
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