نمایش نتایج جستجو برای
نویسنده: Farhad Rahmati
موارد یافت شده: 9
1 - Modeling penetration depth in submerged arc welding using artificial neural networks: A comprehensive approach (چکیده)2 - Modeling the parameters influencing the hardness of the molten zone in submerged arc welding: Focus on manganese-adsorbed boehmite nanoparticles (چکیده)
3 - Optimization of penetration depth in submerged arc welding using genetic algorithm (چکیده)
4 - Modeling of Penetration Depth in Submerged Arc Welding Using Artificial Neural Network (چکیده)
5 - Prediction of weld bead geometry of AA5083 using taguchi technique: in the presence of siliconized zn-graphene oxide complex nanoparticles (چکیده)
6 - Influence of Siliconized Zn-Graphene Oxide Complex Nanoparticles on the Microstructure and Mechanical Properties of AA5083: Focus on Gas Metal Arc Welding (چکیده)
7 - Modeling and Optimization of Penetration Depth Using Genetic Algorithm, Focusing on Submerged Arc Welding (چکیده)
8 - Sustainability Assessment and Life Cycle Analysis of Welding Processes: Focus on GMAW and SMAW (چکیده)
9 - Sustainability Development and Life Cycle Assessment of Welding Processes: Focus on SMAW and GMAW (چکیده)
