Kharazmi University

About: Kharazmi University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Membrane & Supply chain. The organization has 3395 authors who have published 5321 publications receiving 45645 citations. The organization is also known as: Tarbiat Moallem University of Tehran & Teacher Training University.

Multi-response optimization in laser cladding process of WC powder on Inconel 718

Abstract: In this study, laser cladding process of WC on Inconel 718 is investigated. Response surface methodology (RSM) benefiting from the desirability approach is used to achieve cladded layer of proper geometry with minimum dilution, porosity, cracks, and highly efficient process. In order to validate the models, confirmation experiments are carried out and the results indicate that the laser power is the dominant factor affecting the dilution and clad width, while porosity and cracks are highly affected by scanning velocity. Furthermore, adhesion test results and subsequent hardness testing suggest good bonding of clad layer to the substrate as well as desirable quality of clad.

Prioritizing road extension projects with interdependent benefits under time constraint

Abstract: Since transportation projects are costly and resources are limited, prioritizing or sequencing the projects is imperative. This study was inspired by a client who asked: “I have tens of approved road extension projects, but my financial resources are limited. I cannot construct all the projects simultaneously, so can you help me prioritize my projects?” To address this question, the benefits and costs of all the possible scenarios must be known. However, the impacts (or benefit) of road extension projects are highly interdependent, and in sizable cases cannot be specified thoroughly. We demonstrate that the problem is analogous to the Traveling Salesman Problem (TSP). Dynamic change in travel demand during construction is another aspect of the complexity of the problem. The literature is yet to provide efficient methods for large cases. To this end, we developed a heuristic methodology in which the variation of travel demand during the construction period is considered. We introduce a geometrical objective function for which a solution-finding policy based on “gradient maximization” is developed. To address the projects’ interdependency, a special neural network (NN) model was devised. We developed a search engine hybridized of Ant Colony and Genetic Algorithm to seek a solution to the TSP-like problem on the NN based on gradient maximization. The algorithm was calibrated and applied to real data from the city of Winnipeg, Canada, as well as two cases based on Sioux-Falls. The results were reliable and identification of the optimum solution was achievable within acceptable computational time.

Efficacy of Transcranial Direct Current Stimulation in the Treatment: Resistant Patients who Suffer from Severe Obsessive-compulsive Disorder.

Abstract: Background: During the past years, significant efforts have been made to explain the biological backgrounds of obsessive-compulsive disorder (OCD). Cortical-subcortical and neurotransmitter models are used for explaining the symptoms of OCD, so our hypothesis is that brain's transcranial direct current stimulation (TDCS) can regulate the brain activities of the OCD patients. Thus, based on the mentioned issues, this research seeks to investigate the efficacy of TDCS in treatment-resistant patients who suffer from severe OCD. Materials and Methods: The present study is a clinical trial research which was based on the available sampling method, 42 treatment-resistant patients who suffer from severe OCD were selected as research's samples (2015–2016). Medical intervention protocol in this study is TDCS cathode type that was done in 15 sessions for 3 consecutive weeks (each session was conducted for 30 min daily). Yale–Brown Obsessive-Compulsive Scale was used for evaluating the efficacy of TDCS method during the 1st, 5th, 10th, and 15th sessions and it was also used for checking the 1st and 3rd monthly follow-up phases. Results: Variance within-group analysis (repeated measure) showed that the mean differences in the different stages of evaluation are significant (seven stages of evaluation). Conclusion: TDCS can be introduced as an appropriate, strong tool for regulating the brain - behavioral systems and it can also be introduced as a suitable alternative treatment for treatment-resistant patients who suffer from severe OCD.