Forging is a process of forming metals which leads to the deforming of work piece through its pressing. Shape and the number of pre-forms are the most significant issues in designing the process of closed die forging. The criteria for producing the pre-forms are creating a faultless die, fully the die completely, and homogenous deformation. In this study simulation in the designing the forging process of connecting rod via Pro/Engineer software and optimization of pre-form die and its analysis through the use of SuperForge software were investigated. Concerning the results, the simulation forging of connecting rod, power and energy of each phase and the effects of other significant factors such as temperature can be explored.
This paper presents Reduce risk of a genetic algorithm based path-planning algorithm for local obstacle avoidance of a mobile robot with change in fitness function. The method tries to find not only a valid path but also an optimal one. The objectives are to minimize the length of the path and the number of turns. The proposed path planning method allows use some effective parameter to define fitness function, therefore we success to reduce risk and reach optimal path.
The traffic modeling is one of the effective methods of detecting and evaluating the urban traffic. The effect of uncertain factors such as the different behavior of a human society would count as an intricacy of the issue and would cause some problems for modeling. Level crossroads are one of the important sections in an urban traffic control system and are usually controlled by traffic lights. In this study, an attempt has been made to model the traffic of an important crossroads in Mashhad city using intelligent elements in a multi-agent environment and a large amount of real data. For this purpose, the total traffic behavior at the intersection was first modeled based on the Bayesian networks structures. Then, effective factors have been modeled using the probabilistic causal networks. Results of the evaluation of the model show that this model is able to measure system efficiency according to variances in the crossroads adjustments. Also, this model is cheaper and less time-consuming. On this basis, this modeling can be used for the evaluating and even predicting the efficacy of the traffic control system in the crossroads. The data used in this study have been collected by the SCATS software in Mashhad Traffic Control Center. The Weka software has been used for training and evaluations with the Bayesian and causal probabilistic networks.
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