Optimization of Open Die Ironing Process through Artificial Neural Network for Rapid Process Simulation
نویسندگان
چکیده
منابع مشابه
Optimization of Aluminium Die Casting Process Using Artificial Neural Network
In the present paper, optimization of process parameters of an aluminium die casting operation is discussed. The quality problem encountered during the manufacturing of a die casted component was porosity and the potential factors causing it are identified through causeeffect analysis. An analysis of variance (ANOVA) is conducted to find the factors with significant effects on porosity. The pre...
متن کاملPrediction and optimization of load and torque in ring rolling process through development of artificial neural network and evolutionary algorithms
Developing artificial neural network (ANN), a model to make a correct prediction of required force and torque in ring rolling process is developed for the first time. Moreover, an optimal state of process for specific range of input parameters is obtained using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) methods. Radii of main roll and mandrel, rotational speed of main roll, pr...
متن کاملOptimization of Plastic Injection Molding Process by Combination of Artificial Neural Network and Genetic Algorithm
Injection molding is one of the most important and common plastic formation methods. Combination of modeling tools and optimization algorithms can be used in order to determine optimum process conditions for the injection molding of a special part. Because of the complication of the injection molding process and multiplicity of parameters and their interactive effects on one another, analytical...
متن کاملWelding Process Optimization with Artificial Neural Network Applications
Correct detection of input and output parameters of a welding process is significant for successful development of an automated welding operation. In welding process literature, we observe that output parameters are predicted according to given input parameters. As a new approach to previous efforts, this paper presents a new modeling approach on prediction and classification of welding paramet...
متن کاملinvestigation of malting process using artificial neural network
malting is a complex biotechnological process that includes steeping; germination and drying of cereal grains under controlled conditions of temperature and humidity. in this research malting process parameters were predict by modular neural network with different activation function included, logsig-logsig, tanh-tanh, logsigtanh, logsig-identity and tanh-identity. steeping time (x1) and germin...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Metals
سال: 2020
ISSN: 2075-4701
DOI: 10.3390/met10101397