Using Neural Networks to Predict the Hardness of Aluminum Alloys
Journal Title: Engineering, Technology & Applied Science Research - Year 2015, Vol 5, Issue 1
Abstract
Aluminum alloys have gained significant industrial importance being involved in many of the light and heavy industries and especially in aerospace engineering. The mechanical properties of aluminum alloys are defined by a number of principal microstructural features. Conventional mathematical models of these properties are sometimes very complex to be analytically calculated. In this paper, a neural network model is used to predict the correlations between the hardness of aluminum alloys in relation to certain alloying elements. A backpropagation neural network is trained using a thorough dataset. The impact of certain elements is documented and an optimum structure is proposed
Authors and Affiliations
B. Zahran
Replacement of Coarse Aggregate with Locally Available Brick Aggregate
Due to the abundant usage of concrete as a construction material, there is a fast dwindling source of aggregates. There are regions where there is scarcity of coarse aggregate, so to resolve this problem, Bricks Aggregat...
Constrained K-Means Classification
Classification-via-clustering (CvC) is a widely used method, using a clustering procedure to perform classification tasks. In this paper, a novel K-Means-based CvC algorithm is presented, analysed and evaluated. Two addi...
A Gain Programmable Analog Divider Circuit Based on a Data Converter
Analog dividers are widely used in analog systems. Analog realization of such circuits suffer from limited dynamic range and non-linearity issues, therefore, extra circuitry should be required to compensate these types o...
Health and Safety of Hyderabad Industries’ Labor. Causes and Awareness
Labor’s health and safety (H&S) is a matter of concern for all industries. Occurrence of accidents in industries is becoming a common issue. Both white collar and blue-collar workers are not shielded from materials that...
Improving Translation Quality By Using Ensemble Approach
Machine translation (MT) has been a topic of great research during the last sixty years, but, improving its quality is still considered an open problem. In the current paper, we will discuss improvements in MT quality by...