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Showing 3 results for Powder Compaction

Hashem Babaei, Tohid Mirzababaie Mostofi, Majid Alitavoli, Mojtaba Namdari,
Volume 15, Issue 5 (7-2015)
Abstract

The purpose of this paper is to investigate those products which are produced by powder compaction procedure under the low rate impact loading by a drop hammer, both theretically and numerically. Experimental section includes checking the efficiency of density, bending strength and elasticity modulus of the product from grain size and different levels of energy. Two kinds of pure aluminum powder in three different size and also their combination with ceramic are used to obtain this. In the numerical section, dimension analysis method is applied in which non-dimensional models for density, bending strength, and elasticity modulus are presented in form of mathematical functions by means of experimental characteristics and data which are categorized to input and output. The purpose of determination of this model is to reach a reliable and satisfactory prediction for final properties of products subjected to impact loading condition. It is worth to note that singular value decomposition approach is used for calculation of linear coefficients vector which has been obtained by non-dimensional parameters.A comparison between these results and experimental data is done by mathematical functions in order to validate the results. The investigation of training and prediction data errors which has been based on root of mean of squares of error and coefficient of determination shows that the obtained results through mathematical functions have acceptable accuracy; hence utilization of the presented mathematical models for predicting the final properties of product subjected to impact loading is desirable.
Majid Alitavoli, Hashem Babaei, Ali Mahmoudi, Ali Golbaf, Tohid Mirzababaie Mostofi,
Volume 15, Issue 7 (9-2015)
Abstract

The aim of this paper is to investigate the green density, the percentage of porosity and the density distribution of materials which have been produced by powder compaction procedure under low rate impact loading by using drop hammer both experimentally and analytically. Effect of grain size and different level of energy on density is carried out in the experimental section. In this regard, the effect of different level of energy are investigated by changing mass and height of hammer. The analytical section presents a relation for green density considering a small element of compacting piece and using equilibrium equation, continuity equation and Levy-Mises equation. Using the statistical analysis leads to investigation of the effect of grain size and friction coefficient simultaneously as two impressive factors on analytical green density. In the next step, the percentage of porosity and density distribution was calculated analytically and compared with experimental values. The satisfactory accordance between Experimental results and analytical ones validates the presented analytical results. Also by applying two constant quantities, shape factor and work hardening in analytical relations, the effect of these factors on percentage of porosity and density distribution of products have been investigated.
M. Sayah Badkhor , T. Mirzababaie Mostofi , H. Babaei,
Volume 20, Issue 4 (4-2020)
Abstract

Manufacturing products using powder compaction is one of the most widely used methods in the industry. In this paper, dynamic compaction of aluminum powder under low-velocity impact loading was investigated using a drop hammer testing machine along with the optimization of effective parameters in this process. In this series of experiments, the green density and green strength of compacted products were measured. The response surface methodology was used to study the influential parameters in the powder compaction process. In this method, the effects of independent parameters including the grain particle size, the hammer mass, and the standoff distance of the hammer on the green density and green strength were evaluated. In the current study, two separate analyses were performed for each output response and the obtained results were summarized in ANOVA tables. The results showed that the p-value for the model is less than 0.05, which means that the model is significant. The values of R2 for the green density and green strength are equal to 0.9956 and 0.9912, respectively. The results of the optimization section indicate that the optimum case, the maximum green density as well as green strength at the same time, occurs when the grain particle size, the hammer mass and the standoff distance of the hammer have the maximum values. The factors o standoff distance of hammer and grain particle size have the highest and least effect on responses.
 


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