A. Krishnaiah
Osmania University
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IOSR Journal of Mechanical and Civil Engineering | 2014
Mohammed Viquar Mohiuddin; Syed Ferhathullah Hussainy; A. Krishnaiah; P. Laxminarayana; S. Sundarrajan
Aluminum alloy castings are extensively used in general engineering, automobile, aerospace industries due to their excellent castability, machineability, corrosion resistance and high strength-to-weight ratio. Keeping in view the increase in demand for the use of aluminum in manufacturing of various components, aluminum foundries have to focus on producing quality castings. Sand mould casting process involves parameters like sand grain size, clay content, moisture content, permeability, green compression strength, mold hardness, number of ramming, shatter index, type of mold, etc., just to mention a few. Based on literature survey, brainstorming and experimental constraints; Grain size, Clay content, Moisture content and Number of ramming has been selected as process parameters keeping other parameters constant. Experiments were conducted as per Taguchis L9 orthogonal array. Castings are made under the constraint of process parameters at three different levels. Results were evaluated to optimize the process parameters. The optimum levels are found to be: Grain size-55, Clay content-12%, Moisture content-13%, Number of rammings-2. Confirmation test is conducted based on the optimum level of process parameters and result is found to be in confidence level. Keywords - Aluminium alloys, Design of Experiment (DoE), Sand casting process parameters, Taguchi method. I. INTRODUCTION Sand molding is a very ancient technique of manufacturing the product and is used to manufacture complex shape castings of various sizes depending upon the requirements. But still despite of science getting to new level every passing minute, there are defects, flaws or imperfections which still remain and are very difficult to eliminate from castings. In the present competitive environment, it is of paramount importance to maintain the quality of the castings and to aim at products with zero-defect and right the first time. The key element for achieving high quality and low cost product is parameter design. Through parameter design optimal levels of process parameters (or control factors) are selected (1). These parameters should be controlled to improve the quality of both casting process and the product. Numbers of problems of various types are associated with the casting process. These problems may be related to casting yield, defects, dimensional variations, solidification, surface texture, poor mechanical properties, porosities and so on (2). If the casting process is not being managed properly, the problems may aggravate further resulting in defects which render the product weak and of low quality, thus making them unfit for use (3). Therefore to overcome the problems in the casting, optimization of the process parameters should be done. Optimization is required right from the stage of selecting the sand to the removal of casting from the sand mold. Quality improvement in foundry industry have been carried over by researchers and foundry engineers for robust product at the customers end by applying various optimization methods to the sand casting process parameters: the Gradient search method, the Finite element method (FEM) and the Taguchi method (4). Taguchi has introduced several statistical tools and concepts of quality improvement that depend heavily on the statistical theory of experimental design. Some applications of Taguchis method in the foundry industry have shown that the variation in casting quality caused by uncontrollable process variables can be minimized. The concept of robust design for the process and the product introduced by G. Taguchi (5, 6) seeks to make both the process and the product insensitive to disturbing factors that occasionally or systematically affect the variability of the process that may lead to imperfections in the products (7). In the present study, aluminium alloy test castings of same shape and size produced by sand mould casting process at selected sand grain size (or GFN - Grain Fineness Number), clay content, moisture content and number of ramming are studied and presented. The produced castings were examined for mechanical properties. The aim is to determine the optimum levels at which these parameters produce good quality castings. Many casting defects occur because the optimum conditions were not used during the casting process. By this
Journal of Molecular Spectroscopy | 2016
Syed Ferhathullah Hussainy; Mohd. Viquar Mohiuddin; P. Laxminarayana; S. Sundarrajan; A. Krishnaiah
Abstract Analysis of shrinkage characteristics of Aluminium-Silicon alloy was studied theoretically and experimentally. The Aluminium alloys considered in the study are A413 (LM6), A360 (LM9) and A380 (LM24). Extensive literature survey has suggested that cavity filling and solidification process are two most critical aspects to produce high quality casting components. A statistical model of parameters and response to understand the influence of parameters on shrinkage and casting yield studies has been presented. Experiments were conducted in foundry in industrial environment to produce commercially treated aluminium alloy castings in sand mould. Alloy was found to be most significant factor influencing shrinkage. The yield of casting was improved using insulating and exothermic sleeves. Solidification time of exothermic riser was 10u2006% more than insulated riser. Thus, in order to produce radiographic quality casting a theoretical and experimental method is presented so that number of trials in foundry is reduced which leads to increased reliability and productivity. Study also shows that by using sleeves considerable metal is saved, energy saving during melting, improved quality, reduced cost and increased capacity of plant can be achieved.
Archive | 2015
M. Viquar Mohiuddin; A. Krishnaiah; S. Ferhathullah Hussainy
International Journal of Research in Engineering and Technology | 2015
S. Ferhathullah Hussainy; M. Viquar Mohiuddin; P. Laxminarayana; A. Krishnaiah; S. Sundarrajan
The International Journal of Advanced Manufacturing Technology | 2017
Mohammed Viquar Mohiuddin; Syed Ferhathullah Hussainy; A. Krishnaiah; P. Laxminarayana
Materials Today: Proceedings | 2017
G. Narendar; A.V.S.S Kumara Swami Gupta; A. Krishnaiah; M.G.V. Satyanarayana
Materials Today: Proceedings | 2016
M. Viquar Mohiuddin; A. Krishnaiah; S. Ferhathullah Hussainy; P. Laxminarayana
International journal of engineering research and technology | 2016
G. Narendar; Avss Kumara Swami Gupta; A. Krishnaiah
Archive | 2015
M. Viquar Mohiuddin; A. Krishnaiah; S. Ferhathullah Hussainy
International journal of engineering research and technology | 2014
G. Narendar; Avss Kumara Swami Gupta; A. Krishnaiah