Comparison of Analytical Model and Semi Empirical Model of Pressure Die Casting Die
Krishna R Patel1, Chinmay K. Desai2, Vatsal V. Panchal3, Ravi J. Bhatt4
1Krishna R Patel, Research Scholar, CGPIT, UTU, (Gujarat), India.
2Dr. Chinmay K. Desai, Professor and Dean, Faculty of Engineering and Technology, CGPIT, UTU, (Gujarat), India.
3Vatsal V. Panchal, Research Scholar, CGPIT, UTU, Surat, (Gujarat), India.
4Dr. Ravi J. Bhatt, Associate Professor, Department of Mechanical and Automobile, CGPIT, UTU, Surat, (Gujarat), India.
Manuscript received on 24 March 2019 | Revised Manuscript received on 05 April 2019 | Manuscript Published on 18 April 2019 | PP: 535-539 | Volume-7 Issue-6S March 2019 | Retrieval Number: F03030376S19/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Thermal profile of die for pressure die casting play an important role to manufacturing casting automobile parts. In this process molten metal is poured and applied pressure on it to fix in die. Within 20 second period of time liquid metal is converted into usable product form. This was only successfully possible after various numbers of attempt made on pressure die casting machines. For new product it was quite difficult to forecast thermal profile for die as well as casting parts. Quality of casting parts strongly depends on temperature distribution of die. This distribution can controlled by water mass flow rate applied to die for cooling purpose. This cooling profile neither too sudden nor too gradual. Optimum temperature distribution required in die and casting part contact area. It is necessary to study the process parameters on the performance of the die because the commercial setup is expensive. Hence, an attempt is made to investigate the effect of parameters on the thermal performance (cooling time) of the die. Semi empirical model prepare based on die thermal characteristics and die geometry. It is difficult to understand the effect of each individual parameter via experiments because it demands higher operating and tooling cost. Thus, it is always viable to use analytical or numerical approach. In present study, a semi empirical model and analytical model has been compared. This both model has been developed considering the parameters like density of water, velocity of water, diameter of die, temperature difference (die temperature and water temperature). The response has been selected as cooling time as thermal performance indicator. In order to validate the results, an analytical approach was used. It was observed that the results are found in good agreement between semi empirical model and analytical approach. Therefore, semi empirical model can be effectively used to estimate cooling time for various geometrical and operating conditions.
Keywords: Pressure Die Casting, Semi Empirical Model, Analytical Model, Cooling Time.
Scope of the Article: Empirical Software Engineering