Casting Design and Simulation of Cover Plate Using AutoCAST-X Software for Defect Minimization with Experimental Validation

Choudhari, Chandrashekhar; Narkhede, Balkrishna E.; Mahajan, S.

doi:10.1016/j.mspro.2014.07.095

Cited by 46 publications

(20 citation statements)

References 14 publications

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“…In the present scenario, casting technology is in its advanced form due the development of CAD engineers (Cleary, 2010). To prevent the defect and to increase productivity, various techniques like linear programing, Melt conditioner, Twin-roll strip casting and Auto-Cast-X software were used by different authors (Choudhari et al, 2014;Haghayeghi et al, 2010;Park & Yang, 2011).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis for casting process under stochastic modelling

Kumar¹

2015

10.5267/j.ijiec

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The present paper studies the reliability analysis of the casting process in foundry work using a probabilistic approach. As foundry industries in many developing countries suffer from poor quality of casting due to improper management, lack of resources and wrong working methods followed, which results in the decrement of productivity. Hence, to ensure the quality and productivity, favorable steps must be taken. The considered casting system has four main types of defects; namely mold shift, shrinkage, cold shut and blowholes. The complete casting system can fail due to the misalignment of the mold and combination of defects such as shrinkage and blow holes and can also fail by defects of shrinkage, blow holes and cold shut, simultaneously. The system is analyzed with the help of the supplementary variable technique and Laplace transformation. The availability, reliability, mean time to failure, sensitivity analysis and costeffectiveness have been evaluated for the considered system. The results have been shown with the help of graphs, which predicts the behavior of the casting process system when any one of the defect or more than one defect appears.

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Section: Introductionmentioning

confidence: 99%

Sensitivity analysis for casting process under stochastic modelling

Kumar¹

2015

10.5267/j.ijiec

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“…Results of analysis obtained from the simulation of Auto Cast-X software ( Fig.6) help visualizing the progress of hot spot, and in turn, exhibit the formation of shrinkage defects. Moreover, a perfect design of feeding can help attainment of guiding solidification with a decrease in failure due to spot solidification and incomplete filling [25]. In another research, Results showed the four-cavity mould as effective more than the three-cavity system, in achieving a quality casting product in both cast parts.…”

Section: Based On Gating and Riser Locationmentioning

confidence: 99%

Effectiveness of Feeding System for Enhanced Product Quality in Sand Casting Industries

2019

IJRTE

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This review article deals with the importance of process parameters and the recent developments in modern tool technology in the success of smart productivity for casting process of all types. Various influencing factors such as design, location and the number of gating on feeding mechanism were discussed vis-a-vis casting defects. The review revealed reduction in the defects such as air bubbles, blow holes, shrinkage defects and mechanical properties of the casting parts through selection of an optimum feeding design. Variations in fillet radius and thickness on the feeding system were found to be the factors affecting the location of the hot spot. Accordingly, the mobility of the hot spot was controlled by geometrical modifications in the feeding system. In addition, the formation of pinholes and solidification defects could be reduced through a proper arrangement of the feeding system. The rapid growth in implementing simulation techniques in the casting process can assist the enhancement of yield with minimum production cost. This article provides a data base relating to the merits and demerits of various factors and material systems with their industrial applications for enabling further research in the casting process

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“…Choudhari C.M et al [17] observed that solidification simulation enables visualization of the progress of freezing inside a casting and identification of the last freezing regions or hot spots. This facilitated the optimized placement and design of feeders with improvement in yield by 15 % while ensuring casting soundness without expensive and time consuming trial runs.…”

Section: Defect Minimization In Casting Through Process Improvement-amentioning

confidence: 99%