Taguchi-Based Six Sigma Defect Reduction of Green Sand Casting Process: An Industrial Case Study

2014 ◽  
Vol 4 (2) ◽  
pp. 172-188 ◽  
Author(s):  
Joseph C. Chen ◽  
Abhilash Reddy Buddaram Brahma
2019 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Mahantesh M. Ganganallimath ◽  
Suraj Dhondiram Patil ◽  
E.V. Gijo ◽  
Roopa B. Math ◽  
Vijaykumar Hiremath

2019 ◽  
Vol 13 (2) ◽  
pp. 226
Author(s):  
Vijaykumar Hiremath ◽  
Roopa B. Math ◽  
Mahantesh M. Ganganallimath ◽  
Suraj Dhondiram Patil ◽  
E.V. Gijo

Author(s):  
Yash Mittal ◽  
Nikhil Parasar ◽  
Jambeswar Sahu ◽  
Umakant Mishra ◽  
Chinmaya P. Mohanty

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mihir Solanki ◽  
Darshak Desai

Purpose The purpose of this paper is to illustrate how Six Sigma methodology has been applied in a small-scale foundry industry to improve the overall first-pass material yield and quality, with a view to the product and the process. Design/methodology/approach The researchers have reported this paper based on a case study carried out in industry using the Six Sigma Define, Measure, Analyze, Improve and Control (DMAIC) and its application in improving the manufacturing process of a foundry shop. Findings Identified root causes are validated and countermeasures are implemented for improvement. As a result of this case study, the overall first-pass yield of the sand casting process is improved to 78.88% from the previous yield of 67%. For product-specific case, yield is improved by 18% through the improved gating system design. Sigma level of the process is improved to 3.08 from baseline 2.21. Key lessons learned from this case study are mentioned in the current study. Research limitations/implications This case study provides a standard road map and motivates small-scale foundry industries to implement Six Sigma methodology for productivity improvement, especially in jobbing foundry. The presented paper is based on a single case study, and the results are limited to the company only. Also, one of the reasons for low process yield is slag creation, which is not covered here, as it is a concern of the material quality supplied by the vendor. However, the approach of this paper is generic for learning perspective. Practical implications This case study provides a standard road map and motivates small-scale foundry industries to implement Six Sigma methodology for productivity improvement, especially in jobbing foundry. Through the effective application of Six Sigma quality initiative, how a quantum jump in financial aspect could be gain, has been demonstrated. Originality/value This research study showcases step-by-step implementation of Six Sigma-DMAIC methodology at a small-scale foundry industry. This paper could serve as a unique roadmap for practitioners and academicians to improve the material productivity of the foundry industry both ways, product and process.


2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Dheya Abdulamer ◽  
Abdulkader Kadauw ◽  
Jürgen Bast

In this work, an attempt has been made to improve the sand casting process by reducing the percentage of casting defects. The enhancement of the sand casting process is based on producing green sand castings with good pattern profiles and no failures at any complex ‎points during the separation process, handling and transportation. This work ‎introduces modified, non-destructive, direct tests for measuring sand mould ‎properties using sensor readings. ‎A new flowability sensor has been used to measure the time-dependent density, ‎distance-dependent mould hardness, and distance-dependent mould strength. The ‎sensor is able to detect sand motion at the desired points during the mould-making process. The live characterisation of the green sand mould is used to determine the optimum ‎parameters for the compaction process, reduction of the moulding time, and spent ‎energy, so that the cost of the moulding and casting process will be reduced.‎ It has been found that there is a linear relationship between the properties of the green sand samples and the sensor signals. The new method facilitates the measurement of sand properties and determines the most effective moulding parameters based on the flowability sensor readings. The resultant increases in both compactibility and compaction pressure improve mould hardness and mould strength.


2013 ◽  
Vol 313-314 ◽  
pp. 1130-1134 ◽  
Author(s):  
C.M. Choudhari ◽  
K.J. Padalkar ◽  
K.K. Dhumal ◽  
B.E. Narkhede ◽  
S.K. Mahajan

The use of Aluminum castings parts in the automotive industry has increased dramatically over the past few decades. The driving force for this increased use is vehicle weight reduction for improved performance. In many cases the mechanical properties of the cast aluminum parts are superior to those of the cast iron or wrought steel parts being used.This paper proposes the computer simulation of the sand casting of Aluminum Plate. It aims to study the behavior of fluid flow during mould filling and solidification and to optimize the process parameters, which help to predict and control casting defects such as gas porosity and shrinkage porosity. Here an attempt is being made to model and simulate the casting process using the AutoCAST software. The technological as well as practical aspects of using casting software are illustrated with an industrial case study.


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