Wyniki wyszukiwania - BazTech

1

Influence of Taguchi-Grey Relational Analysis of Gating System Design on Mechanical Properties of Casting

Ingle P. D., Narkhede B. E.

Archives of Foundry Engineering

|

2019

|

iss. 3

72--77

EN

Throughout the casting process, mold filling plays a very significant role in the casting quality control. It is important to study the effect of gating system design on ingate velocity of the metal which affects the mechanical properties of casting. The effect of varying the design of four gating system elements namely pouring cup, sprue height, runner and ingate design on the multiple responses like tensile strength and percentage elongation is studied using a Taguchi’s L9 OA. The Taguchi technique was coupled with a Grey Relational Analysis (GRA) to obtain a Grey Relational Grade (GRG) for evaluating multiple responses. ANOVA has been applied to identify the significance of different parameters and it was found that the pouring cup design and the runner cross-section along its length collectively contributed above 76% of the total GRG value. Finally, the confirmation tests were performed to validate the predicted optimized results and it established an improvement of 9.90% from the initial design.

2

Multi objective optimization by application of Taguchi based Grey Relational Analysis for GMA welding of IS2062 structural steel

Rizvi S. A., Tewari S. P.

Mechanics and Mechanical Engineering

|

2017

|

Vol. 21, nr 3

717--729

EN

Basic object of this research article was to investigate the parametric optimization of welding parameters such as arc voltage, wire feed speed and shielding gas flow rate for IS 2062 structural steel by integrating Taguchi method and Grey relational analysis. Experiments were conducted as per L16 (4xx3) orthogonal array. Design and Mechanical properties such tensile strength, Microhardness, toughness, and Microstructure of IS 2062 structural steel optimized by Grey-based Taguchi analysis were investigated, as they were selected as quality targets. Based on result of the grey relational analysis, a set of optimum welding parameters was obtained. The observed data from result have been interpreted, discussed and analyzed by integration of Grey-Taguchi methodology to optimize tensile strength, microhardness and percentage elongation.

3

An experimental study on optimizing for tandem gas metal arc welding process

Lee J. P., Park M. H., Kim D. H., Jin B. J., Shim J. Y., Kang B. Y., Kim I. S.

Journal of Achievements in Materials and Manufacturing Engineering

|

2015

|

Vol. 68, nr 2

72--79

EN

Purpose: To enhance productivity and provide high quality production material in a GMA welding process, weld quality, productivity and cost reduction affects the number of process variables. In addition, a reliable welding process and conditions must be implemented to reduce weld structure failure. Design/methodology/approach: The research investigates the interaction between the welding parameters (welding speed, distance between electrodes, and flow rate of shielding gas) and bead geometry for predicting the weld bead geometry (bead width, bead height). Taguchi techniques are applied to bead shape to develop curve equation for predicting the optimized process parameters and quality characteristics by analysing the S/N ratio. Findings: The experimental results and measured error is within the range of 10% presenting satisfactory accuracy. The curve equation was developed in such a way that you can predict the bead geometry of constructed machinery that can be used for making tandem welding process. Research limitations/implications: In various industries the welding process mathematical model is not fully formulated for the process parameter and on the welding conditions, therefore only partial variables can be predicted. Originality/value: This paper focused on the anode-cathode distance that can prevent arc blow in tandem GMA welding process. We also analysed the welding quality characteristics according to the bead geometry and welding parameters through S/N ratio dependent on the welding speed and flow rate variation of shielding gas. Finally, a mathematical model being able to predict the welding quality based on the given welding parameters using statistical method has been developed.