Optimization of Sulfur-Free-Cutting Steelmaking Variables: Six Sigma-Based Approaches

Ming Hung Shu; Peng Jen Chen; Bi Min Hsu; Thanh Lam Nguyen; Jun Hsien Yeh; Thanh Hien Lam; Tsun Ho Lin

doi:10.4028/www.scientific.net/AMM.470.425

Paper Titles

Design Research of Steel Pipe Combination of Angle Steel Tower of XiYue 220kV Cross Section
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Design of the Disc Cam Profile with Negative Radius Translating Roller Follower
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Evaluating Manufacturing Processes with a Novel Approach of Making Fuzzy Judgement
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Evaluation of Roundness Error Based on the Position of the Centers
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Optimization of Sulfur-Free-Cutting Steelmaking Variables: Six Sigma-Based Approaches
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Parameters Optimization of Axial Vibration Drilling Based on the Exit Burr
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Parametric Design of Six Typical Semi-Outdoor Reticulated Domes
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Shield Lining Segments Design Research Based on Characteristic Parameters
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Simulative and Experimental Study on Electromagnetic Pump Supplying Liquid Alloys during Casting: Modeling and Effects of Design Parameters on Pump Height
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 470Optimization of Sulfur-Free-Cutting Steelmaking...

Optimization of Sulfur-Free-Cutting Steelmaking Variables: Six Sigma-Based Approaches

Abstract:

This research focuses on the adoption of the six-sigma DMAIC methodology to acquire the optimal combination parameters of sulfur free-cutting steel processes, thus achieving a stable production and reducing costs. The key point to sulfur free-cutting steels production is managing critical variables among the process input and output. In this paper, based on the systematic steps of the six sigma, experimental designs, and quality-related control methods, the optimal variables for the sulfur free-cutting steels refining process are obtained. This success has achieved the average decline in consumption of ferromanganese up to 12% along with annual savings of more than NT$15 million in production costs for the China Steel Corporation in Taiwan.

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Periodical:

Applied Mechanics and Materials (Volume 470)

Pages:

425-428

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.470.425

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Online since:

December 2013

Authors:

Ming Hung Shu*, Peng Jen Chen, Bi Min Hsu, Thanh Lam Nguyen, Jun Hsien Yeh, Thanh Hien Lam, Tsun Ho Lin

Keywords:

Design of Experiment (DOE), Oxygen Blowing, Six-Sigma Approach, Sulfur Free-Cutting Steel, Variables Optimization

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