Improvement of a Boiler Feedwater System Using Six Sigma Analysis

P.N. Preeta; A.A. Faieza; Z. Norzima; M.Y. Rosnah

doi:10.4028/www.scientific.net/AMR.912-914.1644

Paper Titles

Experimental Study on the Influence of Temperature and Confined Load on the Creep Characteristics of Geogrid
p.1629

Function Analysis of Mature Products Based-on the Function Unit
p.1633

Geological and Seismic Stratigraphy of Wangfu Sag
p.1637

Impact on its Financial Industry Gathering in Tianjin Economic Growth
p.1640

Improvement of a Boiler Feedwater System Using Six Sigma Analysis
p.1644

Method and Implementation of Lean Thinking Based on the Construction Management Model of Lean
p.1648

Method of Secondary Logging Interpretation of Heterogeneous Reservoirs in the Huan 26 Block, Liaohe Huanxiling Oilfield
p.1652

O&M Management and Control Practices of OPRS System Application
p.1657

Parameter Estimation for Lomax Distribution under Type II Censoring
p.1663

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 912-914Improvement of a Boiler Feedwater System Using Six...

Improvement of a Boiler Feedwater System Using Six Sigma Analysis

Abstract:

Industrial boiler systems are used in manufacturing plant to generate steam for the purpose of production. The current boiler feed exhibits the feedwater chemical parameters that are not consistent with the acceptable water chemistry limits. Around 60% of damages of power plant equipment occur due to deviation from the normal water chemistry. The Six Sigma DMAIC method was used to investigate and prioritize the main issues revolving around these parameters-namely Define-Measure-Analyze-Improve-Control. Based on this case study of the plant, it was found that the leading issues are that there is insufficient pretreatment to remove silica. It was found that there has been significant improvement to water quality to almost all the investigated parameters namely the Silica content, Hardness content and P-alkalinity in the water. The results of this study have proven that Six Sigma is useful in creating sustainable improvement in process in an organization.

You might also be interested in these eBooks

Frontiers of Advanced Materials and Engineering Technology II

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 912-914)

Pages:

1644-1647

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.912-914.1644

Citation:

Cite this paper

Online since:

April 2014

Authors:

P.N. Preeta*, A.A. Faieza, Z. Norzima, M.Y. Rosnah

Keywords:

Boiler Systems, Six Sigma, Total Quality Management (TQM)

Export:

RIS, BibTeX

Price:

Permissions:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Linderman, R. S. (2003). Six Sigma: a goal-theoretic perspective. Journal of Operations Management, 21, 193–203.

DOI: 10.1016/s0272-6963(02)00087-6

Google Scholar

[2] Straub, F. G. (1939). Purification of water for boiler feed purposes. Journal of the Franklin Institute, 591–606.

DOI: 10.1016/s0016-0032(39)90587-9

Google Scholar

[3] Smith, R., & Mobley, R. K. (2008). Chapter 7 – Total Productive Maintenance. Butterworth Heinman.

Google Scholar

[4] Ghosh, H. R. (2010). Failure investigation of platen superheater tube in a 210 MW thermal power plant boiler. Trans. Indian Inst. Met., 63, 687–690.

DOI: 10.1007/s12666-010-0105-y

Google Scholar

[10] Sankar, B. P. (2001). Modified approach for prioritization of failures in a system failure mode and effects analysis. International Journal of Quality & Reliability Management, 324–336.

DOI: 10.1108/02656710110383737

Google Scholar

[5] Vidojkovica, A. O. ( 25 September 2013). Extensive feedwater quality control and monitoring concept for preventing chemistry-related failures of boiler tubes in a subcritical thermal power plant. Applied Thermal Engineering Volume 59, Issues 1–2, 683–694.

DOI: 10.1016/j.applthermaleng.2013.06.028

Google Scholar

[6] Feed Water Treatment for Industrial Boilers & Power Plants. (June 2003). Filtration & Separation Volume 40, Issue 5, , 28–29.

DOI: 10.1016/s0015-1882(03)00529-9

Google Scholar

[7] Chang, K. (2009). Evaluate the orderings of risk for failure problems using a more general RPN methodology. Microelectronics Reliability, 1586–1596.

DOI: 10.1016/j.microrel.2009.07.057

Google Scholar