Vibration Level Improvement of Id Fan in a Cement Plant Based On CFD Study of Incoming Dust Particles Streamline

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2016, Vol 4, Issue 3

Abstract

This paper presents numerical study of aerosol flow inside of the induce draft (ID) fan inlet duct of a cement plant and the field observation of the proposed guide plate implementation as vibration reducer. Since ID fan sucks the flow from the outlet of cyclone separator, that is normally swirling flow, and the geometry of the duct tends to produce unbalance fine particles distribution over the duct cross section, the vibration of ID fan increases periodically due to unbalance built-up of the fine particles over fan blades surface. Numerical result shows that, at the ID fan inlet, the distribution of fine particles is unbalance. The ratio of particles concentration in the gas entering fan side and motor side of the ID fan is 1.4 to 1 which influences on the unbalance deposition of sticky particles over related blades surface. Using proper guide plate installed in the last duct elbow before entering to the fan, the ratio of unbalance fine particles concentration reduces to 1.05 to 1 and is kept up to the fan free side and motor side inlets. The proposed guide plate has also already installed in a cement plant ID fan duct and vibration characteristic was also observed during 4 months after tie-in period. The plant vibration observation shows that its level is practically unchanged and maintained at low level (around 2 mm/s at fan side and 0.5 mm/s at motor side) which is still lower than maximum limit (11 mm/s). This condition reduces significantly vibration level and eliminates practically plant stop due to over vibration of ID fan along last 4 months operation which was normally suffered every 1.5 months before implementation of this study.

Authors and Affiliations

Prihadi Setyo Darmanto, Arief Syahlan, Alfi Amalia

Keywords

Related Articles

Approaching Mental Disorders from the Engineering Point of View

Mental illness and mental disorders represent an increasing burden affectingthepopulation of all ages at all places, challenging mental health and health systems and contributing to the onset or to the acceleration of ma...

Creatinine, Urea and Uric Acid in Hospitalized Patients with and Without Hyperglycemia Analysis using Generalized Additive Model

Hyperglycemia is an important risk factor for heart disease and premature mortality. In hospitalized patients, it is related to an increase in morbidity and development of other disease like kidney disease. To evaluate t...

Comparative Study of Governance Information Systems for Scientific Research

The research and innovation effort is a major asset in international economic competition. Research and technological development are key areas to achieve this, contributing to economic growth and job creation. In order...

3D HMM-based Facial Expression Recognition using Histogram of Oriented Optical Flow

In this paper, we propose a 3D HMM (Three-dimensional Hidden Markov Models) approach to recognizing human facial expressions and associated emotions. Human emotion is usually classified by psychologists into six categori...

English Premier League (EPL) Soccer Matches Prediction using An Adaptive Neuro-Fuzzy Inference System (ANFIS) for

Prediction of English Premiership League (EPL) matches has been on the heart and minds of researcher over the pass decades, but none has sufficiently introduced and Adaptive Neuro-Fuzzy Inference System (ANFIS) approach...

Download PDF file
  • EP ID EP277215
  • DOI 10.14738/tmlai.43.2076
  • Views 68
  • Downloads 0

How To Cite

Prihadi Setyo Darmanto, Arief Syahlan, Alfi Amalia (2016). Vibration Level Improvement of Id Fan in a Cement Plant Based On CFD Study of Incoming Dust Particles Streamline. Transactions on Machine Learning and Artificial Intelligence, 4(3), 23-29. https://europub.co.uk/articles/-A-277215