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Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations.

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Title: Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations.
Authors: Chattopadhyay, Pritthi1 pritthichatterjee@gmail.com, Mondal, Sudeepta1 sudeepta979@gmail.com, Bhattacharya, Chandrachur1 chandrachur.bhattacharya@gmail.com, Mukhopadhyay, Achintya2 achintya.mukho@gmail.com, Ray, Asok1 axr2@psu.edu
Source: Journal of Mechanical Design. Nov2017, Vol. 139 Issue 11, p1-10. 10p.
Subjects: Dynamic data exchange, Algorithms, Combustion chambers
Abstract: Prediction of thermoacoustic instabilities is a critical issue for both design and operation of combustion systems. Sustained high-amplitude pressure and temperature oscillations may cause stresses in structural components of the combustor, leading to thermomechanical damage. Therefore, the design of combustion systems must take into account the dynamic characteristics of thermoacoustic instabilities in the combustor. From this perspective, there needs to be a procedure, in the design process, to recognize the operating conditions (or parameters) that could lead to such thermoacoustic instabilities. However, often the available experimental data are limited and may not provide a complete map of the stability region(s) over the entire range of operations. To address this issue, a Bayesian nonparametric method has been adopted in this paper. By making use of limited experimental data, the proposed design method determines a mapping from a set of operating conditions to that of stability regions in the combustion system. This map is designed to be capable of (i) predicting the system response of the combustor at operating conditions at which experimental data are unavailable and (ii) statistically quantifying the uncertainties in the estimated parameters. With the ensemble of information thus gained about the system response at different operating points, the key design parameters of the combustor system can be identified; such a design would be statistically significant for satisfying the system specifications. The proposed method has been validated with experimental data of pressure time-series from a laboratory-scale lean-premixed swirl-stabilized combustor apparatus. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 126301089
AccessLevel: 6
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PubTypeId: academicJournal
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  Data: Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations.
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  Data: <searchLink fieldCode="AR" term="%22Chattopadhyay%2C+Pritthi%22">Chattopadhyay, Pritthi</searchLink><relatesTo>1</relatesTo><i> pritthichatterjee@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mondal%2C+Sudeepta%22">Mondal, Sudeepta</searchLink><relatesTo>1</relatesTo><i> sudeepta979@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bhattacharya%2C+Chandrachur%22">Bhattacharya, Chandrachur</searchLink><relatesTo>1</relatesTo><i> chandrachur.bhattacharya@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Mukhopadhyay%2C+Achintya%22">Mukhopadhyay, Achintya</searchLink><relatesTo>2</relatesTo><i> achintya.mukho@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Ray%2C+Asok%22">Ray, Asok</searchLink><relatesTo>1</relatesTo><i> axr2@psu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mechanical+Design%22">Journal of Mechanical Design</searchLink>. Nov2017, Vol. 139 Issue 11, p1-10. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Dynamic+data+exchange%22">Dynamic data exchange</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Combustion+chambers%22">Combustion chambers</searchLink>
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  Label: Abstract
  Group: Ab
  Data: Prediction of thermoacoustic instabilities is a critical issue for both design and operation of combustion systems. Sustained high-amplitude pressure and temperature oscillations may cause stresses in structural components of the combustor, leading to thermomechanical damage. Therefore, the design of combustion systems must take into account the dynamic characteristics of thermoacoustic instabilities in the combustor. From this perspective, there needs to be a procedure, in the design process, to recognize the operating conditions (or parameters) that could lead to such thermoacoustic instabilities. However, often the available experimental data are limited and may not provide a complete map of the stability region(s) over the entire range of operations. To address this issue, a Bayesian nonparametric method has been adopted in this paper. By making use of limited experimental data, the proposed design method determines a mapping from a set of operating conditions to that of stability regions in the combustion system. This map is designed to be capable of (i) predicting the system response of the combustor at operating conditions at which experimental data are unavailable and (ii) statistically quantifying the uncertainties in the estimated parameters. With the ensemble of information thus gained about the system response at different operating points, the key design parameters of the combustor system can be identified; such a design would be statistically significant for satisfying the system specifications. The proposed method has been validated with experimental data of pressure time-series from a laboratory-scale lean-premixed swirl-stabilized combustor apparatus. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Mechanical Design is the property of American Society of Mechanical Engineers and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1115/1.4037307
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        Text: English
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        PageCount: 10
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      – SubjectFull: Dynamic data exchange
        Type: general
      – SubjectFull: Algorithms
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      – SubjectFull: Combustion chambers
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      – TitleFull: Dynamic Data-Driven Design of Lean Premixed Combustors for Thermoacoustically Stable Operations.
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              M: 11
              Text: Nov2017
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