Optimization of Spiral Plate Heat Exchanger by Gradient Based Optimizer
T. Anup Kumar1, Noble Sharma2, Md. Noor Mohammad3, B.T. Pradeep4, U. Saichand5, N. Mohan Vamsi6
1T. Anup Kumar, Professor, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
2Noble Sharma, Postgraduate Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
3Md. Noor Mohammad, Undergraduate Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
4B.T. Pradeep, Undergraduate Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
5U. Saichand, Undergraduate Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
6N. Mohan Vamsi, Undergraduate Student, Department of Mechanical Engineering, Koneru Lakshmaiah Education Foundation, Guntur (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1819-1823 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4080048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Gradient based search algorithm, ‘fmincon’ is applied for thermal design optimization of the (SHE) spiral plate heat exchanger. SHE are self-cleaning by virtue of their spiral geometry, which ensures scrubbing of the any adhesives that get attached to the flow surface. This results in very minimal maintenance and greater reliability. The total life cycle cost minimization of the SHE is considered as the objective in the present study, subject to constraints of pressure drop, heat exchanger size and heat load. Results in this optimization study have been compared with those obtained by Genetic Algorithm (GA), Wind driven Algorithm (WDO). It is revealed that the total cost obtained by the FMINCON algorithm, post optimization, is 53.2%, 13% lower than Moretta [4], Bidabadi [1], and 13.157% higher than WDO [2]. However it is observed that the slightly higher cost as obtained by FMINCON is more than offset by the extremely poor value of “Overall heat transfer coefficient”, obtained by WDO.
Keyword: Spiral Plate Heat Exchanger (SHE), Cost Optimization, FMINCON, Pressure Drop, Heat Load Wind Driven Optimization (WDO).
Scope of the Article: Heat Transfer