Thermal design and optimization of fin-and-tube heat exchanger using heat transfer search algorithm

Raja, Bansi D.; Patel, Vivek; Jhala, R.L.

doi:10.1016/j.tsep.2017.08.004

Cited by 45 publications

(16 citation statements)

References 30 publications

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Section: Figurementioning

confidence: 99%

“…These noticeable advantages of the HTS algorithm are observed at the cost of computation time. HTS has been successfully applied to different benchmarking problems pertaining to different fields [27,28,29,30,31]. However, to the best of the authors’ knowledge, no study has been reported on the application of HTS for manufacturing problems.…”

Section: Introductionmentioning

confidence: 99%

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Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

et al. 2019

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Nitinol, a shape-memory alloy (SMA), is gaining popularity for use in various applications. Machining of these SMAs poses a challenge during conventional machining. Henceforth, in the current study, the wire-electric discharge process has been attempted to machine nickel-titanium (Ni55.8Ti) super-elastic SMA. Furthermore, to render the process viable for industry, a systematic approach comprising response surface methodology (RSM) and a heat-transfer search (HTS) algorithm has been strategized for optimization of process parameters. Pulse-on time, pulse-off time and current were considered as input process parameters, whereas material removal rate (MRR), surface roughness, and micro-hardness were considered as output responses. Residual plots were generated to check the robustness of analysis of variance (ANOVA) results and generated mathematical models. A multi-objective HTS algorithm was executed for generating 2-D and 3-D Pareto optimal points indicating the non-dominant feasible solutions. The proposed combined approach proved to be highly effective in predicting and optimizing the wire electrical discharge machining (WEDM) process parameters. Validation trials were carried out and the error between measured and predicted values was negligible. To ensure the existence of a shape-memory effect even after machining, a differential scanning calorimetry (DSC) test was carried out. The optimized parameters were found to machine the alloy appropriately with the intact shape memory effect.

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Section: Figurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

et al. 2019

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“…On the contrary, annualized cost values decreases with increasing fin inside diameters-d b relying on the numerical relationship expressed in Eq. (18). It is also worth to mention that no constraint violation is observed for any defined design variable, which also idicates that all obtained optimum solutions residing in the feasible region of the search space.…”

Section: Optimization Resultsmentioning

confidence: 60%

“…The proposed optimization method is based on the molecular interactions of the systems to attain a thermal equilibrium with the surroundings. This metaheuristic optimizer is applied to thermal design optimization of a fin and tube heat exchanger with a view to minimize the total weight and total annual cost of the device [18]. Patel et al [19] present a multi-objective thermal design optimization of a Stirling heat engine taking into account of four different optimization objectives including thermal and exergy efficiency, power output, and ecological function using Heat Transfer Search algorithm.…”

Section: Introductionmentioning

confidence: 99%

A novel chaotic manta-ray foraging optimization algorithm for thermo-economic design optimization of an air-fin cooler

Turgut

2020

SN Appl. Sci.

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This research study aims to introduce chaos theory into the Manta Ray Foraging Optimization (MRFO) Algorithm and optimize a real-world design problem through the chaos-enhanced versions of this method. Manta Ray Foraging Optimization algorithm is a bio-inspired swarm intelligence-based metaheuristic algorithm simulating the distinctive food search behaviors of the manta rays. However, MRFO suffers from some intrinsic algorithmic inefficiencies such as slow and premature convergence and unexpected entrapment to the local optimum points in the search domain like most of the metaheuristic algorithms in the literature. Recently, random numbers generated by chaos theory have been incorporated into the metaheuristic algorithms to solve these problems. More than twenty chaotic maps are applied to the base algorithm and ten best performing methods are considered for performance evaluation on high-dimensional optimization test problems. Forty test problems comprising unimodal and multimodal functions have been solved by chaotic variants of MRFO and extensive statistical analysis is performed. Furthermore, thermo-economic design optimization of an air-fin cooler is maintained by the chaotic MRFO variants to assess their optimization capabilities over complex engineering design problems. Ten decisive design variables of an air fin cooler are optimized in terms of total annual cost rates and optimum solutions obtained by five best chaotic MRFO algorithms are compared to the preliminary design. A significant improvement is observed in the objective function values when MRFO with chaotic operators is applied to this considered thermal design problem.

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“…Detailed pseudocode of the HTS algorithm is given in Figure . Few application of HTS algorithm for the optimization of engineering system are available in the literature …”

Section: Hts Algorithmmentioning

confidence: 99%

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

Shah

Saliya

Raja

et al. 2019

Heat Trans. Asian Res.

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Recent developments in nanotechnology provided an opportunity to solve many complex problems in the field of energy. Performance investigation of the nanoscale thermal cycles can prove crucial in the development of efficient and less polluting energy system. Due to the influence of boundary phenomenon and quantum degeneracy effects, a nanoscale engine performs according to statistical quantum thermodynamics instead of classical thermodynamics. In this study, a nanoscale Stirling engine operating on an ideal Maxwell-Boltzmann gas is investigated for multiobjective optimization.Optimization problem of Stirling cycle is formed considering the thermal efficiency, ecological coefficient of performance and entropy generation. An application example of a nanoscale Stirling engine is presented and solved using Heat Transfer Search algorithm. Maxwell-Boltzmann gas restricted in a finite domain is studied and the effect of different parameters, such as surface area ratio, volume ratio, and temperature ratio of the domain, is investigated. Sensitivity analysis is carried out to identify the effect of design variables on the performance parameters. Further, influence of the source temperature and the number of particles of working fluid on the objective functions is studied and presented.

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Thermal design and optimization of fin-and-tube heat exchanger using heat transfer search algorithm

Cited by 45 publications

References 30 publications

Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

Multi-Response Optimization of WEDM Process Parameters for Machining of Superelastic Nitinol Shape-Memory Alloy Using a Heat-Transfer Search Algorithm

A novel chaotic manta-ray foraging optimization algorithm for thermo-economic design optimization of an air-fin cooler

A multiobjective thermodynamic optimization of a nanoscale Stirling engine operated with Maxwell‐Boltzmann gas

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