Optimization of Mg2(Si-Sn) based thermoelectric generators using the Taguchi method

Pandel, Divija; Singh, Amit Kumar; Banerjee, Malay; Gupta, Ritesh

doi:10.1016/j.matpr.2020.10.457

Cited by 2 publications

(6 citation statements)

References 40 publications

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“…On the other hand, Pandel et al, [27] reported a contrary result from the preceding works mentioned above. A TEG system built with Mg2(Si-Sn) was analyzed via a numerical model to investigate the output power and efficiency of the module.…”

Section: Leg Lengthmentioning

confidence: 79%

“…Meanwhile, when the leg length was 4 mm, the output power and conversion efficiency were 9.04 W and 9.32%, respectively. As stated by Pandel et al, [27], the output power decreases drastically due to the increases in electrical resistance when the leg length increases. On the other hand, the increase in thermoelectric leg length will increase the temperature gradient of the module, thereby resulting in a higher conversion efficiency value.…”

Section: Leg Lengthmentioning

confidence: 80%

“…On the other hand, the increase in thermoelectric leg length will increase the temperature gradient of the module, thereby resulting in a higher conversion efficiency value. From the graph in Figure 2(a), it is acknowledged that 1.4 mm can be taken as the optimized leg length [27].…”

Section: Leg Lengthmentioning

confidence: 99%

“…Nonetheless, cross-sections that are too large are undesirable as they may negatively affect the thermo-mechanical performance of the device. For that reason, Pandel et al, [27] had run an analysis to find the optimum leg cross-section area value that can maximize the thermoelectric performance of the Mg2(Si-Sn) module. Similar to the analysis result for the leg length presented in the preceding subsection, the output power and conversion efficiency follow an inverse trend, wherein the output power will increase while the efficiency decreases in respect to increasing in the thermoelectric leg cross-section area.…”

Section: Leg Cross-sectional Areamentioning

confidence: 99%

See 3 more Smart Citations

A Review on Thermoelectric Generators: Structural Optimization and Economic Analysis

Shah

Redzuan

Zaki

et al. 2023

ARFMTS

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The interest in recovering waste heat has resurged in recent years due to growing concerns about the energy crisis and global warming. A thermoelectric generator (TEG) is regarded as an environmentally-friendly technology for capturing and recovering waste heat by directly converting heat to electrical energy via the Seebeck effect. The critical challenge in improving this technology is the low conversion efficiency of the TEG device, thus limiting its application to a niche area. The structural optimization of TEG has been the subject of extensive research over the past few years. Nonetheless, there is currently a lack of review studies focusing on TEG structural optimization, and to the best of our knowledge, only one review paper associated with this key area is available in the literature. This work presents an analysis of the ongoing research progress of TEG structural optimization with a focus on the thermoelectric leg length, leg cross-sectional area, angle of the legs, and leg shape. In addition, the economic analysis of the application of TEG in recovering waste heat is also presented to rationalize the economic feasibility of this technology compared to other existing technologies.

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Section: Leg Lengthmentioning

confidence: 79%

Section: Leg Lengthmentioning

confidence: 80%

Section: Leg Lengthmentioning

confidence: 99%

Section: Leg Cross-sectional Areamentioning

confidence: 99%

See 2 more Smart Citations

A Review on Thermoelectric Generators: Structural Optimization and Economic Analysis

Shah

Redzuan

Zaki

et al. 2023

ARFMTS

View full text Add to dashboard Cite

show abstract

“…Kumar et al [44] investigated the effect of wire electrical discharge machining (WEDM) process parameters on the rate of material removal (MRR), surface roughness (SR), and corrosion rate (CR) of ZE41A magnesium alloy using the Taguchi method, and determined the optimized parameter combinations of each of them based on considering the interaction among process parameters. Pandel et al [45] reported the influence of input parameters (including cross-sectional area and TE leg length) on the output parameter (power output of Mg2(Si-Sn) thermoelectric generators) using the Taguchi method, and the contributions of each parameter were obtained by ANOVA analysis with the results of 35.22% and 27.62%, respectively. In our study, adopting the Taguchi method can minimize the number of experiments required to achieve a fuller understanding of the effects of processing parameters on the relative density of LPBF-fabricated TA15 titanium alloy.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Parameters in Laser Powder Bed Fusion TA15 Titanium Alloy Using Taguchi Method

Liu

Wang

et al. 2022

Crystals

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In this work, laser powder bed fusion (LPBF) was explored to fabricate TA15 (Ti-6Al-2Zr-1Mo-1V) titanium alloy based on the experimental design obtained by using the Taguchi method. The impact of processing parameters (including laser power, scanning speed, and scanning interval) on the density and microhardness of the as-LPBFed TA15 titanium alloy was analyzed using the Taguchi method and analysis of variance (ANOVA). The interaction among parameters on the density of the as-LPBFed TA15 titanium alloy was indicated by a response surface graph (RSR). When the laser energy density was adjusted to 100 J/mm3, the highest relative density could reach 99.7%. The further increase in the energy input led to the reduction in relative density, due to the formation of tiny holes caused by the vaporization of material at a high absorption of heat. Furthermore, in order to better reveal the correlation between relative density and processing parameters, the regression analysis was carried out for relative density. The results showed that the experimental and predicted values obtained by the regression equation were nearly the same.

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Optimization of Mg2(Si-Sn) based thermoelectric generators using the Taguchi method

Cited by 2 publications

References 40 publications

A Review on Thermoelectric Generators: Structural Optimization and Economic Analysis

A Review on Thermoelectric Generators: Structural Optimization and Economic Analysis

Optimization of Parameters in Laser Powder Bed Fusion TA15 Titanium Alloy Using Taguchi Method

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