Experimental and numerical study on the energy-efficient CO2 capture from flue gas by temperature swing adsorption: a comparative analysis of zeolite 13X and other adsorbent materials Fayaz Hussain, Meenaloshini A/P Satgunam, Ramavat Ganapati, Balram Yelamasetti, Shubham Sharma, et al. International Journal of Chemical Reactor Engineering, 2026 Anthropogenic CO 2 emissions to the atmosphere are one of the most concerning climate issues in the modern era. This prompts scientists to look forward to carbon capture devices. Temperature swing adsorption (TSA), in particular, is a critical and successful technique for reducing CO 2 emissions and achieving carbon neutrality in CO 2 adsorption technology. In this work, the effectiveness of TSA for CO 2 capture on adsorbent zeolite 13X in a post-combustion setting is evaluated. The breakthrough curves from the adsorption processes were measured using a numerical model that was created. In this assessment, four common adsorbent materials like, Mg-MOF-74, zeolite 13X, activated carbon, and Zeolite-NaUSY, have been selected for comparative analysis. The developed model is verified using experimental data from the literature and is found to fit well, with a maximum probable error of ±11.24 %. Further, this numerical model has also been validated against the TSA models for signifying the accuracy of the proposed model. Analysis is done for the adsorber bed’s design and performance parameters, including CO 2 purity, CO 2 recovery, CO 2 concentration ratio and adsorption efficiency of CO 2 , across an inlet temperature range of 303–393 K, where 393 K represents an upper sensitivity limit relevant to regeneration conditions rather than optimal adsorption operation. The results demonstrate that temperature significantly influences TSA cycle behavior, capturing the transition from adsorption-dominant to desorption-dominant regimes, with a 17.37 % variation in concentration ratio across the studied temperature range. Additionally, Mg-MOF-74, activated carbon, zeolite-NaUSY, and zeolite 13X were evaluated as sorbent materials for assessing comparative adsorption performance. The proposed numerical model provides a reliable predictive tool for analyzing TSA performance under varying thermal and material conditions.
Chemically synthesized graphene nanofluids-infused propylene glycol-water mixtures for enhanced thermal energy transmission properties for high-temperature applications: Assessment and multiobjective optimisation using response surface methodology Raviteja Surakasi, Raja Subramani, Praveenkumar V, Maher Ali Rusho, Shubham Sharma, et al. International Journal of Chemical Reactor Engineering, 2026 The aim of the given study is to enhance the thermal energy transmission properties of propylene glycol (PG)-water mixture by adding chemically synthesized graphene nanopowder in concentrations of 0.25 wt% and 0.50 wt% into three ratios of the base fluids 100:0, 75:25 and 50:50. The aim of the research is to investigate the effect of graphene concentration and temperature to a maximum of 120 °C on the thermal conductivity of the nanofluids and optimize the two variables through Response Surface Methodology (RSM). Ultrasonication was used to prepare nanofluids in order to provide good dispersion and thermal conductivity was measured experimentally through a KD2 Pro analyzer. The findings indicate that graphene can vastly increase thermal conductivity by 10–14 % in all mixtures with the highest conductivity of 0.592 W/mK in the mixture of 0.5 wt percent graphene in 120 °C water. The quadratic forms of RS models demonstrated a great predictive power with the R 2 of 0.9963, 0.9975, and 0.9916 of the three mixtures. The thermal conductivity values at 120 °C and 0.5 wt% graphene had been optimized as 0.551 W/mK of PG (100:0), 0.569 W/mK of PG-water (75:25) and 0.592 W/mK of PG-water (50:50). These results affirm that the graphene-enriched PG-water nanofluids have better thermal characteristics and have significant possibilities of high temperature cooling and heat transfer use.
An enhanced mean signal-to-noise ratio strategy for multi-parametric optimizations of friction stir welding (FSW) of dissimilar AA6061/AA7075 thick Al-alloy joints by using Taguchi’s–Grey relational analysis method: unveiling the microstructural morphological characterizations R Venkateswara Rao, M S Srinivasa Rao, Balram Yelamasetti, M Senthil Kumar, M P Roshindas, et al. Journal of Mechanics, 2026 The lightweight materials are highly suitable in the automotive, transportation, marine, defense, rail and other industrial sectors, due to their excellent strength-to-weight ratio. The environmentally friendly Friction Stir Welding (FSW) method was used in this work to produce solid-state joints with polygonal pin profiles. Weld trails were designed using an orthogonal array of L27 runs with five parameters each at three levels. AA6061/AA7075 Al-alloys in a dissimilar combination were processed using the polygonal pin profiles. The regression Eq. helps in developed the mathematical model to frame the relationship between input parameters to responses. In order to obtain precise F and P values the current work concentrated on determining the optimal condition by using predicted mean values of the outcomes. The experimental test results proved that, the highest values of Ultimate Tensile Strength, Yield Strength, Hardness and Flexural Strength of weld joint are measured as 237 MPa, 223 MPa, 122 HV, and 262 MPa respectively. The maximum joint efficiency of the sample 11, processed at a tool rotational speed of 900 rpm, weld speed of 20 mm/min, Tilt angle of 1o, offset of 1.5 mm and with a hybrid square profile is found as 87%, which is validated by American Welding Society (AWSD17) standards.
Numerical Investigation of MHD Flow of a Tangent Hyperbolic Fluid in a Porous Medium with Viscous Dissipation, Soret and Dufour Effects Umamaheswara Rao K, Siva Reddy Sheri, Srinivas Reddy Kallem, Alfunsa Prathiba Perli, Shankar Gollapalli, et al. European Journal of Pure and Applied Mathematics, 2025 A numerical analysis was performed on the steady-state magnetohydrodynamics of a tangent hyperbolic nanofluid (THNF) flowing over a vertically expanding surface with nonlinear expansion. This study examines the influence of factors such as sheet thickness variation, Darcy number, magnetic field, heat source/sink, thermal conductivity, viscous dissipation, and thermal radiation on THNF flow behavior. The THNF model, classified as a non-Newtonian fluid, is widely utilized in laboratory settings and industrial machinery for the management of excessive heat. The governing equations were non-dimensionalized and transformed into a system of ordinary differential equations (ODEs) using similarity variables to evaluate the flow. The ordinary differential equations were solved numerically using the MATLAB BVP4C solver. A comparative evaluation was conducted to assess the accuracy of the results. Graphical analysis demonstrated that activation energy increases the mass transfer rate, while chemical reactions typically reduce it. The research also demonstrated that the Weissenberg number, Brownian motion, and Rayleigh number collectively increase the fluid temperature. Additionally, increasing the Darcy number and thermal radiation improved fluid flow and heat transfer rates, respectively. Skin friction increased with higher and magnetic field intensity, even though the rate of energy transmission decreased.
An incremental convex programming model of the elastic frictional contact problems Proceedings of the ASME STLE International Joint Tribology Conference Ijtc 2004, 2004
An approximate solution of heat diffusion problems in composite spherical media Journal of Engineering and Applied Science, 2003
An incremental convex programming model of the elastic frictional contact problems Journal of Engineering and Applied Science, 2002
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