A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Journal Cover
Proceedings of the Indian National Science Academy
Number of Followers: 5  
 
  Full-text available via subscription Subscription journal
ISSN (Print) 0370-0046 - ISSN (Online) 2454-9983
Published by Springer-Verlag Homepage  [2468 journals]
  • Monitoring of environmental contamination by red mud and fly ash
           pollutants and its spectral reflectance of Koraput district,
           Odisha, India using Landsat-8 satellite image

    • Free pre-print version: Loading...

      Abstract: Abstract Red mud & fly ash are industrial waste generated during the extraction of alumina from bauxite. Red mud is composed of various oxides including iron oxide in bulk which gives it red colour. On the other hand, Fly ash is grey in its colour with a very fine size and can be easily carried away by wind. Both red mud & fly Ash contain high concentrations of various elements including radioactive elements. Its composition depends upon the type of raw material used. It is disposed of into man made ponds, landfills etc. Due to its hazardous nature if not stored/disposed properly pose a serious environmental hazard. Hence its regular monitoring is needed. It can be made simple by use of satellite data which is freely available and systematic results can be generated. This study attempts to examine the spectral reflectance signature of the pollutants-Red mud and Fly ash & its feature extraction and also to analyse its contamination in the surrounding area of Aluminium Extraction Company and to the nearby water reservoir using multi-spectral Landsat-8 Satellite image by employing three supervised machine learning classifiers i.e., Maximum Likelihood (ML) classifier, Support Vector Machine (SVM) classifier and Artificial Neural Network (ANN) classifier, over the period from 2015 to 2023. The result obtained for five years reveals that SVM yielded better overall accuracy and kappa coefficients and its average value of classification outputs were 89.11% and 0.83 followed by Artificial Neural Network classifier with 83.19% & 0.74, whereas Maximum Likelihood classifier yielded lowest average value i.e. 82.68% & 0.76 respectively. The results obtained were carefully examined by comparing classification accuracies and then by visual analysis. From the analysis of spectral signature it was concluded that the nearby reservoir is contaminated by fly ash and also found widely spread in the nearby areas too. The results of the present study indicated that significant changes in terms of the wide spread of pollutants have occurred in the study region, which has degraded the environment a lot.
      PubDate: 2024-02-23
       
  • Inhomogeneous string cosmological model of Bianchi type-I in general
           relativity

    • Free pre-print version: Loading...

      Abstract: Abstract An investigation is conducted into a higher-dimensional maximally symmetric inhomogeneous Bianchi type-I string cosmological model. In order to arrive at a deterministic solution, we have to assume Einstein string space metric depends on two variables in all four directions, and these variables are related to the condition: a(x,t) = L b(x,t), where L is a constant, and b(x,t) = f(x).g(t) This allows us to achieve a deterministic answer. g(t) and c(x,t) = h(x).k(t). The relationship between scalar expansion metric potential and shear tension is a straightforward one. In addition to this, the physical and geometrical characteristics of the higher dimensional string model of the universe are dissected.
      PubDate: 2024-02-23
       
  • Advances in surface water hydrology research in India

    • Free pre-print version: Loading...

      Abstract: Abstract India has a growing water crisis fueled by global warming and a rising population. There is an urgent need for accurate water availability assessments and sustainable water management strategies for urban and rural areas. This can be achieved by developing novel decision-making tools for effective water resource management by improving the hydrological models and our understanding of hydrological processes. The changing climate adds complexity to hydrological processes, necessitating accurate modelling and impact assessments to build climate change-resilient water resource systems. This review examines the advancements in hydrological process understanding and surface hydrological modelling in India from 2019 to 2023. Recent years have witnessed substantial contributions from the Indian hydrology community, which include quantifying climate change impacts on water and carbon cycle at a basin scale, improvements in hydrological modelling and forecasting extremes, the introduction of novel physics-based data-driven approaches, urban flood modelling and the development of first-ever state-of-the-art flood early warning system among other notable climate services. In addition, the idea of studying natural systems as coupled human-natural systems has gained prominence in India. This review aims to provide insights into recent developments in surface water hydrology in India and highlight the potential future avenues of research that can uplift water resources management in India.
      PubDate: 2024-02-23
       
  • Recent advances in anti-tumor therapeutic approaches for the universally
           active transcriptional factor c-MYC

    • Free pre-print version: Loading...

      Abstract: Abstract The universally active transcription factor c-Myc is essential for the regulation of global gene expression and has an impact on many biological functions, including cell division, proliferation, and death. Approximately 70% of human malignancies are caused by dysregulation of c-Myc, contributing to tumor initiation and maintenance. As a result, the therapeutic targeting of c-Myc has attracted considerable interest in the development of cancer drugs. Extensive in vivo studies have demonstrated that inhibition of c-Myc leads to substantial anti-proliferative effects and sustained tumor regression, while remaining reversible in healthy tissues. Despite its pivotal role in cancer progression, the lack of druggable binding pockets and complex protein–protein interaction (PPI) interfaces has traditionally deemed c-Myc as an “undruggable” target. Nevertheless, alternative strategies, such as disrupting the Myc/Max complex, inhibiting Myc transcription and/or translation, destabilizing Myc protein, and exploring synthetic lethality associated with Myc overexpression, have been explored to achieve desirable anti-tumor effects. This review provides a comprehensive overview of recent advancements in targeting oncogenic c-Myc, specifically focusing on its potential as a therapeutic target for cancer treatment. We discuss the underlying mechanisms of c-Myc dysregulation, its impact on cellular pathways, and the challenges associated with developing effective pharmacological inhibitors. Furthermore, we summarize emerging strategies and technologies that have shown promise in tackling the complex network of c-Myc interactions, aiming to develop conceptually innovative and efficient anticancer therapies that can be applied to a wide range of tumors.
      PubDate: 2024-02-23
       
  • The anisotropic string cosmological model of Bianchi type I in general
           relativity

    • Free pre-print version: Loading...

      Abstract: Abstract We study the maximum symmetric, Anisotropic, inhomogeneity string theory of Bianchi type I in general relativity. We assume Einstein string space metric depends on two variable expansion, Our four directions and these variable functions are related to the condition, \(a[x,t] = [b(x,t)]^{n}\) where \(c[x,t] = h(x) \times k(t)\) & \(b[x,t] = f(x) \times g(t)\) metric potential and shear tension are directly proportional to scalar expansion, Our analysis carefully incorporates a condition that links these variable functions to find the deterministic solution. The higher and varied dimensions models’ geometrical and physical characteristics are also looked at.
      PubDate: 2024-02-22
       
  • Design of efficient classification model for Paramecium and
           Hydra microorganisms

    • Free pre-print version: Loading...

      Abstract: Abstract This paper presents a novel approach to microorganism image classification, concentrating on Paramecium and Hydra bacteria. Due to their intricate features and minute variations, these microorganisms—which are crucial to biological research and environmental studies—present particular difficulties in picture classification. There is a noticeable class imbalance in the dataset in this study, which includes 152 photos of Paramecium and 76 images of Hydra. Generative Adversarial Networks (GANs) are employed for data augmentation, generating synthetic examples to rebalance the dataset. This method increases the quantity of the dataset and adds a variety of examples, which strengthens the model’s capacity for generalization. Transfer learning is explored using Inceptionv3 and ResNet50, along with machine learning techniques such as Adaboost and XGBoost. Convolutional Neural Networks extract discriminative features, and GANs enhance classification performance. The proposed approach achieves an impressive accuracy and F1-score of 96.49% and 96.77%, respectively, in accurately distinguishing between hydra and paramecium bacteria. This research not only demonstrates a high degree of accuracy in classifying microorganism images but also contributes significantly to the field by proposing a robust solution to the challenge of class imbalance.
      PubDate: 2024-02-20
       
  • Harnessing nanotechnology for advancements in fisheries and aquaculture: a
           comprehensive review

    • Free pre-print version: Loading...

      Abstract: Abstract With the technological advances, aquaculture and fisheries industries are benefiting a lot. Nanotechnology is among the most emerging and vital driving tools for the thriving aquaculture and fisheries sectors. In recent years, the antimicrobial resistance in pathogenic microbes due to uncontrolled use of antimicrobials and the environmental impact with aquaculture intensification are the major issues of concern. In this context, nanotechnology has profound advantages in enhancing the aquaculture and fisheries industries and ensuring the surrounding environment’s quality. Nanoparticles aid in the well-being (improves growth, health, reproduction, and so on) of the culturing species. Recently, nanocarriers are well-popularized because of their immense potential in delivering encapsulated substances to aquatic organisms. Nanotechnology also promises to preserve the quality and freshness of aqua foods by preventing the growth of harmful microorganisms and increasing the product’s shelf life. Nano-sensors were in use to detect the presence of contaminants in fish samples and water. Moreover, nano-tracing devices helps in tracking a product and also to monitor the aquatic animals. Additionally, nanoparticles benefit aquatic systems by eliminating environmental pollutants (nano-remediation). Conversely, due to the pollution and the overuse of nanoparticles may adversely affect the freshwater and marine water ecosystems. Therefore, this review critically analyses the advances of nano-technological applications in aquaculture and fisheries and outlines their negative impacts on aquatic organisms. More importantly, to determine the precise relevance of nanoparticles, further research must be conducted on the implications of various nanoparticles on aquatic life in the lab and at large-scale applications.
      PubDate: 2024-02-19
       
  • Recent Indian studies in Himalayan cryosphere

    • Free pre-print version: Loading...

      Abstract: Abstract Cryosphere all over the globe is thawing, be it the Arctic, Antarctic, Greenland or Himalaya. Studies have predicted that loss in the glacier mass over the Upper Indus Basin in Kashmir Himalaya would amount to 47 to 67% (Romshoo in 7th conference of Science and Geopolitics of Arctic and Antarctic, 2023). A similar trend prevails in the Bhaga basin of the Upper Chenab, where glaciers in size classes < 0.5 km2 and 0.5–1 km2 show a higher relative loss of 25% (0.5% year−1) and 13% (0.3% year−1) respectively (Das et al. in Quat Sci Rev 316:108258; J Mt Sci 20:299–324, 2023). The loss in Eastern Himalaya (Sikkim) has been reported to range from 20 to 30% (Debnath in 7th conference of Science and Geopolitics of Arctic and Antarctic, 2023). On the basis of the compiled records of snout fluctuations of 285 glaciers and two regional means spanning 17 decades from the 1850s, it has been deduced that most of the Himalayan glaciers are retreating, and the retreat rates have accelerated in the past few decades, but the observed tendencies are not regionally uniform (Kulkarni et al. in Water Security 14(6557):100101; J Indian Soc Remote Sensing 49(8):1951–1963, 2021). The excessive ice mass loss has resulted in the formation and/or expansion of glacial melt water lakes posing a threat of Glacial Lake Outburst Flow (GLOF). The results of the studies on the response of climatic variability over the state of cryosphere, the role of debris on the melting of glaciers, changes in the winter precipitation pattern and consequent impact on the hydrological cycle, water availability and state of permafrost over Himalaya have also been a focus of studies, including developing models (Banerjee et al. in Geophys Res Lett 49:096989, 2020), in contemporary publications, enriching the data on the fundamental aspects of glacial processes that are of great societal relevance.
      PubDate: 2024-02-19
       
  • Catalytic efficacy of Schiff base-palladium complexes in important C–C
           cross coupling reactions: a brief overview

    • Free pre-print version: Loading...

      Abstract: Abstract Cross coupling reactions constitute a useful and efficient approach utilized primarily in the synthesis of carbon–carbon bonds in modern organic synthesis. Among this class of reactions, Suzuki–Miyaura reaction, Sonogashira, and Mizoroki–Heck reactions are mostly utilized. Palladium-facilitated cross-coupling reactions have received a lot of interest from researchers recently. In order to fine-tune the catalytic activity of metals, different ligands were used to complex with them. Among the great variety of ligands, Schiff base (SB) ligands constitute a major part. The transition metal complexes of these ligands have interesting chemistry and are widely utilized for industrial purposes. They also exhibit a broad range of biological activities. Herein, this review is mainly aimed to discuss the synthesis of different SB ligands, along with their palladium complexes and their application as both homogeneous as well as heterogeneous catalysts in various C–C cross coupling reactions.
      PubDate: 2024-02-16
       
  • Bianchi type $${VI}_{0}$$ cosmological model for expanding universe with
           flat potential in general relativity

    • Free pre-print version: Loading...

      Abstract: Abstract The focus of our study is on the Bianchi-type \({VI}_{0}\) inflationary universe and how it behaves when a massless scalar field with a flat potential is present. Our goal is to identify an inflationary solution, which we achieved by identifying a flat region where the potential V remains constant. We have thoroughly examined the inflationary scenario of this model.
      PubDate: 2024-02-15
       
  • Z polarization at an $$e^+e^-$$ collider and properties of decay-lepton
           angular asymmetries

    • Free pre-print version: Loading...

      Abstract: Abstract Z production at an \(e^+e^-\) collider, associated with production of other particles, can be an accurate source of information of details of electroweak interactions, including possible interactions beyond the standard model. This is because of the inherent low background at an \(e^+e^-\) collider as well as the fact that the Z state can be fully reconstructed. If the Z decays into a lepton pair, such a final state in spite of the lower branching ratio, can be studied with great accuracy. One such process is \(e^+e^- \rightarrow HZ\) , where is H is the Higgs boson, the most important process for Higgs production at an \(e^+e^-\) collider. Apart from the angular distribution, the polarization of the Z, fully characterized by its spin density matrix in the production process, can give detailed information about the production process. The vector and tensor polarization parameters of the Z density matrix can be related to angular asymmetries of the decay leptons in the Z rest frame. Thus, an experimental study of these lepton asymmetries can give information on the underlying interactions in Z production. We discuss from a general physical point of view the properties of the density matrix as well as lepton angular asymmetries. While most considerations will be applicable to processes of Z production associated with any other particle or particles, for some discussions, we specialize to a HZ final state. While many of the results can be found in earlier literature, especially for the process \(e^+e^- \rightarrow HZ\) , we give details of the reasoning, which are not always found. We discuss the properties of the spin density matrix under C, P and T transformations, and combinations thereof, as also the predictions of these for the corresponding leptonic asymmetries. The specific transformations P, CP, T and CPT are of special importance and we discuss the consequences of these symmetries or their absence for the leptonic asymmetries. A specific issue which has been given attention to is the role of beam polarization, and how one can infer on general grounds which asymmetries get enhanced by the use of beam polarization. Similarly, we also discuss which asymmetries would be sensitive to the measurement of tau polarization in Z decay in to \(\tau ^+\tau ^-\) .
      PubDate: 2024-02-15
       
  • Recent Indian contribution in the realms of polar studies

    • Free pre-print version: Loading...

      Abstract: Abstract Indian work in Antarctica has covered mainly atmosphere, biology and geoscience domains of sciences in central Dronning Maud land and Princess Elizabeth land (PEL) of eastern Antarctica. While observations of synoptic weather, geophysical and glaciological parameters have continued in both the sectors, thematic earth science studies focusing on crustal evolution and Gondwana fit have gained attention in the PEL where Neoproterozoic as well as Pan-African tectonic and metamorphic events that have established granulite grade metamorphism with peak conditions of ∼ 900 °C and 11 kbar followed by two stages of decompression. In the mafic granulites. The earth’s declining magnetic field and space weather studies have dominated the geophysical investigations. Ice sheet dynamics and deglaciation history have for the first time indicated that the Antarctic ice shelf too are losing ice and shrinking. The recent results of the Southern Ocean expeditions have revealed that the AABW have become fresher (∼ 0.002), warmer (0.04 °C), and sub ducted by ∼ 50–20 m toward the end of the past decade in the Indian Sector of Southern Ocean. Studies in the Arctic have mostly been conducted in the atmosphere and biological fields.
      PubDate: 2024-02-15
       
  • Comparing wavelet-based artificial neural network, multiple linear
           regression, and ARIMA models for detecting genuine radon anomalies
           associated with seismic events

    • Free pre-print version: Loading...

      Abstract: Abstract This study presents a comprehensive analysis of continuous subsurface soil radon with the environmental parameters and their correlation with seismic events in the Indo-Myanmar subduction zone. Discrete wavelet transformation was applied to the standardized values of soil radon and environmental parameters for denoising, and the resulting data were used as inputs for multiple linear regressions (MLR), multilayer perceptron (MLP) and autoregressive integrated moving average (ARIMA) models. The predicted radon concentrations by the models were then compared using a hypothesis test to select the best models for correlation with seismic events. The correlation coefficient between the measured radon and predicted radon was found to be highest in case of ARIMA model. Furthermore, t-test and the corresponding p value were used to check the significance of the model. Finally, the residual radon was calculated for ARIMA model and the anomalous variation in residual radon was use to correlate with seismic events that occurred around the study area. A significant variation in residual radon was observed few days before a shallow epicenter seismic event of M5.4. The precursor time between the earthquake and observed radon anomaly was calculated to be 24 days. The wavelet based ARIMA model applied was useful to reduce the effect of environmental parameters on soil radon and find a true radon anomaly attributed to seismic event.
      PubDate: 2024-02-15
       
  • Dynamics of free surface shock waves for a saturated superfluid helium (
           $$^{4}He$$ ) film on a nanopore substrate

    • Free pre-print version: Loading...

      Abstract: Abstract We have explored a saturated ( \(\sim 10^{-6}\) cm) superfluid \(^{4}He\) film adsorbed on a nano pore substrate material. We have considered a weak and localized superfluid flow into the porous substrate and investigated its effect on the shock wave dynamics at the surface. The free surface wave dynamics of the superfluid film follows forced Korteweg de Vries (KdV) equation. For a specific choice of nontrivial boundary condition at \(z=0\) , the nonlinear evolution equation turns into Korteweg de Vries-Burger equation having a shock wave solution. Such kind of analytical treatment using shallow water superfluid hydrodynamics is new in this field and may generate further research.
      PubDate: 2024-02-14
       
  • Chromo-turbulent fields and lepton pair production from collisional hot
           QCD medium

    • Free pre-print version: Loading...

      Abstract: Abstract We investigate the effects of collisional processes in the hot QCD medium to thermal dilepton production from \(q\bar{q}\) annihilation in relativistic heavy-ion collisions. The non-equilibrium corrections to the momentum distribution function have been estimated within the framework of ensemble-averaged diffusive Vlasov–Boltzmann equation, encoding the effects of collisional processes and turbulent chromo-fields in the medium. The analysis has been done by employing a quasiparticle model for the thermal QCD medium which incorporates the realistic equation of state. We have shown that the collisional corrections have a significant impact on the thermal dilepton spectra.
      PubDate: 2024-02-08
       
  • Morphological and physiological responses of summer savory (Satureja
           hortensis L.) to azotobacter, mycorrhiza, and salicylic acid under drought
           stress conditions in Rey Region

    • Free pre-print version: Loading...

      Abstract: Abstract This study aimed to investigate the effects of biological fertilizers and salicylic acid under water deficit stress conditions on the growth and yield of Satureja hortensis L. during two consecutive years (2018–2019 and 2019–2020). This experiment was performed as a split factorial plot arranged in a randomized block design with three replications. The main factor was irrigation at three levels (full irrigation, mild, and severe water deficit stress). The sub-factors included biological nitrogen fertilizer (non-inoculated, inoculated with Azotobacter, inoculated with Mycorrhiza, and inoculated with Azotobacter + Mycorrhiza) and salicylic acid (no spray and spray with a concentration of 0.6 mM). Although, water deficit stress decreased the total dry weight but, inoculated plants had higher total dry weight rather than control under water deficit conditions. The results showed that the inoculation of Azotobacter and Mycorrhiza decreased the content of total chlorophyll and carotenoids and increased leaf area and thymol content. Moreover, carvacrol content and essential oil harvest index had the highest value under a full irrigation regime, and inoculation treatment decreased these values. In contrast, mild water deficit conditions increased ɣ-Terpine and phenol content, but severe water deficit stress decreased these traits. The highest total chlorophyll content (3.46 mg g FW−1) carotenoids content (0.22 mg g FW−1), leaf area (649.88 cm), total dry weight (2540.9 kg ha−1), essential oil content (1.7%), essential oil yield (43.1 kg ha−1), thymol (3.58%), carvacrol content (8.47%) and essential oil harvest index (1.7%) were achieved in full irrigation and salicylic application. Based on our results, Azotobacter and Mycorrhiza can improve the morphological traits of summer savory plants, but in the case of photosynthesis pigments, they were not helpful. On the other hand, mild water deficit stress increased the thymol, carvacrol, ɣ-Terpine and phenol content, which means that summer savory plants by improving secondary metabolites, could ameliorate the water deficit damage. The current study proved beneficial in improving the physiological and morphological traits of summer savory, suggesting that the application of Azotobacter + Mycorrhiza or salicylic acid application can be a suitable solution to increase plant tolerance under water deficit conditions.
      PubDate: 2024-02-03
       
  • Study of prostate specific antibody-antigen binding on gold functionalized
           MoS2 nanospheres

    • Free pre-print version: Loading...

      Abstract: Abstract A vital method for diagnosing diseases, particularly in the detection of cancer, is antibody-antigen binding, prostate cancer is the second most common cancer among men. Prostate cancer is typically diagnosed through prostate specific antigen testing. Here, we synthesized a nanoplatform with gold functionalized molybdenum disulphide (MoS2) nanospheres, which can be useful for modification of the working electrode of electrochemical sensor for prostate cancer detection. It is based on the identification of prostate specific antigen biomarkers. For functionalization of MoS2 nanospheres with gold (Au) particles, PVP was employed to ensure that the gold particles were distributed evenly. Prostate-specific monoclonal antibodies were then bound to the surface. Through UV–Vis spectroscopy, its binding reaction and the digesting time impact on antigen- antibody binding were investigated. UV–Vis spectroscopy, FTIR, and FESEM were used to examine the surface morphologies of MoS2 and Au/MoS2. The formation of MoS2 nanospheres with leaves-like structures of 10-12 nm in width was confirmed by FESEM images An additional peak arises in the UV–Vis spectroscopy after the addition of antigen–antibody on Au/MoS2, confirming the binding and formation of Ag/Ab/AU/MoS2, i.e., the antigen–antibody-Au/MoS2 without any use of linker component.
      PubDate: 2024-02-03
       
  • On perfect powers that are difference of two Perrin numbers or two Padovan
           numbers

    • Free pre-print version: Loading...

      Abstract: Abstract Let \((P_{k})_{k\ge 0}\) be the sequence of Padovan numbers and \((R_{k})_{k\ge 0}\) be the sequence of Perrin numbers. In this paper, we solve the equations \(R_{n}-R_{m}=x^{a},\) \(P_{n}-P_{m}=x^{a}\) , and \(R_{n}=x^{a}\) where n, m, a, x are nonnegative integers, \(1\le a\) and \(2\le x\le 10\) .
      PubDate: 2024-01-31
       
  • Unlocking nature’s clean-up crew: marine Bacillus species as agents of
           heavy metal detoxification

    • Free pre-print version: Loading...

      Abstract: Abstract Heavy metal pollution is a formidable global environmental concern, with far-reaching consequences for ecosystems and grave health risks to humans and wildlife. This study investigated the potential of extremophilic Bacillus Sp: strains, namely Bacillus halotolerans, as bioresources for addressing heavy metal contamination through bioremediation. These Bacillus species exhibited remarkable resistance and biodegradation capabilities toward toxic heavy metals through rigorous lab-scale fermentation experiments. Within 24–48 h, Bacillus strains demonstrated the ability to reduce concentrations of Hg2+, Pb2+, and Cr6+ by 100–1700 mg/L, transforming them into less toxic forms was analysed by atomic absorption spectroscopy (AAS). This transformative process may be attributed to the secretion of extracellular enzymes responsible for the bio-reduction of heavy metals. Furthermore, our research revealed that the identified Bacillus isolate exhibited high levels of tolerance to multiple heavy metals, including mercury (100–700 ppb), lead (100–1500 ppm), and chromium (100–1500 ppm). The utilization of electron micrographs confirmed the adsorption of metals, leading to the intracellular accumulation of Hg2+, Pb2+, and Cr6+ with bioaccumulated heavy metal ions depositing around the cell envelope of Bacillus species. As we know, it is crucial to note the need for effective and sustainable methods for the bioremediation of heavy metals. Marine Bacillus sp.‘s unique characteristics and capabilities have made them promising bioresources for bioremediation in recent years. These findings showcase the resilience of marine Bacillus sp. in surviving heavy metal toxicity present in soil and wastewater, making them a promising bioresource for the remediation of heavy metal-contaminated soil and wastewater.
      PubDate: 2024-01-26
       
  • Numerical investigation of exit pressure on flow structure in steam
           ejector by considering condensation and evaporation process

    • Free pre-print version: Loading...

      Abstract: Abstract Nowadays, it is very important to use renewable refrigeration cycles due to the high consumption of electrical energy by existing refrigeration cycles. The ejector refrigeration cycle (ERC) is one of these cycles in which the ejector is the most important part. This study has investigated the effect of ejector outlet pressure on flow structure. Several outlet pressures are considered, and their effect on pressure, velocity, temperature, liquid mass fraction (LMF), and Entrainment ratio (ER) are investigated. First, the flow simulation in the ejector is validated. Then, the impact of output pressure is evaluated. According to the results, the used model can well estimate the flow behavior in the ejector. The impact of the outlet pressure in the diffuser part and the constant area section leads to the difference in the distribution of temperature, velocity, pressure, and LMF. The LMF becomes zero at x = 0.41 m, x = 0.36 m, x = 0.32 m, and x = 0.27 m for pressures of 3600 Pa, 4000 Pa, 4200 Pa, and 4500 Pa, respectively, and the flow becomes single-phase, and a temperature increase is seen in the flow. Outlet pressure has a substantial impact on ejector performance as well as ER, and as outlet pressure from 3600 Pa, the ER decreases.
      PubDate: 2024-01-11
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.220.62.183
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-
JournalTOCs
 
 

 A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z  

  Subjects -> SCIENCES: COMPREHENSIVE WORKS (Total: 374 journals)
The end of the list has been reached or no journals were found for your choice.
Similar Journals
Similar Journals
HOME > Browse the 73 Subjects covered by JournalTOCs  
SubjectTotal Journals
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 44.220.62.183
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-