http://nopr.niscpr.res.in/handle/123456789/67734 2026-10-09T22:14:05Z 2026-10-09T22:14:05Z Rana, Aditya Singh, Jasveer Rab, Shanay Yadav, Sanjay Dilawar Sharma, Nita http://nopr.niscpr.res.in/handle/123456789/67743 2026-04-28T05:37:06Z 2026-01-01T00:00:00Z

Title: Design and Simulation Study of Automatic Dead Weight Rotator for Dead Weight Testers Authors: Rana, Aditya; Singh, Jasveer; Rab, Shanay; Yadav, Sanjay; Dilawar Sharma, Nita Abstract: It is well known that the Dead Weight Testers (DWTs) or Pressure Balances (PBs) are among the finest instruments for accurate high-pressure measurement, with low uncertainties in the pressure range of a few KPa to a few GPa. During the measurement process, either the piston or the cylinder of DWTs is made to rotate either manually or through a motor to minimise the frictional forces and to distribute the lubricating fluid in the crevice of the piston and cylinder (P-C) assembly. The majority of industrial DWTs are not equipped with a motor, and hence, the weights on the piston are rotated manually, which possibly contributes to the additional tangential forces. Also, by using manual rotation, the constant rpm of the piston is very difficult to maintain. To address these issues, the authors have proposed a novel design of a mechanical instrument designated as a dead weight rotator (DWR), which is capable of rotating the weights at constant rpm and can be accommodated in any type of DWT. The design is targeted for ~30 rpm rotation of the piston and for a dead weight of up to 100kg. In addition, simulation studies based on finite element analysis are carried out on the developed design to check the effects of the operation of DWR on the dead weights. The simulation results, including stress, strain, deformation analysis, and various design aspects of the DWR, along with their limitations and future scope, are discussed in detail. Ongoing work focuses on the fabrication and experimental design, which will be reported in due course. Page(s): 5-14

2026-01-01T00:00:00Z Sharma, Rishu Taparia, Anuj Kumari, Sunita Saini, Anu P Supale, Jayant http://nopr.niscpr.res.in/handle/123456789/67742 2026-04-28T05:34:06Z 2026-01-01T00:00:00Z

Title: Modelling the Enablers of IT Adoption in Electric Vehicles based Small and Medium Scale Enterprises: An ISM Approach Authors: Sharma, Rishu; Taparia, Anuj; Kumari, Sunita; Saini, Anu; P Supale, Jayant Abstract: The increasing adoption of Electric Vehicles (EVs) has the potential to significantly mitigate air pollution and carbon dioxide emissions while offering advantages such as lower operating costs, reduced noise levels, and the absence of tailpipe emissions compared to internal combustion engine vehicles. Consequently, EV technology is emerging as a key pathway toward sustainable development in the automotive sector. These benefits have stimulated market competitiveness and encouraged substantial investments by developing nations, particularly in developing economies like India. The manufacturing of electric vehicles involves the troika of electronics, mechanical, and IT-based components/tools. In this scenario, it becomes essential to have rationalised auto ancillary Small and Medium Scale enterprises (SMEs) for electric vehicles. It has been observed that ICT tools, in every kind of SME, are playing a vital role in the holistic coordination of EV-based SMEs. To gain the advantages of implementing IT (information technology) tools, researchers and practitioners need to understand and model the relevant factors responsible for their implementation. The work has identified the Critical Success Factors (CSFs) affecting EV-based SMEs and analysed their interrelationships using Interpretive Structural Modelling (ISM) and MICMAC analysis. The findings highlight the most influential factors of IT adoption in EV SMEs by studying the interrelationship between the factors. Lastly, the study attempts to suggest some implications & and prospects that the market leaders and stakeholders can follow to capture the advantages of these booming sectors for economic growth and sustainability. Page(s): 15-25

2026-01-01T00:00:00Z S Sonone, Vidya A Pawar, Dilip P Kad, Vikram A Unde, Prakash http://nopr.niscpr.res.in/handle/123456789/67741 2026-04-28T04:49:30Z 2026-01-01T00:00:00Z

Title: Effect of Spray Drying on Recovery and Physicochemical Properties of Acid Lime Juice Powder Authors: S Sonone, Vidya; A Pawar, Dilip; P Kad, Vikram; A Unde, Prakash Abstract: Acid lime is known for its tart flavor and is commonly used for culinary uses. Market glut during its peak production and high demand in its off season has been a key issue in the post-harvest handling and management of acid lime. Processing this fruit into a powder form for its several food uses can be solution to avoid distress sale by farmer, making a ready to use product available to the consumers. Spray drying has been a novel technique for powder production from liquid foods without affecting its nutritional properties. Experiments were carried out for production of spray dried powder from acid lime juice using Maltodextrin as additive. The parameters viz., temperature of inlet air (140–160°C), concentration of maltodextrin (14–18%) and feeding rate (62.5–112.5 mL/h) were optimized with Response Surface Method. The optimized levels of temperature of inlet air, concentration of maltodextrin concentration and feeding rate were, 147.63°C, 16.27% and 90.94 mL/h, respectively for desirable recovery and quality of powder. The powder prepared at optimized conditions resulted maximum recovery (18.77%), water solubility index (94.788%), vitamin C (365.937 mg/100g) and total phenols content (183.695 mg/100g). Acid lime powder produced at optimized conditions showed mixture of heterogeneous particles (150 to 6000 nm). The scanning electron microscopy analysis presented variable shape particles with smooth surface as result of encapsulation. Page(s): 26-35

2026-01-01T00:00:00Z Thirunavukarasu, Ramkumar Kotei, Evans Thillainayagam,Venkatesan http://nopr.niscpr.res.in/handle/123456789/67740 2026-05-22T06:31:22Z 2026-01-01T00:00:00Z

Title: Explainability of Tuberculosis Diagnosis based on Chest X-Ray Images with Vision Transformer Authors: Thirunavukarasu, Ramkumar; Kotei, Evans; Thillainayagam,Venkatesan Abstract: Chest X-ray radiography is a reasonably inexpensive and widely available diagnostic technology that can aid in identifying different illnesses like tuberculosis (TB), pneumonia, COVID-19 and many more. The demand for skilled personnel to evaluate X-ray radiographs is a challenge in many health facilities across the globe, particularly in underdeveloped regions. Machine Learning (ML) algorithms have enabled the automated diagnosis of TB from X-ray modalities. Aside from deep convolutional neural networks (DCNN) for vision applications, the Vision Transformer (ViT) network has also produced outstanding results in image classification. Motivated by the robustness of the transformer network on image processing tasks, the study proposes a transformer-based framework for early screening of TB disease. Three different vision transformer types ViT-Base16 (ViT-B16), ViT-Base32 (ViT-B32), and ViT-Large32(ViT-L32) were tested in the experiment to see how well they performed in identifying tuberculosis. When the transformer models' outcomes were contrasted with those of other CNNs, the VIT-B32 model performed admirably in the diagnostic procedure. The ViT-B32 model's attained accuracy, sensitivity, specificity, precision, F-1 score, and AUC scores of the ViT-B32 model were 96.96%, 96.89%, 97.01%, 96.72%, 96.80% and 0.97, respectively, on TB classification. The ViT-b32 model demonstrated superiority and generalizability. Because of its low cost and ease of use, the ViT-b32 model may provide an accurate diagnostic system to all TB patients for early screening. Page(s): 36-43

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