Pankaj Dumka

Solar-powered fountain enhances evaporation, boosting Modified Solar Still efficiency by 35% and doubling distillate yield for sustainable water purification.

Wind tunnel simulations quantify atmospheric turbulence, extracting velocity profiles, intensities, spectra, and length scales through detailed Python-based analysis methods accuracy.

This article presents an efficient approach for modeling and solving the planar trusses using the “anastruct” module which is a specialized Python library for analysing the structures. By using this existing tool, the procedure automates the tiresome manual calculations, thereby enabling precise determination of the axial forces within the truss members under various loading and boundary conditions. To evaluate the effectiveness of the module, five typical truss problems of increasing complexity were solved, demonstrating its applicability to both academic learning and practical engineering tasks. It has been observed that in all the cases the “anastruct” has given result which are precisely aggreging with the existing literature. A pilot study on 30 structural analysis students revealed the “anastruct” tool's visualization and calculation benefits, but highlighted a need for more stiffness matrix documentation. This study highlights the adaptability of Python for the structural analysis and provides a foundation for incorporating advanced functionalities like nonlinear behavior and dynamic analysis in future studies thus laying the groundwork for further advancements in structural modeling and analysis automation. The pedagogical importance of this tool has also been discussed which will offer an actionable insight for the educators and the people engaged in the development of the curriculum.

The Shoelace Method is a classic mathematical formula for the determination of the area of polygons. This method is based on the vertex coordinates of a polygon and has significant applications in science and engineering. This article explores the method's extension to calculate the centroids and moments of inertia of plane shapes, which is essential for structural and mechanical analysis. By executing these calculations in Python programming, the study shows the method's practicality and flexibility for modern engineering tasks. The article introduces a Python-based structure using libraries like NumPy, Shapely, and Matplotlib for enabling efficient computational modelling and visualization. Through example problems, the versatility of the Shoelace Method in solving real-world engineering shapes is showcased.

Writing a high-quality research article requires a structured and systematic approach to ensure the clarity, coherence, and scholarly impact. This paper provides a comprehensive guide for researchers aiming to publish in academic journals. It outlines the essential components such as topic selection, literature review, methodology formulation, results presentation, discussion, and conclusion writing. The methodology section emphasizes the significance of transparency and reproducibility by offering a sample case study to illustrate each step. The paper draws from established academic writing principles and integrates practical strategies for enhancing manuscript quality. Through a step-by-step framework, the study helps the beginner and experienced researchers to improve their writing efficiency and publication success. The article also highlights the common pitfalls and provides the tips for formatting, referencing, and submission processes. Overall, this structured guide aims to bridge the gap between research execution and effective communication, supporting authors in producing impactful scholarly articles that contribute meaningfully to their respective fields.

The paper aims to explore the application of CyclePad in modelling air standard thermodynamic cycles. CyclePad is a powerful software tool designed for the simulation and analysis of various thermodynamic cycles. This paper provides an in-depth investigation into its capabilities and effectiveness in modelling air standard cycles, including the analysis of performance parameters such as efficiency, work output, and heat transfer. To explore the potential of CyclePad, Carnot, Otto, Stirling, Ericsson, Diesel, and Dual cycles were explored first thermodynamically and then modelled using the software. These cycles were tested against practical numerical problems, and it has been observed that the results obtained from the CyclePad are in agreement with the existing literature. Moreover, to understand the impact of input parameters on the performance of cycle output and efficiency sensitivity analysis was performed and reported. The results obtained are very encouraging and stem from the fact the CyclePad can be used effectively to understand and analysis any thermodynamic cycle (both open and close) having any level of complexity.