Sachin Sharma

Representative photo SHAMLI: A 20-year-old woman, Bhuriya Singh , was arrested for allegedly killing her 50-year-old father, Satyawan Singh, a month ago as she was against his attempts to sell their ancestral three-bigha land.

Vadodara: While most need a caterer or a cook for large social gatherings, a man arrested by Dahod police was found to be in the business of

Vadodara: To provide incentives to cricketers playing the longer version of the game, the Baroda Cricket Association (BCA) had decided it will pay

Shamli: In the wake of the Air Quality Index (AQI) in Delhi and National Capital Region (NCR) turning hazardous, schools in eight districts of western UP have been ordered shut until further notice.

In a significant ruling, a consumer court has ordered an insurance company to pay Rs 6 lakh to a man following the death of his son in a train collision, despite the company's claim that it was a suicide. This case highlights the complexities of insurance claims tied to accidents and raises important questions about the accountability of insurers.

Shamli: A 13-year-old disabled girl died in a fire that broke out in her home while her parents were out on a morning walk in the Bardtala Yadgar area of Saharanpur, Uttar Pradesh on Wednesday.

Slug: Inter-state crime Vadodara: The southern states in the country are the largest consumers of gold jewellery.

The efficiency of smooth surface solar air heaters (SAHs) is often limited by viscous boundary layer formation and aerodynamic constraints, resulting in suboptimal thermal performance. This study introduces a novel enhancement technique using centerline perforated sine wave baffles as turbulators on the SAH surface to improve heat transfer and reduce flow resistance. The current work deals with experimental analysis of solar air heater performance using centerline perforated sine wave baffles placed as turbulators over the surface of solar air heater. Experimental analyses are conducted by varying Reynolds number, relative baffle pitch, relative baffle height, angle of attack, and relative perforation diameter, ranging from 3000 to 18,000, 8 to 14, 0.4 to 0.55, 10° to 45°, and 0.1 to 0.2 respectively. Collected experimental data are utilized to develop predictive machine learning models for Nusselt number, friction factor, and thermo-hydraulic analysis. Several models including Linear Regression, Random Forest, K-Nearest Neighbors, Adaptive Boosting, and Extreme Gradient Boosting are employed, with their performance evaluated using Mean Absolute Error, Mean Squared Error, Root Mean Squared Error, and R