Ashutosh Mishra

Work place: Department of Computer Science and Engineering, Jaypee University of Engineering and Technology, Raghogarh-473226, Guna, Madhya Pradesh, India

E-mail: am3718440@gmail.com

Website:

Research Interests:

Biography

Ashutosh Mishra is a student at Jaypee University of Engineering and Technology, Guna, pursuing B.Tech in “Computer Science and Engineering”. With a passion for logical coding, development, and real-time problem-based solutions, he is deeply interested in leveraging technology to address practical challenges. His fascination with robotics has led him to innovate and design solutions, resulting in three patented robot designs: “A weed detector and remover robot”, “Monitoring robot”, and “Sewa bot”. Beyond robotics, he is currently exploring thermodynamic cycles, eager to broaden his knowledge and contribute to cutting-edge advancements in engineering.

Author Articles
Modelling of Air Standard Thermodynamic Cycles Using CyclePad

By Pankaj Dumka Krishna Gajula Ashutosh Mishra Dhananjay R. Mishra

DOI: https://doi.org/10.5815/ijem.2024.04.05, Pub. Date: 8 Aug. 2024

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.

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