Applied Science and Engineering Journal for Advanced Research

Importance of Dependency on Local Area for Backbone Regular Courses - A Case Study

Jashandeep Singh — 2025-05-29

This paper shows the importance of dependency on local area for admissions. The paper is a case study on one of the premium institute of Punjab. Different technical and non technical courses available in the Institute are divided into 04 categories A, B, C & D depends on the present demand. In order to achieve desirable admission target in local area, the Institute teams have to covered 70 km distance by radius from the location of the Institute. Further, distance of the Institute from various feeder areas is calculated and admission target given to teams not only to cover courses in category C & D but also in Category A & B. This paper is not having more reference because it is based on the true data collected on various parameters.

Optimizing Wear Resistance in Composite Materials: Surface Response Methodology

Chandrashekhar Ingle — 2025-05-29

In This research aims to use Response Surface Methodology (RSM) in determining the settings that give the highest wear resistance of the developed (Cu-W) composites by varying reinforcement percentage at 20-40%, temperature at 160-200°C and mechanical load at 80-100N. A regression analysis was carried out to determine the parameters that affect wear rate and indicated that temperature and Cu-W percentage are significant factors affecting the wear rate with p total values 0.017 is significant. Optimization result suggested that at 30% Cu, 200°C and 80N load has the highest desirability of 1.00 with the best wear rate is 3.498 mm³/Nm. Contour and surface plots were used to further elaborate on synergy between the factors. The results of this study will be valuable for creating the adequate Cu-W composites composition that has decent durability in the applications that require the use of electric contacts and tools for high temperatures, in which wear is of great importance. This, therefore, shows how RSM is effective in optimizing the material with minimum experimental runs.

Improving Wear Resistance of Epoxy Composites via Ceramic Nanoparticle Reinforcements by using Taguchi Technique

Imran M Quraishi — 2025-05-29

In this study, the weight percentages of various composites are added to epoxy resin coating material with a fixed amount of ceramic particles in order to improve the coating's mechanical and tribological qualities. Prepared were test specimens of pure epoxy resins with varying reinforcement weight percentages (4%, 6%, and 8%). The configuration of a tribometer is used to examine the material's wear properties by conducting various tests on a polymer matrix composite. The results show that adding TiO2 (titanium dioxide) and creamic Al2O3 (aluminum oxide) reinforcement material significantly improves the mechanical and tribological characteristics of the newly developed epoxy paint composite. On a tribometer with variable load and temperature, the wear resistance of a specimen was examined. According to the data, both reinforcements in epoxy resins result in a lower wear rate than pure epoxy. An analysis of variance, also known as an ANOVA, was carried out in order to ascertain the relevance of the operating parameters to the performance qualities that were being taken into account. Further experimentation has been conducted to validate the performance of optimal parameters. Finally, the confirmation test to compare the projected value of the wear rate to the experimental value has been conducted.

Automating Scalable and Secure Enterprise Applications with Full-Stack Java: CI/CD Integration with Canary Testing

Ishwar Bansal — 2025-05-29

Focusing on the integration of Continuous Integration and Continuous Deployment (CI/CD) pipelines with canary testing techniques, this paper investigated the automation of scalable and secure enterprise systems created with full-stack Java. The study looked at changes in deployment frequency, system performance, dependability, and security posture by means of a thorough DevOps architecture. Apart from a notable drop in security vulnerabilities, the results showed notable improvements in deployment efficiency, less downtime, and quicker recovery times. By allowing incremental rollouts and early problem detection, canary testing showed efficacy in risk reduction, hence guaranteeing better system stability. The combination of security automation and compliance and vulnerability monitoring was made even stronger by it. The research confirms that for modern enterprise application delivery, combining CI/CD automation with canary testing is a strong strategy since it balances agility with operational resilience.