Chandigarh University

About: Chandigarh University is a education organization based out in Mohali, India. It is known for research contribution in the topics: Materials science & Computer science. The organization has 1358 authors who have published 2104 publications receiving 10050 citations.

Characterization of Friction Stir-Welded Polylactic Acid/Aluminum Composite Primed through Fused Filament Fabrication

Abstract: There are many possible reasons for low weld strength in FSW of thermoplastic; low thermal conductivity, high energy losses in friction stir welding (FSW), material spill-out, involvement of high mechanical forces, etc. To counter strike the above-mentioned issues which weaken the joint's strengths, two strategies have been approached. The first approach is based upon the preparation of aluminum (Al) layers-reinforced Polylactic acid (PLA)/Al composite material which must have high thermal conductivity and crystallinity for improved heat generation in FSW. In the second approach, the FSW has been performed using a semi-consumable pin of similar materials which can compensate for the materials loss and void formation during FSW. Alternating layer composite of (PLA)/Al was manufactured by modified fused filament fabrication (FFF) 3D printing process then welded by FSW process in next steps. In this study, the FSW process was performed by using a semi-consumable pin profile of PLA with varying tool rotation speed (TRS) (800, 1100, and 1400rpm), depth of semi-consumable pin (SPD) (2, 3 and 4 mm), and transverse speed (TVS) (20, 30 and 40mm/min). FSW joints were subjected to mechanical (tensile strength, percentage elongation, and modulus of toughness), morphological (fracture by scanning electron microscopy and surface profiling), structural (Fourier-transform infrared spectroscopy, x-ray diffraction) for optimizing the FSW process parameters. Analytic hierarchy process and genetic algorithm are implemented to acquire a single set of parameters which would result in the best value of tensile properties. The suggested levels are 1400 rpm, 2 mm, and 31.79 mm/min. of TRS, SPD, and TVS, respectively.

Recent advances in rare earth doped alkali-alkaline earth borates for solid state lighting applications

Abstract: As a novel class of inorganic phosphor, the alkali-alkaline earth borate phosphors have gained huge attention due to their charming applications in solid-state lighting (SSL) and display devices. The current research drive shows that phosphors based on the alkali-alkaline earth borates have transformed the science and technology due to their high transparency over a broad spectral range, their flexibility in structure and durability for mechanical and high-laser applications. Recent advances in various aspects of rare-earth (RE) doped borate based phosphors and their utilizations in SSL and light emitting diodes are summarized in this review article. Moreover, the present status and upcoming scenario of RE-doped borate phosphors were reviewed in general along with the proper credential from the existing literature. It is believed that this review is a sole compilation of crucial information about the RE-doped borate phosphors in a single platform.

Evolution of Recommender Systems from Ancient Times to Modern Era: A Survey

Abstract: Recommender systems were introduced in the mid-1990s to help people select the most suitable product for them from the plethora of options available with them. The idea that led to their development was that we people often rely on the opinions of our peers before trying something new, say it be before buying a smart phone, a laptop, before going for a movie, before going to a new restaurant and even before visiting a doctor. Till date, we have numerous recommender systems developed for various areas, using different recommendation approaches. Yet, there are still a few limitations of recommender systems that need to be worked on. In this paper, we present an overview of recommender systems, the various approaches of recommender systems, the application areas for which various recommender systems have been developed and we also present the limitations of recommender systems.

Learner-content interaction in e-learning- the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners

Abstract: Envisioning learning sans interaction is absurd. Interaction plays a pivotal role in the efficacy and effectiveness of the present-day blended learning systems. Learner-content interaction contributes predominately towards the successful realization of the expected learning outcomes. In order to satisfy the learners and to impart them quality knowledge and education, e-learning content comprising of excellent learning and website content is of paramount importance. In the present COVID-19 outbreak challenging times the significance of e-learning system development and its application is much more pronounced. To gauge this, the study aims to examine the relationship between learner-content and the e-learning quality to determine the impact of e-learning quality on learners’ satisfaction under the moderating effect of perceived harm due to COVID-19. A structured questionnaire was used to gather data from 435 graduate and undergraduate management students (International and national) in Indian Universities. Findings indicate statistically significant relationships between the e-learning content and e-learning quality and; e-learning quality and the students’ satisfaction. The perceived harm has an insignificant moderating effect on students’ satisfaction. The results of the study further depict that the quality of e-learning has a significant positive relationship with the students’ satisfaction, and this relationship is not affected by the threat of being infected on the campus during the pandemic of COVID-19. To achieve the learners’ satisfaction, the institutions should strive for rendering the e-learning content of supreme quality. The mediating role of e-learning quality between content and students’ satisfaction is also established to be a significant one.