Drawing is a visual mode of communication. Teaching drawing requires one-to-one personal interaction among the tutor and the learner. The technical drawing is no exception, and it requires a considerable amount of imagination skills. On-line mode of pedagogy shall be occupying a substantial portion of the mode of delivery in teaching and learning during, as well as, after the coronavirus disease 2019 (COVID-19) pandemic era. This work focuses on the training and knowledge sharing of machine drawing skills through online mode, which is the requirement of the present era. A knowledge management perspective for machine drawing pedagogy is involved in this work. Challenges in the online pedagogy of machine drawing are deliberated through Ishikawa diagram and service Failure Modes and Effects Analysis. A maker education perspective of online machine drawing pedagogy is delineated. An approach toward knowledge workforce, knowledge transfer, and tacit knowledge is adopted for online teaching of machine drawing. Finally, conclusions are drawn in context of online pedagogy for a spatial visualization-based course like machine drawing.

Government of India has cleared the New Education Policy (NEP) 2020 by bringing out many reforms in the education sector with a focus on education design, delivery, and assessment. This work is an attempt toward perceiving the post-COVID-19 era as an enabler in the engineering education process for the implementation of blended learning. Causal analysis through the Ishikawa diagram is brainstormed for enlisting all the potential causal factors for the inability to restore normalcy during the COVID-19 pandemic. Process Failure Modes and Effects Analysis (PFMEA) is adopted for restoring normalcy through prioritized corrective actions. Thus, NEP 2020 is considered for leveraging blended learning.

Worm gears are unique in their ability to achieve large speed reductions in a compact space with gear ratios of 20:1, 60:1 and 200:1 or even higher in some cases and have transmission efficiency between 50% and 70%. One of the major drawback in worm drive design is the relative motion between the two mating elements is entirely sliding. This sliding motion continuously expels the lubricant aside leading to higher wear and increase in temperature. This phenomenon leads to high wear and higher temperatures, which are the limiting factors in the worm drives. Nano particles have gained a greater attention in the recent years because of their highly enhanced thermal and tribological properties when blended with conventional lubricants. In the present investigations the addition of Al2O3 nano particles with average particle size of 30 nm in SAE 140 gear oil resulted in reducing the coefficient of friction, wear and enhanced the heat transfer coefficient. It is observed that coefficient of friction is decreased by 8.98%, 10.11% and 16.85% at nano particle volume concentration of 0.1%, 0.2% and 0.5% respectively at room temperature. Frictional force was found reduced by 26.02% at room temperature for 0.5% volume concentration. Further it was also noted 32.25% and 18.55% reduction in frictional force at the temperatures 60°C and 90°C respectively for 0.2% volume concentration. Convective heat transfer coefficient is increased with increasing particle volume concentration and maximum enhancement of 46.35% in heat transfer coefficient observed at 0.5% volume fraction. The results depict that lubricants blended with nano particles exhibit enhanced tribological and heat transfer properties.

No abstract