► Diffusion bonding behaviour of ECAPed Cu–Cr–Zr alloy and copper is investigated. ► Thermal stability of the materials is presented. ► Micostructural evolution of the two materials with ECAP is ...presented.
The structure, thermal stability and diffusion bonding behaviour of oxygen free high conductivity copper (OFHC), and Cu–Cr–Zr alloy (CRZ) with ultra fine grains (UFG) produced by severe plastic deformation through equal-channel angular pressing (ECAP) are investigated. Microstructural study reveals a grain refinement from 150μm to 200nm sized grains after 8 ECAP passes. Thermal stability of ECAP processed OFHC and CRZ has been investigated. Both OFHC and CRZ show hardness reduction at temperatures above 100°C. However CRZ exhibits grain size stability up to a temperature of 500°C. Diffusion bonding studies reveal that bond strengths of ∼54MPa are developed between ECAP processed CRZ and OFHC at a lower temperature of 500°C when compared to annealed materials.
Crop Yield Pred iction using Regression Model Ujjainia, Shikha; Gautam, Pratima; Veenadhari, S.
International journal of innovative technology and exploring engineering,
08/2020, Letnik:
9, Številka:
10
Journal Article
Odprti dostop
This research is done to find out the production dependability of crop with various physical circumstances. The prediction can also be done of a crop yield by using the model of regression and it is ...mainly discussed in this paper. Machine learning is an emerging research area in Agriculture, particularly in crop yield analysis and prediction. There are some complex data which are tough to decode or find by everyone, the strategies of machine learning can be used in this scenario and automatically the valuable underlining pattern can be accessed. Various complex decision-making activities can be performed when the feature of machine learning will enable the knowledge and patterns which are unseen about any problem. The future events can also be predicted. In the growing season as possible, a farmer is focused on conceptualizing how much yield they except. Like many other regions, the amount of agricultural data is increasing at the daily source. This paper aims to predict crop yield on the collected agricultural dataset. The regression analysis model is used to test the accuracy and effective predictions of the rice crop yield in India. Linear regression is used to establish a relationship between various environmental variables like temperature, rainfall, etc and the crop yield. It is important to measure the possible production of rate of crop and the farmers will be benefitted by the result of this prediction. As financial impact is attached of the farmers with the yield production, the research will support them to avoid any loss. The accuracy of the prediction through regression model is also observed in this research paper.
"The Test of Knowledge" (1919) Tagore, Rabindranath
Sanglap : journal of literary and cultural inquiry,
12/2023, Letnik:
10, Številka:
1
Journal Article
Recenzirano
Odprti dostop
...here, we lack a court of judgement; consequently, we have to manage carefully by importing the imitation of judgement from abroad. The reason is - the place from where knowledge is being borrowed ...is the same place from where intellect is also lent. ...I don't feel confident in employing my own discernment to practice the knowledge powerfully. With what do I compare this knowledge, with what do I assess it? ...the ticket with the weight and price tagged upon the imported material has to be accepted as complete, like sixteen annas.
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