Multi-Response Optimization of Abrasive Waterjet Machining of Ti6Al4V Using Integrated Approach of Utilized Heat Transfer Search Algorithm and RSM

Machining of Titanium alloys (Ti6Al4V) becomes more vital due to its essential role in biomedical, aerospace, and many other industries owing to the enhanced engineering properties. In the current study, a Box–Behnken design of the response surface methodology (RSM) was used to investigate the performance of the abrasive water jet machining (AWJM) of Ti6Al4V. For process parameter optimization, a systematic strategy combining RSM and a heat-transfer search (HTS) algorithm was investigated. The nozzle traverse speed (Tv), abrasive mass flow rate (Af), and stand-off distance (Sd) were selected as AWJM variables, whereas the material removal rate (MRR), surface roughness (SR), and kerf taper angle (θ) were considered as output responses. Statistical models were developed for the response, and Analysis of variance (ANOVA) was executed for determining the robustness of responses. The single objective optimization result yielded a maximum MRR of 0.2304 g/min (at Tv of 250 mm/min, Af of 500 g/min, and Sd of 1.5 mm), a minimum SR of 2.99 µm, and a minimum θ of 1.72 (both responses at Tv of 150 mm/min, Af of 500 g/min, and Sd of 1.5 mm). A multi-objective HTS algorithm was implemented, and Pareto optimal points were produced. 3D and 2D plots were plotted using Pareto optimal points, which highlighted the non-dominant feasible solutions. The effectiveness of the suggested model was proved in predicting and optimizing the AWJM variables. The surface morphology of the machined surfaces was investigated using the scanning electron microscope. The confirmation test was performed using optimized cutting parameters to validate the results

Ultra-scaled MoS 2 transistors and circuits fabricated without nanolithography

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Assessment of Effect of Nitrogen and Phosphorus Fertilization Module on Growth, Yield and Quality of Linseed (Linum usitatissimum L.)

Quantity of nitrogen and phosphorus assessed for growth, yield and quality of linseed during rabi 2022-23 at Agronomy Instructional Farm, Chimanbhai Patel College of Agriculture, S.D.A.U., Sardarkrushinagar. Nine treatment combinations comprising nitrogen (40, 60 and 80 kg N/ha) and phosphorus (30, 40 and 50 kg P2O5/ha) were tested in FRBD and replicated thrice in loamy sand. Significantly higher plant height, branches/plant, capsules/plant, test weight, seed yield (1540 kg/ha), stover yield (2330 kg/ha), oil content in seed, nitrogen (content and uptake), phosphorus uptake by linseed were recorded under 80 kg N/ha. The same treatment gave maximum net realization (Rs.61716/ha) and BCR (2.51). Significantly higher plant height, branches/plant, capsules/plant, test weight, seed yield (1524 kg/ha), stover yield (2297 kg/ha), oil content in seed, nitrogen uptake, phosphorus (content and uptake) by seed and stover recorded under 50 kg P2O5/ha. The same treatment gave maximum net realization (Rs. 59941/ha) and BCR (2.45). Application of 80 kg N/ha and 50 kg P2O5/ha were at par with 60 kg N/ha and 40 kg P2O5/ha, respectively. Based on the result of one year experimentation, it is concluded that to achieve better growth, yield and quality of linseed, it should be fertilized with 60 kg N/ha and 40 kg P2O5/ha

Effect of Split Application of Nitrogen Levels in Summer Pearlmillet (Pennisetum glaucum L.)

A field experiment was conducted at Sardarkrushinagar Dantiwada Agricultural University, Gujarat during summer season of 2022 on loamy sand. The experiment comprised of nine treatment combinations. Significantly higher plant height, earhead/plant, length of earhead, girth of earhead, test weight, grain and straw yield as well as protein content were recorded under 120 kg N/ha and application of nitrogen at 25% as basal + 75% as top dressing. The same level of nitrogen along with split application of nitrogen provided maximum net realization value and BCR. Application of 150 kg N/ha and split application of nitrogen 40% as basal + 60% as top dressing were at par with 120 kg N/ha and 25% as basal + 75% as top dressing, respectively

Effect of Auxin and Cow Urine as Nutrient Source on Pineapple Propagation through Crown in Soilless Culture under Protected Condition

The present study was aimed to investigate the effect of auxin and cow urine on rooting, survival and growth of pineapple through crown propagation with soilless culture under protected condition. The research was conducted in 2020 at the High-Tech Horticultural Park, College of Horticulture, Junagadh Agricultural University, Junagadh, employing a Completely Randomized Design (CRD) as the experimental design. Eight treatments were implemented, including Control (T1), IBA 400 ppm (T2), IBA 600 ppm (T3), IBA 800 ppm (T4), NAA 600 ppm (T5), NAA 800 ppm (T6), NAA 1000 ppm (T7) and Cow urine 15 % (T8). The results of this experiment revealed that IBA 600 ppm had a notable impact on various growth parameters. It exhibited the highest percentage of rooted crowns (94.44 %), length of root (5.58, 8.26 and 11.08 cm) at 15, 25 and 35 days, respectively, length of leaf (13.35, 16.27 and 19.67 cm) at 15, 25 and 35 days, respectively, no. of leaves (70.58, 80.28 and 91.06) at 15, 25 and 35 days, respectively. Furthermore, IBA 600 ppm significantly influenced the fresh root weight (16.46 g), dry root weight (7.77 g), fresh shoot weight (136.33 g), and dry shoot weight (57.67 g). Additionally, IBA 600 ppm demonstrated the highest survival rate (65.91%) and the lowest mortality rate (24.09%). While T6 gave maximum no. of roots (70.58, 80.28 and 91.06) at 15, 25 and 35 days, respectively. T8 gave minimum days required for root initiation (2.67 days). The use of IBA at 600 ppm for a brief dipping period, along with the utilization of NAA at 800 ppm for enhancing root formation, and Cow urine at 15% for accelerated rooting, can be recommended for promoting successful pineapple crown propagation

Aspergillosis in poultry

<p>Avian Aspergillosis is the major mycotic non-contagious disease of birds. It is also known as brooder pneumonia. It is mainly the disease of respiratory system affecting domestic poultry, wild birds and zoo birds. This is considered as disease of typical mishandling of birds mainly backyard and commercial poultry. The aspergillosis is mainly caused by Aspergillus fumigatus fungus, however other species such as A. flavus, A. niger, A. nidulans, and A. terreus may also be isolated from cases of aspergillosis in birds (occasionally in mixed infections).</p&gt

Genomics for greater efficiency in pigeonpea hybrid breeding

Cytoplasmic genic male sterility based hybrid technology has demonstrated its immense potential in increasing the productivity of various crops, including pigeonpea. This technology has shown promise for breaking the long-standing yield stagnation in pigeonpea. There are difficulties in commercial hybrid seed production due to non-availability of field-oriented technologies such as time-bound assessment of genetic purity of hybrid seeds. Besides this, there are other routine breeding activities which are labour oriented and need more resources. These include breeding and maintenance of new fertility restorers and maintainer lines, diversification of cytoplasm, and incorporation of biotic and abiotic stress resistances. The recent progress in genomics research could accelerate the existing traditional efforts to strengthen the hybrid breeding technology. Marker based seed purity assessment, identification of heterotic groups; selection of new fertility restorers are few areas which have already been initiated. In this paper efforts have been made to identify critical areas and opportunities where genomics can play a leading role and assist breeders in accelerating various activities related to breeding and commercialization of pigeonpea hybrids

Inertial measurement and heart-rate sensor-based dataset for geriatric fall detection using custom built wrist-worn device

This paper describes a dataset acquired from 41 volunteers performing 16 Activities of daily livings (ADLs) and 8 Falls repeated 5 times. This data was collected using a custom wrist-worn end device. The dataset has data collected from Inertial measurement unit (IMU) and heart-rate sensors. The end device is built using Qualcomm Snapdragon 820c System on Chip (SoC) interfaced to the sensors via Interconnect Integrated Circuit (I2C) protocol. The data was sampled for every activity at a rate of 20 Hz for the motion sensors and at a rate of 1 Hz for the heart-rate sensor. The motion sensor comprised of a triaxial accelerometer, triaxial gyroscope, triaxial magnetometer and a linear accelerometer. The heart-rate sensor was medical grade and all sensors were calibrated for the wrist -worn position. The dataset is available on this website https://shamanx86.github.io/fall_detection_data/ and https://doi.org/10.5281/zenodo.10013090