EXPERIMENTAL INVESTIGATION OF TOOL WEAR AND INDUCED VIBRATION IN TURNING HIGH HARDNESS AISI52100 STEEL USING CUTTING PARAMETERS AND TOOL ACCELERATION

In machining of high hardness steel, vibration of cutting tool increases tool wear which reduces its life. Tool wear is catastrophic in nature and hence investigation of its assessment is important. This study investigates experimentally induced vibration during turning of hardened AISI52100 steel of hardness 54±2 HRC using coated carbide insert. In this context, cutting tool acceleration is measured and used to develop a novel mathematical model based on acquired real time acceleration signals of cutting tool. The obtained model is validated as R2= 0.93 while its residuals values closely follow the straight line. The predictions are confirmed by conducting conformity test which revealed a close degree of agreement with respect to the experimental values. The Artificial Neural Network (ANN) examination is performed to determine the model regression value. The study shows that the examined reports forecasts of ANN are more exact than regression analysis. The future directon of this investigation is towards developing a low-cost microcontroller-based hardware unit for in-process tool wear monitoring which could be beneficial for small scale industries

Performance of agriculture insurance schemes in India

Risk and Uncertainty,

The v\mathrm{v}-Number of Binomial Edge Ideals

The invariant $\mathrm{v}$-number was introduced very recently in the study of Reed-Muller-type codes. Jaramillo and Villarreal (J Combin. Theory Ser. A 177:105310, 2021) initiated the study of the $\mathrm{v}$-number of edge ideals. Inspired by their work, we take the initiation to study the $\mathrm{v}$-number of binomial edge ideals in this paper. We discuss some properties and bounds of the $\mathrm{v}$-number of binomial edge ideals. We explicitly find the $\mathrm{v}$-number of binomial edge ideals locally at the associated prime corresponding to the cutset $\emptyset$. We show that the $\mathrm{v}$-number of Knutson binomial edge ideals is less than or equal to the $\mathrm{v}$-number of their initial ideals. Also, we classify all binomial edge ideals whose $\mathrm{v}$-number is $1$. Moreover, we try to relate the $\mathrm{v}$-number with the Castelnuvo-Mumford regularity of binomial edge ideals and give a conjecture in this direction

A rare case of submandibular abscess due to candida dubliniensis in a known patient of chronic kidney disease

Candida infection of salivary gland is extremely rare and a submandibular gland infection with Candida dubliniensis in an immunocompetent patient has, to the best of our knowledge, never been described before. Diagnosis was based on isolation of Candida dubliniensis in pure culture from abscess pus. Combination of a local drainage and intravenous fluconazole proved to be an efficient therapeutic strategy

A rare case of pleural effusion due to Acinetobacter junii in a known patient of pulmonary tuberculosis

The genus Acinetobacter comprises a heterogenous group of bacterias that are mostly pandrug resistant and implicated in variety of nosocomial infections. Acinetobacter junii is a rare human pathogen and is mainly associated with blood stream infections in paediatric oncology patients. We report a rare case of pleural effusion caused by A. junii in a known pulmonary tuberculosis patient who was on cat-1 antitubercular treatment

Editorial: Evolution in respiratory pharmacology

This collection of Research Topics entitled “Evolution in respiratory pharmacology,” involving authors from several countries, confirms that “Respiratory Pharmacology” is a current topic in clinical and research settings. All articles focused on contributions that explore the changing context and emerging new perspectives within Respiratory Pharmacology (Kim et al., Cerqua et al., Li et al., Lin et al., Zhang et al.). The emphasis of this Research Topic is on the dynamics of change and the evolution of the latest progress made in the field of Respiratory Pharmacology. This collection of articles aims to inform, inspire, and provide direction and guidance to researchers in the field

Analysis of tool vibration and surface roughness with tool wear progression in hard turning: An experimental and statistical approach

The machined surface quality and dimensional accuracy obtained during hard turning is prominently gets affected due to tool wear and cutting tool vibrations. With this view, the results of tool wear progression on surface quality and acceleration amplitude is presented while machining AISI 52100 hard steel. Central Composite Rotatable Design (CCRD) is employed to develop experimental plan. The results reported that vibration signals sensed in a tangential direction (Vz) are most sensitive and found higher than the vibrations in the feed direction (Vx) and depth of cut direction (Vy). The acceleration signals in all three directions are observed to increase with the advancement of tool wear and good surface finish is observed as tool wear progresses up-to 0.136mm. The vibration amplitude is discovered high in the range 3 kHz – 10 kHz within selected cutting parameter range (cutting speed 60-180mm/min, feed 0.1-0.5mm/rev, depth of cut 0.1-0.5mm). The investigation is extended for the development of multiple regression models with regression coefficients value 0.9. These models found statically significant and give dependable estimates between a tool vibrations and cutting parameters

Microwave assisted multicomponent reaction: An environmentally benign protocol for the synthesis of substituted imidazo[2,1-b]thiazole-2-carbohydrazide derivatives under solvent free condition

The present report describes a microwave assisted convenient and efficient protocol for the synthesis of new 6-(4-substituted-phenyl)-3-methylimidazo[2,1-b]thiazole-2-carbohydra- zide derivatives. The current method holds a tag of green synthesis by virtue of catalyst and solvent free media. Moreover, the procedure offers excellent yield and purity of the products under mild condition compared with conventional method

Heritability estimates of first lactation 300-day milk yield under single versus multi-trait animal models in Phule Triveni cattle

First lactation records of 493 Phule Triveni cows sired by 55 bulls on production traits, viz. first lactation 300- day or less milk yield (FL300DMY), first lactation length (FLL), first dry period (FDP) and reproduction traits like age at first calving (AFC), first calving interval (FCI) and first service period (FSP) were used to compare the heritability estimates of FL300DMY under single-trait animal model (ST-AM) versus multi-trait animal models (MT-AM) in Phule Triveni cattle. Under two-trait models, the heritability estimate was found to be highest in FL300DMY-AFC combination as 0.34 ± 0.14. Under three-trait models, the heritability estimate was highest (0.33 ± 0.14) in FL300DMY- AFC- FDP combination. Under four-trait models, the highest estimate of heritability (0.53 ± 0.12) was in FL300DMY-FLL-AFC-FCI combination. Comparison of heritability estimates of FL300DMY from different models revealed that the estimates were varying from single to multiple traits in different combinations. The lowest residual variance (190566) and highest heritability (0.53 ± 0.12) of four-trait combination FL300DMY- FLL-AFC-FCI indicated that this four-trait combination should be used for selection of Phule Triveni cows

Comparison of four different lactation curve models for prediction of weekly test day milk yields in Murrah buffalos

The present investigation was carried out using data on 39,059 weekly test day milk yield (WTDMY) records during first lactation of 961 Murrah buffaloes calved during 1977–2012 maintained in an organized farm at the Institute. The least squares means of the WTDMY ranged from 2.50±0.09 kg to 7.81±0.09 kg. The relative efficiency of 4 lactation curve models via gamma-type function (GF), exponential function (EF), mixed log function (MLF) and polynomial regression function (PRF) were compared. PRF described the highest coefficient of determination (99.30%) and with least value (0.02 kg) of root mean squares error (RMSE), whereas, least coefficient of determination (88.50%) was observed in EF having maximum (0.08 kg) RMSE value suggesting PRF the best mathematical model for prediction of WTDMYs in Murrah buffaloes