Effect of Manual Grinding Operations on Surface Integrity

AbstractManual grinding operations are influenced by a number of variants such as a worker's posture and motion, in addition to the general parameters affecting automated grinding processes, for example, tool speed and feed rate. Moreover, dry cutting conditions and poor control of the machining process can negatively influence chip formation and part quality in terms of roughness, microhardness, microstructure, etc. The goal of this work is to analyze the processing energy, resulting surface integrity, and prospective part performance, considering the above-mentioned variants, with the aim to give a detailed insight into manual grinding processes and fill the existing knowledge gaps. For this paper, we have limited our subject to one and thus have not studied the effect of worker's skills involved in manual grinding

Phosphate Solubilising Fungi from Mangroves of Bhitarkanika, Orissa

Mangroves have evolved several adaptations to swampy and saline environments. It is situated at the inter-phase between marine and terrestrial environment, which is highly productive providing nutrients to surrounding micro biota. Similar adaptive characteristics in the form and function may occur with the associated microflora in such environments. Several free living and symbiotic microorganisms occurred in such saline habitats and some of them are reported for their beneficial activity in mangrove ecosystem like biomineralization of organic matter and bio-transformation of minerals. In view of this, 106 fungi isolated from rhizosphere and phyllosphere of mangrove plants grown in Bhitarkanika, Orissa were screened on plate culture containing Pikovaskaya medium for the phosphate solubilization. Selected fungi were evaluated for their phosphate solubilization potential under different cultural conditions. A total of 36 fungi were isolated that showed variable halo zone on medium containing tricalcium phosphate when grown under different pH and temperature. The highest zone was formed by Aspergillus PF8 (63 mm) and Aspergillus PF127 (46.5 mm). The observation on tricalcium phosphate solubilization activity of Paecilomyces, Cladobotrytis, Helminthosporium is rare. However, a detailed and elaborative studies are needed to confirm better mineral solubilization potential of these fungi. Key words: mangrove, fungi, phosphat

Effect of resveratrol on diabetic neuropathy in wistar albino rats

Background: Type 2 diabetes mellitus (DM) is a common chronic disease with increasing prevalence worldwide. Prolonged uncontrolled hyperglycemia, dyslipidemia are major risk factor for its complication like neuropathy. Since there is no definite treatment for diabetic neuropathy, this study aims to evaluate the effect of resveratrol on diabetic neuropathy in high fat diet with low dose streptozotocin induced type-2 DM model in wistar albino rats.Methods: First type 2 diabetic rat model was established. Wistar albino rats, fed with high-fat diet (HFD) rendered diabetic with streptozotocin, were divided into 6 groups, disease control (DC) treated with vehicle, standard control (SC) which received metformin, test groups treated with 5, 10, and 20 mg/kg b.w. of resveratrol and combination of half dose of metformin and resveratrol (10 mg/kg) (TC). A group of six normal animals served as normal control (NC), another six as HFD control. Fasting plasma glucose, lipid profile were measured one week after induction of diabetes. The animals were then treated orally for 2 weeks after which the same parameters were repeated. Behavioral biomarkers for neuropathy are measured in 4 weeks and 6 weeks of treatment. The in-vivo results were analyzed by one way ANOVA followed by Tukey’s multiple comparison test for biochemical parameters and Kruskal Wallis test followed by Dun’s multiple comparison test for behavioral biomarkers.Results: Increase in fasting plasma glucose (FPG), deranged lipid profile, increased neuropathy in DC compared to NC, HFD control while a significant decrease in FBG, improved pain behavior with SC, test groups (p<0.05) as compared to the DC group.Conclusions: Resveratrol prevents diabetic neuropathy

Effects of resveratrol on oxidative stress in high fat diet /streptozocin induced diabetic wistar albino rats

Background: Diabetes mellitus is a common chronic disease. One of the pathophysiology is found to be oxidative stress. This study aims to evaluate the effect of resveratrol on oxidative stress in high fat diet (HFD)/streptozotocin induced diabetic rats.Methods: Wistar albino rats, fed with HFD rendered diabetic with streptozotocin, were divided into 6 groups, namely the diabetic control treated with vehicle (DC), standard control which received metformin (SC), test groups treated with 5,10, and 20 mg/kg b.w. of resveratrol and combination of half dose of metformin and resveratrol (10 mg/kg)(TC). A group of six normal animals served as normal control (NC), another six as HFD control. Fasting blood glucose, lipid profile and serum MDA and SOD were measured one week after induction of diabetes. The animals were then treated orally for 2 weeks after which the same parameters were repeated. The in-vivo results were analysed by one way ANOVA followed by Tukey’s multiple comparison test.Results: The DC group demonstrated a increase in the fasting blood glucose compared to NC, HFD control while a significant decrease in the fasting blood glucose was observed with SC, Test groups (p<0.05) as compared to the DC group. TC showed a significant improvement in dyslipidemia compared to their baseline values (p<0.05). There was significant change in the serum MDA level and SOD activity.Conclusions: Resveratrol improves oxidative stress in diabetic rats

Aesthetics and Gloss of Ground Surfaces: A Review on Measurement and Generation

Visual appearance of an object significantly influences a consumer&apos;s choice and largely controls the market economy. The perceived quality of products is governed by surface&apos;s optical properties (reflection, refraction, etc.), geometrical properties (roughness, waviness, etc.), and chemical properties (oxide layer formation, thermal variation, etc.). Surface shininess attracts researchers from many different disciplines, in particular manufacturing, metrology, psychology, physiology, and computer science. Unfortunately, there are still huge knowledge gaps on characterizing and appraising shiny surfaces in a reproducible way. This paper introduces the main definitions and physics of shininess and gloss, methods of gloss sensing, and relates these definitions and methods to surface generation by grinding. Automated gloss measurement is difficult in particular for free-form surfaces, and optical quality is still often evaluated by human workers. Gloss models are often based on the bidirectional reflection distribution function (BRDF) of the surface, but the models are commonly not connected with the manufacturing process. This study proposes to consider the geometrical features (defects, waviness, lay, and roughness) of metal surfaces as well as the physical and chemical features (grain structure and microlayers) to understand surface appearance and manufacturing in a holistic way. Preliminary tests show that 2D roughness measurements are not connected well with measured gloss units (GUs) and subjective, perceived quality. More fundamental research on the generation and measurement of surface appearance is needed and would benefit many industries

Strategies for identifying stable lentil cultivars (Lens culinaris Medik) for combating hidden hunger, malnourishment, and climate variability

Iron and zinc malnutrition is a global humanitarian concern that mostly affects newborns, children, and women in low- and middle-income countries where plant-based diets are regularly consumed. This kind of malnutrition has the potential to result in a number of immediate and long-term implications, including stunted growth, an elevated risk of infectious diseases, and poor development, all of which may ultimately cause children to not develop to the fullest extent possible. A determination of the contributions from genotype, environment, and genotype by environment interactions is necessary for the production of nutrient-dense lentil varieties that offer greater availability of iron and zinc with a high level of trait stability. Understanding the genotype and environmental parameters that affect G x E (Genotype x Environment) interactions is essential for plant breeding. We used GGE(Genotype, Genotype x Environment interactions) and AMMI (Additive Main effects and Multiplicative Interaction) models to study genetic stability and GE(Genotype x Environment interactions) for grain Fe, Zn, Al, and anti-nutritional factors like phytic acid content in sixteen commercially produced lentil cultivars over several different six geographical locations across India. Significant genetic variability was evident in the Fe and Zn levels of different genotypes of lentils. The amounts of grain iron, zinc, and phytic acid varied from 114.10 to 49.90 mg/kg, 74.62 to 21.90 mg/kg, and 0.76 to 2.84 g/100g (dw) respectively. The environment and GE (Genotype x Environment interactions) had an impact on the concentration of grain Fe, Zn, and phytic acid (PA). Heritability estimations ranged from low to high (53.18% to 99.48%). The study indicated strong correlation between the contents of Fe and Zn, a strategy for simultaneously increasing Fe and Zn in lentils may be recommended. In addition, our research revealed that the stable and ideal lentil varieties L4076 (Pusa Shivalik) for Fe concentration and L4717 (Pusa Ageti) for Zn content, which have lower phytic acid contents, will not only play an essential role as stable donors in the lentil bio-fortification but will also enable the expansion of the growing area of bio-fortified crops for the security of health and nutrition