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Burlington, MA, United States

Agarwal S.,128 Technology | Venkateswara Rao P.,Indian Institute of Technology Delhi
International Journal of Machine Tools and Manufacture | Year: 2010

Surface quality of workpiece during ceramic grinding is an ever-increasing concern in industries now-a-days. Every industry cares to produce products with supposedly better surface finish. The importance of the surface finish of a product depends upon its functional requirements. Since surface finish is governed by many factors, its experimental determination is laborious and time consuming. So the establishment of a model for the reliable prediction of surface roughness is still a key issue for ceramic grinding. In this study, a new analytical surface roughness model is developed on the basis of stochastic nature of the grinding process, governed mainly by the random geometry and the random distribution of cutting edges on the wheel surface having random grain protrusion heights. A simple relationship between the surface roughness and the chip thickness was obtained, which was validated by the experimental results of silicon carbide grinding. © 2010 Elsevier Ltd. All Rights reserved.


Agarwal S.,128 Technology | Rao P.V.,Indian Institute of Technology Delhi
International Journal of Machine Tools and Manufacture | Year: 2013

The grinding force and power play an important role in ceramic grinding process as they not only have the direct influence on the wheel wear, grinding accuracy, grinding temperature and surface integrity but also have strong influence on local contact deflection and the nature of the contact deflection that has an important effect on the mechanism of material removal. In addition, they are also important to many aspects of ceramic grinding process optimization, monitoring, and control. So the prediction of grinding force and power in ceramic grinding is essential. But, the force and power is governed by many factors and its experimental determination is laborious and time consuming. So the establishment of a model for the reliable prediction of grinding force and power is still a key issue for ceramic grinding. In this study, a new grinding force and power model is developed, for the reliable prediction of grinding force and power in ceramic grinding, based on a new analytical undeformed chip thickness model. This new analytical undeformed chip thickness model is developed on the basis of stochastic nature of the grinding process, governed mainly by the random geometry and the random distribution of cutting edges. The model includes the real contact length that results from combined contact length, due to wheel-workpiece contact zone deflection and the local deflection due to the microscopic contact at the grain level and contact length due to geometry of depth of cut. The proposed model is used to predict the total grinding forces and power in surface grinding. The new model has been validated by conducting experiments on a horizontal surface grinding machine by grinding silicon carbide with diamond grinding wheel. Results indicate that the proposed model shows a good agreement with the experimental data obtained from different kinematic conditions. It also results in a significant reduction in the grinding forces, as compared with that obtained by the force model developed based on the existing undeformed chip thickness model, under the same operating conditions, in silicon carbide grinding. © 2012 Elsevier Ltd. All rights reserved.


Murawskia K.,Military University of Technology | Rozyckib R.,Military Institute of Medicine | Murawskic P.,128 Technology | Matyjab A.,Military Institute of Medicine | Rekasb M.,Military Institute of Medicine
Acta Physica Polonica A | Year: 2013

Meibomian gland dysfunction is one of the most common eye disorders observed in clinical practice. It applies to almost 50% of the population, especially people using contact lenses. It is believed that meibomian gland dysfunction is the most common cause of abnormal stability and integrity of the tear film. Despite this, there is no commercially available equipment for the diagnosis. The article proposes the construction of an optical sensor and a computer system for the rapid, non-invasive diagnosis of meibomian gland dysfunction. The designed hardware and software as well as preliminary results of clinical research are also described.


Gnonlonfin G.J.B.,Copenhagen University | Gnonlonfin G.J.B.,128 Technology | Gnonlonfin G.J.B.,University Abomey Calavi | Sanni A.,University Abomey Calavi | Brimer L.,Copenhagen University
Critical Reviews in Plant Sciences | Year: 2012

Coumarins have been found in many plant species and some have antimicrobial and antifungal activities as well as pharmacological effects. Scopoletin (6-methoxy-7-hydroxycoumarin) is a coumarin compound with antifungal properties that has been isolated from several plant species. Although it is not yet fully understood, the biosynthesis of scopoletin is described. In addition, its induction upon attack by pathogens and abiotic stress as well as its inhibitory effects on bacteria and fungi are summarized in this review. The scientific information on the inhibitory effect of scopoletin on storage fungi is scarce. © 2012 Taylor and Francis Group, LLC.


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128 Technology and Primary Networks II Inc. | Date: 2014-10-14

Network routers; computer network interface devices; computer networking software; routing software for computers.

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