On the key vectors of legal protection of intellectual rights of the Russian participants of the foreign “megascience” projects

Globalization of scientific research entails a range of complex legal problems substantiated by the organizational aspects of creation and functioning of large research projects, such as the absence of the uniform legal approach towards creating “megascience” project, imbalance between legal force of the norms of international agreements and national norms within the legal system of the accepting country depending on the organizational form of the project. The object of this research is the complex of public relations that influence the building of legal protection mechanism for intellectual rights of the Russians participating in foreign “megascience” projects. Within the framework of this research, the author analyzes the questions of participation of the Russian scholars in “megascience” projects, including the problems of protection of their intellectual rights. The questions are studied in the context of the uniform system of specificity of problem situations that emerge in the course of implementation of “megascience” project. The main conclusion lies in the thesis that indicates the need to provide Russian scientific organizations and individual scholars participating in “megascience” projects with the necessary s methodological recommendations in form of an optimal model of legal protection of their rights and legitimate interests in conducting research within the framework of foreign megascience projects or using “megascience” installations. The activity of Russian scholars engaged in foreign “megascience” projects requires information-legal and organizational-legal support for the effective protection of intellectual rights. The novelty of this work consists in examination of the questions of participation of Russian scholars and scientific organizations in “megascience projects” abroad without reducing it to solely financial and scientific component problem.

Reduction of hole misalignment in turbocharger center housing

PurposeThis research work focuses on implementing this methodology in reducing the rejection rate of the turbocharger component problem that occurs during the manufacturing process. Using design, measure, analyze, improve and control (DMAIC) processes, it has been identified that clamping pressure on the component is one factor that affects quality. The impact of clamping pressure is studied to arrive at the ideal clamping pressure in which the rejection rate is the least.Design/methodology/approachQuality is the keyword in manufacturing where the production of a defect-free component is the most sought out objective. The definition of quality keeps getting refined throughout the years, from making products with no defects to minimizing rejection and scrap in the manufacturing process. Production facilities, to achieve this purpose, have adopted various methods and use of the DMAIC of Six Sigma methodology is one among them.FindingsThe study identified the fault causing the defect and suggested the methods to correct the fault. The suggestions would result in reducing the losses arising due to this and similar rejection causes.Originality/valueWith the adoption of DMAIC, it is found that misalignment of top and side clamp pressure is zero. When the side clamp pressure is at 75 PSI, and top clamp pressure is changed from 90 PSI to 95 PSI, the mean of responses is greater than the side clamp pressure of 80 PSI. Therefore, from the three-combination top clamp pressure of 100 PSI and the side clamp pressure of 75 PSI is the optimal condition.

N-Phase Interface Tracking Method Based on Prime Enumeration of Microcells

This paper presents a general method for tracking N incompressible materials and their associated interfaces, where N may be an integer greater than 2. Two key components are fundamental to the method. First, is the concept of a microgrid element or cell, which is uniquely identified or associated with a fluid material. Second, is a method for uniquely identifying a microcell through the use of prime numbers. The approach implements a microcell methodology embedded on a regular grid to further subdivide and then tag the material components of the computational system via a prime numbering algorithm. The microcells motion are then tracked, driven by local velocity conditions computed at the macrogrid level, and rectifying small anomalies by a coupled evaluation of local volume fraction fields and global mass conservation. Volume fractions can be calculated at any time step by an evaluation of the prime number distribution so that average cellular density and viscosity values can be regularly updated at the macrogrid level. This paper, then, presents the details of the microgrid method and illustrates its capabilities through two-dimensional, N-component, problem simulations.