Energy and Economic Indicators of the Machining Process in Accordance with the Requirements of ISO 50001

2020 ◽  
pp. 138-150
Author(s):  
Monika Nowak ◽  
Agnieszka Terelak-Tymczyna
Keyword(s):  
Machining Process ◽  
Economic Indicators

Deformation Replication

1970 ◽  
Vol 28 ◽  
pp. 280-281
Author(s):  
J. Temple Black
Keyword(s):  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Rake Face ◽  
Orthogonal Machining ◽  
Aluminum Chips ◽  
Before And After ◽  
Materials Used ◽  
Glass Knife ◽  
Very High

Tool materials used in ultramicrotomy are glass, developed by Latta and Hartmann (1) and diamond, introduced by Fernandez-Moran (2). While diamonds produce more good sections per knife edge than glass, they are expensive; require careful mounting and handling; and are time consuming to clean before and after usage, purchase from vendors (3-6 months waiting time), and regrind. Glass offers an easily accessible, inexpensive material ($0.04 per knife) with very high compressive strength (3) that can be employed in microtomy of metals (4) as well as biological materials. When the orthogonal machining process is being studied, glass offers additional advantages. Sections of metal or plastic can be dried down on the rake face, coated with Au-Pd, and examined directly in the SEM with no additional handling (5). Figure 1 shows aluminum chips microtomed with a 75° glass knife at a cutting speed of 1 mm/sec with a depth of cut of 1000 Å lying on the rake face of the knife.

Economics of Happiness as an Academic Research Discipline

2012 ◽  
pp. 94-107 ◽  
Author(s):  
O. Antipina
Keyword(s):  
Economic Performance ◽  
Research Methodology ◽  
Academic Research ◽  
Well Being ◽  
Economic Indicators ◽  
Research Discipline ◽  
Happiness Economics ◽  
Education And Health ◽  
Economics Of Happiness ◽  
Happiness Level

The article contains a review of the contemporary research in the field of economics of happiness. Economics of happiness deals with correlation between the subjective notion of well-being and happiness with ones life (happiness level) and economic indicators. The author considers the correlation of economic and noneconomic factors. The last ones —  such as education and health — also affect the level of happiness. The author dwells upon the following questions: research methodology in economics of happiness, correlation between subjective notion of well-being and happiness with ones life and economic performance on micro- and macrolevels.

Intensification of the process of obtaining basic bases as the basic components of low-curing lubricants

2020 ◽  
Vol 06 ◽  
pp. 48-50
Author(s):  
S.f. Antonov ◽  
◽  
E.F. Kutsevich ◽  
A.I. Matveeva ◽  
R.V. Bartko ◽  
...  
Keyword(s):  
Filtration Rate ◽  
Oil Content ◽  
Economic Indicators ◽  
High Melting ◽  
Polymer Additive ◽  
Modifying Additives ◽  
Base Oils ◽  
Technical And Economic Indicators ◽  
Dewaxing Process

Variants of the intensification of the solvent dewaxing process, which increase the yield of base oils, are described. One of the promising ways to improve the technical and economic indicators of the dewaxing process is the use of modifying additives. The work shows that the introduction of a polymer additive requires a decrease in the filtration rate and, accordingly, an increase in the performance of the dewaxing unit. This results in a petrolatum with a reduced oil content, which is a qualifying factor for the production of high-melting ceresins, protective-wax components, and lubricants for various purposes.

An Evaluation of Provincial Macroeconomic Performance in Vietnam

2017 ◽  
pp. 34-47
Author(s):  
Hoi Le Quoc ◽  
Nam Pham Xuan ◽  
Tuan Nguyen Anh
Keyword(s):  
Development Strategy ◽  
Institutional Transformation ◽  
Economic Indicators ◽  
Macroeconomic Performance ◽  
Economic Development Strategy ◽  
Socio Economic Development ◽  
The Cost ◽  
Development Objectives ◽  
First Time

The study was targeted at developing a methodology for constructing a macroeconomic performance index at a provincial level for the first time in Vietnam based on 4 groups of measurements: (i) Economic indicators; (ii) oriented economic indicators; (iii) socio-economic indicators; and (iv) economic - social – institutional indicators. Applying the methodology to the 2011 - 2015 empirical data of all provinces in Vietnam, the research shows that the socio-economic development strategy implemented by those provinces did not provide balanced outcomes between growth and social objectives, sustainability and inclusiveness. Many provinces focused on economic growth at the cost of structural change, equality and institutional transformation. In contrast, many provinces were successful in improving equality but not growth. Those facts threaten the long-term development objectives of the provinces.

Application of Display Technologies for Lighting

2019 ◽  
pp. 32-38
Author(s):  
Viktor V. Belyaev ◽  
Donatien K. Nessemon ◽  
Andrei A. Belyaev
Keyword(s):  
Automotive Industry ◽  
Economic Indicators

The article is devoted to contemporary overview of development of a number of display technologies, which have been applied or may be applied for creation of new prospective light engineering solutions. The emphasis is on OLED-based technologies and liquid crystalsbased technologies. Examples of their application in automotive industry and architecture are given with consideration of various economic indicators and hygienic and usability limitations.

Improved five-factor Altman evaluation model credit about the enterprise with economic indicators as fuzzy numbers

2020 ◽  
Vol 7 (1) ◽  
pp. 72-83
Author(s):  
Alevtina Yu. Shatalova ◽  
◽  
Igor V. Shevchenko ◽  
Boureima Bamadio ◽  
Konstantin A. Lebedev ◽  
...  
Keyword(s):  
Fuzzy Numbers ◽  
Evaluation Model ◽  
Economic Indicators

Performance Analysis on Eco-friendly Machining of Ti6Al4V using Powder Mixed with Different Dielectrics in WEDM

2020 ◽  
Vol 17 (3) ◽  
pp. 8128-8139
Author(s):  
S. Chakraborty ◽  
S. Mitra ◽  
D. Bose
Keyword(s):  
Metal Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Process Efficiency ◽  
Machining Parameters ◽  
Dielectric Fluids ◽  
High Emission ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Wedm Process

The recent scenario of modern manufacturing is tremendously improved in the sense of precision machining and abstaining from environmental pollution and hazard issues. In the present work, Ti6Al4V is machined through wire EDM (WEDM) process with powder mixed dielectric and analyzed the influence of input parameters and inherent hazard issues. WEDM has different parameters such as peak current, pulse on time, pulse off time, gap voltage, wire speed, wire tension and so on, as well as dielectrics with powder mixed. These are playing an essential role in WEDM performances to improve the process efficiency by developing the surface texture, microhardness, and metal removal rate. Even though the parameter’s influencing, the study of environmental effect in the WEDM process is very essential during the machining process due to the high emission of toxic vapour by the high discharge energy. In the present study, three different dielectric fluids were used, including deionised water, kerosene, and surfactant added deionised water and analysed the data by taking one factor at a time (OFAT) approach. From this study, it is established that dielectric types and powder significantly improve performances with proper set of machining parameters and find out the risk factor associated with the PMWEDM process.

Modeling of Self-Induced Vibrations that Occur During the Machining Process of Casting Patterns with the Use of The Fuzzy-Neural Networks Method

2013 ◽  
Vol 58 (3) ◽  
pp. 871-875
Author(s):  
A. Herberg
Keyword(s):  
Neural Networks ◽  
Control System ◽  
Network Structure ◽  
Fuzzy Systems ◽  
Fuzzy Neural Networks ◽  
Cnc Machining ◽  
Machining Process ◽  
Modeling Process ◽  
Fuzzy Neural ◽  
Takagi Sugeno

Abstract This article outlines a methodology of modeling self-induced vibrations that occur in the course of machining of metal objects, i.e. when shaping casting patterns on CNC machining centers. The modeling process presented here is based on an algorithm that makes use of local model fuzzy-neural networks. The algorithm falls back on the advantages of fuzzy systems with Takagi-Sugeno-Kanga (TSK) consequences and neural networks with auxiliary modules that help optimize and shorten the time needed to identify the best possible network structure. The modeling of self-induced vibrations allows analyzing how the vibrations come into being. This in turn makes it possible to develop effective ways of eliminating these vibrations and, ultimately, designing a practical control system that would dispose of the vibrations altogether.

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