Establishing Into The Effect of The Grinding Condition on The Productivity and Quality
This study investigated to find the relationship between productivity and quality of surface for difference grinding conditions, to develop a better understanding of the effect of cutting conditions for grinding, on the surface roughness and productivity, to build a multiple regression models and...
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Format: | Article |
Language: | Arabic |
Published: |
Mustansiriyah University/College of Engineering
2011-03-01
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Series: | Journal of Engineering and Sustainable Development |
Subjects: | |
Online Access: | https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1357 |
Summary: | This study investigated to find the relationship between productivity and quality of surface for difference grinding conditions, to develop a better understanding of the effect of cutting conditions for grinding, on the surface roughness and productivity, to build a multiple regression models and exponential models. Such an understanding can provide insight into the problems of controlling the surfaces finish with productivity when the process parameters are adjusted to obtain a certain surface finish at the acceptable productivity. There are three various machining parameters have an effect on the quality and productivity such as the velocity of detail (υ, m/min), feed rate (ƒ, mm/min) and the cutting time (τ, min) for different diameters of work piece, that are known to have a large impact on surface quality and productivity. The results of experiment allow considering the establishing grinding condition on the productivity and quality of surface, and then obtain mathematical models to ensure the quality and productivity. The goal of this work is to identify a relationship between experimental results and theoretical model, and establishing the proper process values for cylindrical grinding, to increasing the rates for raising the productivity of the process. Application of new progressive rates of correct grinding condition, it is very benefit when using in practice. In order to maximize the gains from utilizing finish surfaces, accurate mathematical prediction models are...
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ISSN: | 2520-0917 2520-0925 |