International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
“Determination of Optimum Parameters affecting the properties of O Rings” Thejas Shetty A1, Sudheer D Kularni2, 1MTech
Student, Dept of IEM, Ramaiah Institute of Technology, Bengaluru, Karnataka, India Professor, Dept of IEM, Ramaiah Institute of Technology, Bengaluru, Karnataka, India ---------------------------------------------------------------------***--------------------------------------------------------------------2Assistant
Abstract - An abstract summarizes, in one paragraph (usually), the major aspects of the entire paper in the following prescribed sequence.
Design of experiment is a structured statistical technique used for analyzing the behavior of a product by changing various parameters in a specific manner and thereby recording the responses. Design of experiment includes choosing between different alternatives, thus selecting a key factor affecting the response. Application of DOE includes choosing between alternatives, selecting the factors affecting a response, regression modelling etc. The interpretation of results determining the set of factors that is responsible for each response measured in the experiment, finding the relationship between each measured response and determining the range of statistically significant factors. In the present we use DOE to identify the optimum parameters affecting the properties of EPDM G2 flange. A design with four factors and two levels was used to find the optimum temperature that is affecting the various mechanical properties that affects the O ring. The factors used are curing temperature, curing time, heat treatment temperature and heat treatment time which are experimented at various combinations. The O rings tested for tensile strength, elongation at break, load at break and elongation at break. The effect of curing and heat treatment on various mechanical properties is studied. MINITAB is used for generating contour plots such as regression analysis and interaction plots are generated and the optimum parameters are selected. The plots are interpreted to find the optimal parameter. Key Words: Design of Experiment, ANOVA, Tensile strength, Load at break, Elongation at break, Percentage elongation of G2 Flange.
1. INTRODUCTION Design of experiments is a systematic approach to the engineering problem solving that applies principles and techniques at the stage of data collection so as to ensure the generation of valid, defensible and supportable engineering conclusion. In addition, all these are carried out with minimal expenditure of engineering runs, time and money. The four general problem were DOE can be applied are (a) Comparative (b) Screening/ Characterizing (c) Modeling (d) © 2017, IRJET
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Optimizing. Various important concepts in creating designed experiment include blocking, randomizing and replication. Design of experiments (DOE) is used to understand the effects of the factors and interactions that impact the output of a process. DOE is used to methodically understand and enhance the predictability of the process. The variation that might impact the process output is investigated through design of experiment approach. The potential factors are derived from variety of sources including understanding the process map, brain storming, and fishbone diagram and cause and effect matrices. With a designed experiment, you change the process settings to see the effect this has on the process output. Design of experiment refers to the structured way you change these parameters, so as to study the effect of changing multiple setting simultaneously. This active approach allows you to effectively and efficiently explore the relationship between multiple process variables (x’s) and the output, or process performance variables (y’s). DOE identifies the “vital few” sources of variation (x’s)—the factors that have the biggest impact on the results DOE identifies the x’s that have little effect on the results. It quantifies the effects of the important x’s, including their interactions. It produces an equation that quantifies the relationship between the x’s and the y’s.It predicts how much gain or loss will result from changes in process conditions
1.1 Advantages of DOE Many factors can be evaluated simultaneously, making the DOE process economical and less interruptive to normal operations. Sometimes factors having an important influence on the output cannot be controlled (noise factors), but other input factors can be controlled to make the output insensitive to noise factors. In depth, statistical knowledge is not always necessary to get a big benefit from standard planned experimentation. One can look at a process with relatively few experiments. The important factors can be distinguished from the less important ones. Concentrated effort can then be directed at the important ones.
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