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Indian J. Sci.Res. 2(1) : 151159, 2014 ISSN : 22500138 (Online) ISSN: 09762876(Print) NUMERICAL AND EXPERIMENTAL STUDY OF FEED RATES AS A PROCESS PARAMETERS IN THE FLOW FORMING OF AA7075 SOLID TUBES

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1. Identify the research question or problem you want to address through your study. This will help guide your research and determine the type of data you need to collect.
2. Decide on the appropriate methodology for your study. Determine if numerical analysis or experimental design is more suitable to answer your research question. Numerical analysis involves using mathematical models to simulate and analyze data, while experimental design involves conducting controlled experiments to collect data.
3. Plan and design your study. Determine the variables you need to measure or manipulate in your study. This will depend on your research question and the type of data you intend to collect. Consider factors such as sample size, data collection methods, and potential bias.
4. Collect the necessary data. If you are conducting numerical analysis, gather relevant numerical data from reliable sources or use appropriate mathematical models to generate data. If you are conducting an experimental study, follow your designed protocol and collect data through experiments or observations.
5. Analyze the collected data. Use appropriate statistical or numerical analysis techniques to analyze your data. This may involve calculations, statistical tests, or visualization methods. Interpret the results of your analysis and draw conclusions based on your findings.
6. Communicate your results. Present your findings in a clear and coherent manner. Depending on the context, this can be done through research papers, technical reports, presentations, or visualizations. Make sure to include relevant details about your study methodology, data, and results.

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1. Researchers and scientists in various fields such as engineering, physics, biology, and economics may require numerical and experimental studies to understand complex phenomena, validate hypotheses, or optimize processes.
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In conclusion, filling out a numerical and experimental study involves identifying the research question, planning and designing the study, collecting and analyzing the data, and communicating the results. Numerical and experimental studies are necessary for researchers, scientists, engineers, policy makers, and students in various fields to gain insights, make informed decisions, and contribute to knowledge advancement.

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What is numerical and experimental study?

Numerical and experimental study involves using mathematical models and conducting practical tests to analyze and understand a particular phenomenon.

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Numerical and experimental study can be filled out by collecting data, analyzing results, and reporting findings in a structured manner.

What is the purpose of numerical and experimental study?

The purpose of numerical and experimental study is to gain insight into the behavior and characteristics of systems or processes through analysis and testing.

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Information such as study methodology, results, conclusions, and recommendations may need to be reported on numerical and experimental study.