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首页> 外文期刊>International journal of modeling, simulation and scientific computing >COMPARISON OF MODELING TECHNIQUES FOR SELECTING OPTIMIZED AND AUTOMATED PLASMA CUTTING PROCESS PARAMETERS
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COMPARISON OF MODELING TECHNIQUES FOR SELECTING OPTIMIZED AND AUTOMATED PLASMA CUTTING PROCESS PARAMETERS

机译：选择最佳和自动等离子切割工艺参数的建模技术的比较

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摘要

The advancement in technologies made the entire manufacturing system, to be operated with more efficient, flexible, user friendly, more productive and cost effective. One such a system to be focused for advancement is plasma cutting system, which has wider industrial applications. There are many researches pursuing at various area of plasma cutting technology, still the automated and optimized parameters value selection is challenging. The work is aimed to eliminate the manual mode of feeding the input parameters for cutting operation. At present, cutting parameters are fed by referring the past cut data information or with the assistance of experienced employers. The cutting process parameters selections will have direct impact on the quality of the material being cut, and life of the consumables. This paper is intended to automate the process parameters selection by developing the mathematical model with existing cutting process parameters database. In this, three different approaches, multiple regression, multiple polynomial regression and AI technique, are selected and analyzed with the mathematical relations developed between the different cutting process parameters. The accuracy and reliability of those methods are detailed. The advantage and disadvantage of those methods for optimal setting conditions are discussed. The appropriate method that can be preferred for automated and optimal settings are elucidated. Finally, the selected technique is checked for accuracy and reliability for the existing cut data.
机译：技术的进步使整个制造系统的运行更加高效，灵活，用户友好，更具生产力和成本效益。等离子切割系统就是其中一种需要改进的系统，它具有更广泛的工业应用。在等离子切割技术的各个领域有许多研究，但自动化和优化的参数值选择仍然具有挑战性。这项工作旨在消除为切割操作输入输入参数的手动模式。目前，切削参数是通过参考过去的切削数据信息或在经验丰富的雇主的协助下提供的。切割工艺参数的选择将直接影响被切割材料的质量以及消耗品的寿命。本文旨在通过使用现有切削工艺参数数据库开发数学模型来自动选择工艺参数。在本文中，选择了三种不同的方法，即多元回归，多元多项式回归和AI技术，并利用不同切削工艺参数之间建立的数学关系进行了分析。详细介绍了这些方法的准确性和可靠性。讨论了用于最佳设置条件的那些方法的优缺点。阐明了自动和最佳设置可能首选的适当方法。最后，检查所选技术的现有切割数据的准确性和可靠性。

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