class="kwd-title">Keywords: Hybrid arc welding fixture, Tungsten Inert Gas Welding, Metal Active Gas Welding, Multiple Criteria Decision Making, Analytic-Hierarchy-Process, Analytic-Networking-Process class="head no_bottom_margin" id="ab010title">AbstractHybrid approach advocates combining two or more traditional technologies to overcome the limitations of the conventional practice. The devised Hybrid TIG MAG arc welding process with the help of an indigenous fixture overcomes the shortcomings of the conventional arc welding. The success of any hybrid technology depends on synergistic parameter interactions which demand a rigorous process control through parameter optimization. The devised process is controlled by 13 major parameters. Optimization of all the process controlling parameters is a resource consuming activity. This study manifests an analytic framework as a combination of hierarchical and networking decision making algorithms, which seeks input on parameter effects and their ranges arrived at through experimentation and gives a ranked or prioritized list of process controlling parameters as an output. The framework identifies 5 critical parameters responsible for the 62% of the parameter interactions which need to be optimized based on the application or the job at hand. The remaining 8 parameters responsible for the balance 38% of the parameter interactions have been stabilized through experimentation once for all process variations irrespective of the application or the job at hand. The study works on the merger of the process optimization and the process prioritization techniques.
展开▼
机译：<！-fig ft0-> <！-fig @ position =“ anchor” mode =文章f4-> <！-fig mode =“ anchred” f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>关键字：混合弧焊夹具，钨极惰性气体保护焊，金属活性气体保护焊，多标准决策，分析-Hierarchy-Process，Analytic-Networking-Process class =“ head no_bottom_margin” id =“ ab010title”>摘要混合方法主张结合两种或更多种传统技术来克服常规做法的局限性。借助本地夹具设计的混合式TIG MAG电弧焊工艺克服了传统电弧焊的缺点。任何混合技术的成功都取决于协同参数交互，这需要通过参数优化进行严格的过程控制。设计的过程由13个主要参数控制。所有过程控制参数的优化都是一项资源消耗活动。这项研究显示了一个分析框架，该分析框架是层次决策和网络决策算法的组合，可以寻求关于参数效果及其通过实验得出的范围的输入，并给出过程控制参数的排序或优先列表作为输出。框架确定了5个关键参数，这些关键参数占参数交互的62％，这些交互需要根据应用程序或手头的工作进行优化。其余38个参数交互作用的8个参数已通过实验针对所有过程变化进行了一次稳定化处理，而与应用程序或手头工作无关。该研究致力于过程优化和过程优先技术的融合。
展开▼
