The tie rod ensures the safety of vehicle on both impact and vibration perspective also plays one of the major roles in connecting primary parts of automobile and steering mechanism. Its end is an indication system of vehicle alignment. The tie rod end maintains the proper adjustment access of the wheel as well as indirectly limits the inner and outer edge wear of tires. Hence the appropriate functioning of tie rod assembly system is essential for the automobile system (steering and suspension). Today's competitive world needs advanced technology with effective cost. This results in the mutation of conventional technology or method according to present requirements. Most of the automobile and commercial product manufacturing industries are in the obsession to make and launch the economical product with the limited time span. The engineers from various domains are deliberately designing unique products, which possess simple manufacturing process, lower cost of manufacturing and very minimum time consumption. The proposed design and analysis focus on general tie rod assembly functioning of the tractor which fails on the overload applications. Firstly, old tie rod design and materials used for effective agriculture applications were studied and the mutated design with various stresses and deformation characteristics under critical loading conditions are investigated using ANSYS software.

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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.