• ABOUT THE METHODOLOGICAL BASES OF THE PROBLEM FOR AN IMPROVEMENT OF AN EXISTING SOLUTION

    Mechanization in Agriculture, Vol. 60 (2014), Issue 6, pg(s) 6-8

    The engineering task – to improve the existing solution starts when, during the cycles of manufacturing or intended use of a technical system, it appeared preconditions for achieving better results. Although the problem is common for the engineering practice, there is no generally accepted model (algorithm) for its solution. For the harvesting of soy crops and other row crops in the country headers HPS are widely used, which are manufactured at METAREM – AD Pavlikeni. For the past more than thirty years since the start of mass production, headers passed their long path of development and improvement. Through the analysis of the collaboration of TISEM – AD, Ruse and METAREM – AD in the improvement of headers HPS, the types of activities and the content of the work are clarified. On this basis, is proposed a model (algorithm) to solve the engineering task to improve the existing solution, which covers all the activities of the design process.

  • ADAPTATION OF AN EXISTING SOLUTION FOR WORK IN NEW CONDITIONS – AN ANALYSIS OF THE METHODOLOGY

    Mechanization in Agriculture, Vol. 60 (2014), Issue 3, pg(s) 15-17

    The analysis of the problems to be solved in the engineering practice shows that the adaptation of an existing solution to work in new conditions is one of the most common design problems. For harvesting soybeans and other row crops in the country are widely used headers HPS produced by METAREM – AD Pavlikeni. They were created in connection with the introduction of technology for row harvesting of soybeans in our agricultural production, which is well known and widespread in the world practice. Through the analysis of the collaboration of TISEM – AD, Ruse and METAREM – AD on creating headers HPS, the contents of the engineering preparation for the production, is clarified. On this basis, a model (algorithm) to solve the engineering task of adapting an existing solution to work in new conditions is proposed.