Nosov Magnitogorsk State Technical University (Magnitogorsk, Russia):

K. G. Pivovarova, Cand. Eng., Associate Prof., Dept. of Materials Processing Technologies, E-mail: k.pivovarova@magtu.ru
A. G. Korchunov, Dr. Eng., Prof., Head of Dept. of Design and Operation of Metallurgical Machines and Equipment, E-mail: international@magtu.ru

Production of metalware is characterized with a great variety of shapes and sizes, originality of each product and a multiple-stage process. Various techniques used to process steel sections (such as cold and hot forming, machining, heat treatment, etc.) make it significantly more difficult to tackle product quality problems. Modern product quality management methodologies are based on a wide use of economical, organizational, technical and other methods. This paper describes a production-related quality control method involving certain elements of robust design. This method is based on the definition of noise factors and control parameters, as well as the conduction of noise and principal experiments. The noise experiment will help estimate the impact of disturbing factors (environmental or industrial) on product quality indicators, whereas the principal experiment will help identify the optimum production mode that can deliver the best quality and, at the same time, minimize the production losses. Robust design techniques can be effectively utilized to control the quality of metalware when developing new and optimizing the existing processes. The paper gives an example of how the quality of S10S steel bars can be controlled through the application of efficient production modes enabling to minimize quality-related costs.

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