Збірники наукових праць ЦНТУ
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Item type:Item, Програмне забезпечення АСК процесу індукційного нагрівання і наплавлення композиційних покриттів(КНТУ, 2013) Бісюк, В. А.; Bisuk, V.Проведено дослідження процесів індукційного нагрівання та наплавлення. В ході досліджень визначено технологічні параметри, що впливають на якість поверхні, що підлягає обробці – це температура і тривалість процесу ІНН, а відповідно напруга та частота струму на індукторі. Запропоновано АСК технологічним процесом індукційного наплавлення, яка розроблена на основі програмованої мікроконтролерної системи та відповідного програмного забезпечення. With the rapid pace of development of microelectronics and, consequently, the advent of high-speed automation made possible the creation of automated systems and automatic control of such processes, the automation of previously considered uneconomical or technically impracticable, to the extent where it would meet the requirements of a particular production. The difficulty of designing technological equipment with automatic control system is often a too complicated way to measure process parameters and the complexity of the control algorithm, the latter is decisive reason for rejecting high-speed automation processes when the time interval between the control action must be a millisecond or less. These processes include some process of induction heating and welding. The aim of this work is to study the properties of the process of induction heating parts and applying composite coatings and capacity development and implementation of ACS with the appropriate software. Increasingly, automation is to improve the quality of products, whereas previously it was mostly better performance. Task automation induction welding is relevant in various branches of engineering, such as the manufacture of agricultural machinery, railways, etc. Accordingly, the question of drawing automatic control system induction welding process that is focused on stabilizing the quality of the process and fully takes advantage of modern electronics and microcontroller software. Studies have shown processes INN factors influencing the flow of welding process, found their interdependence. Definitely more control over the parameters that significantly affect the quality of the parts. Software-driven ACS induction welding process based programmable microcontroller system enables dynamically (without stopping the process) managed to change the settings and save information about the process for monitoring and further processing.Item type:Item, Методичні рекомендації по здійсненню контролю якості аудиторських послуг(КНТУ, 2013) Михайленко, О. Г.; Mihaylenko, О.В статті досліджено законодавчу базу контролю якості аудиторських послуг в частині методики його здійснення. Сформовано і обґрунтовано стадії даного контролю та його процедури. Передбачено основні моменти, які слід враховувати при здійсненні контролю якості аудиту для запобігання помилок та недоліків у процесі перевірки. The article explored the legislative base of quality control audit services in part of its implementation. Formed and feasibility stages of this control and its procedures. Analysis Research of different authors allows us to highlight the following main stages of checking the level of quality assurance services an individual subject of activity: training-researchthe main and final stage they form the plan of external audits. As for the implementation of the internal quality control of audit, it is more his part is identical to the external. The proposed method of implementation of internal and external audits of quality control system audit is very similar and contain the same stage of implementation, castko and their treatments, theìznicâ in their holding is formed taking into account the time difference. The exterior is carried out not less than once in six years, and internal constantly in the process of audit activities. That is why an important part of the technique of external review is to analyse the State of the current internal quality control system and installation confidence level to its data.