با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
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Analyzing the effects of machining parameters on surface roughness of machined surfaces using vision system
تجزیه و تحلیل اثرات پارامترهای ماشینکاری بر زبری سطح سطوح ماشینکاری با استفاده از سیستم بینایی-2021 Surface roughness measurement of machined components helps in predicting the success or failure of component when it is put into service. Surface roughness measurement is also used to judge capability of manufacturing process. Surface roughness evaluation is also used for monitoring the condition of cutting tool or machine tool. Any change in process parameter or condition of the cutting tool results in changes in surface geometry and texture. Usually, the factors affecting the machining capability are its own inherent properties such as, feed, speed, depth of cut, tools, coolant flow rate etc. Relationship between stylus measured roughness and vision surface roughness (Ra) has been studied. As for as the knowledge of authors no research work has been reported about determining the effects of cutting parameters on surface roughness of milled components. In this context, the present research works assumes special significance. An attempt has been made in the current research work to explore the effect of cutting parameters on surface roughness of milled surfaces using vision system.© 2021 Elsevier Ltd. All rights reserved.
Keywords: Surface roughness | Vision system | Machine tool | Cutting tool | Machining parameters |
مقاله انگلیسی |
2 |
A method of NC machine tools intelligent monitoring system in smart factories
روش ابزار و ماشین آلات NC سیستم نظارت هوشمند در کارخانه های هوشمند-2020 The construction of effectual connection to bridge the gap between physical machine tools and upper software
applications is one of the inherent requirements for smart factories. The difficulties in this issue lies in the lack of
effective and appropriate means for real-time data acquisition, storage and processing in monitoring and the post
workflows. The rapid advancements in Internet of things (IoT) and information technology have made it possible
for the realization of this scheme, which have become an important module of the concepts such as “Industry
4.0”, etc. In this paper, a framework of bi-directional data and control flows between various machine tools and
upper-level software system is proposed, within which several key stumbling blocks are presented, and corresponding
solutions are subsequently deeply investigated and analyzed. Through monitoring manufacturing big
data, potential essential information are extracted, providing useful guides for practical production and enterprise
decision-making. Based on the integrated model, an NC machine tool intelligent monitoring and data
processing system in smart factories is developed. Typical machine tools, such as Siemens series, are the main
objects for investigation. The system validates the concept and performs well in the complex manufacturing
environment, which will be a beneficial attempt and gain its value in smart factories.. Keywords: CNC | Monitoring system | Data analysis | Machine tool | Smart factory |
مقاله انگلیسی |
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Service design visualization tools for supporting servitization in a machine tool manufacturer
ابزار بصری سازی طراحی خدمات برای پشتیبانی از خدمات رسانی در یک شرکت سازنده ابزار ماشینی-2018 |
مقاله انگلیسی |