文章基本信息

标题：GG25 GRİ DÖKME DEMİR MALZEMESİNİN ÜRETİMİNDE BULANIK İSTATİSTİKSEL PROSES KONTROLÜNÜN UYGULANMASI
本地全文：下载
作者：Murat ÇOLAK ; Metin UÇURUM ; Mehmet ÇINAR 等
期刊名称：Mühendislik Bilimleri Dergisi
印刷版ISSN：2147-012X
出版年度：2018
卷号：7
期号：1
页码：427-437
语种：English
出版社：Niğde Üniversitesi Mühendislik Fakültesi Dekanlığı
摘要：The group of ferrous materials with more than 2% carbon in their chemical composition is commonly referred to as cast iron materials. Carbon Equivalent (CE) is an empirical value in weight percent, relating the combined effects of different alloying elements used in the making of cast iron to an equivalent amount of carbon. Statistical process control (SPC) can be applied in plants to obtain good quality and high standard products which have become very popular in many industries. Fuzzy process capability analysis by using X-R control charts gives more realistic results, developed with fuzzy theory. Fuzzy control charts are more sensitive than SPC. This study contains construction of a system design to observe whether the conditions of an alloy production line are within the specification and control limits. To determine the average percentage of CE values, the fuzzy X-bar and R charts were applied to GG25 gray cast iron samples for 20 days’ production. In order to control the process parameters and improve quality of the cast products, the comparison of the statistical and experimental results show that the fuzzy SPC methods can be simply applied on a foundry.
其他摘要：The group of ferrous materials with more than 2% carbon in their chemical composition is commonly referred to as cast iron materials. Carbon Equivalent (CE) is an empirical value in weight percent, relating the combined effects of different alloying elements used in the making of cast iron to an equivalent amount of carbon. Statistical process control (SPC) can be applied in plants to obtain good quality and high standard products which have become very popular in many industries. Fuzzy process capability analysis by using X-R control charts gives more realistic results, developed with fuzzy theory. Fuzzy control charts are more sensitive than SPC. This study contains construction of a system design to observe whether the conditions of an alloy production line are within the specification and control limits. To determine the average percentage of CE values, the fuzzy X-bar and R charts were applied to GG25 gray cast iron samples for 20 days’ production. In order to control the process parameters and improve quality of the cast products, the comparison of the statistical and experimental results show that the fuzzy SPC methods can be simply applied on a foundry. Keywords: GG25 gray cast iron, carbon equivalent, fuzzy statistical process control